{"pageNumber":"1485","pageRowStart":"37100","pageSize":"25","recordCount":184617,"records":[{"id":70118526,"text":"70118526 - 2013 - Consequences of flight height and line spacing on airborne (helicopter) gravity gradient resolution in the Great Sand Dunes National Park and Preserve, Colorado","interactions":[],"lastModifiedDate":"2014-07-29T11:40:51","indexId":"70118526","displayToPublicDate":"2013-08-01T11:33:50","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of flight height and line spacing on airborne (helicopter) gravity gradient resolution in the Great Sand Dunes National Park and Preserve, Colorado","docAbstract":"Line spacing and flight height are critical parameters in airborne gravity gradient surveys; the optimal trade-off between survey costs and desired resolution, however, is different for every situation. This article investigates the additional benefit of reducing the flight height and line spacing though a study of a survey conducted over the Great Sand Dunes National Park and Preserve, which is the highest-resolution public-domain airborne gravity gradient data set available, with overlapping high- and lower-resolution surveys. By using Fourier analysis and matched filtering, it is shown that while the lower-resolution survey delineates the target body, reducing the flight height from 80 m to 40 m and the line spacing from 100 m to 50 m improves the recoverable resolution even at basement depths.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Leading Edge","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","doi":"10.1190/tle32080932.1","usgsCitation":"Kass, M.A., 2013, Consequences of flight height and line spacing on airborne (helicopter) gravity gradient resolution in the Great Sand Dunes National Park and Preserve, Colorado: The Leading Edge, v. 32, no. 8, p. 932-938, https://doi.org/10.1190/tle32080932.1.","productDescription":"p. 932-4, 936, 938","startPage":"932","endPage":"938","numberOfPages":"5","ipdsId":"IP-045180","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":291290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291241,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/tle32080932.1"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dunes National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.728191,37.66272 ], [ -105.728191,37.863465 ], [ -105.497807,37.863465 ], [ -105.497807,37.66272 ], [ -105.728191,37.66272 ] ] ] } } ] }","volume":"32","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f286e4b0bc0bec0a0420","contributors":{"authors":[{"text":"Kass, M. Andy","contributorId":103593,"corporation":false,"usgs":true,"family":"Kass","given":"M.","email":"","middleInitial":"Andy","affiliations":[],"preferred":false,"id":496901,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045462,"text":"70045462 - 2013 - Posthandling survival and PIT tag retention by alewives—a comparison of gastric and surgical implants","interactions":[],"lastModifiedDate":"2014-01-15T11:57:11","indexId":"70045462","displayToPublicDate":"2013-08-01T11:28:00","publicationYear":"2013","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":"Posthandling survival and PIT tag retention by alewives—a comparison of gastric and surgical implants","docAbstract":"We compared survival and tag retention of Alewives Alosa pseudoharengus tagged with PIT tags, using intraperitoneal (IP) surgical implants, gastric implants (GI), and untagged controls held for 38 d. Retention was 100% for IP-tagged Alewives and 98% for GI-tagged implants. No significant difference in survival was observed among any of these groups. These results lend support to the use of PIT telemetry for studying fish passage and migration of anadromous herring. Both methods hold promise for improving estimates of freshwater survival of adult anadromous clupeids; further research should make it also possible to refine estimates of adult marine survival.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.811130","usgsCitation":"Castro-Santos, T., and Voni, V., 2013, Posthandling survival and PIT tag retention by alewives—a comparison of gastric and surgical implants: North American Journal of Fisheries Management, v. 33, no. 4, p. 790-794, https://doi.org/10.1080/02755947.2013.811130.","productDescription":"5 p.","startPage":"790","endPage":"794","ipdsId":"IP-045258","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":281086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281084,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.811130"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Monument River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.582,41.755 ], [ -70.582,41.795 ], [ -70.542,41.795 ], [ -70.542,41.755 ], [ -70.582,41.755 ] ] ] } } ] }","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-02","publicationStatus":"PW","scienceBaseUri":"53cd6bf5e4b0b2908510441e","contributors":{"authors":[{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":32573,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[],"preferred":false,"id":477534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voni, Volney","contributorId":99040,"corporation":false,"usgs":true,"family":"Voni","given":"Volney","email":"","affiliations":[],"preferred":false,"id":477535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047679,"text":"70047679 - 2013 - On the insignificance of Herschel's sunspot correlation","interactions":[],"lastModifiedDate":"2018-10-26T14:16:34","indexId":"70047679","displayToPublicDate":"2013-08-01T11:24:00","publicationYear":"2013","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":"On the insignificance of Herschel's sunspot correlation","docAbstract":"We examine William Herschel's hypothesis that solar-cycle variation of the Sun's irradiance has a modulating effect on the Earth's climate and that this is, specifically, manifested as an anticorrelation between sunspot number and the market price of wheat. Since Herschel first proposed his hypothesis in 1801, it has been regarded with both interest and skepticism. Recently, reports have been published that either support Herschel's hypothesis or rely on its validity. As a test of Herschel's hypothesis, we seek to reject a null hypothesis of a statistically random correlation between historical sunspot numbers, wheat prices in London and the United States, and wheat farm yields in the United States. We employ binary-correlation, Pearson-correlation, and frequency-domain methods. We test our methods using a historical geomagnetic activity index, well known to be causally correlated with sunspot number. As expected, the measured correlation between sunspot number and geomagnetic activity would be an unlikely realization of random data; the correlation is “statistically significant.” On the other hand, measured correlations between sunspot number and wheat price and wheat yield data would be very likely realizations of random data; these correlations are “insignificant.” Therefore, Herschel's hypothesis must be regarded with skepticism. We compare and contrast our results with those of other researchers. We discuss procedures for evaluating hypotheses that are formulated from historical data.","language":"English","publisher":"Wiley","doi":"10.1002/grl.50846","usgsCitation":"Love, J.J., 2013, On the insignificance of Herschel's sunspot correlation: Geophysical Research Letters, v. 40, no. 16, p. 4171-4176, https://doi.org/10.1002/grl.50846.","productDescription":"6 p.","startPage":"4171","endPage":"4176","numberOfPages":"6","ipdsId":"IP-050651","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":313,"text":"Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":280736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276748,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50846"}],"volume":"40","issue":"16","noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"53cd69e7e4b0b29085102e8d","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":482703,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047484,"text":"70047484 - 2013 - Regeneration in bottomland forest canopy gaps six years after variable retention harvests to enhance wildlife habitat","interactions":[],"lastModifiedDate":"2017-01-31T12:33:29","indexId":"70047484","displayToPublicDate":"2013-08-01T11:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"SRS-175","title":"Regeneration in bottomland forest canopy gaps six years after variable retention harvests to enhance wildlife habitat","docAbstract":"To promote desired forest conditions that enhance wildlife habitat in bottomland forests, managers prescribed and implemented variable-retention harvest, a.k.a. wildlife forestry, in four stands on Tensas River National Wildlife Refuge, LA. These treatments created canopy openings (gaps) within which managers sought to regenerate shade-intolerant trees. Six years after prescribed harvests, we assessed regeneration in 41 canopy gaps and 4 large (>0.5-ha) patch cut openings that resulted from treatments and in 21 natural canopy gaps on 2 unharvested control stands. Mean gap area of anthropogenic gaps (582 m²) was greater than that of natural gaps (262 m²). Sweetgum (<i>Liquidambar styraciflua</i>) and red oaks (<i>Quercus nigra, Q. nuttallii,</i> and <i>Q. phellos</i>) were common in anthropogenic gaps, whereas elms (<i>Ulmus</i> spp.) and sugarberry (<i>Celtis laevigata</i>) were numerous in natural gaps. We recommend harvest prescriptions include gaps with diameter >25 m, because the proportion of shade-intolerant regeneration increased with gap area up to 500 m². The proportion of shade-intolerant definitive gap fillers (individuals likely to occupy the canopy) increased with gap area: 35 percent in natural gaps, 54 percent in anthropogenic gaps, and 84 percent in patch cuts. Sweetgum, green ash (<i>Fraxinus pennsylvanica</i>), and red oaks were common definitive gap fillers.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Proceedings of the 15th biennial southern silvicultural research conference (Tech. Rep. SRS-GTR-175)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture, Forest Service, Southern Research Station","publisherLocation":"Asheville, NC","usgsCitation":"Twedt, D.J., and Somershoe, S.G., 2013, Regeneration in bottomland forest canopy gaps six years after variable retention harvests to enhance wildlife habitat: General Technical Report SRS-175, 9 p.","productDescription":"9 p.","startPage":"261","endPage":"269","numberOfPages":"9","ipdsId":"IP-011137","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281033,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/43909"}],"country":"United States","state":"Louisiana","otherGeospatial":"Tensas River National Wildlife Refuge","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5355955ce4b0120853e8c1a9","contributors":{"editors":[{"text":"Guldin, James M.","contributorId":111730,"corporation":false,"usgs":true,"family":"Guldin","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509553,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"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":482166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Somershoe, Scott G.","contributorId":58756,"corporation":false,"usgs":true,"family":"Somershoe","given":"Scott","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482167,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057582,"text":"70057582 - 2013 - USGS Nonindigenous Aquatic Species database with a focus on the introduced fishes of the lower Tennessee and Cumberland drainages","interactions":[],"lastModifiedDate":"2014-05-28T10:59:09","indexId":"70057582","displayToPublicDate":"2013-08-01T10:38:59","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"USGS Nonindigenous Aquatic Species database with a focus on the introduced fishes of the lower Tennessee and Cumberland drainages","docAbstract":"The Nonindigenous Aquatic Species (NAS) database (http://nas.er.usgs.gov) functions as a national repository and clearinghouse for occurrence data for introduced species within the United States. Included is locality information on over 1,100 species of vertebrates, invertebrates, and vascular plants introduced as early as 1850. Taxa include foreign (exotic) species and species native to North America that have been transported outside of their natural range. Locality data are obtained from published and unpublished literature, state, federal and local monitoring programs, museum accessions, on-line databases, websites, professional communications and on-line reporting forms. The NAS web site provides immediate access to new occurrence records through a real-time interface with the NAS database. Visitors to the web site are presented with a set of pre-defined queries that generate lists of species according to state or hydrologic basin of interest. Fact sheets, distribution maps, and information on new occurrences are updated as new records and information become available. The NAS database allows resource managers to learn of new introductions reported in their region or nearby regions, improving response time. Conversely, managers are encouraged to report their observations of new occurrences to the NAS database so information can be disseminated to other managers, researchers, and the public. In May 2004, the NAS database incorporated an Alert System to notify registered users of new introductions as part of a national early detection/rapid response system. Users can register to receive alerts based on geographic or taxonomic criteria. The NAS database was used to identify 23 fish species introduced into the lower Tennessee and Cumberland drainages. Most of these are sport fish stocked to support fisheries, but the list also includes accidental and illegal introductions such as Asian Carps, clupeids, various species popular in the aquarium trade, and Atlantic Needlefish (<i>Strongylura marina</i>) that was introduced via the newly-constructed Tennessee-Tombigbee Canal.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 14th Symposium on the Natural History of Lower Tennessee and Cumberland River Valleys","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Center for Excellence for Field Biology, Austin Peay State University","publisherLocation":"Clarksville, TN","usgsCitation":"Fuller, P.L., and Cannister, M., 2013, USGS Nonindigenous Aquatic Species database with a focus on the introduced fishes of the lower Tennessee and Cumberland drainages, <i>in</i> Proceedings of the 14th Symposium on the Natural History of Lower Tennessee and Cumberland River Valleys, p. 29-42.","productDescription":"14 p.","startPage":"29","endPage":"42","numberOfPages":"14","ipdsId":"IP-033618","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":287661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287660,"type":{"id":15,"text":"Index Page"},"url":"https://www.apsu.edu/field-biology/center/publications"}],"country":"United States","otherGeospatial":"Cumberland River;Tennessee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870574e4b0aa26cd7b5405","contributors":{"editors":[{"text":"Johansen, Rebecca","contributorId":113123,"corporation":false,"usgs":true,"family":"Johansen","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":509652,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Estes, Dwayne 0000-0003-1088-7082","orcid":"https://orcid.org/0000-0003-1088-7082","contributorId":112194,"corporation":false,"usgs":true,"family":"Estes","given":"Dwayne","email":"","affiliations":[],"preferred":false,"id":509651,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hamilton, Steven W.","contributorId":111955,"corporation":false,"usgs":true,"family":"Hamilton","given":"Steven","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":509650,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Barrass, Andrew N.","contributorId":113842,"corporation":false,"usgs":true,"family":"Barrass","given":"Andrew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":509653,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Fuller, Pamela L. 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":3217,"corporation":false,"usgs":true,"family":"Fuller","given":"Pamela","email":"pfuller@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":486783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannister, Matthew 0000-0002-9354-2989","orcid":"https://orcid.org/0000-0002-9354-2989","contributorId":79807,"corporation":false,"usgs":true,"family":"Cannister","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":486784,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70049165,"text":"70049165 - 2013 - Consumption of seeds of southwestern white pine (<i>Pinus strobiformis</i>) by Black Bear (<i>Ursus americanus</i>)","interactions":[],"lastModifiedDate":"2016-07-17T08:49:25","indexId":"70049165","displayToPublicDate":"2013-08-01T10:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Consumption of seeds of southwestern white pine (<i>Pinus strobiformis</i>) by Black Bear (<i>Ursus americanus</i>)","docAbstract":"<p>We report a discovery of black bears (<i><i>Ursus americanus</i></i>) consuming seeds of southwestern white pine (<i><i>Pinus strobiformis</i></i>) on north slopes of the San Francisco Peaks near Flagstaff, Arizona, in high-elevation, mixed-species conifer forest. In one instance, a bear had obtained seeds from cones excavated from a larder horde made by a red squirrel (<i><i>Tamiasciurus hudsonicus</i></i>). Consumption of seeds of southwestern white pine by bears had not been previously documented. This discovery adds to the number of species of pine used by bears for food as well as the geographic range within which the behavior occurs.</p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-58.2.243","usgsCitation":"Mattson, D.J., and Arundel, T.A., 2013, Consumption of seeds of southwestern white pine (<i>Pinus strobiformis</i>) by Black Bear (<i>Ursus americanus</i>): Southwestern Naturalist, v. 58, no. 2, p. 243-245, https://doi.org/10.1894/0038-4909-58.2.243.","productDescription":"3 p.","startPage":"243","endPage":"245","numberOfPages":"3","ipdsId":"IP-030358","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":279003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Flagstaff","otherGeospatial":"San Francisco Peaks","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.709128,35.122313 ], [ -111.709128,35.240102 ], [ -111.50679,35.240102 ], [ -111.50679,35.122313 ], [ -111.709128,35.122313 ] ] ] } } ] }","volume":"58","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52835bf2e4b047efbbb4ad4e","contributors":{"authors":[{"text":"Mattson, David J. david_mattson@usgs.gov","contributorId":3662,"corporation":false,"usgs":true,"family":"Mattson","given":"David","email":"david_mattson@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":486102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arundel, Terry A.","contributorId":33213,"corporation":false,"usgs":true,"family":"Arundel","given":"Terry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486103,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048423,"text":"70048423 - 2013 - Quantifying wetland–aquifer interactions in a humid subtropical climate region: An integrated approach","interactions":[],"lastModifiedDate":"2013-09-26T10:38:34","indexId":"70048423","displayToPublicDate":"2013-08-01T10:24:14","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying wetland–aquifer interactions in a humid subtropical climate region: An integrated approach","docAbstract":"Wetlands are widely recognized as sentinels of global climate change. Long-term monitoring data combined with process-based modeling has the potential to shed light on key processes and how they change over time. This paper reports the development and application of a simple water balance model based on long-term climate, soil, vegetation and hydrological dynamics to quantify groundwater–surface water (GW–SW) interactions at the Norman landfill research site in Oklahoma, USA. Our integrated approach involved model evaluation by means of the following independent measurements: (a) groundwater inflow calculation using stable isotopes of oxygen and hydrogen (<sup>16</sup>O, <sup>18</sup>O, <sup>1</sup>H, <sup>2</sup>H); (b) seepage flux measurements in the wetland hyporheic sediment; and (c) pan evaporation measurements on land and in the wetland. The integrated approach was useful for identifying the dominant hydrological processes at the site, including recharge and subsurface flows. Simulated recharge compared well with estimates obtained using isotope methods from previous studies and allowed us to identify specific annual signatures of this important process during the period of study (1997–2007). Similarly, observations of groundwater inflow and outflow rates to and from the wetland using seepage meters and isotope methods were found to be in good agreement with simulation results. Results indicate that subsurface flow components in the system are seasonal and readily respond to rainfall events. The wetland water balance is dominated by local groundwater inputs and regional groundwater flow contributes little to the overall water balance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.06.022","usgsCitation":"Mendoza-Sanchez, I., Phanikumar, M., Niu, J., Masoner, J.R., Cozzarelli, I.M., and McGuire, J., 2013, Quantifying wetland–aquifer interactions in a humid subtropical climate region: An integrated approach: Journal of Hydrology, v. 498, p. 237-253, https://doi.org/10.1016/j.jhydrol.2013.06.022.","productDescription":"17 p.","startPage":"237","endPage":"253","ipdsId":"IP-014582","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":278116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278115,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.06.022"}],"country":"United States","state":"Oklahoma","city":"Norman","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.55,35.14 ], [ -97.55,35.35 ], [ -97.18,35.35 ], [ -97.18,35.14 ], [ -97.55,35.14 ] ] ] } } ] }","volume":"498","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52455769e4b0b3d37307e1b4","contributors":{"authors":[{"text":"Mendoza-Sanchez, Itza","contributorId":20246,"corporation":false,"usgs":true,"family":"Mendoza-Sanchez","given":"Itza","email":"","affiliations":[],"preferred":false,"id":484612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phanikumar, Mantha S.","contributorId":17888,"corporation":false,"usgs":true,"family":"Phanikumar","given":"Mantha S.","affiliations":[],"preferred":false,"id":484611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niu, Jie","contributorId":30535,"corporation":false,"usgs":true,"family":"Niu","given":"Jie","affiliations":[],"preferred":false,"id":484613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":484609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, Jennifer T.","contributorId":53979,"corporation":false,"usgs":true,"family":"McGuire","given":"Jennifer T.","affiliations":[],"preferred":false,"id":484614,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048367,"text":"70048367 - 2013 - Climate downscaling effects on predictive ecological models: a case study for threatened and endangered vertebrates in the southeastern United States","interactions":[],"lastModifiedDate":"2013-09-24T10:20:54","indexId":"70048367","displayToPublicDate":"2013-08-01T10:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate downscaling effects on predictive ecological models: a case study for threatened and endangered vertebrates in the southeastern United States","docAbstract":"High-resolution (downscaled) projections of future climate conditions are critical inputs to a wide variety of ecological and socioeconomic models and are created using numerous different approaches. Here, we conduct a sensitivity analysis of spatial predictions from climate envelope models for threatened and endangered vertebrates in the southeastern United States to determine whether two different downscaling approaches (with and without the use of a regional climate model) affect climate envelope model predictions when all other sources of variation are held constant. We found that prediction maps differed spatially between downscaling approaches and that the variation attributable to downscaling technique was comparable to variation between maps generated using different general circulation models (GCMs). Precipitation variables tended to show greater discrepancies between downscaling techniques than temperature variables, and for one GCM, there was evidence that more poorly resolved precipitation variables contributed relatively more to model uncertainty than more well-resolved variables. Our work suggests that ecological modelers requiring high-resolution climate projections should carefully consider the type of downscaling applied to the climate projections prior to their use in predictive ecological modeling. The uncertainty associated with alternative downscaling methods may rival that of other, more widely appreciated sources of variation, such as the general circulation model or emissions scenario with which future climate projections are created.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10113-012-0389-z","usgsCitation":"Bucklin, D.N., Watling, J., Speroterra, C., Brandt, L., Mazzotti, F., and Romañach, S., 2013, Climate downscaling effects on predictive ecological models: a case study for threatened and endangered vertebrates in the southeastern United States: Regional Environmental Change, v. 13, no. 1 Suppl., p. 57-68, https://doi.org/10.1007/s10113-012-0389-z.","productDescription":"12 p.","startPage":"57","endPage":"68","numberOfPages":"12","ipdsId":"IP-040975","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":278024,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-012-0389-z"},{"id":278025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama;Florida;Georgia;Mississippi;South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,25.0 ], [ -90.0,35.0 ], [ -75.0,35.0 ], [ -75.0,25.0 ], [ -90.0,25.0 ] ] ] } } ] }","volume":"13","issue":"1 Suppl.","noUsgsAuthors":false,"publicationDate":"2012-12-27","publicationStatus":"PW","scienceBaseUri":"5242b462e4b096ee624641dd","contributors":{"authors":[{"text":"Bucklin, David N.","contributorId":44812,"corporation":false,"usgs":true,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":484443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watling, James I.","contributorId":101963,"corporation":false,"usgs":true,"family":"Watling","given":"James I.","affiliations":[],"preferred":false,"id":484447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Speroterra, Carolina","contributorId":54089,"corporation":false,"usgs":true,"family":"Speroterra","given":"Carolina","affiliations":[],"preferred":false,"id":484444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":484442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":484446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romañach, Stephanie S.","contributorId":76064,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","affiliations":[],"preferred":false,"id":484445,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045907,"text":"70045907 - 2013 - Modelling interactions of toxicants and density dependence in wildlife populations","interactions":[],"lastModifiedDate":"2014-02-19T09:38:52","indexId":"70045907","displayToPublicDate":"2013-08-01T10:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modelling interactions of toxicants and density dependence in wildlife populations","docAbstract":"<p>1. A major challenge in the conservation of threatened and endangered species is to predict population decline and design appropriate recovery measures. However, anthropogenic impacts on wildlife populations are notoriously difficult to predict due to potentially nonlinear responses and interactions with natural ecological processes like density dependence.</p>\n<br/>\n<p>2. Here, we incorporated both density dependence and anthropogenic stressors in a stage-based matrix population model and parameterized it for a density-dependent population of peregrine falcons <i>Falco peregrinus</i> exposed to two anthropogenic toxicants [dichlorodiphenyldichloroethylene (DDE) and polybrominated diphenyl ethers (PBDEs)]. Log-logistic exposure–response relationships were used to translate toxicant concentrations in peregrine falcon eggs to effects on fecundity. Density dependence was modelled as the probability of a nonbreeding bird acquiring a breeding territory as a function of the current number of breeders.</p>\n<br/>\n<p>3. The equilibrium size of the population, as represented by the number of breeders, responded nonlinearly to increasing toxicant concentrations, showing a gradual decrease followed by a relatively steep decline. Initially, toxicant-induced reductions in population size were mitigated by an alleviation of the density limitation, that is, an increasing probability of territory acquisition. Once population density was no longer limiting, the toxicant impacts were no longer buffered by an increasing proportion of nonbreeders shifting to the breeding stage, resulting in a strong decrease in the equilibrium number of breeders.</p>\n<br/>\n<p>4. Median critical exposure concentrations, that is, median toxicant concentrations in eggs corresponding with an equilibrium population size of zero, were 33 and 46 μg g<sup>−1</sup> fresh weight for DDE and PBDEs, respectively.</p>\n<br/>\n<p>5. <i>Synthesis and applications.</i> Our modelling results showed that particular life stages of a density-limited population may be relatively insensitive to toxicant impacts until a critical threshold is crossed. In our study population, toxicant-induced changes were observed in the equilibrium number of nonbreeding rather than breeding birds, suggesting that monitoring efforts including both life stages are needed to timely detect population declines. Further, by combining quantitative exposure–response relationships with a wildlife demographic model, we provided a method to quantify critical toxicant thresholds for wildlife population persistence.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/1365-2664.12142","usgsCitation":"Schipper, A.M., Hendriks, H.W., Kauffman, M., Hendriks, A.J., and Huijbregts, M.A., 2013, Modelling interactions of toxicants and density dependence in wildlife populations: Journal of Applied Ecology, v. 50, no. 6, p. 1469-1478, https://doi.org/10.1111/1365-2664.12142.","productDescription":"10 p.","startPage":"1469","endPage":"1478","onlineOnly":"Y","ipdsId":"IP-042612","costCenters":[],"links":[{"id":473627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12142","text":"Publisher Index Page"},{"id":282517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282516,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12142"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-08-08","publicationStatus":"PW","scienceBaseUri":"53cd67f4e4b0b29085101b83","contributors":{"authors":[{"text":"Schipper, Aafke M.","contributorId":76645,"corporation":false,"usgs":true,"family":"Schipper","given":"Aafke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":478520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendriks, Harrie W.M.","contributorId":94210,"corporation":false,"usgs":true,"family":"Hendriks","given":"Harrie","email":"","middleInitial":"W.M.","affiliations":[],"preferred":false,"id":478521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":2963,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":478517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hendriks, A. Jan","contributorId":18673,"corporation":false,"usgs":true,"family":"Hendriks","given":"A.","email":"","middleInitial":"Jan","affiliations":[],"preferred":false,"id":478518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huijbregts, Mark A.J.","contributorId":68215,"corporation":false,"usgs":true,"family":"Huijbregts","given":"Mark","email":"","middleInitial":"A.J.","affiliations":[],"preferred":false,"id":478519,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048500,"text":"70048500 - 2013 - Immunological markers for tolerance to avian malaria in Hawai`i `Amakihi: new tools for restoring native Hawaiian forest birds?","interactions":[],"lastModifiedDate":"2014-06-20T14:07:01","indexId":"70048500","displayToPublicDate":"2013-08-01T09:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"HCSU-042","title":"Immunological markers for tolerance to avian malaria in Hawai`i `Amakihi: new tools for restoring native Hawaiian forest birds?","docAbstract":"We evaluated three assays for non-specific or innate immune capacity to see if measurements were independent of malarial infection and capable of distinguishing malaria-tolerant, low-elevation Hawaiʽi ʽAmakihi from malaria-susceptible, high-elevation ʽAmakihi. ʽAmakihi were captured at Malama Ki Forest Reserve (20 m), Hakalau Forest National Wildlife Refuge (1800 m), and Upper Waiakea Forest Reserve (1700 m), bled for collection of plasma and packed  erythrocytes for malarial diagnostics, and either transported to Kīlauea Field Station Aviary and held in captivity for 48 hours for inoculation of wing webs with phytohemagglutinin A (PHA) or released immediately in the field after collection of a blood sample. All birds were tested by polymerase chain reaction (PCR) and microscopy to determine infection status. We found no significant association between malarial infection status and degree of wing web swelling after inoculation with PHA (T = -0.174, df = 13, P = 0.864) and no association between origin of birds from low- and high-elevation populations and degree of wing web swelling (T = 0.113, df = 52, P = 0.911). Infected ʽAmakihi from low elevation had significantly higher small molecule plasma antioxidant capacity than uninfected individuals from the same population (T = -2.675, df = 21, P = 0.014), so we limited comparisons to uninfected birds. Uninfected ʽAmakihi from low elevations did not differ in small molecule plasma antioxidant capacity from uninfected ʽAmakihi from high elevation (T = -0.260, df = 46, P = 0.796). Compared to high-elevation birds, low-elevation ʽAmakihi had significantly higher titers of natural antibodies (NAb) as measured by complement-mediated lysis of rabbit erythrocytes (Mann-Whitney U = 27, <i>X</i><sup>2</sup>= 32.332, df = 1, P < 0.0001). This innate immunological difference may be related to ability to survive malarial infection and may prove to be important for understanding possible mechanisms for the evolution of disease tolerance in Hawaiʽi’s native bird species.","language":"English","publisher":"University of Hawai‘i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Atkinson, C.T., and Paxton, E.H., 2013, Immunological markers for tolerance to avian malaria in Hawai`i `Amakihi: new tools for restoring native Hawaiian forest birds?, iii, 14 p.","productDescription":"iii, 14 p.","numberOfPages":"19","ipdsId":"IP-049551","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":279103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278236,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hakalau Forest National Wildlife Refuge;Malama Ki Forest Reserve;Upper Waiakea Forest Reserve","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52875097e4b03b89f6f155a3","contributors":{"authors":[{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":484850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":484851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057930,"text":"70057930 - 2013 - Quantifying long-term risks to sea otters from the 1989 'Exxon Valdez' oil spill: reply to Harwell & Gentile (2013)","interactions":[],"lastModifiedDate":"2017-06-28T14:52:19","indexId":"70057930","displayToPublicDate":"2013-08-01T09:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying long-term risks to sea otters from the 1989 'Exxon Valdez' oil spill: reply to Harwell & Gentile (2013)","docAbstract":"Recovery of sea otter populations in Prince William Sound (PWS), Alaska, has been delayed for more than 2 decades following the 1989 ‘Exxon Valdez’ oil spill. Harwell & Gentile (2013; Mar Ecol Prog Ser 488:291–296) question our conclusions in Bodkin et al. (2012; Mar Ecol Prog Ser 447:273-287) regarding adverse effects that oil lingering in the environment may have on sea otters. They agree that exposure may continue, but disagree that it constitutes a significant risk to sea otters. In Bodkin et al. (2012), we suggested that subtle effects of chronic exposure were the most reasonable explanation for delayed recovery of the sea otter population in areas of western PWS, where shorelines were most heavily oiled. Here, we provide additional information on the ecology of sea otters that clarifies why the toxicological effects of oral ingestion of oil do not reflect all effects of chronic exposure. The full range of energetic, behavioral, and toxicological concerns must be considered to appraise how chronic exposure to residual oil may constrain recovery of sea otter populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10498","usgsCitation":"Ballachey, B.E., Bodkin, J.L., and Monson, D., 2013, Quantifying long-term risks to sea otters from the 1989 'Exxon Valdez' oil spill: reply to Harwell & Gentile (2013): Marine Ecology Progress Series, v. 488, p. 297-301, https://doi.org/10.3354/meps10498.","productDescription":"5 p.","startPage":"297","endPage":"301","numberOfPages":"5","ipdsId":"IP-049041","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10498","text":"Publisher Index Page"},{"id":280132,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10498"},{"id":280133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.0456,60.3221 ], [ -148.0456,60.8652 ], [ -146.5302,60.8652 ], [ -146.5302,60.3221 ], [ -148.0456,60.3221 ] ] ] } } ] }","volume":"488","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529f0b84e4b01942f4ab8c12","contributors":{"authors":[{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":486944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":486943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":486945,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70093728,"text":"70093728 - 2013 - Phenology-based, remote sensing of post-burn disturbance windows in rangelands","interactions":[],"lastModifiedDate":"2014-02-12T09:32:09","indexId":"70093728","displayToPublicDate":"2013-08-01T08:57:51","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Phenology-based, remote sensing of post-burn disturbance windows in rangelands","docAbstract":"Wildland fire activity has increased in many parts of the world in recent decades. Ecological disturbance by fire can accelerate ecosystem degradation processes such as erosion due to combustion of vegetation that otherwise provides protective cover to the soil surface. This study employed a novel ecological indicator based on remote sensing of vegetation greenness dynamics (phenology) to estimate variability in the window of time between fire and the reemergence of green vegetation. The indicator was applied as a proxy for short-term, post-fire disturbance windows in rangelands; where a disturbance window is defined as the time required for an ecological or geomorphic process that is altered to return to pre-disturbance levels. We examined variability in the indicator determined for time series of MODIS and AVHRR NDVI remote sensing data for a database of ∼100 historical wildland fires, with associated post-fire reseeding treatments, that burned 1990–2003 in cold desert shrub steppe of the Great Basin and Columbia Plateau of the western USA. The indicator-based estimates of disturbance window length were examined relative to the day of the year that fires burned and seeding treatments to consider effects of contemporary variability in fire regime and management activities in this environment. A key finding was that contemporary changes of increased length of the annual fire season could have indirect effects on ecosystem degradation, as early season fires appeared to result in longer time that soils remained relatively bare of the protective cover of vegetation after fires. Also important was that reemergence of vegetation did not occur more quickly after fire in sites treated with post-fire seeding, which is a strategy commonly employed to accelerate post-fire vegetation recovery and stabilize soil. Future work with the indicator could examine other ecological factors that are dynamic in space and time following disturbance – such as nutrient cycling, carbon storage, microbial community composition, or soil hydrology – as a function of disturbance windows, possibly using simulation modeling and historical wildfire information.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.02.004","usgsCitation":"Sankeya, J.B., Wallace, C., and Ravi, S., 2013, Phenology-based, remote sensing of post-burn disturbance windows in rangelands: Ecological Indicators, v. 30, p. 35-44, https://doi.org/10.1016/j.ecolind.2013.02.004.","productDescription":"10 p.","startPage":"35","endPage":"44","ipdsId":"IP-043510","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":282293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282292,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2013.02.004"}],"country":"United States","state":"California;Idaho;Nevada;Oregon;Utah;Washington","otherGeospatial":"Great Basin;Columbia Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.11,34.92 ], [ -120.11,46.83 ], [ -114.13,46.83 ], [ -114.13,34.92 ], [ -120.11,34.92 ] ] ] } } ] }","volume":"30","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6b1fe4b0b29085103b13","chorus":{"doi":"10.1016/j.ecolind.2013.02.004","url":"http://dx.doi.org/10.1016/j.ecolind.2013.02.004","publisher":"Elsevier BV","authors":"Sankey Joel B., Wallace Cynthia S.A., Ravi Sujith","journalName":"Ecological Indicators","publicationDate":"7/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Sankeya, Joel B.","contributorId":86687,"corporation":false,"usgs":true,"family":"Sankeya","given":"Joel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":490183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Cynthia S.A.","contributorId":70487,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","affiliations":[],"preferred":false,"id":490182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ravi, Sujith","contributorId":40844,"corporation":false,"usgs":true,"family":"Ravi","given":"Sujith","affiliations":[],"preferred":false,"id":490181,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047845,"text":"70047845 - 2013 - Magma mixing and the generation of isotopically juvenile silicic magma at Yellowstone caldera inferred from coupling <sup>238</sup>U–<sup>230</sup>Th ages with trace elements and Hf and O isotopes in zircon and Pb isotopes in sanidine","interactions":[],"lastModifiedDate":"2013-08-28T08:54:05","indexId":"70047845","displayToPublicDate":"2013-08-01T08:46:10","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Magma mixing and the generation of isotopically juvenile silicic magma at Yellowstone caldera inferred from coupling <sup>238</sup>U–<sup>230</sup>Th ages with trace elements and Hf and O isotopes in zircon and Pb isotopes in sanidine","docAbstract":"The nature of compositional heterogeneity within large silicic magma bodies has important implications for how silicic reservoirs are assembled and evolve through time. We examine compositional heterogeneity in the youngest (~170 to 70 ka) post-caldera volcanism at Yellowstone caldera, the Central Plateau Member (CPM) rhyolites, as a case study. We compare <sup>238</sup>U–<sup>230</sup>Th age, trace-element, and Hf isotopic data from zircons, and major-element, Ba, and Pb isotopic data from sanidines hosted in two CPM rhyolites (Hayden Valley and Solfatara Plateau flows) and one extracaldera rhyolite (Gibbon River flow), all of which erupted near the caldera margin ca. 100 ka. The Hayden Valley flow hosts two zircon populations and one sanidine population that are consistent with residence in the CPM reservoir. The Gibbon River flow hosts one zircon population that is compositionally distinct from Hayden Valley flow zircons. The Solfatara Plateau flow contains multiple sanidine populations and all three zircon populations found in the Hayden Valley and Gibbon River flows, demonstrating that the Solfatara Plateau flow formed by mixing extracaldera magma with the margin of the CPM reservoir. This process highlights the dynamic nature of magmatic interactions at the margins of large silicic reservoirs. More generally, Hf isotopic data from the CPM zircons provide the first direct evidence for isotopically juvenile magmas contributing mass to the youngest post-caldera magmatic system and demonstrate that the sources contributing magma to the CPM reservoir were heterogeneous in <sup>176</sup>Hf/<sup>177</sup>Hf at ca. 100 ka. Thus, the limited compositional variability of CPM glasses reflects homogenization occurring within the CPM reservoir, not a homogeneous source.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Contributions to Mineralogy and Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00410-013-0893-2","usgsCitation":"Stelten, M., Cooper, K.M., Vazquez, J.A., Reid, M.R., Barfod, G.H., Wimpenny, J., and Yin, Q., 2013, Magma mixing and the generation of isotopically juvenile silicic magma at Yellowstone caldera inferred from coupling <sup>238</sup>U–<sup>230</sup>Th ages with trace elements and Hf and O isotopes in zircon and Pb isotopes in sanidine: Contributions to Mineralogy and Petrology, v. 166, no. 2, p. 587-613, https://doi.org/10.1007/s00410-013-0893-2.","productDescription":"27 p.","startPage":"587","endPage":"613","ipdsId":"IP-048831","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277047,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00410-013-0893-2"},{"id":277048,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s00410-013-0893-2"},{"id":277073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.156,44.1324 ], [ -111.156,45.109 ], [ -109.8242,45.109 ], [ -109.8242,44.1324 ], [ -111.156,44.1324 ] ] ] } } ] }","volume":"166","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-27","publicationStatus":"PW","scienceBaseUri":"521f1beae4b0f8bf2b076140","contributors":{"authors":[{"text":"Stelten, Mark E.","contributorId":58544,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark E.","affiliations":[],"preferred":false,"id":483127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Kari M.","contributorId":32814,"corporation":false,"usgs":true,"family":"Cooper","given":"Kari","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":483122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Mary R.","contributorId":11925,"corporation":false,"usgs":true,"family":"Reid","given":"Mary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":483123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barfod, Gry H.","contributorId":59331,"corporation":false,"usgs":true,"family":"Barfod","given":"Gry","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wimpenny, Josh","contributorId":35223,"corporation":false,"usgs":true,"family":"Wimpenny","given":"Josh","affiliations":[],"preferred":false,"id":483126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yin, Qing-Zhu","contributorId":23833,"corporation":false,"usgs":true,"family":"Yin","given":"Qing-Zhu","affiliations":[],"preferred":false,"id":483124,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70095677,"text":"70095677 - 2013 - Proceedings of a workshop on American Eel passage technologies","interactions":[],"lastModifiedDate":"2018-01-26T17:07:15","indexId":"70095677","displayToPublicDate":"2013-08-01T08:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesNumber":"90","title":"Proceedings of a workshop on American Eel passage technologies","docAbstract":"<p>Recent concerns regarding a decline in recruitment of American eels (<i>Anguilla rostrata</i>) have prompted efforts to restore this species to historic habitats by providing passage for both upstream migrant juveniles and downstream migrant adults at riverine barriers, including low-head and hydroelectric dams (Castonguay et al. 1994, Haro et al. 2000).  These efforts include development of management plans and stock assessment reviews in both the US and Canada (COSEWIC 2006, Canadian Eel Working Group 2009, DFO 2010, MacGregor et al. 2010, ASMFC 2000, ASMFC 2006, ASMFC 2008, Williams and Threader 2007), which target improvement of upstream and downstream passage for eels, as well as identification and prioritization of research needs for development of new and more effective passage technologies for American eels.</p>\n<br/>\n<p>Traditional upstream fish passage structures, such as fishways and fish lifts, are often ineffective passing juvenile eels, and specialized passage structures for this species are needed.  Although designs for such passage structures are available and diverse (Knights and White 1998, Porcher 2002, FAO/DVWK 2002, Solomon and Beach 2004a,b, Environment Agency UK 2011), many biologists, managers, and engineers are unfamiliar with eel pass design and operation, or unaware of the technical options available for upstream eel passage,  Better coordination is needed to account for eel passage requirements during restoration efforts for other diadromous fish species.  Also, appropriately siting eel passes at hydropower projects is critical, and siting can be difficult and complex due to physical restrictions in access to points of natural concentrations of eels, dynamic hydraulics of tailrace areas, and presence of significant competing flows from turbine outfalls or spill.  As a result, some constructed eel passes are sited poorly and may pass only a fraction of the number of eels attempting to pass the barrier.  When sited and constructed appropriately, however, eel passes can effectively pass thousands of individuals in a season (Appendix D).</p>\n<br/>\n<p>\ntechnologies for preventing impingement and entrainment mortality and injury of downstream migrant eels at hydropower projects are not well developed.  Traditional downstream fish passage mitigative techniques originally developed for salmonids and other species are frequently ineffective passing eels (Richkus and Dixon 2003, EPRI 2001, Bruijs and Durif 2009).  Large hydropower projects, with high project flows or intake openings that cannot be fitted with racks or screens with openings small enough to exclude eels, pose significant passage problems for this species, and turbine impingement and entrainment mortality of eels can be as high as 100%.  Spill mortality and injury may also be significant for eels, given their tendency to move during high flow events when projects typically spill large amounts of flow.  Delays in migration of eels that have difficulty locating and utilizing bypass entrances can also be significant.  Therefore, downstream passage technologies are at a much more nebulous state of development than upstream passage technologies, and require further evaluation and improvement before rigorous design guidelines can be established.</p>\n<br/>\n<p>There have been few studies conducted to evaluate effectiveness of current mitigative measures for both upstream and downstream passage of eels.  Research is needed to determine eel migratory timing, behavior, and appropriate mitigation technologies for specific sites and eel life history stages.  Both upstream and downstream eel passage structures can be difficult to evaluate in terms of performance, and examples of how evaluation and monitoring can be accomplished were reviewed at the workshop.</p>","language":"English","publisher":"Atlantic States Marine Fisheries Commission","publisherLocation":"Gloucester, MA","usgsCitation":"Haro, A.J., 2013, Proceedings of a workshop on American Eel passage technologies, iv, 32 p.","productDescription":"iv, 32 p.","numberOfPages":"38","ipdsId":"IP-049129","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":289469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283466,"type":{"id":11,"text":"Document"},"url":"https://www.asmfc.org/uploads/file/sr90AmericaEelPassageWorkshopReport_July2013.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc180e4b084059e8bfef3","contributors":{"authors":[{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":491337,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048420,"text":"70048420 - 2013 - Geologic effects on groundwater salinity and discharge into an estuary","interactions":[],"lastModifiedDate":"2018-03-05T16:17:18","indexId":"70048420","displayToPublicDate":"2013-08-01T08:40:39","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic effects on groundwater salinity and discharge into an estuary","docAbstract":"<p><span>Submarine groundwater discharge (SGD) can be an important pathway for transport of nutrients and contaminants to estuaries. A better understanding of the geologic and hydrologic controls on these fluxes is critical for their estimation and management. We examined geologic features, porewater salinity, and SGD rates and patterns at an estuarine study site. Seismic data showed the existence of paleovalleys infilled with estuarine mud and peat that extend hundreds of meters offshore. A low-salinity groundwater plume beneath this low-permeability fill was mapped with continuous resistivity profiling. Extensive direct SGD measurements with seepage meters (</span><i>n</i><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>551) showed fresh groundwater discharge patterns that correlated well with shallow porewater salinity and the hydrogeophysical framework. Small-scale variability in fresh and saline discharge indicates influence of meter-scale geologic heterogeneity, while site-scale discharge patterns are evidence of the influence of the paleovalley feature. Beneath the paleovalley fill, fresh groundwater flows offshore and mixes with saltwater before discharging along paleovalley flanks. On the adjacent drowned interfluve where low-permeability fill is absent, fresh groundwater discharge is focused at the shoreline. Shallow saltwater exchange was greatest across sandy sediments and where fresh SGD was low. The geologic control of groundwater flowpaths and discharge salinity demonstrated in this work are likely to affect geochemical reactions and the chemical loads delivered by SGD to coastal surface waters. Because similar processes are likely to exist in other estuaries where drowned paleovalleys commonly cross modern shorelines, the existence and implications of complex hydrogeology are important considerations for studies of groundwater fluxes and related management decisions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.05.049","usgsCitation":"Russonielloa, C.J., Fernandeza, C., Bratton, J.F., Banaszakc, J.F., Krantzc, D.E., Andresd, S., Konikow, L.F., and Michaela, H.A., 2013, Geologic effects on groundwater salinity and discharge into an estuary: Journal of Hydrology, v. 498, p. 1-12, https://doi.org/10.1016/j.jhydrol.2013.05.049.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-044951","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Indian River Bay","volume":"498","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5246e918e4b035b7f35addd0","contributors":{"authors":[{"text":"Russonielloa, Christopher J.","contributorId":92963,"corporation":false,"usgs":true,"family":"Russonielloa","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandeza, Cristina","contributorId":94963,"corporation":false,"usgs":true,"family":"Fernandeza","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":484576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bratton, John F. 0000-0003-0376-4981 jbratton@usgs.gov","orcid":"https://orcid.org/0000-0003-0376-4981","contributorId":92757,"corporation":false,"usgs":true,"family":"Bratton","given":"John","email":"jbratton@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banaszakc, Joel F.","contributorId":102369,"corporation":false,"usgs":true,"family":"Banaszakc","given":"Joel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krantzc, David E.","contributorId":84259,"corporation":false,"usgs":true,"family":"Krantzc","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andresd, Scott","contributorId":97413,"corporation":false,"usgs":true,"family":"Andresd","given":"Scott","email":"","affiliations":[],"preferred":false,"id":484577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michaela, Holly A.","contributorId":57357,"corporation":false,"usgs":true,"family":"Michaela","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484572,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047986,"text":"70047986 - 2013 - Sex difference in polychlorinated biphenyl concentrations of burbot <i>Lota lota</i> from Lake Erie","interactions":[],"lastModifiedDate":"2013-10-30T14:18:54","indexId":"70047986","displayToPublicDate":"2013-08-01T08:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Sex difference in polychlorinated biphenyl concentrations of burbot <i>Lota lota</i> from Lake Erie","docAbstract":"Whole-fish polychlorinated biphenyl (PCB) concentrations were determined for 25 female and 25 male burbot <i>Lota lota</i> from Lake Erie. Bioenergetics modeling was used to investigate whether the sex difference in growth rate resulted in a difference in gross growth efficiency (GGE) between the sexes. For ages 6–13 years, male burbot averaged 28 % greater PCB concentrations than female burbot. The sex difference in PCB concentrations widened for ages 14–17 years, with male burbot having, on average, 71 % greater PCB concentrations than female burbot. Bioenergetics modeling results showed that the faster growth rate exhibited by female burbot did not lead to greater GGE in female individuals of the younger burbot and that the faster growth by female fish led to female GGE being only 2 % greater than male GGE in older burbot. Although our bioenergetics modeling could not explain the observed sex difference in PCB concentrations, we concluded that a sex difference in GGE was the most plausible explanation for the sex difference in PCB concentrations of burbot ages 6–13 years. Not only are male fish likely to be more active than female fish, but the resting metabolic rate of male fish may be greater than that of female fish. We also concluded that the widening of the sex difference in PCB concentrations for the older burbot may be due to many of the older male burbot spending a substantial amount of time in the vicinity of mouths of rivers contaminated with PCBs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00244-013-9901-9","usgsCitation":"Madenjian, C., Stapanian, M., Rediske, R., and O’Keefe, J.P., 2013, Sex difference in polychlorinated biphenyl concentrations of burbot <i>Lota lota</i> from Lake Erie: Archives of Environmental Contamination and Toxicology, v. 65, no. 2, p. 300-308, https://doi.org/10.1007/s00244-013-9901-9.","productDescription":"9 p.","startPage":"300","endPage":"308","ipdsId":"IP-049237","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":277303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277302,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-013-9901-9"}],"country":"United States","state":"New York;Ohio;Pennsylvania","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,41.11 ], [ -81,42.15 ], [ -78.13,42.15 ], [ -78.13,41.11 ], [ -81,41.11 ] ] ] } } ] }","volume":"65","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-17","publicationStatus":"PW","scienceBaseUri":"5229a7e8e4b0f33a3916778a","contributors":{"authors":[{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":483510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":483511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rediske, R.R.","contributorId":47148,"corporation":false,"usgs":true,"family":"Rediske","given":"R.R.","affiliations":[],"preferred":false,"id":483508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Keefe, J. P.","contributorId":52478,"corporation":false,"usgs":true,"family":"O’Keefe","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":483509,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047485,"text":"70047485 - 2013 - Foraging habitat for shorebirds in southeastern Missouri and its predicted future availability","interactions":[],"lastModifiedDate":"2013-10-30T13:34:09","indexId":"70047485","displayToPublicDate":"2013-08-01T07:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Foraging habitat for shorebirds in southeastern Missouri and its predicted future availability","docAbstract":"Water management to protect agriculture in alluvial floodplains often conflicts with wildlife use of seasonal floodwater. Such is the case along the Mississippi River in southeastern Missouri where migrating shorebirds forage in shallow-flooded fields. I estimated the current availability of habitat for foraging shorebirds within the New Madrid and St. Johns Basins based on daily river elevations (1943–2009), under assumptions that shorebirds forage in open habitat with water depth <15 cm and use mudflats for 3 days after exposure. The area of shorebird foraging habitat, based on replicated 50-year random samples, averaged 975 ha per day during spring and 33 ha per day during fall. Adjustments to account for habitat quality associated with different water depths, duration of mudflat exposure, intra-seasonal availability, and state of agricultural crops, indicated the equivalent of 494 ha daily of optimal habitat during spring and 11 ha during fall. Proposed levees and pumps to protect cropland would reduce shorebird foraging habitat by 80 %: to 211 ha (108 optimal ha) per day during spring and 9 ha (<3 optimal ha) per day during fall. Alternative water management that allows natural flooding below a prescribed elevation would retain nearly all existing shorebird foraging habitat during fall and about 60 % of extant habitat during spring.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0422-0","usgsCitation":"Twedt, D.J., 2013, Foraging habitat for shorebirds in southeastern Missouri and its predicted future availability: Wetlands, v. 33, no. 4, p. 667-678, https://doi.org/10.1007/s13157-013-0422-0.","productDescription":"12 p.","startPage":"667","endPage":"678","ipdsId":"IP-032409","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":276188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276175,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0422-0"},{"id":276176,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s13157-013-0422-0"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-27","publicationStatus":"PW","scienceBaseUri":"5203a377e4b02bdb1bc63f94","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":482168,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70058716,"text":"70058716 - 2013 - Wind River watershed restoration. Annual report. November 2011 through October 2012","interactions":[],"lastModifiedDate":"2016-05-17T08:51:18","indexId":"70058716","displayToPublicDate":"2013-08-01T02:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Wind River watershed restoration. Annual report. November 2011 through October 2012","docAbstract":"<h1>Introduction</h1>\n<p>This report summarizes work by U.S. Geological Survey&rsquo;s Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin, from November 2011 through October 2012. Funding was provided by Bonneville Power Administration (BPA) under contract 55275. The primary focus of USGS activities during this time was tagging of parr steelhead <i>Oncorhynchus mykiss</i> with Passive Integrated Transponder (PIT) tags, and establishing a network of instream PIT tag interrogation systems (PTIS). The PIT-tagged parr steelhead will provide movement and life history data through recapture events and detections at instream PTIS systems, will contribute to estimates of adult steelhead returning to the Wind River, and aid in the evaluation of the removal of Hemlock Dam on Trout Creek steelhead populations.</p>\n<p><span>The Wind River Watershed project (BPA Project Number 1998-019-00) is a collaborative effort to restore wild steelhead in the Wind River, WA. The four partner agencies are the U.S. Forest Service (USFS), Washington Department of Fish and Wildlife (WDFW), USGS-CRRL, and Underwood Conservation District (UCD). This partnership was established in the early 1990s with support from BPA, and has continued to conduct extensive habitat, research, monitoring, and coordination activities across the subbasin. The project works at multiple levels to identify and characterize key limiting habitat factors in the Wind River; restore degraded habitats and watershed processes; document fish populations, life histories, and interactions; investigate efficacy of restoration actions; and to share information across agency and non-agency boundaries. Long-term research in the Wind River has focused on assessments of steelhead/rainbow trout populations, relationships with introduced populations of spring Chinook salmon <i>O. tshawytscha</i> and brook trout <i>Salvelinus fontinalis</i>, and effects of habitat variables and habitat restoration on fish productivity. </span></p>\n<p><span>During the period covered by this report, we PIT tagged steelhead parr in headwater sections of the subbasin (Figure 1), maintained a PTIS in Trout Creek, installed a PTIS in the Wind River, and installed smaller scale PTISs in Trapper Creek, Paradise Creek, and the Wind River upstream of Paradise Creek (Figure 2). Additionally we maintained thermologgers to collect water temperature data near the PIT tagging sites.&nbsp;</span></p>\n<p>A statement of work (SOW) was submitted to BPA in October 2011 that outlined work to be performed by USGS-CRRL. The SOW was organized by Work Element (WE), with each describing a research task. This report summarizes the progress completed under each WE.</p>","language":"English","publisher":"Bonneville Power Administration","collaboration":"BPA Project Number: 1998-019-00. Report covers work performed under BPA contract number: 55275. Report was completed under BPA contract number: 59821.","usgsCitation":"Jezorek, I.G., and Connolly, P., 2013, Wind River watershed restoration. Annual report. November 2011 through October 2012, 40 p.","productDescription":"40 p.","numberOfPages":"41","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-11-01","temporalEnd":"2012-10-31","ipdsId":"IP-045885","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":287615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280261,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P133526","text":"Report","size":"648.14 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.982107,45.715023 ], [ -121.982107,45.88214 ], [ -121.787086,45.88214 ], [ -121.787086,45.715023 ], [ -121.982107,45.715023 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b408e4b09e18fc023ad9","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487296,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176403,"text":"70176403 - 2013 - Slab tears and intermediate-depth seismicity","interactions":[],"lastModifiedDate":"2016-09-13T09:53:44","indexId":"70176403","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","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":"Slab tears and intermediate-depth seismicity","docAbstract":"<p><span>Active tectonic regions where plate boundaries transition from subduction to strike slip can take several forms, such as triple junctions, acute, and obtuse corners. Well-documented slab tears that are associated with high rates of intermediate-depth seismicity are considered here: Gibraltar arc, the southern and northern ends of the Lesser Antilles arc, and the northern end of Tonga trench. Seismicity at each of these locations occurs, at times, in the form of swarms or clusters, and various authors have proposed that each marks an active locus of tear propagation. The swarms and clusters start at the top of the slab below the asthenospheric wedge and extend 30–60 km vertically downward within the slab. We propose that these swarms and clusters are generated by fluid-related embrittlement of mantle rocks. Focal mechanisms of these swarms generally fit the shear motion that is thought to be associated with the tearing process.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/grl.50830","usgsCitation":"Meighan, H.E., ten Brink, U., and Pulliam, J., 2013, Slab tears and intermediate-depth seismicity: Geophysical Research Letters, v. 40, no. 16, p. 4244-4248, https://doi.org/10.1002/grl.50830.","productDescription":"5 p.","startPage":"4244","endPage":"4248","ipdsId":"IP-050846","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50830","text":"Publisher Index Page"},{"id":328592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"16","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"57d92343e4b090824ffa1b35","contributors":{"authors":[{"text":"Meighan, Hallie E.","contributorId":76208,"corporation":false,"usgs":true,"family":"Meighan","given":"Hallie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":648612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulliam, Jay","contributorId":105621,"corporation":false,"usgs":true,"family":"Pulliam","given":"Jay","email":"","affiliations":[],"preferred":false,"id":648613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147410,"text":"70147410 - 2013 - The uses and limitations of the square‐root‐impedance method for computing site amplification","interactions":[],"lastModifiedDate":"2015-05-01T11:54:29","indexId":"70147410","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The uses and limitations of the square‐root‐impedance method for computing site amplification","docAbstract":"<p><span>The square‐root‐impedance (SRI) method is a fast way of computing approximate site amplification that does not depend on the details from velocity models. The SRI method underestimates the peak response of models with large impedance contrasts near their base, but the amplifications for those models is often close to or equal to the root mean square of the theoretical full resonant (FR) response of the higher modes. On the other hand, for velocity models made up of gradients, with no significant impedance changes across small ranges of depth, the SRI method systematically underestimates the theoretical FR response over a wide frequency range. For commonly used gradient models for generic rock sites, the SRI method underestimates the FR response by about 20%&ndash;30%. Notwithstanding the persistent underestimation of amplifications from theoretical FR calculations, however, amplifications from the SRI method may often provide more useful estimates of amplifications than the FR method, because the SRI amplifications are not sensitive to details of the models and will not exhibit the many peaks and valleys characteristic of theoretical full resonant amplifications (jaggedness sometimes not seen in amplifications based on averages of site response from multiple recordings at a given site). The lack of sensitivity to details of the velocity models also makes the SRI method useful in comparing the response of various velocity models, in spite of any systematic underestimation of the response. The quarter‐wavelength average velocity, which is fundamental to the SRI method, is useful by itself in site characterization, and as such, is the fundamental parameter used to characterize the site response in a number of recent ground‐motion prediction equations.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120283","usgsCitation":"Boore, D., 2013, The uses and limitations of the square‐root‐impedance method for computing site amplification: Bulletin of the Seismological Society of America, v. 103, no. 4, p. 2356-2368, https://doi.org/10.1785/0120120283.","productDescription":"13 p.","startPage":"2356","endPage":"2368","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041471","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":300022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5544a3b7e4b0a658d79478d2","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545921,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173475,"text":"70173475 - 2013 - Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape","interactions":[],"lastModifiedDate":"2016-06-16T16:20:51","indexId":"70173475","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","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":"Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape","docAbstract":"<p><span>Carbonate-sandstone geology in southeastern Minnesota creates a heterogeneous landscape of springs, seeps, and sinkholes that supply groundwater into streams. Air temperatures are effective predictors of water temperature in surface-water dominated streams. However, no published work investigates the relationship between air and water temperatures in groundwater-fed streams (GWFS) across watersheds. We used simple linear regressions to examine weekly air-water temperature relationships for 40 GWFS in southeastern Minnesota. A 40-stream, composite linear regression model has a slope of 0.38, an intercept of 6.63, and&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;of 0.83. The regression models for GWFS have lower slopes and higher intercepts in comparison to surface-water dominated streams. Regression models for streams with high&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;values offer promise for use as predictive tools for future climate conditions. Climate change is expected to alter the thermal regime of groundwater-fed systems, but will do so at a slower rate than surface-water dominated systems. A regression model of intercept&nbsp;</span><i>vs</i><span>. slope can be used to identify streams for which water temperatures are more meteorologically than groundwater controlled, and thus more vulnerable to climate change. Such relationships can be used to guide restoration&nbsp;</span><i>vs</i><span>. management strategies to protect trout streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12046","usgsCitation":"Krider, L.A., Magner, J.A., Perry, J., Vondracek, B.C., and Ferrington, L.C., 2013, Air - water temperature relationships in the trout streams of southeastern Minnesota’s carbonate - sandstone landscape: Journal of the American Water Resources Association, v. 49, no. 4, p. 896-907, https://doi.org/10.1111/jawr.12046.","productDescription":"12 p.","startPage":"896","endPage":"907","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036165","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.01599121093749,\n              44.38669150215206\n            ],\n            [\n              -92.9718017578125,\n              44.35920579433503\n            ],\n            [\n              -93.1585693359375,\n              44.24126379833979\n            ],\n            [\n              -93.0706787109375,\n              43.93350594453702\n            ],\n            [\n              -92.3895263671875,\n              43.91372326852401\n            ],\n            [\n              -92.1478271484375,\n              43.69965122967144\n            ],\n            [\n              -92.0379638671875,\n              43.492782808225\n            ],\n            [\n              -91.241455078125,\n              43.492782808225\n            ],\n            [\n              -91.263427734375,\n              43.74728909225906\n            ],\n            [\n              -91.38427734374999,\n              43.96514454266273\n            ],\n            [\n              -91.6644287109375,\n              44.071800467511565\n            ],\n            [\n              -91.8841552734375,\n              44.22158376545796\n            ],\n            [\n              -91.9500732421875,\n              44.37098696297173\n            ],\n            [\n              -92.01599121093749,\n              44.38669150215206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5763cdace4b07657d19ba748","contributors":{"authors":[{"text":"Krider, Lori A.","contributorId":172050,"corporation":false,"usgs":false,"family":"Krider","given":"Lori","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magner, Joseph A.","contributorId":172051,"corporation":false,"usgs":false,"family":"Magner","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Jim","contributorId":111771,"corporation":false,"usgs":true,"family":"Perry","given":"Jim","affiliations":[],"preferred":false,"id":639452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrington, Leonard C. 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,{"id":70137541,"text":"70137541 - 2013 - Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","interactions":[],"lastModifiedDate":"2020-12-31T16:12:20.973382","indexId":"70137541","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3847,"text":"Japanese Journal of Veterinary Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (<i>Anas acuta</i>) sampled in Japan","title":"Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan","docAbstract":"<p><span>Blood samples from 105 northern pintails (<i>Anas acuta</i>) captured on Hokkaido, Japan were tested for antibodies to avian influenza virus (AIV), Japanese encephalitis virus (JEV), and West Nile virus (WNV) to assess possible involvement of this species in the spread of economically important and potentially zoonotic pathogens. Antibodies to AIV were detected in 64 of 105 samples (61%). Of the 64 positives, 95% and 81% inhibited agglutination of two different H5 AIV antigens (H5N1 and H5N9), respectively. Antibodies to JEV and WNV were detected in five (5%) and none of the samples, respectively. Results provide evidence for prior exposure of migrating northern pintails to H5 AIV which couldhave implications for viral shedding and disease occurrence. Results also provide evidence for limited involvement of this species in the transmission and spread of flaviviruses during spring migration.</span></p>","language":"English","publisher":"Graduate School of Veterinary Medicine, Hokkaido University","publisherLocation":"Sapporo, Japan","doi":"10.14943/jjvr.61.3.117","usgsCitation":"Ramey, A.M., Spackman, E., Yeh, J., Fujita, G., Konishi, K., Uchida, K., Reed, J.A., Wilcox, B.R., Brown, J.D., and Stallknecht, D.E., 2013, Antibodies to H5 subtype avian influenza virus and Japanese encephalitis virus in northern pintails (Anas acuta) sampled in Japan: Japanese Journal of Veterinary Research, v. 61, no. 3, p. 117-123, https://doi.org/10.14943/jjvr.61.3.117.","productDescription":"8 p.","startPage":"117","endPage":"123","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045726","costCenters":[{"id":117,"text":"Alaska Science Center Biology 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,{"id":70046700,"text":"cir1386 - 2013 - National assessment of geologic carbon dioxide storage resources: results","interactions":[],"lastModifiedDate":"2017-08-29T16:18:28","indexId":"cir1386","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","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":"1386","title":"National assessment of geologic carbon dioxide storage resources: results","docAbstract":"In 2012, the U.S. Geological Survey (USGS) completed an assessment of the technically accessible storage resources (<i>TA<sub>SR</sub></i>) for carbon dioxide (CO<sub>2</sub>) in geologic formations underlying the onshore and State waters area of the United States. The formations assessed are at least 3,000 feet (914 meters) below the ground surface. The <i>TA<sub>SR</sub></i> is an estimate of the CO<sub>2</sub> storage resource that may be available for CO<sub>2</sub> injection and storage that is based on present-day geologic and hydrologic knowledge of the subsurface and current engineering practices. Individual storage assessment units (SAUs) for 36 basins were defined on the basis of geologic and hydrologic characteristics outlined in the assessment methodology of Brennan and others (2010, USGS Open-File Report 2010–1127) and the subsequent methodology modification and implementation documentation of Blondes, Brennan, and others (2013, USGS Open-File Report 2013–1055). The mean national <i>TA<sub>SR</sub></i> is approximately 3,000 metric gigatons (Gt). The estimate of the <i>TA<sub>SR</sub></i> includes buoyant trapping storage resources (<i>B<sub>SR</sub></i>), where CO<sub>2</sub> can be trapped in structural or stratigraphic closures, and residual trapping storage resources, where CO<sub>2</sub> can be held in place by capillary pore pressures in areas outside of buoyant traps. The mean total national <i>B<sub>SR</sub></i> is 44 Gt. The residual storage resource consists of three injectivity classes based on reservoir permeability: residual trapping class 1 storage resource (<i>R1<sub>SR</sub></i>) represents storage in rocks with permeability greater than 1 darcy (D); residual trapping class 2 storage resource (<i>R2<sub>SR</sub></i>) represents storage in rocks with moderate permeability, defined as permeability between 1 millidarcy (mD) and 1 D; and residual trapping class 3 storage resource (<i>R3<sub>SR</sub></i>) represents storage in rocks with low permeability, defined as permeability less than 1 mD. The mean national storage resources for rocks in residual trapping classes 1, 2, and 3 are 140 Gt, 2,700 Gt, and 130 Gt, respectively. The known recovery replacement storage resource (<i>KRR<sub>SR</sub></i>) is a conservative estimate that represents only the amount of CO<sub>2</sub> at subsurface conditions that could replace the volume of known hydrocarbon production. The mean national <i>KRR<sub>SR</sub></i>, determined from production volumes rather than the geologic model of buoyant and residual traps that make up <i>TA<sub>SR</sub></i>, is 13 Gt. The estimated storage resources are dominated by residual trapping class 2, which accounts for 89 percent of the total resources. The Coastal Plains Region of the United States contains the largest storage resource of any region. Within the Coastal Plains Region, the resources from the U.S. Gulf Coast area represent 59 percent of the national CO<sub>2</sub> storage capacity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1386","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: results (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Circular 1386, ix, 41 p., https://doi.org/10.3133/cir1386.","productDescription":"ix, 41 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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,{"id":70176623,"text":"70176623 - 2013 - Disruption rates for one vulnerable soil in Organ Pipe Cactus National Monument, Arizona, USA","interactions":[],"lastModifiedDate":"2017-04-27T10:51:32","indexId":"70176623","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Disruption rates for one vulnerable soil in Organ Pipe Cactus National Monument, Arizona, USA","docAbstract":"<p><span>Rates of soil disruption from hikers and vehicle traffic are poorly known, particularly for arid landscapes. We conducted an experiment in Organ Pipe Cactus National Monument (ORPI) in western Arizona, USA, on an air-dry very fine sandy loam that is considered to be vulnerable to disruption. We created variable-pass tracks using hikers, an all-terrain vehicle (ATV), and a four-wheel drive vehicle (4WD) and measured changes in cross-track topography, penetration depth, and bulk density. Hikers (one pass&nbsp;=&nbsp;5 hikers) increased bulk density and altered penetration depth but caused minimal surface disruption up to 100 passes; a minimum of 10 passes were required to overcome surface strength of this dry soil. Both ATV and 4WD traffic significantly disrupted the soil with one pass, creating deep ruts with increasing passes that rendered the 4WD trail impassable after 20 passes. Despite considerable soil loosening (dilation), bulk density increased in the vehicle trails, and lateral displacement created berms of loosened soil. This soil type, when dry, can sustain up to 10 passes of hikers but only one vehicle pass before significant soil disruption occurs; greater disruption is expected when soils are wet. Bulk density increased logarithmically with applied pressure from hikers, ATV, and 4WD.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2013.03.016","usgsCitation":"Webb, R., Esque, T., Nussear, K.E., and Sturm, M., 2013, Disruption rates for one vulnerable soil in Organ Pipe Cactus National Monument, Arizona, USA: Journal of Arid Environments, v. 95, p. 75-83, https://doi.org/10.1016/j.jaridenv.2013.03.016.","productDescription":"9 p.","startPage":"75","endPage":"83","ipdsId":"IP-036726","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Organ Pipe Cactus National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.6043701171875,\n              31.81572994283835\n            ],\n            [\n              -112.66891479492186,\n              32.15933769278929\n            ],\n            [\n              -112.72247314453124,\n              32.15701248607008\n            ],\n            [\n              -112.72659301757812,\n              32.20350534542368\n            ],\n            [\n              -113.0877685546875,\n              32.20234331330289\n            ],\n            [\n              -113.08090209960938,\n              31.960318444098693\n            ],\n            [\n              -112.6043701171875,\n              31.81572994283835\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"95","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f1aae4b0bc0bec09feee","contributors":{"authors":[{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":649414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":138964,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":649415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sturm, Mark","contributorId":174834,"corporation":false,"usgs":false,"family":"Sturm","given":"Mark","email":"","affiliations":[],"preferred":false,"id":649417,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046701,"text":"fs20133020 - 2013 - National assessment of geologic carbon dioxide storage resources: summary","interactions":[],"lastModifiedDate":"2013-10-30T13:31:42","indexId":"fs20133020","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","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":"2013-3020","title":"National assessment of geologic carbon dioxide storage resources: summary","docAbstract":"The U.S. Geological Survey (USGS) recently completed an evaluation of the technically accessible storage resource (<i>TA<sub>SR</sub></i>) for carbon dioxide (CO<sub>2</sub>) for 36 sedimentary basins in the onshore areas and State waters of the United States. The <i>TA<sub>SR</sub></i> is an estimate of the geologic storage resource that may be available for CO<sub>2</sub> injection and storage and is based on current geologic and hydrologic knowledge of the subsurface and current engineering practices. By using a geology-based probabilistic assessment methodology, the USGS assessment team members obtained a mean estimate of approximately 3,000 metric gigatons (Gt) of subsurface CO<sub>2</sub> storage capacity that is technically accessible below onshore areas and State waters; this amount is more than 500 times the 2011 annual U.S. energy-related CO<sub>2</sub> emissions of 5.5 Gt (U.S. Energy Information Administration, 2012, http://www.eia.gov/environment/emissions/carbon/).\n<br/>\nIn 2007, the Energy Independence and Security Act (Public Law 110–140) directed the U.S. Geological Survey to conduct a national assessment of geologic storage resources for CO<sub>2</sub> in consultation with the U.S. Environmental Protection Agency, the U.S. Department of Energy, and State geological surveys. The USGS developed a methodology to estimate storage resource potential in geologic formations in the United States (Burruss and others, 2009, USGS Open-File Report (OFR) 2009–1035; Brennan and others, 2010, USGS OFR 2010–1127; Blondes, Brennan, and others, 2013, USGS OFR 2013–1055). In 2012, the USGS completed the assessment, and the results are summarized in this Fact Sheet and are provided in more detail in companion reports (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013a,b; see related reports at right).\n<br/>\nThe goal of this project was to conduct an initial assessment of storage capacity on a regional basis, and results are not intended for use in the evaluation of specific sites for potential CO<sub>2</sub> storage. The national assessment was a geology-based examination of all sedimentary basins in the onshore and State waters area of the United States that contain storage assessment units (SAUs) that could be defined according to geologic and hydrologic characteristics. Although geologic storage of CO<sub>2</sub> may be possible in some areas not assessed by the USGS, the SAUs identified in this assessment represent those areas within sedimentary basins that met the assessment criteria. A geologic description of each SAU was prepared; descriptions for SAUs in several basins are in Warwick and Corum (2012, USGS OFR 2012–1024).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133020","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: summary (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Fact Sheet 2013-3020, 6 p., https://doi.org/10.3133/fs20133020.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133020.gif"},{"id":278344,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3020/pdf/fs2013-3020_508.pdf"},{"id":274231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3020/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","edition":"Version 1: Originally posted June 2013; Version 1.1: September 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff57e4b052f2a4539887","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","contributorId":128059,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team","id":535562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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