{"pageNumber":"1346","pageRowStart":"33625","pageSize":"25","recordCount":165415,"records":[{"id":70129218,"text":"70129218 - 2014 - Watershed-scale modeling of streamflow change in incised montane meadows","interactions":[],"lastModifiedDate":"2014-10-21T09:59:29","indexId":"70129218","displayToPublicDate":"2014-03-01T09:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Watershed-scale modeling of streamflow change in incised montane meadows","docAbstract":"Land use practices have caused stream channel incision and water table decline in many montane meadows of the Western United States. Incision changes the magnitude and timing of streamflow in water supply source watersheds, a concern to resource managers and downstream water users. The hydrology of montane meadows under natural and incised conditions was investigated using watershed simulation for a range of hydrologic conditions. The results illustrate the interdependence between: watershed and meadow hydrology; bedrock and meadow aquifers; and surface and groundwater flow through the meadow for the modeled scenarios. During the wet season, stream incision resulted in less overland flow and interflow and more meadow recharge causing a net decrease in streamflow and increase in groundwater storage relative to natural meadow conditions. During the dry season, incision resulted in less meadow evapotranspiration and more groundwater discharge to the stream causing a net increase in streamflow and a decrease in groundwater storage relative to natural meadow conditions. In general, for a given meadow setting, the magnitude of change in summer streamflow and long-term change in watershed groundwater storage due to incision will depend on the combined effect of: reduced evapotranspiration in the eroded meadow; induced groundwater recharge; replenishment of dry season groundwater storage depletion in meadow and bedrock aquifers by precipitation during wet years; and groundwater storage depletion that is not replenished by precipitation during wet years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013WR014420","usgsCitation":"Essaid, H.I., and Hill, B., 2014, Watershed-scale modeling of streamflow change in incised montane meadows: Water Resources Research, v. 50, no. 3, p. 2657-2678, https://doi.org/10.1002/2013WR014420.","productDescription":"22 p.","startPage":"2657","endPage":"2678","numberOfPages":"22","ipdsId":"IP-052739","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295482,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR014420"}],"country":"United States","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-25","publicationStatus":"PW","scienceBaseUri":"544775d6e4b0f888a81b835c","contributors":{"authors":[{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Barry R.","contributorId":62158,"corporation":false,"usgs":true,"family":"Hill","given":"Barry R.","affiliations":[],"preferred":false,"id":503553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102893,"text":"70102893 - 2014 - Statistical evaluation of variables affecting occurrence of hydrocarbons in aquifers used for public supply, California","interactions":[],"lastModifiedDate":"2018-06-08T14:21:34","indexId":"70102893","displayToPublicDate":"2014-03-01T09:23:10","publicationYear":"2014","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":"Statistical evaluation of variables affecting occurrence of hydrocarbons in aquifers used for public supply, California","docAbstract":"The variables affecting the occurrence of hydrocarbons in aquifers used for public supply in California were assessed based on statistical evaluation of three large statewide datasets; gasoline oxygenates also were analyzed for comparison with hydrocarbons. Benzene is the most frequently detected (1.7%) compound among 17 hydrocarbons analyzed at generally low concentrations (median detected concentration 0.024 μg/l) in groundwater used for public supply in California; methyl tert-butyl ether (MTBE) is the most frequently detected (5.8%) compound among seven oxygenates analyzed (median detected concentration 0.1 μg/l). At aquifer depths used for public supply, hydrocarbons and MTBE rarely co-occur and are generally related to different variables; in shallower groundwater, co-occurrence is more frequent and there are similar relations to the density or proximity of potential sources. Benzene concentrations are most strongly correlated with reducing conditions, regardless of groundwater age and depth. Multiple lines of evidence indicate that benzene and other hydrocarbons detected in old, deep, and/or brackish groundwater result from geogenic sources of oil and gas. However, in recently recharged (since ~1950), generally shallower groundwater, higher concentrations and detection frequencies of benzene and hydrocarbons were associated with a greater proportion of commercial land use surrounding the well, likely reflecting effects of anthropogenic sources, particularly in combination with reducing conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12129","usgsCitation":"Landon, M.K., Burton, C., Davis, T., Belitz, K., and Johnson, T., 2014, Statistical evaluation of variables affecting occurrence of hydrocarbons in aquifers used for public supply, California: Journal of the American Water Resources Association, v. 50, no. 1, p. 179-195, https://doi.org/10.1111/jawr.12129.","productDescription":"17 p.","startPage":"179","endPage":"195","ipdsId":"IP-028405","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286619,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12129"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-08","publicationStatus":"PW","scienceBaseUri":"535f7874e4b078dca33ae384","contributors":{"authors":[{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Carmen A. 0000-0002-6381-8833","orcid":"https://orcid.org/0000-0002-6381-8833","contributorId":41793,"corporation":false,"usgs":true,"family":"Burton","given":"Carmen A.","affiliations":[],"preferred":false,"id":493079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Tracy A. 0000-0003-0253-6661","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":59339,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy A.","affiliations":[],"preferred":false,"id":493080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":493078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":64366,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[],"preferred":false,"id":493081,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118246,"text":"70118246 - 2014 - Predictions of barrier island berm evolution in a time-varying storm climatology","interactions":[],"lastModifiedDate":"2025-05-13T17:01:45.973428","indexId":"70118246","displayToPublicDate":"2014-03-01T09:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Predictions of barrier island berm evolution in a time-varying storm climatology","docAbstract":"Low-lying barrier islands are ubiquitous features of the world's coastlines, and the processes responsible for their formation, maintenance, and destruction are related to the evolution of smaller, superimposed features including sand dunes, beach berms, and sandbars. The barrier island and its superimposed features interact with oceanographic forces (e.g., overwash) and exchange sediment with each other and other parts of the barrier island system. These interactions are modulated by changes in storminess. An opportunity to study these interactions resulted from the placement and subsequent evolution of a 2 m high sand berm constructed along the northern Chandeleur Islands, LA. We show that observed berm length evolution is well predicted by a model that was fit to the observations by estimating two parameters describing the rate of berm length change. The model evaluates the probability and duration of berm overwash to predict episodic berm erosion. A constant berm length change rate is also predicted that persists even when there is no overwash. The analysis is extended to a 16 year time series that includes both intraannual and interannual variability of overwash events. This analysis predicts that as many as 10 or as few as 1 day of overwash conditions would be expected each year. And an increase in berm elevation from 2 m to 3.5 m above mean sea level would reduce the expected frequency of overwash events from 4 to just 0.5 event-days per year. This approach can be applied to understanding barrier island and berm evolution at other locations using past and future storm climatologies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JF002871","usgsCitation":"Plant, N.G., Flocks, J., Stockdon, H.F., Long, J.W., Guy, K.K., Thompson, D.M., Cormier, J.M., Smith, C.G., Miselis, J.L., and Dalyander, P., 2014, Predictions of barrier island berm evolution in a time-varying storm climatology: Journal of Geophysical Research F: Earth Surface, v. 119, no. 2, p. 300-316, https://doi.org/10.1002/2013JF002871.","productDescription":"17 p.","startPage":"300","endPage":"316","numberOfPages":"17","ipdsId":"IP-046052","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":291085,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JF002871"},{"id":291089,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":473145,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jf002871","text":"Publisher Index Page"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.350941,29.526037 ], [ -89.350941,30.145491 ], [ -88.326465,30.145491 ], [ -88.326465,29.526037 ], [ -89.350941,29.526037 ] ] ] } } ] }","volume":"119","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-19","publicationStatus":"PW","scienceBaseUri":"57f7f143e4b0bc0bec09fc88","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":496552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":496556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guy, Kristy K. kguy@usgs.gov","contributorId":3546,"corporation":false,"usgs":true,"family":"Guy","given":"Kristy","email":"kguy@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":496553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496551,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cormier, Jamie M.","contributorId":54906,"corporation":false,"usgs":true,"family":"Cormier","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":496555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496550,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496554,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":496557,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70131504,"text":"70131504 - 2014 - Methods to estimate distribution and range extent of grizzly bears in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2018-03-17T17:33:08","indexId":"70131504","displayToPublicDate":"2014-03-01T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Methods to estimate distribution and range extent of grizzly bears in the Greater Yellowstone Ecosystem","docAbstract":"<p>The distribution of the Greater Yellowstone Ecosystem grizzly bear (<em>Ursus arctos</em>) population has expanded into areas unoccupied since the early 20th century. Up-to-date information on the area and extent of this distribution is crucial for federal, state, and tribal wildlife and land managers to make informed decisions regarding grizzly bear management. The most recent estimate of grizzly bear distribution (2004) utilized fixed-kernel density estimators to describe distribution. This method was complex and computationally time consuming and excluded observations of unmarked bears. Our objective was to develop a technique to estimate grizzly bear distribution that would allow for the use of all verified grizzly bear location data, as well as provide the simplicity to be updated more frequently. We placed all verified grizzly bear locations from all sources from 1990 to 2004 and 1990 to 2010 onto a 3-km&thinsp;&times;&thinsp;3-km grid and used zonal analysis and ordinary kriging to develop a predicted surface of grizzly bear distribution. We compared the area and extent of the 2004 kriging surface with the previous 2004 effort and evaluated changes in grizzly bear distribution from 2004 to 2010. The 2004 kriging surface was 2.4% smaller than the previous fixed-kernel estimate, but more closely represented the data. Grizzly bear distribution increased 38.3% from 2004 to 2010, with most expansion in the northern and southern regions of the range. This technique can be used to provide a current estimate of grizzly bear distribution for management and conservation applications.</p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.368","usgsCitation":"Haroldson, M.A., Schwartz, C.C., Thompson, D.J., Bjornlie, D., Gunther, K.A., Cain, S.L., Tyers, D.B., Frey, K.L., and Aber, B.C., 2014, Methods to estimate distribution and range extent of grizzly bears in the Greater Yellowstone Ecosystem: Wildlife Society Bulletin, v. 38, no. 1, p. 182-187, https://doi.org/10.1002/wsb.368.","productDescription":"6 p.","startPage":"182","endPage":"187","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044551","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":499961,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e37bdcc3f366472dab22afe3097cb52b","text":"External Repository"},{"id":438772,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RLJ1E6","text":"USGS data release","linkHelpText":"Occupied Range of the Yellowstone Grizzly Bear 2008-2022"},{"id":438771,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J6L48","text":"USGS data release","linkHelpText":"Occupied Range of the Yellowstone Grizzly Bear 2006-2020"},{"id":296027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-08","publicationStatus":"PW","scienceBaseUri":"5465d633e4b04d4b7dbd6607","contributors":{"authors":[{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":521357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Daniel J.","contributorId":149795,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":5116,"text":"Large Carnivore Section, Wyoming Game & Fish Department, 260 Buena Vista, Lander, WY 82520, USA","active":true,"usgs":false}],"preferred":false,"id":521361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjornlie, Daniel D.","contributorId":145512,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel D.","affiliations":[{"id":16140,"text":"Wyoming Game & Fish Department, Large Carnivore Section, Lander, Wyoming 82520, USA","active":true,"usgs":false}],"preferred":false,"id":521360,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gunther, Kerry A.","contributorId":190246,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5130,"text":"Bear Management Office, Yellowstone National Park, WY 82190, USA","active":true,"usgs":false}],"preferred":false,"id":521362,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cain, Steven L.","contributorId":145511,"corporation":false,"usgs":false,"family":"Cain","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":16139,"text":"National Park Service, Grand Teton National Park, Moose, Wyoming 83012, USA","active":true,"usgs":false}],"preferred":false,"id":521363,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tyers, Daniel B.","contributorId":124587,"corporation":false,"usgs":false,"family":"Tyers","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":5129,"text":"U.S. Forest Service, 2327 University Way, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":521359,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Frey, Kevin L.","contributorId":124580,"corporation":false,"usgs":false,"family":"Frey","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":5125,"text":"Montana Fish Wildlife and Parks, Bear Management Office, 1400 South 19th Avenue, Bozeman, MT 59718","active":true,"usgs":false}],"preferred":false,"id":525131,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Aber, Bryan C.","contributorId":124581,"corporation":false,"usgs":false,"family":"Aber","given":"Bryan","email":"","middleInitial":"C.","affiliations":[{"id":5126,"text":"Idaho Department of Fish and Game, 3726 Highway 20, Island Park, ID 83429","active":true,"usgs":false}],"preferred":false,"id":525132,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70096614,"text":"70096614 - 2014 - Rapid earthquake characterization using MEMS accelerometers and volunteer hosts following the M 7.2 Darfield, New Zealand, Earthquake","interactions":[],"lastModifiedDate":"2019-07-17T16:25:56","indexId":"70096614","displayToPublicDate":"2014-03-01T09:14:01","publicationYear":"2014","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":"Rapid earthquake characterization using MEMS accelerometers and volunteer hosts following the M 7.2 Darfield, New Zealand, Earthquake","docAbstract":"We test the feasibility of rapidly detecting and characterizing earthquakes with the Quake‐Catcher Network (QCN) that connects low‐cost microelectromechanical systems accelerometers to a network of volunteer‐owned, Internet‐connected computers. Following the 3 September 2010 M 7.2 Darfield, New Zealand, earthquake we installed over 180 QCN sensors in the Christchurch region to record the aftershock sequence. The sensors are monitored continuously by the host computer and send trigger reports to the central server. The central server correlates incoming triggers to detect when an earthquake has occurred. The location and magnitude are then rapidly estimated from a minimal set of received ground‐motion parameters. Full seismic time series are typically not retrieved for tens of minutes or even hours after an event. We benchmark the QCN real‐time detection performance against the GNS Science GeoNet earthquake catalog. Under normal network operations, QCN detects and characterizes earthquakes within 9.1 s of the earthquake rupture and determines the magnitude within 1 magnitude unit of that reported in the GNS catalog for 90% of the detections.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120196","usgsCitation":"Lawrence, J.F., Cochran, E., Chung, A., Kaiser, A., Christensen, C.M., Allen, R., Baker, J., Fry, B., Heaton, T., Kilb, D., Kohler, M., and Taufer, M., 2014, Rapid earthquake characterization using MEMS accelerometers and volunteer hosts following the M 7.2 Darfield, New Zealand, Earthquake: Bulletin of the Seismological Society of America, v. 104, no. 1, p. 184-192, https://doi.org/10.1785/0120120196.","productDescription":"9 p.","startPage":"184","endPage":"192","ipdsId":"IP-048916","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473146,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20140306-103803406","text":"External Repository"},{"id":283970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120196"},{"id":284000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","city":"Darfield","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 171.98,-43.55 ], [ 171.98,-43.41 ], [ 172.19,-43.41 ], [ 172.19,-43.55 ], [ 171.98,-43.55 ] ] ] } } ] }","volume":"104","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-07","publicationStatus":"PW","scienceBaseUri":"5351705ee4b05569d805a385","contributors":{"authors":[{"text":"Lawrence, J. F.","contributorId":14224,"corporation":false,"usgs":false,"family":"Lawrence","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":491513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, E.S.","contributorId":74561,"corporation":false,"usgs":true,"family":"Cochran","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":491520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, A.","contributorId":32820,"corporation":false,"usgs":true,"family":"Chung","given":"A.","affiliations":[],"preferred":false,"id":491514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaiser, A.","contributorId":90424,"corporation":false,"usgs":true,"family":"Kaiser","given":"A.","email":"","affiliations":[],"preferred":false,"id":491521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, C. M.","contributorId":71094,"corporation":false,"usgs":false,"family":"Christensen","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":491519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, R.","contributorId":7990,"corporation":false,"usgs":true,"family":"Allen","given":"R.","affiliations":[],"preferred":false,"id":491512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, J.W.","contributorId":46525,"corporation":false,"usgs":true,"family":"Baker","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":491515,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fry, B.","contributorId":52694,"corporation":false,"usgs":true,"family":"Fry","given":"B.","email":"","affiliations":[],"preferred":false,"id":491517,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heaton, T.","contributorId":107862,"corporation":false,"usgs":true,"family":"Heaton","given":"T.","affiliations":[],"preferred":false,"id":491523,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kilb, Debi","contributorId":90892,"corporation":false,"usgs":true,"family":"Kilb","given":"Debi","affiliations":[],"preferred":false,"id":491522,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kohler, M.D.","contributorId":47399,"corporation":false,"usgs":true,"family":"Kohler","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":491516,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Taufer, M.","contributorId":56862,"corporation":false,"usgs":true,"family":"Taufer","given":"M.","email":"","affiliations":[],"preferred":false,"id":491518,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70074264,"text":"70074264 - 2014 - Seismological analyses of the 2010 March 11, Pichilemu, Chile Mw 7.0 and Mw 6.9 coastal intraplate earthquakes","interactions":[],"lastModifiedDate":"2014-03-04T16:23:23","indexId":"70074264","displayToPublicDate":"2014-03-01T09:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Seismological analyses of the 2010 March 11, Pichilemu, Chile Mw 7.0 and Mw 6.9 coastal intraplate earthquakes","docAbstract":"On 2010 March 11, a sequence of large, shallow continental crust earthquakes shook central Chile. Two normal faulting events with magnitudes around M<sub>w</sub> 7.0 and M<sub>w</sub> 6.9 occurred just 15 min apart, located near the town of Pichilemu. These kinds of large intraplate, inland crustal earthquakes are rare above the Chilean subduction zone, and it is important to better understand their relationship with the 2010 February 27, M<sub>w</sub> 8.8, Maule earthquake, which ruptured the adjacent megathrust plate boundary. We present a broad seismological analysis of these earthquakes by using both teleseismic and regional data. We compute seismic moment tensors for both events via a W-phase inversion, and test sensitivities to various inversion parameters in order to assess the stability of the solutions. The first event, at 14 hr 39 min GMT, is well constrained, displaying a fault plane with strike of N145°E, and a preferred dip angle of 55°SW, consistent with the trend of aftershock locations and other published results. Teleseismic finite-fault inversions for this event show a large slip zone along the southern part of the fault, correlating well with the reported spatial density of aftershocks. The second earthquake (14 hr 55 min GMT) appears to have ruptured a fault branching southward from the previous ruptured fault, within the hanging wall of the first event. Modelling seismograms at regional to teleseismic distances (Δ > 10°) is quite challenging because the observed seismic wave fields of both events overlap, increasing apparent complexity for the second earthquake. We perform both point- and extended-source inversions at regional and teleseismic distances, assessing model sensitivities resulting from variations in fault orientation, dimension, and hypocentre location. Results show that the focal mechanism for the second event features a steeper dip angle and a strike rotated slightly clockwise with respect to the previous event. This kind of geological fault configuration, with secondary rupture in the hanging wall of a large normal fault, is commonly observed in extensional geological regimes. We propose that both earthquakes form part of a typical normal fault diverging splay, where the secondary fault connects to the main fault at depth. To ascertain more information on the spatial and temporal details of slip for both events, we gathered near-fault seismological and geodetic data. Through forward modelling of near-fault synthetic seismograms we build a kinematic k<sup>−2</sup> earthquake source model with spatially distributed slip on the fault that, to first-order, explains both coseismic static displacement GPS vectors and short-period seismometer observations at the closest sites. As expected, the results for the first event agree with the focal mechanism derived from teleseismic modelling, with a magnitude M<sub>w</sub> 6.97. Similarly, near-fault modelling for the second event suggests rupture along a normal fault, M<sub>w</sub> 6.90, characterized by a steeper dip angle (dip = 74°) and a strike clockwise rotated (strike = 155°) with respect to the previous event.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggt513","usgsCitation":"Ruiz, J.A., Hayes, G., Carrizo, D., Kanamori, H., Socquet, A., and Comte, D., 2014, Seismological analyses of the 2010 March 11, Pichilemu, Chile Mw 7.0 and Mw 6.9 coastal intraplate earthquakes: Geophysical Journal International, v. 196, no. 3, 21 p., https://doi.org/10.1093/gji/ggt513.","productDescription":"21 p.","ipdsId":"IP-053432","costCenters":[{"id":415,"text":"National Earthquake Information Center","active":false,"usgs":true}],"links":[{"id":473147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggt513","text":"Publisher Index Page"},{"id":283363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281636,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/gji/ggt513"}],"country":"Chile","city":"Pichilemu","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.056,-34.586 ], [ -72.056,-34.165 ], [ -71.746,-34.165 ], [ -71.746,-34.586 ], [ -72.056,-34.586 ] ] ] } } ] }","volume":"196","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"5351705fe4b05569d805a39a","contributors":{"authors":[{"text":"Ruiz, Javier A.","contributorId":39287,"corporation":false,"usgs":true,"family":"Ruiz","given":"Javier","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":489455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carrizo, Daniel","contributorId":36456,"corporation":false,"usgs":true,"family":"Carrizo","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":489456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanamori, Hiroo","contributorId":106120,"corporation":false,"usgs":true,"family":"Kanamori","given":"Hiroo","affiliations":[],"preferred":false,"id":489460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Socquet, Anne","contributorId":65764,"corporation":false,"usgs":true,"family":"Socquet","given":"Anne","email":"","affiliations":[],"preferred":false,"id":489459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comte, Diana","contributorId":40514,"corporation":false,"usgs":true,"family":"Comte","given":"Diana","email":"","affiliations":[],"preferred":false,"id":489458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70095570,"text":"70095570 - 2014 - Nitrogen deposition effects on diatom communities in lakes from three National Parks in Washington State","interactions":[],"lastModifiedDate":"2016-05-30T13:26:49","indexId":"70095570","displayToPublicDate":"2014-03-01T09:07:54","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen deposition effects on diatom communities in lakes from three National Parks in Washington State","docAbstract":"<p>The goal of this study was to document if lakes in National Parks in Washington have exceeded critical levels of nitrogen (N) deposition, as observed in other Western States. We measured atmospheric N deposition, lake water quality, and sediment diatoms at our study lakes. Water chemistry showed that our study lakes were ultra-oligotrophic with ammonia and nitrate concentrations often at or below detection limits with low specific conductance (&minus;1 year<sup>&minus;1</sup> and were variable both within and across the parks. Diatom assemblages in a single sediment core from Hoh Lake (Olympic National Park) displayed a shift to increased relative abundances of Asterionella formosa and Fragilaria tenera beginning in the 1969&ndash;1975 timeframe, whereas these species were not found at the remaining (nine) sites. These diatom species are known to be indicative of N enrichment and were used to determine an empirical critical load of N deposition, or threshold level, where changes in diatom communities were observed at Hoh Lake. However, N deposition at the remaining nine lakes does not seem to exceed a critical load at this time. At Milk Lake, also in Olympic National Park, there was some evidence that climate change might be altering diatom communities, but more research is needed to confirm this. We used modeled precipitation for Hoh Lake and annual inorganic N concentrations from a nearby National Atmospheric Deposition Program station, to calculate elevation-corrected N deposition for 1980&ndash;2009 at Hoh Lake. An exponential fit to this data was hindcasted to the 1969&ndash;1975 time period, and we estimate a critical load of 1.0 to 1.2 kg N ha<sup>&minus;1</sup> year<sup>&minus;1</sup> for wet deposition for this lake.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11270-013-1857-x","usgsCitation":"Sheibley, R.W., Enache, M., Swarzenski, P.W., Moran, P.W., and Foreman, J.R., 2014, Nitrogen deposition effects on diatom communities in lakes from three National Parks in Washington State: Water, Air, & Soil Pollution, v. 225, art1985: 23 p., https://doi.org/10.1007/s11270-013-1857-x.","productDescription":"art1985: 23 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052849","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":473148,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11270-013-1857-x","text":"Publisher Index Page"},{"id":283449,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283386,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11270-013-1857-x"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,45.55 ], [ -124.79,49.0 ], [ -116.92,49.0 ], [ -116.92,45.55 ], [ -124.79,45.55 ] ] ] } } ] }","volume":"225","noUsgsAuthors":false,"publicationDate":"2014-02-01","publicationStatus":"PW","scienceBaseUri":"574d65ece4b07e28b6684919","contributors":{"authors":[{"text":"Sheibley, Richard W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":87452,"corporation":false,"usgs":true,"family":"Sheibley","given":"Richard","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":491305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enache, Mihaela","contributorId":55743,"corporation":false,"usgs":true,"family":"Enache","given":"Mihaela","affiliations":[],"preferred":false,"id":491304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":3669,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":491303,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045860,"text":"70045860 - 2014 - Fishing for resilience","interactions":[],"lastModifiedDate":"2014-03-31T10:15:13","indexId":"70045860","displayToPublicDate":"2014-03-01T09:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Fishing for resilience","docAbstract":"Management approaches that focus on social–ecological systems—systems comprised of ecosystems, landscapes, and humans—are needed to secure the sustainability of inland recreational fisheries without jeopardizing the integrity of the underlying social and ecological components. Resilience management can be useful because it focuses on providing recreational capacity for fishermen under a variety of conditions while assuring that the social–ecological system is not pushed to a critical threshold that would result in a new, undesired system regime. Resilience management is based on a system perspective that accounts for the possible regimes a system could manifest. It aims to enhance system properties that allow continued maintenance of the system in a desired regime in which multiple goods and services, including recreational capacity, are provided. In this forum paper, we provide an overview of the potential of a resilience approach to the management of recreational fisheries and highlight the scientific and administrative challenges to its successful implementation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880735","usgsCitation":"Pope, K.L., Allen, C.R., and Angeler, D., 2014, Fishing for resilience: Transactions of the American Fisheries Society, v. 143, no. 2, p. 467-478, https://doi.org/10.1080/00028487.2014.880735.","productDescription":"12 p.","startPage":"467","endPage":"478","numberOfPages":"12","ipdsId":"IP-039280","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":502543,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/ncfwrustaff/116","text":"External Repository"},{"id":285129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285128,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2014.880735"}],"volume":"143","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"5351703be4b05569d805a203","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":478448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":478449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099778,"text":"70099778 - 2014 - Historic and recent nesting records of Turkey Vultures in South Dakota","interactions":[],"lastModifiedDate":"2017-12-27T11:43:05","indexId":"70099778","displayToPublicDate":"2014-03-01T09:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3441,"text":"South Dakota Bird Notes","active":true,"publicationSubtype":{"id":10}},"title":"Historic and recent nesting records of Turkey Vultures in South Dakota","docAbstract":"Present-day vultures are generally classified into two distinct groups: Old World vultures and new World vultures. The two groups share morphological and behavioral characters (e.g. scavenger diet, energy-efficient soaring, mostly featherless head), but historically the two groups were considered phylogenetically distant with long and independent histories (Rich 198., Wink 1995, Zhang et al. 2012). Old World vultures occur in the family Accipitridae and are closely related to hawks and eagles. New World Vultures occur in the family Cathartidae but their taxonomic placement has been controversial. New World vultures were previously allied with storks (Ciconiidae) but were usually placed within the order Falconiformes. Recent phylogenomic analyses using DNA sequencing suggest that new World vultures show no affinity with storks and support placement of New World vultures with other landbirds (in the order Accipitriformes, near Accipitridae) rather than with waterbirds (Hackett et al. 2008). Old World vultures presently are confined to Europe, Asia, and Africa, and New World vultures presently occur in North and South America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"South Dakota Bird Notes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"South Dakota Bird Notes","usgsCitation":"Igl, L.D., Chepulis, B.J., and McLean, K.E., 2014, Historic and recent nesting records of Turkey Vultures in South Dakota: South Dakota Bird Notes, v. 66, no. 1, p. 8-17.","productDescription":"10 p.","startPage":"8","endPage":"17","ipdsId":"IP-053274","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":288137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288136,"type":{"id":15,"text":"Index Page"},"url":"https://connection.ebscohost.com/c/articles/95066462/historic-recent-nesting-records-turkey-vultures-south-dakota"}],"country":"United States","state":"South Dakota","county":"Butte County;Custer County;Gregory County;Harding County;Hughes County;Lincoln County;Meade County;Minnehaha County;Pennington County;Tripp County;Union County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0577,42.4797 ], [ -104.0577,45.9457 ], [ -96.4366,45.9457 ], [ -96.4366,42.4797 ], [ -104.0577,42.4797 ] ] ] } } ] }","volume":"66","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7739e4b0abf75cf2c0b0","contributors":{"authors":[{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chepulis, Brian J.","contributorId":30548,"corporation":false,"usgs":true,"family":"Chepulis","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLean, Kyle E.","contributorId":82617,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492024,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70097332,"text":"70097332 - 2014 - Estrogen and androgen receptor activities of hydraulic fracturing chemicals and surface and ground water in a drilling-dense region","interactions":[],"lastModifiedDate":"2018-09-14T15:14:16","indexId":"70097332","displayToPublicDate":"2014-03-01T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1504,"text":"Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Estrogen and androgen receptor activities of hydraulic fracturing chemicals and surface and ground water in a drilling-dense region","docAbstract":"The rapid rise in natural gas extraction using hydraulic fracturing increases  the potential for contamination of surface and ground water from chemicals used throughout the process. Hundreds of products containing more than 750 chemicals and components are potentially used throughout the  extraction process, including more than 100 known or suspected endocrine-disrupting chemicals. We hypothesized thataselected subset of chemicalsusedin natural gas drilling operationsandalso surface and ground water samples collected in a drilling-dense region of Garfield County, Colorado, would exhibit estrogen and androgen receptor activities. Water samples were collected, solid-phase extracted, and measured for estrogen and androgen receptor activities using reporter gene assays in human cell lines. Of the 39 unique water samples, 89%, 41%, 12%, and 46% exhibited estrogenic, antiestrogenic, androgenic, and antiandrogenic activities, respectively. Testing of a subset of natural gas drilling chemicals revealed novel antiestrogenic, novel antiandrogenic, and limited estrogenic activities. The Colorado River, the drainage basin for this region, exhibited moderate levels of estrogenic, antiestrogenic, and antiandrogenic activities, suggesting that higher localized activity at sites with known natural gas–related spills surrounding the river might be contributing to the multiple \nreceptor activities observed in this water source. The majority of water samples collected from sites in a drilling-dense region of Colorado exhibited more estrogenic, antiestrogenic, or antiandrogenic activities than reference sites with limited nearby drilling operations. Our data suggest that natural gas drilling operationsmayresult in elevated endocrine-disrupting chemical activity in surface and ground water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Endocrinology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Endocrine Press","doi":"10.1210/en.2013-1697","usgsCitation":"Kassotis, C., Tillitt, D.E., Davis, J.W., Hormann, A.M., and Nagel, S., 2014, Estrogen and androgen receptor activities of hydraulic fracturing chemicals and surface and ground water in a drilling-dense region: Endocrinology, v. 155, no. 3, p. 897-907, https://doi.org/10.1210/en.2013-1697.","productDescription":"11 p.","startPage":"897","endPage":"907","ipdsId":"IP-049070","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473149,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1210/en.2013-1697","text":"Publisher Index Page"},{"id":283996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1210/en.2013-1697"},{"id":283999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,41.0034 ], [ -102.0409,41.0034 ], [ -102.0409,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","volume":"155","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517037e4b05569d805a1ed","contributors":{"authors":[{"text":"Kassotis, Christopher D.","contributorId":26967,"corporation":false,"usgs":true,"family":"Kassotis","given":"Christopher D.","affiliations":[],"preferred":false,"id":491532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":491531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, J. Wade hdavis@usgs.gov","contributorId":94585,"corporation":false,"usgs":true,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"Wade","affiliations":[],"preferred":false,"id":491535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hormann, Anette M.","contributorId":32077,"corporation":false,"usgs":true,"family":"Hormann","given":"Anette","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagel, Susan C.","contributorId":56147,"corporation":false,"usgs":true,"family":"Nagel","given":"Susan C.","affiliations":[],"preferred":false,"id":491534,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70124549,"text":"70124549 - 2014 - Effects of wetland management on carrying capacity of diving ducks and shorebirds in a coastal estuary","interactions":[],"lastModifiedDate":"2021-04-09T18:02:06.265668","indexId":"70124549","displayToPublicDate":"2014-03-01T08:54:36","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Effects of wetland management on carrying capacity of diving ducks and shorebirds in a coastal estuary","docAbstract":"<p><span>With global loss of natural wetlands, managed wetlands increasingly support energy requirements for wintering shorebirds and waterfowl. Despite numerous studies of avian bioenergetics in freshwater systems, less is known of the energetic capacity of estuarine systems. In San Francisco Bay, managed saline ponds converted from former commercial salt evaporation ponds form part of the largest wetland restoration project on the Pacific coast of North America. A daily-ration model was applied to assess carrying capacity for diving ducks and shorebirds during four winter seasons (2007–2010) in seasonal and circulation ponds, each in two salinity classes. Diving ducks comprised an estimated 35,450 ± 1,559 (</span><a rel=\"noopener\" href=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/fi01_52.gif\" target=\"_blank\" data-mce-href=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/fi01_52.gif\"><img src=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/WebImages/fi01_52.gif\" alt=\"fi01_52.gif\" data-mce-src=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/WebImages/fi01_52.gif\"></a><span>&nbsp;± SE) in average years and 45,458 ± 1,653 in peak years with &gt; 95% in circulation ponds. Shorebirds comprised 64,253 ± 14,838 (</span><a rel=\"noopener\" href=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/fi01_52.gif\" target=\"_blank\" data-mce-href=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/fi01_52.gif\"><img src=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/WebImages/fi01_52.gif\" alt=\"fi01_52.gif\" data-mce-src=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/WebImages/fi01_52.gif\"></a><span>&nbsp;± SE) in average years and 108,171 ± 4,854 in peak years with &gt; 64% in seasonal ponds. Macroinvertebrate energy density was highest in mesohaline (5–30 ppt) circulation ponds and lowest in seasonal ponds for both guilds. Energy requirements for diving ducks in mesohaline followed by low-hyperhaline (30–80 ppt) circulation ponds were mostly met by available prey energy. Available energy for shorebirds was substantially less than they required in seasonal ponds but exceeded their needs in mesohaline circulation ponds. Mesohaline circulation ponds supported 9,443 ± 1,649 (</span><a rel=\"noopener\" href=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/fi01_52.gif\" target=\"_blank\" data-mce-href=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/fi01_52.gif\"><img src=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/WebImages/fi01_52.gif\" alt=\"fi01_52.gif\" data-mce-src=\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/WebImages/fi01_52.gif\"></a><span>&nbsp;± SE) shorebird use-days·ha</span><sup>-1</sup><span>&nbsp;of accessible habitat and 2,297 ± 402 diving duck use-days·ha</span><sup>-1</sup><span>&nbsp;of accessible habitat, twice the capacity of low-hyperhaline circulation ponds and greater than five times that of seasonal ponds for both guilds. Our results indicated that reducing salinity to mesohaline levels and altering water depth to increase accessibility substantially increased energy available for these species in estuarine managed ponds.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.037.0108","usgsCitation":"Brand, L.A., Takekawa, J.Y., Shinn, J., Graham, T., Buffington, K., Gustafson, K.B., Smith, L.M., Spring, S.E., and Miles, A.K., 2014, Effects of wetland management on carrying capacity of diving ducks and shorebirds in a coastal estuary: Waterbirds, v. 37, no. 1, p. 52-67, https://doi.org/10.1675/063.037.0108.","productDescription":"16 p.","startPage":"52","endPage":"67","numberOfPages":"16","ipdsId":"IP-051533","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.22,37.42 ], [ -122.22,37.62 ], [ -121.93,37.62 ], [ -121.93,37.42 ], [ -122.22,37.42 ] ] ] } } ] }","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b1ee4b082fed288b909","contributors":{"authors":[{"text":"Brand, L. Arriana arriana_brand@usgs.gov","contributorId":4406,"corporation":false,"usgs":true,"family":"Brand","given":"L.","email":"arriana_brand@usgs.gov","middleInitial":"Arriana","affiliations":[],"preferred":true,"id":500894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shinn, Joel","contributorId":23078,"corporation":false,"usgs":true,"family":"Shinn","given":"Joel","email":"","affiliations":[],"preferred":false,"id":500897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Tanya","contributorId":28175,"corporation":false,"usgs":true,"family":"Graham","given":"Tanya","affiliations":[],"preferred":false,"id":500898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buffington, Kevin","contributorId":100757,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","affiliations":[],"preferred":false,"id":500899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gustafson, K. Benjamin 0000-0003-3530-0372 kgustafson@usgs.gov","orcid":"https://orcid.org/0000-0003-3530-0372","contributorId":5568,"corporation":false,"usgs":true,"family":"Gustafson","given":"K.","email":"kgustafson@usgs.gov","middleInitial":"Benjamin","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500896,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Lacy M. 0000-0001-6733-1080 lmsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6733-1080","contributorId":4772,"corporation":false,"usgs":true,"family":"Smith","given":"Lacy","email":"lmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500895,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spring, Sarah E. 0000-0003-1586-4875 sarah_spring@usgs.gov","orcid":"https://orcid.org/0000-0003-1586-4875","contributorId":3371,"corporation":false,"usgs":true,"family":"Spring","given":"Sarah","email":"sarah_spring@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500893,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500891,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70098977,"text":"70098977 - 2014 - Assessment of floodplain vulnerability during extreme Mississippi River flood 2011","interactions":[],"lastModifiedDate":"2014-03-20T08:56:01","indexId":"70098977","displayToPublicDate":"2014-03-01T08:49:15","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of floodplain vulnerability during extreme Mississippi River flood 2011","docAbstract":"Regional change in the variability and magnitude of flooding could be a major consequence of future global climate change. Extreme floods have the capacity to rapidly transform landscapes and expose landscape vulnerabilities through highly variable spatial patterns of inundation, erosion, and deposition. We use the historic activation of the Birds Point-New Madrid Floodway during the Mississippi and Ohio River Flooding of 2011 as a scientifically unique stress experiment to analyze indicators of floodplain vulnerability. We use pre- and postflood airborne Light Detection and Ranging data sets to locate erosional and depositional hotspots over the 540 km<sup>2</sup> agricultural Floodway. While riparian vegetation between the river and the main levee breach likely prevented widespread deposition, localized scour and deposition occurred near the levee breaches. Eroded gullies nearly 1 km in length were observed at a low ridge of a relict meander scar of the Mississippi River. Our flow modeling and spatial mapping analysis attributes this vulnerability to a combination of erodible soils, flow acceleration associated with legacy fluvial landforms, and a lack of woody vegetation to anchor soil and enhance flow resistance. Results from this study could guide future mitigation and adaptation measures in cases of extreme flooding.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es404760t","usgsCitation":"Goodwell, A.E., Zhu, Z., Dutta, D., Greenberg, J.A., Kumar, P., Garcia, M., Rhoads, B.L., Holmes, R.R., Parker, G., Berretta, D.P., and Jacobson, R.B., 2014, Assessment of floodplain vulnerability during extreme Mississippi River flood 2011: Environmental Science & Technology, v. 48, no. 5, p. 2619-2625, https://doi.org/10.1021/es404760t.","productDescription":"7 p.","startPage":"2619","endPage":"2625","ipdsId":"IP-049213","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":284301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284281,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es404760t"},{"id":284282,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/abs/10.1021/es404760t"}],"state":"Illinois","city":"Cairo","otherGeospatial":"Birds Point New Madrid (bpnm) Floodway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.2314,36.973 ], [ -89.2314,37.088 ], [ -89.139,37.088 ], [ -89.139,36.973 ], [ -89.2314,36.973 ] ] ] } } ] }","volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-02-17","publicationStatus":"PW","scienceBaseUri":"53517025e4b05569d805a166","contributors":{"authors":[{"text":"Goodwell, Allison E.","contributorId":37639,"corporation":false,"usgs":true,"family":"Goodwell","given":"Allison","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhenduo","contributorId":83828,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhenduo","affiliations":[],"preferred":false,"id":491825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutta, Debsunder","contributorId":76642,"corporation":false,"usgs":true,"family":"Dutta","given":"Debsunder","email":"","affiliations":[],"preferred":false,"id":491823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenberg, Jonathan A.","contributorId":46870,"corporation":false,"usgs":true,"family":"Greenberg","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, Praveen","contributorId":81405,"corporation":false,"usgs":true,"family":"Kumar","given":"Praveen","affiliations":[],"preferred":false,"id":491824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":491822,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rhoads, Bruce L.","contributorId":20248,"corporation":false,"usgs":true,"family":"Rhoads","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":491817,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parker, Gary","contributorId":104326,"corporation":false,"usgs":true,"family":"Parker","given":"Gary","email":"","affiliations":[],"preferred":false,"id":491826,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Berretta, David P.","contributorId":71875,"corporation":false,"usgs":true,"family":"Berretta","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":491821,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":491816,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70096756,"text":"70096756 - 2014 - A methodology for adaptable and robust ecosystem services assessment","interactions":[],"lastModifiedDate":"2014-03-14T08:49:02","indexId":"70096756","displayToPublicDate":"2014-03-01T08:46:32","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A methodology for adaptable and robust ecosystem services assessment","docAbstract":"Ecosystem Services (ES) are an established conceptual framework for attributing value to the benefits that nature provides to humans. As the promise of robust ES-driven management is put to the test, shortcomings in our ability to accurately measure, map, and value ES have surfaced. On the research side, mainstream methods for ES assessment still fall short of addressing the complex, multi-scale biophysical and socioeconomic dynamics inherent in ES provision, flow, and use. On the practitioner side, application of methods remains onerous due to data and model parameterization requirements. Further, it is increasingly clear that the dominant “one model fits all” paradigm is often ill-suited to address the diversity of real-world management situations that exist across the broad spectrum of coupled human-natural systems. This article introduces an integrated ES modeling methodology, named ARIES (ARtificial Intelligence for Ecosystem Services), which aims to introduce improvements on these fronts. To improve conceptual detail and representation of ES dynamics, it adopts a uniform conceptualization of ES that gives equal emphasis to their production, flow and use by society, while keeping model complexity low enough to enable rapid and inexpensive assessment in many contexts and for multiple services. To improve fit to diverse application contexts, the methodology is assisted by model integration technologies that allow assembly of customized models from a growing model base. By using computer learning and reasoning, model structure may be specialized for each application context without requiring costly expertise. In this article we discuss the founding principles of ARIES - both its innovative aspects for ES science and as an example of a new strategy to support more accurate decision making in diverse application contexts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0091001","usgsCitation":"Villa, F., Bagstad, K.J., Voigt, B., Johnson, G.W., Portela, R., Honzak, M., and Batker, D., 2014, A methodology for adaptable and robust ecosystem services assessment: PLoS ONE, v. 9, no. 3, e91001; 18 p., https://doi.org/10.1371/journal.pone.0091001.","productDescription":"e91001; 18 p.","ipdsId":"IP-051219","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0091001","text":"Publisher Index Page"},{"id":283998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283997,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0091001"}],"volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-13","publicationStatus":"PW","scienceBaseUri":"53516ef2e4b05569d8059f23","contributors":{"authors":[{"text":"Villa, Ferdinando","contributorId":84249,"corporation":false,"usgs":true,"family":"Villa","given":"Ferdinando","affiliations":[],"preferred":false,"id":491526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":491524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voigt, Brian","contributorId":102962,"corporation":false,"usgs":true,"family":"Voigt","given":"Brian","affiliations":[],"preferred":false,"id":491530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Gary W.","contributorId":90618,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":491527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Portela, Rosimeiry","contributorId":102791,"corporation":false,"usgs":true,"family":"Portela","given":"Rosimeiry","email":"","affiliations":[],"preferred":false,"id":491529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Honzak, Miroslav","contributorId":97815,"corporation":false,"usgs":true,"family":"Honzak","given":"Miroslav","email":"","affiliations":[],"preferred":false,"id":491528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Batker, David","contributorId":39288,"corporation":false,"usgs":true,"family":"Batker","given":"David","email":"","affiliations":[],"preferred":false,"id":491525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70102160,"text":"70102160 - 2014 - Soil-plant-microbial relations in hydrothermally altered soils of Northern California","interactions":[],"lastModifiedDate":"2018-10-11T16:43:24","indexId":"70102160","displayToPublicDate":"2014-03-01T06:41:30","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Soil-plant-microbial relations in hydrothermally altered soils of Northern California","docAbstract":"Soils developed on relict hydrothermally altered soils throughout the Western USA present unique opportunities to study the role of geology on above and belowground biotic activity and composition. Soil and vegetation samples were taken at three unaltered andesite and three hydrothermally altered (acid-sulfate) sites located in and around Lassen VolcanicNational Park in northeastern California. In addition, three different types of disturbed areas (clearcut, thinned, and pipeline) were sampled in acid-sulfate altered sites. Soils were sampled (0–15 cm) in mid-summer 2010 from both under-canopy and between-canopy areas within each of the sites. Soils were analyzed for numerous physical and chemical properties along with soil enzyme assays, C and N mineralization potential, microbial biomass-C and C-substrate utilization. Field vegetation measurements consisted of canopy cover by life form (tree, shrub, forb, and grass), tree and shrub density, and above-ground net primary productivity of the understory. Overall, parameters at the clearcut sites were more similar to the unaltered sites, while parameters at the thinned and pipeline sites were more similar to the altered sites. We employed principal components analysis (PCA) to develop two soil quality indices (SQI) to help quantify the differences among the sites: one based on the correlation between soil parameters and canopy cover, and the second based on six sub-indices. Soil quality indices developed in these systems could provide a means for monitoring and identifying key relations between the vegetation, soils, and microorganisms.","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2013.07.0298","usgsCitation":"Blecker, S., Stillings, L., DeCrappeo, N., and Ippolito, J., 2014, Soil-plant-microbial relations in hydrothermally altered soils of Northern California: Soil Science Society of America Journal, v. 78, no. 2, p. 509-519, https://doi.org/10.2136/sssaj2013.07.0298.","productDescription":"11 p.","startPage":"509","endPage":"519","ipdsId":"IP-052476","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473153,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.nwisrl.ars.usda.gov/id/eprint/1575/1/1531.pdf","text":"External Repository"},{"id":286410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-21","publicationStatus":"PW","scienceBaseUri":"53517064e4b05569d805a3c1","contributors":{"authors":[{"text":"Blecker, S.W.","contributorId":99671,"corporation":false,"usgs":true,"family":"Blecker","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":492850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, L.L.","contributorId":52229,"corporation":false,"usgs":true,"family":"Stillings","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":492847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCrappeo, N.M.","contributorId":86269,"corporation":false,"usgs":true,"family":"DeCrappeo","given":"N.M.","affiliations":[],"preferred":false,"id":492849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ippolito, J.A.","contributorId":54890,"corporation":false,"usgs":true,"family":"Ippolito","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":492848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173443,"text":"70173443 - 2014 - Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis","interactions":[],"lastModifiedDate":"2016-06-22T09:27:36","indexId":"70173443","displayToPublicDate":"2014-03-01T03:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis","docAbstract":"<p><span>Bovine tuberculosis is a bacterial disease caused by&nbsp;</span><i>Mycobacterium bovis</i><span>&nbsp;in livestock and wildlife with hosts that include Eurasian badgers (</span><i>Meles meles</i><span>), brushtail possum (</span><i>Trichosurus vulpecula</i><span>), and white-tailed deer (</span><i>Odocoileus virginianus</i><span>). Risk-assessment efforts in Michigan have been initiated on farms to minimize interactions of cattle with wildlife hosts but research on</span><i>M. bovis</i><span>&nbsp;on cattle farms has not investigated the spatial context of disease epidemiology. To incorporate spatially explicit data, initial likelihood of infection probabilities for cattle farms tested for&nbsp;</span><i>M. bovis</i><span>, prevalence of&nbsp;</span><i>M. bovis</i><span>&nbsp;in white-tailed deer, deer density, and environmental variables for each farm were modeled in a Bayesian hierarchical framework. We used geo-referenced locations of 762 cattle farms that have been tested for&nbsp;</span><i>M. bovis</i><span>, white-tailed deer prevalence, and several environmental variables that may lead to long-term survival and viability of&nbsp;</span><i>M. bovis</i><span>&nbsp;on farms and surrounding habitats (i.e., soil type, habitat type). Bayesian hierarchical analyses identified deer prevalence and proportion of sandy soil within our sampling grid as the most supported model. Analysis of cattle farms tested for&nbsp;</span><i>M. bovis</i><span>identified that for every 1% increase in sandy soil resulted in an increase in odds of infection by 4%. Our analysis revealed that the influence of prevalence of&nbsp;</span><i>M. bovis</i><span>&nbsp;in white-tailed deer was still a concern even after considerable efforts to prevent cattle interactions with white-tailed deer through on-farm mitigation and reduction in the deer population. Cattle farms test positive for&nbsp;</span><i>M. bovis</i><span>&nbsp;annually in our study area suggesting that the potential for an environmental source either on farms or in the surrounding landscape may contributing to new or re-infections with&nbsp;</span><i>M. bovis</i><span>. Our research provides an initial assessment of potential environmental factors that could be incorporated into additional modeling efforts as more knowledge of deer herd factors and cattle farm prevalence is documented.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0090925","usgsCitation":"Walter, W.D., Smith, R., Vanderklok, M., and VerCauterren, K.C., 2014, Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis: PLoS ONE, v. 9, no. 3, e90925; 8 p., https://doi.org/10.1371/journal.pone.0090925.","productDescription":"e90925; 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050890","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473156,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0090925","text":"Publisher Index 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,{"id":70168379,"text":"70168379 - 2014 - Similar resilience attributes in lakes with different management practices","interactions":[],"lastModifiedDate":"2016-02-11T13:35:48","indexId":"70168379","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Similar resilience attributes in lakes with different management practices","docAbstract":"<p><span>Liming has been used extensively in Scandinavia and elsewhere since the 1970s to counteract the negative effects of acidification. Communities in limed lakes usually return to acidified conditions once liming is discontinued, suggesting that liming is unlikely to shift acidified lakes to a state equivalent to pre-acidification conditions that requires no further management intervention. While this suggests a low resilience of limed lakes, attributes that confer resilience have not been assessed, limiting our understanding of the efficiency of costly management programs. In this study, we assessed community metrics (diversity, richness, evenness, biovolume), multivariate community structure and the relative resilience of phytoplankton in limed, acidified and circum-neutral lakes from 1997 to 2009, using multivariate time series modeling. We identified dominant temporal frequencies in the data, allowing us to track community change at distinct temporal scales. We assessed two attributes of relative resilience (cross-scale and within-scale structure) of the phytoplankton communities, based on the fluctuation frequency patterns identified. We also assessed species with stochastic temporal dynamics. Liming increased phytoplankton diversity and richness; however, multivariate community structure differed in limed relative to acidified and circum-neutral lakes. Cross-scale and within-scale attributes of resilience were similar across all lakes studied but the contribution of those species exhibiting stochastic dynamics was higher in the acidified and limed compared to circum-neutral lakes. From a resilience perspective, our results suggest that limed lakes comprise a particular condition of an acidified lake state. This explains why liming does not move acidified lakes out of a &ldquo;degraded&rdquo; basin of attraction. In addition, our study demonstrates the potential of time series modeling to assess the efficiency of restoration and management outcomes through quantification of the attributes contributing to resilience in ecosystems.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0091881","usgsCitation":"Baho, D.L., Drakare, S., Johnson, R.K., Allen, C.R., and Angeler, D., 2014, Similar resilience attributes in lakes with different management practices: PLoS ONE, v. 9, no. 3, e91881: 10 p., https://doi.org/10.1371/journal.pone.0091881.","productDescription":"e91881: 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054485","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0091881","text":"Publisher Index Page"},{"id":317958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sweden","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[22.18317,65.72374],[21.21352,65.02601],[21.36963,64.41359],[19.77888,63.60955],[17.84778,62.7494],[17.11955,61.34117],[17.83135,60.63658],[18.78772,60.08191],[17.86922,58.95377],[16.82919,58.71983],[16.44771,57.04112],[15.87979,56.1043],[14.66668,56.20089],[14.10072,55.40778],[12.94291,55.36174],[12.6251,56.30708],[11.78794,57.44182],[11.02737,58.85615],[11.46827,59.43239],[12.30037,60.11793],[12.63115,61.29357],[11.99206,61.80036],[11.93057,63.12832],[12.57994,64.06622],[13.57192,64.04911],[13.91991,64.44542],[13.55569,64.78703],[15.10841,66.19387],[16.10871,67.30246],[16.76888,68.01394],[17.72918,68.01055],[17.99387,68.56739],[19.87856,68.40719],[20.02527,69.06514],[20.64559,69.10625],[21.97853,68.61685],[23.53947,67.93601],[23.56588,66.39605],[23.90338,66.00693],[22.18317,65.72374]]]},\"properties\":{\"name\":\"Sweden\"}}]}","volume":"9","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-11","publicationStatus":"PW","scienceBaseUri":"56bdbecbe4b06458514aeee2","contributors":{"authors":[{"text":"Baho, Didier L.","contributorId":166724,"corporation":false,"usgs":false,"family":"Baho","given":"Didier","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":619958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drakare, Stina","contributorId":166738,"corporation":false,"usgs":false,"family":"Drakare","given":"Stina","email":"","affiliations":[],"preferred":false,"id":619959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":619960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":619961,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70140301,"text":"70140301 - 2014 - Effects of soil temperature and depth to ground water on first-year growth of a dryland riparian phreatophyte, <i>Glycyrrhiza lepidota</i> (American licorice)","interactions":[],"lastModifiedDate":"2015-02-06T09:52:06","indexId":"70140301","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","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":"Effects of soil temperature and depth to ground water on first-year growth of a dryland riparian phreatophyte, <i>Glycyrrhiza lepidota</i> (American licorice)","docAbstract":"<p><span>We investigated the effects of soil temperature and depth to ground water on first-year growth of a facultative floodplain phreatophyte,&nbsp;</span><i>Glycyrrhiza lepidota</i><span>, in a 2-&times;-2 factorial greenhouse experiment. We grew plants in mesocosms subirrigated with water low in dissolved oxygen, mimicking natural systems, and set depth of ground water at 63 or 100 cm and soil temperature at cold (ambient) or warm (&le;2.7&deg;C above ambient). We hypothesized the moister (63 cm) and warmer soil would be most favorable and predicted faster growth of shoots and roots and greater nitrogen-fixation (thus, less uptake of mineral nitrogen) under those conditions. Growth in height was significantly faster in the moister treatment but was not affected by soil temperature. Final biomass of shoots and of roots, total biomass of plants, and root:shoot ratio indicated a significant effect only from depth of ground water. Final levels of soil mineral-nitrogen were as predicted, with level of nitrate in the moister treatment more than twice that in the drier treatment. No effect from soil temperature on level of soil-mineral nitrogen was detected. Our results suggest that establishment of&nbsp;</span><i><i>G. lepidota</i></i><span>requires strict conditions of soil moisture, which may explain the patchy distribution of the species along southwestern dryland rivers.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/F08-JB-37.1","usgsCitation":"Andersen, D., and Nelson, S., 2014, Effects of soil temperature and depth to ground water on first-year growth of a dryland riparian phreatophyte, <i>Glycyrrhiza lepidota</i> (American licorice): Southwestern Naturalist, v. 59, no. 1, p. 56-65, https://doi.org/10.1894/F08-JB-37.1.","productDescription":"10 p.","startPage":"56","endPage":"65","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045356","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":297774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b8ae4b08de9379b33eb","contributors":{"authors":[{"text":"Andersen, Douglas C. doug_andersen@usgs.gov","contributorId":2216,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas C.","email":"doug_andersen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":539952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, S. Mark","contributorId":86710,"corporation":false,"usgs":false,"family":"Nelson","given":"S. Mark","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":539953,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70140686,"text":"70140686 - 2014 - Early to Middle Ordovician back-arc basin in the southern Appalachian Blue Ridge: characteristics, extent, and tectonic significance","interactions":[],"lastModifiedDate":"2015-02-26T15:58:02","indexId":"70140686","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Early to Middle Ordovician back-arc basin in the southern Appalachian Blue Ridge: characteristics, extent, and tectonic significance","docAbstract":"<p><span>Fault-dismembered segments of a distinctive, extensive, highly allochthonous, and tectonically significant Ordovician (ca. 480&ndash;460 Ma) basin, which contains suites of bimodal metavolcanic rocks, associated base metal deposits, and thick immature deep-water (turbiditic) metasediments, occur in parts of the southern Appalachian Talladega belt, eastern Blue Ridge, and Inner Piedmont of Alabama, Georgia, and North and South Carolina. The basin's predominantly metasedimentary strata display geochemical and isotopic evidence of a mixed provenance, including an adjacent active volcanic arc and a provenance of mica (clay)-rich sedimentary and felsic plutonic rocks consistent with Laurentian (Grenvillian) upper-crustal continental rocks and their passive-margin cover sequences. Geochemical characteristics of the subordinate intercalated bimodal metavolcanic rocks indicate formation in a suprasubduction environment, most likely a back-arc basin, whereas characteristics of metasedimentary units suggest deposition above Neoproterozoic rift and outer-margin lower Paleozoic slope and rise sediments within a marginal basin along Ordovician Laurentia's Iapetus margin. This tectonic setting indicates that southernmost Appalachian Ordovician orogenesis (Taconic orogeny) began as an extensional accretionary orogen along the outer margin of Laurentia, rather than in an exotic (non-Laurentian) arc collisional setting. B-type subduction polarity requires that the associated arc-trench system formed southeast of the palinspastic position of the back-arc basin. This scenario can explain several unique features of the southern Appalachian Taconic orogen, including: the palinspastic geographic ordering of key tectonic elements (i.e., back-arc, arc, etc.), and a lack of (1) an obducted arc sensu stricto on the Laurentian margin, (2) widespread Ordovician regional metamorphism, and (3) Taconic klippen to supply detritus to the Taconic foreland basin.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B30967.1","usgsCitation":"Tull, J., Holm-Denoma, C.S., and Barineau, C.I., 2014, Early to Middle Ordovician back-arc basin in the southern Appalachian Blue Ridge: characteristics, extent, and tectonic significance: GSA Bulletin, v. 126, no. 7-8, p. 990-1015, https://doi.org/10.1130/B30967.1.","productDescription":"26 p.","startPage":"990","endPage":"1015","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042528","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":297950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, North Carolina, South Carolina","otherGeospatial":"Appalachian Blue Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.41796875,\n              30.977609093348686\n            ],\n            [\n              -88.41796875,\n              36.5978891330702\n            ],\n            [\n              -75.76171875,\n              36.5978891330702\n            ],\n            [\n              -75.76171875,\n              30.977609093348686\n            ],\n            [\n              -88.41796875,\n              30.977609093348686\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"7-8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-20","publicationStatus":"PW","scienceBaseUri":"54dd2b83e4b08de9379b33c8","contributors":{"authors":[{"text":"Tull, James","contributorId":139193,"corporation":false,"usgs":false,"family":"Tull","given":"James","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":540295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barineau, Clinton I.","contributorId":139194,"corporation":false,"usgs":false,"family":"Barineau","given":"Clinton","email":"","middleInitial":"I.","affiliations":[{"id":12692,"text":"Columbus State University","active":true,"usgs":false}],"preferred":false,"id":540296,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143405,"text":"70143405 - 2014 - Optical sensors for water quality","interactions":[],"lastModifiedDate":"2015-03-19T09:29:10","indexId":"70143405","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2593,"text":"Lakeline","active":true,"publicationSubtype":{"id":10}},"title":"Optical sensors for water quality","docAbstract":"<p>Shifts in land use, population, and climate have altered hydrologic systems in the United States in ways that affect water quality and ecosystem function. Water diversions, detention in reservoirs, increased channelization, and changes in rainfall and snowmelt are major causes, but there are also more subtle causes such as changes in soil temperature, atmospheric deposition, and shifting vegetation patterns. The effects on water quality are complex and interconnected, and occur at timeframes of minutes (e.g., flash floods) to decades (e.g., evolving management practices).</p>\n<p>However, water-quality monitoring has historically focused on discrete samples collected weekly or monthly, and laboratory analyses that can take days or weeks to complete. Low-frequency data and delayed access hampers a timely response during events, limits the ability to identify specific causes or actions, and may result in poorly quantified effects on ecosystems and human health at local to regional scales.</p>\n<p>&nbsp;</p>\n<p>Recent advancements in commercially available in situ sensors, data platforms, and new techniques for data analysis provide an opportunity to monitor water quality in rivers, lakes, and estuaries on the time scales in which changes occur. For example, measurements that capture the variability in freshwater systems over time help to assess how shifts in seasonal runoff, changes in precipitation intensity, and increased frequencies of disturbances (such as fire and insect outbreaks) affect the storage, production, and transport of carbon and nitrogen in watersheds. Transmitting these data in real-time also provides information that can be used for early trend detection, help identify&nbsp;monitoring gaps, and provide sciencebased decision support across a range of issues related to water quality, freshwater ecosystems, and human health.</p>","language":"English","publisher":"North American Lake Management Society","usgsCitation":"Pellerin, B.A., and Bergamaschi, B., 2014, Optical sensors for water quality: Lakeline, no. Spring, p. 13-17.","productDescription":"5 p.","startPage":"13","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":298740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Spring","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550bf333e4b02e76d759cdf5","contributors":{"authors":[{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70138848,"text":"70138848 - 2014 - Homing of invasive Burmese pythons in South Florida: evidence for map and compass senses in snakes","interactions":[],"lastModifiedDate":"2015-01-23T14:17:08","indexId":"70138848","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Homing of invasive Burmese pythons in South Florida: evidence for map and compass senses in snakes","docAbstract":"<p><span>Navigational ability is a critical component of an animal's spatial ecology and may influence the invasive potential of species. Burmese pythons (</span><i>Python molurus bivittatus</i><span>) are apex predators invasive to South Florida. We tracked the movements of 12 adult Burmese pythons in Everglades National Park, six of which were translocated 21&ndash;36 km from their capture locations. Translocated snakes oriented movement homeward relative to the capture location, and five of six snakes returned to within 5 km of the original capture location. Translocated snakes moved straighter and faster than control snakes and displayed movement path structure indicative of oriented movement. This study provides evidence that Burmese pythons have navigational map and compass senses and has implications for predictions of spatial spread and impacts as well as our understanding of reptile cognitive abilities.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rsbl.2014.0040","usgsCitation":"Pittman, S.E., Hart, K.M., Cherkiss, M.S., Snow, R.W., Fujisaki, I., Mazzotti, F., and Dorcas, M.E., 2014, Homing of invasive Burmese pythons in South Florida: evidence for map and compass senses in snakes: Biology Letters, v. 10, no. 3, 4 p., https://doi.org/10.1098/rsbl.2014.0040.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043660","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473160,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rsbl.2014.0040","text":"External Repository"},{"id":297488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.13128662109375,\n              25.279470734081812\n            ],\n            [\n              -81.13128662109375,\n              26.152972606566966\n            ],\n            [\n              -80.39520263671875,\n              26.152972606566966\n            ],\n            [\n              -80.39520263671875,\n              25.279470734081812\n            ],\n            [\n              -81.13128662109375,\n              25.279470734081812\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bc6e4b08de9379b34c6","contributors":{"authors":[{"text":"Pittman, Shannon E.","contributorId":22169,"corporation":false,"usgs":false,"family":"Pittman","given":"Shannon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":539164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":539167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":539169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dorcas, Michael E.","contributorId":100515,"corporation":false,"usgs":false,"family":"Dorcas","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":12984,"text":"Department of Biology, Davidson College","active":true,"usgs":false}],"preferred":false,"id":539170,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70135240,"text":"70135240 - 2014 - Can antibrowsing defense regulate the spread of woody vegetation in arctic tundra?","interactions":[],"lastModifiedDate":"2014-12-12T12:54:11","indexId":"70135240","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Can antibrowsing defense regulate the spread of woody vegetation in arctic tundra?","docAbstract":"<p><span>Global climate warming is projected to promote the increase of woody plants, especially shrubs, in arctic tundra. Many factors may affect the extent of this increase, including browsing by mammals. We hypothesize that across the Arctic the effect of browsing will vary because of regional variation in antibrowsing chemical defense. Using birch (</span><i>Betula</i><span>) as a case study, we propose that browsing is unlikely to retard birch expansion in the region extending eastward from the Lena River in central Siberia across Beringia and the continental tundra of central and eastern Canada where the more effectively defended resin birches predominate. Browsing is more likely to retard birch expansion in tundra west of the Lena to Fennoscandia, Iceland, Greenland and South Baffin Island where the less effectively defended non-resin birches predominate. Evidence from the literature supports this hypothesis. We further suggest that the effect of warming on the supply of plant-available nitrogen will not significantly change either this pan-Arctic pattern of variation in antibrowsing defense or the resultant effect that browsing has on birch expansion in tundra. However, within central and east Beringia warming-caused increases in plant-available nitrogen combined with wildfire could initiate amplifying feedback loops that could accelerate shrubification of tundra by the more effectively defended resin birches. This accelerated shrubification of tundra by resin birch, if extensive, could reduce the food supply of caribou causing population declines. We conclude with a brief discussion of modeling methods that show promise in projecting invasion of tundra by woody plants.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0587.2013.00436.x","usgsCitation":"Bryant, J.P., Joly, K., Chapin, F.S., DeAngelis, D., and Kielland, K., 2014, Can antibrowsing defense regulate the spread of woody vegetation in arctic tundra?: Ecography, v. 37, no. 3, p. 204-211, https://doi.org/10.1111/j.1600-0587.2013.00436.x.","productDescription":"8 p.","startPage":"204","endPage":"211","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044470","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":296654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-12-16","publicationStatus":"PW","scienceBaseUri":"548c1fc8e4b0ca8c43c3695c","contributors":{"authors":[{"text":"Bryant, John P.","contributorId":39227,"corporation":false,"usgs":false,"family":"Bryant","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":526965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapin, F. Stuart III","contributorId":65632,"corporation":false,"usgs":false,"family":"Chapin","given":"F.","suffix":"III","email":"","middleInitial":"Stuart","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":127811,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":526962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kielland, Knut","contributorId":39627,"corporation":false,"usgs":true,"family":"Kielland","given":"Knut","affiliations":[],"preferred":false,"id":527111,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176597,"text":"70176597 - 2014 - Relative contribution of lipid sources to eggs of lesser scaup","interactions":[],"lastModifiedDate":"2017-07-19T15:38:20","indexId":"70176597","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Relative contribution of lipid sources to eggs of lesser scaup","docAbstract":"<p><span>Studies of how birds mobilize nutrients to eggs have traditionally considered a continuum of possible allocation strategies ranging from income breeding (rely on food sources found on the breeding grounds) to capital breeding (rely on body reserves stored prior to the breeding season). For capital breeding, stored body reserves can be acquired either on or away from the breeding grounds, but it has been difficult to quantify the relative contribution of each, precluding identification of key habitats for acquiring nutrients for clutch formation. During 2006–2009, we explored the importance of spring-staging habitats versus breeding-area habitats for egg-lipid formation in female lesser scaup </span><i>Aythya affinis</i><span> using stable carbon (δ</span><sup>13</sup><span>C) isotope analyses. Although δ</span><sup>13</sup><span>C values for abdominal lipid reserves brought to the breeding grounds overlapped those of local amphipods, we were able to quantify the importance of local plant carbohydrates (seeds of emergent wetland plants) to the production of eggs. We compared the importance of local wetland seeds (overall δ</span><sup>13</sup><span>C: −29.1 ± 0.9‰ SD) to combined lipid stores and lipids from local amphipods (overall δ</span><sup>13</sup><span>C: −23.8 ± 2.2‰). Local seeds and stored body lipids contributed equally to egg lipid formation across years but we found evidence of annual variation in their relative importance. Wetland seeds contributed 39% (SE = 10%) to egg lipid production, and the importance of this source varied by year (90% CI = 47–75% in 2006, 13–42% in 2007, 29–65% in 2008, and 7–30% in 2009). In contrast to earlier studies that suggest lesser scaup predominantly employ a capital breeding strategy, our results suggest that in some years females may attain half of their energy for clutch formation from foods on the breeding grounds.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-048X.2013.00238.x","usgsCitation":"Cutting, K.A., Hobson, K., Rotella, J.J., Warren, J.M., Takekawa, J.Y., De La Cruz, S.E., and Parker, M., 2014, Relative contribution of lipid sources to eggs of lesser scaup: Journal of Avian Biology, v. 45, no. 2, p. 197-201, https://doi.org/10.1111/j.1600-048X.2013.00238.x.","productDescription":"5 p.","startPage":"197","endPage":"201","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-11-11","publicationStatus":"PW","scienceBaseUri":"57f7efebe4b0bc0bec09f405","contributors":{"authors":[{"text":"Cutting, Kyle A.","contributorId":44479,"corporation":false,"usgs":true,"family":"Cutting","given":"Kyle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":649329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobson, Keith A.","contributorId":47306,"corporation":false,"usgs":true,"family":"Hobson","given":"Keith A.","affiliations":[],"preferred":false,"id":649330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":649331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warren, Jeffrey M.","contributorId":16297,"corporation":false,"usgs":true,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":649332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":649333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":3248,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, Michael","contributorId":174811,"corporation":false,"usgs":false,"family":"Parker","given":"Michael","affiliations":[],"preferred":false,"id":649335,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70174966,"text":"70174966 - 2014 - Can uncertainties in sea ice albedo reconcile patterns of data-model discord for the Pliocene and 20th/21st centuries?","interactions":[],"lastModifiedDate":"2016-07-25T13:37:40","indexId":"70174966","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","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":"Can uncertainties in sea ice albedo reconcile patterns of data-model discord for the Pliocene and 20th/21st centuries?","docAbstract":"<p><span>General Circulation Model simulations of the mid-Pliocene warm period (mPWP, 3.264 to 3.025 Myr ago) currently underestimate the level of warming that proxy data suggest existed at high latitudes, with discrepancies of up to 11&deg;C for sea surface temperature estimates and 17&deg;C for surface air temperature estimates. Sea ice has a strong influence on high-latitude climates, partly due to the albedo feedback. We present results demonstrating the effects of reductions in minimum sea ice albedo limits in general circulation model simulations of the mPWP. While mean annual surface air temperature increases of up to 6&deg;C are observed in the Arctic, the maximum decrease in model-data discrepancies is just 0.81&deg;C. Mean annual sea surface temperatures increase by up to 2&deg;C, with a maximum model-data discrepancy improvement of 1.31&deg;C. It is also suggested that the simulation of observed 21st century sea ice decline could be influenced by the adjustment of the sea ice albedo parameterization.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2013GL058872","usgsCitation":"Howell, F.W., Haywood, A.M., Dolan, A.M., Dowsett, H.J., Francis, J.E., Hill, D.J., Pickering, S.J., Pope, J.O., Salzmann, U., and Wade, B.S., 2014, Can uncertainties in sea ice albedo reconcile patterns of data-model discord for the Pliocene and 20th/21st centuries?: Geophysical Research Letters, v. 41, no. 6, p. 2011-2018, https://doi.org/10.1002/2013GL058872.","productDescription":"8 p.","startPage":"2011","endPage":"2018","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053899","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":473157,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/80158/1/Can%20uncertainties%20in%20sea%20ice%20albedo%20reconcile%20patterns%20of%20data-model%20discord%20for%20the%20Pliocene%20and%2020th21st%20centuries.pdf","text":"External Repository"},{"id":325603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-20","publicationStatus":"PW","scienceBaseUri":"5797382ee4b021cadec8ff15","contributors":{"authors":[{"text":"Howell, Fergus W.","contributorId":173110,"corporation":false,"usgs":false,"family":"Howell","given":"Fergus","email":"","middleInitial":"W.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":643427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haywood, Alan M.","contributorId":86663,"corporation":false,"usgs":true,"family":"Haywood","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolan, Aisling M.","contributorId":30117,"corporation":false,"usgs":true,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":643426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Francis, Jane E","contributorId":173147,"corporation":false,"usgs":false,"family":"Francis","given":"Jane","email":"","middleInitial":"E","affiliations":[{"id":25631,"text":"British Antarctic Survey","active":true,"usgs":false}],"preferred":false,"id":643430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hill, Daniel J.","contributorId":80993,"corporation":false,"usgs":true,"family":"Hill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":643431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pickering, Steven J.","contributorId":147378,"corporation":false,"usgs":false,"family":"Pickering","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":643432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pope, James O.","contributorId":173148,"corporation":false,"usgs":false,"family":"Pope","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":643433,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Salzmann, Ulrich","contributorId":173101,"corporation":false,"usgs":false,"family":"Salzmann","given":"Ulrich","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":643434,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wade, Bidget S","contributorId":173149,"corporation":false,"usgs":false,"family":"Wade","given":"Bidget","email":"","middleInitial":"S","affiliations":[{"id":6957,"text":"University College London","active":true,"usgs":false}],"preferred":false,"id":643435,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70176216,"text":"70176216 - 2014 - Geologic assessment of undiscovered oil and gas resources in Aptian carbonates, onshore northern Gulf of Mexico Basin, United States","interactions":[],"lastModifiedDate":"2016-09-01T15:40:50","indexId":"70176216","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"Geologic assessment of undiscovered oil and gas resources in Aptian carbonates, onshore northern Gulf of Mexico Basin, United States","docAbstract":"<p><span>Carbonate lithofacies of the Lower Cretaceous Sligo Formation and James Limestone were regionally evaluated using established U.S. Geological Survey (USGS) assessment methodology for undiscovered conventional hydrocarbon resources. The assessed area is within the Upper Jurassic–Cretaceous–Tertiary Composite total petroleum system, which was defined for the assessment. Hydrocarbons reservoired in carbonate platform Sligo-James oil and gas accumulations are interpreted to originate primarily from the Jurassic Smackover Formation. Emplacement of hydrocarbons occurred via vertical migration along fault systems; long-range lateral migration also may have occurred in some locations. Primary reservoir facies include porous patch reefs developed over paleostructural salt highs, carbonate shoals, and stacked linear reefs at the carbonate shelf margin. Hydrocarbon traps dominantly are combination structural-stratigraphic. Sealing lithologies include micrite, calcareous shale, and argillaceous lime mudstone. A geologic model, supported by discovery history analysis of petroleum geology data, was used to define a single regional assessment unit (AU) for conventional reservoirs in carbonate facies of the Sligo Formation and James Limestone. The AU is formally entitled Sligo-James Carbonate Platform Oil and Gas (50490121). A fully risked mean undiscovered technically recoverable resource in the AU of 50 million barrels of oil (MMBO), 791 billion cubic feet of natural gas (BCFG), and 26 million barrels of natural gas liquids was estimated. Substantial new development through horizontal drilling has occurred since the time of this assessment (2010), resulting in cumulative production of &gt;200&nbsp;BCFG and &gt;1&nbsp;MMBO.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cretres.2013.12.005","usgsCitation":"Hackley, P.C., and Karlsen, A.W., 2014, Geologic assessment of undiscovered oil and gas resources in Aptian carbonates, onshore northern Gulf of Mexico Basin, United States: Cretaceous Research, v. 48, p. 225-234, https://doi.org/10.1016/j.cretres.2013.12.005.","productDescription":"10 p.","startPage":"225","endPage":"234","ipdsId":"IP-051557","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100,\n              26\n            ],\n            [\n              -100,\n              34\n            ],\n            [\n              -88,\n              34\n            ],\n            [\n              -88,\n              26\n            ],\n            [\n              -100,\n              26\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c9512de4b0f2f0cec15be9","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlsen, Alexander W.","contributorId":105382,"corporation":false,"usgs":true,"family":"Karlsen","given":"Alexander","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":647834,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160809,"text":"70160809 - 2014 - Double-crested Cormorant studies at Little Galloo Island, Lake Ontario in 2013: Diet composition, fish consumption and the efficacy of management activities in reducing fish predation","interactions":[],"lastModifiedDate":"2020-03-05T12:27:57","indexId":"70160809","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"14","title":"Double-crested Cormorant studies at Little Galloo Island, Lake Ontario in 2013: Diet composition, fish consumption and the efficacy of management activities in reducing fish predation","docAbstract":"<p>For almost two decades Little Galloo Island (LGI) has supported a large colony of Double-crested Cormorants (<i>Phalacrocorax auritus</i>) in the eastern basin of Lake Ontario. Cormorant nest counts on the island since the early 1990's have averaged 4,297 per year. However, less than 2,000 pairs have nested on the island in three of the past five years. The highest count was reached in 1996 with 8,410 nesting pairs on the island. Johnson et al. (2013) estimated that cormorants from LGI alone have consumed 504 million fish since 1992. The proliferation of cormorants in the eastern basin of Lake Ontario coincided with declines in two important recreational fish species, smallmouth bass (<i>Micropterus dolemieu</i>) and yellow perch (<i>Perca falvescens</i>). Lantry et al. (2002) and Burnett et al. (2002) provide convincing evidence linking cormorant population increases to declining eastern basin smallmouth bass and yellow perch stocks. Decline of these fish stocks was evident only in the eastern basin, suggesting a localized problem, which is consistent with the halo effect where large piscivorous waterbird colonies may deplete local fish stocks (Birt et al. 1987). The year 2013 marked the twenty second consecutive year of study of the food habits and fish consumption of LGI cormorants and the fifteenth consecutive year evaluating the efficacy of management activities to control the reproductive success of cormorants nesting at LGI. The program consists mainly of spraying cormorant eggs with food grade vegetable oil as well as the culling of adult and immature birds. This paper reports the findings of work carried out in 2013 at LGI.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2013 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 26-27, 2014","conferenceLocation":"Windsor, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Johnson, J.H., McCullough, R., and Mazzocchi, I., 2014, Double-crested Cormorant studies at Little Galloo Island, Lake Ontario in 2013: Diet composition, fish consumption and the efficacy of management activities in reducing fish predation: NYSDEC Lake Ontario Annual Report  2013, 11 p. .","productDescription":"11 p. ","startPage":"14-1","endPage":"14-11","ipdsId":"IP-055100","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":336282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351412,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://purl.nysed.gov/nysl/889897048"}],"country":"United States","state":"New York","county":"Jefferson County","otherGeospatial":"Little Galloo Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.4015007019043,\n              43.88156238958827\n            ],\n            [\n              -76.39068603515625,\n              43.88156238958827\n            ],\n            [\n              -76.39068603515625,\n              43.89071763893143\n            ],\n            [\n              -76.4015007019043,\n              43.89071763893143\n            ],\n            [\n              -76.4015007019043,\n              43.88156238958827\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c3e4b01ccd54fddfd6","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCullough, Russ D.","contributorId":25529,"corporation":false,"usgs":false,"family":"McCullough","given":"Russ D.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":583985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzocchi, Irene","contributorId":150832,"corporation":false,"usgs":false,"family":"Mazzocchi","given":"Irene","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":583986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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