Strong fluid underpressures have been detected in Paleozoic strata in the eastern Michigan Basin, with hydraulic heads reaching ~400 m below land surface (~4 MPa underpressure) and ~200 m below sea level in strata where unusually low permeabilities (~10−20–10−23 m2) were measured in situ. Multiple glaciations, including three with as much as 3 km of ice cover at the site in the last 120 ka, suggest a causal link with the underpressures. We examined this possibility using a one-dimensional groundwater flow model incorporating mechanical loading from both ice weight and lithospheric flexure. Because hydrologic and mechanical changes during glaciation are not well characterized and subsurface properties are imperfectly known, the model was used inversely to estimate flexural loads and loosely constrained permeabilities by matching observed pressures. Acceptable matches were obtained for a surprisingly wide range of scenarios with permeabilities close to measured values and plausible flexural loads. Matches were not obtained when too many parameters were preselected, or when permeabilities were constrained to be significantly larger than measured values. In successful model runs groundwater expulsion under glacial-mechanical loads caused the underpressuring, and flexural loads were important if aquifer and sub-glacial pressures were significantly elevated during glaciation. Simulated fluid pressures in the low-permeability strata fluctuated by 30–40 MPa during glacial cycles but resulted in advective transport of only tens of meters or less. Although other mechanisms cannot be ruled out, we conclude that glacial-mechanical forcing of a water-saturated system can explain the observed underpressures.
","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1002/2014JB011643","usgsCitation":"Neuzil, C.E., and Provost, A.M., 2014, Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada: Journal of Geophysical Research B: Solid Earth, v. 119, no. 12, p. 8748-8769, https://doi.org/10.1002/2014JB011643.","productDescription":"22 p.","startPage":"8748","endPage":"8769","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060238","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011643","text":"Publisher Index Page"},{"id":297302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Eastern Michigan Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.296875,\n 40.54720023441049\n ],\n [\n -89.296875,\n 47.7097615426664\n ],\n [\n -76.9921875,\n 47.7097615426664\n ],\n [\n -76.9921875,\n 40.54720023441049\n ],\n [\n -89.296875,\n 40.54720023441049\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-14","publicationStatus":"PW","scienceBaseUri":"54dd2a87e4b08de9379b30d3","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":538611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":538612,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135681,"text":"sir20145227 - 2014 - Hydrographic survey of Chaktomuk, the confluence of the Mekong, Tonlé Sap, and Bassac Rivers near Phnom Penh, Cambodia, 2012","interactions":[],"lastModifiedDate":"2015-01-15T12:52:06","indexId":"sir20145227","displayToPublicDate":"2015-01-15T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5227","title":"Hydrographic survey of Chaktomuk, the confluence of the Mekong, Tonlé Sap, and Bassac Rivers near Phnom Penh, Cambodia, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of State, Mekong River Commission, Phnom Penh Autonomous Port, and the Cambodian Ministry of Water Resources and Meteorology, completed a hydrographic survey of Chaktomuk, which is the confluence of the Mekong, Tonlé Sap (also spelled Tônlé Sab), and Bassac Rivers near Phnom Penh, Cambodia. The hydrographic survey used a high-resolution multibeam echosounder mapping system to map the riverbed during April 21–May 2, 2012.
\nThe multibeam echosounder mapping system was made up of several components: A RESON Seabat™ 7125 multibeam echosounder, an inertial measurement unit and navigation unit, data collection computers, and a Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) base station. The survey area was divided into six survey subreaches and each subreach was surveyed within 3 days along survey lines oriented parallel to the flow direction. Complete coverage of the riverbed was the operational objective; however, to obtain broad spatial coverage, gaps between parallel swaths were permitted, especially in wide, shallow areas where multibeam swath widths were narrow.
\nThe survey was referenced to two existing bench marks with known geographic coordinates by establishing a GNSS base station on the bench marks each day and using real-time corrections from the base station to correct boat navigation data. The World Geodetic System of 1984 (WGS 84) ellipsoid was used during data collection to reference height, and data were adjusted to the local datum, Ha Tien 1960, during postprocessing.
\nThe quality of hydrographic surveys was described by an uncertainty estimate called total propagated uncertainty (TPU). Calculations of TPU were completed for the hydrographic survey data resulting in the maximum TPU of 0.33 meters. The mean and median TPUs were 0.18 meters, and 99.9 percent of TPU values were less than 0.25 meters.
\nDetailed hydrographic maps of Mekong, Tonlé Sap, and Bassac Rivers showing the riverbed elevations surveyed April 21–May 2, 2012, referenced to Ha Tien 1960 were produced. The surveyed area included a 2-km stretch of the Mekong River between the confluence with the Tonlé Sap and Bassac Rivers, and extended 4 km upstream and 3.6 km downstream from the 2,000-m confluence stretch of the Mekong River. In addition, 0.7 km of the Bassac River downstream and 3.5 km of the Tonlé Sap River (from the confluence to Chroy Changvar Bridge) upstream from their confluence with the Mekong River were surveyed. Riverbed features (such as dunes, shoals, and the effects of sediment mining, which were observed during data collection) are visible on the hydrographic maps. All surveys were completed at low annual water levels as referenced to nearby Mekong River Commission streamflow-gaging stations. Riverbed elevations surveyed ranged from 24.08 m below to 1.54 m above Ha Tien 1960.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145227","collaboration":"Prepared in cooperation with the U.S. Department of State, the Mekong River Commission, Phnom Penh Autonomous Port, and the Cambodian Ministry of Water Resources and Meteorology","usgsCitation":"Dietsch, B.J., Densmore, B.K., and Wilson, R.C., 2014, Hydrographic survey of Chaktomuk, the confluence of the Mekong, Tonlé Sap, and Bassac Rivers near Phnom Penh, Cambodia, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5227, vi, 23 p., https://doi.org/10.3133/sir20145227.","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057927","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":297297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145227.jpg"},{"id":297293,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5227/"},{"id":297294,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5227/pdf/sir2014-5227.pdf","text":"Report","size":"10.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"World Geodectic System 1984","country":"Cambodia","city":"Phnom Penh","otherGeospatial":"Bassac River, Chaktomuk, Mekong River, Tonlé Sap River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 103.64501953125,\n 10.914224006944366\n ],\n [\n 103.64501953125,\n 13.036669323115246\n ],\n [\n 105.8148193359375,\n 13.036669323115246\n ],\n [\n 105.8148193359375,\n 10.914224006944366\n ],\n [\n 103.64501953125,\n 10.914224006944366\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a86e4b08de9379b30cf","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Richard C. wilson@usgs.gov","contributorId":846,"corporation":false,"usgs":true,"family":"Wilson","given":"Richard","email":"wilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134080,"text":"sir20145219 - 2014 - Flood-inundation maps for the White River near Edwardsport, Indiana","interactions":[],"lastModifiedDate":"2015-01-14T13:40:48","indexId":"sir20145219","displayToPublicDate":"2015-01-14T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5219","title":"Flood-inundation maps for the White River near Edwardsport, Indiana","docAbstract":"Digital flood-inundation maps for a 3.3-mile reach of the White River near Edwardsport, (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 03360730, White River near Edwardsport, Ind. Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (site EDWI3.)
\nFlood profiles were computed for the White River near Edwardsport reach by means of a one-dimensional step-back-water model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03360730, White River near Edwardsport, Ind., and high-water marks from the flood of April 2013. The calibrated hydraulic model was then used to determine 19 water-surface profiles for flood stages at approximately 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each water level.
\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage 03360730 White River near Edwardsport, Ind., and forecasted stream stages from the National Weather Service, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145219","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., 2014, Flood-inundation maps for the White River near Edwardsport, Indiana: U.S. Geological Survey Scientific Investigations Report 2014-5219, Report: iv, 11 p.; Downloads Directory, https://doi.org/10.3133/sir20145219.","productDescription":"Report: iv, 11 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-025600","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":297244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145219.jpg"},{"id":297242,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5219/pdf/sir2014-5219.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297241,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5219/"},{"id":297243,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5219/downloads/gis_data","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Edwardsport","otherGeospatial":"White River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.26800918579102,\n 38.770948699444624\n ],\n [\n -87.26800918579102,\n 38.833824233697726\n ],\n [\n -87.20312118530273,\n 38.833824233697726\n ],\n [\n -87.20312118530273,\n 38.770948699444624\n ],\n [\n -87.26800918579102,\n 38.770948699444624\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a78e4b08de9379b308b","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70135268,"text":"70135268 - 2014 - White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host","interactions":[],"lastModifiedDate":"2015-01-14T10:32:47","indexId":"70135268","displayToPublicDate":"2015-01-14T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3845,"text":"BMC Physiology","active":true,"publicationSubtype":{"id":10}},"title":"White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host","docAbstract":"The physiological effects of white-nose syndrome (WNS) in hibernating bats and ultimate causes of mortality from infection with Pseudogymnoascus (formerly Geomyces) destructans are not fully understood. Increased frequency of arousal from torpor described among hibernating bats with late-stage WNS is thought to accelerate depletion of fat reserves, but the physiological mechanisms that lead to these alterations in hibernation behavior have not been elucidated. We used the doubly labeled water (DLW) method and clinical chemistry to evaluate energy use, body composition changes, and blood chemistry perturbations in hibernating little brown bats (Myotis lucifugus) experimentally infected with P. destructans to better understand the physiological processes that underlie mortality from WNS.
\nThese data indicated that fat energy utilization, as demonstrated by changes in body composition, was two-fold higher for bats with WNS compared to negative controls. These differences were apparent in early stages of infection when torpor-arousal patterns were equivalent between infected and non-infected animals, suggesting that P. destructans has complex physiological impacts on its host prior to onset of clinical signs indicative of late-stage infections. Additionally, bats with mild to moderate skin lesions associated with early-stage WNS demonstrated a chronic respiratory acidosis characterized by significantly elevated dissolved carbon dioxide, acidemia, and elevated bicarbonate. Potassium concentrations were also significantly higher among infected bats, but sodium, chloride, and other hydration parameters were equivalent to controls.
\nIntegrating these novel findings on the physiological changes that occur in early-stage WNS with those previously documented in late-stage infections, we propose a multi-stage disease progression model that mechanistically describes the pathologic and physiologic effects underlying mortality of WNS in hibernating bats. This model identifies testable hypotheses for better understanding this disease, knowledge that will be critical for defining effective disease mitigation strategies aimed at reducing morbidity and mortality that results from WNS.
","language":"English","publisher":"BioMed Central Ltd.","doi":"10.1186/s12899-014-0010-4","usgsCitation":"Verant, M.L., Meteyer, C.U., Speakman, J.R., Cryan, P.M., Lorch, J.M., and Blehert, D., 2014, White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host: BMC Physiology, v. 14, no. 10, 10 p., https://doi.org/10.1186/s12899-014-0010-4.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055615","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12899-014-0010-4","text":"Publisher Index Page"},{"id":297231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-12-09","publicationStatus":"PW","scienceBaseUri":"54dd2ad0e4b08de9379b321e","contributors":{"authors":[{"text":"Verant, Michelle L. mverant@usgs.gov","contributorId":5566,"corporation":false,"usgs":true,"family":"Verant","given":"Michelle","email":"mverant@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":527001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":127748,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":527002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Speakman, John R.","contributorId":127833,"corporation":false,"usgs":false,"family":"Speakman","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":7165,"text":"University of Aberdeen","active":true,"usgs":false}],"preferred":false,"id":527004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":527003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":527005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":127747,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":527000,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70137249,"text":"70137249 - 2014 - Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents","interactions":[],"lastModifiedDate":"2015-01-13T08:36:49","indexId":"70137249","displayToPublicDate":"2015-01-13T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents","docAbstract":"In cooperation with FHWA, the U.S. Geological Survey developed the stochastic empirical loading and dilution model (SELDM) to supersede the 1990 FHWA runoff quality model. The SELDM tool is designed to transform disparate and complex scientific data into meaningful information about the adverse risks of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such measures for reducing such risks. The SELDM tool is easy to use because much of the information and data needed to run it are embedded in the model and obtained by defining the site location and five simple basin properties. Information and data from thousands of sites across the country were compiled to facilitate the use of the SELDM tool. A case study illustrates how to use the SELDM tool for conducting the types of sensitivity analyses needed to properly assess water quality risks. For example, the use of deterministic values to model upstream stormflows instead of representative variations in prestorm flow and runoff may substantially overestimate the proportion of highway runoff in downstream flows. Also, the risks for total phosphorus excursions are substantially affected by the selected criteria and the modeling methods used. For example, if a single deterministic concentration is used rather than a stochastic population of values to model upstream concentrations, then the percentage of water quality excursions in the downstream receiving waters may depend entirely on the selected upstream concentration.
","language":"English","publisher":"Transportation Research Board of the National Academies","doi":"10.3141/2436-14","usgsCitation":"Granato, G., and Jones, S.C., 2014, Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents: Transportation Research Record, v. 2436, p. 139-147, https://doi.org/10.3141/2436-14.","productDescription":"9 p.","startPage":"139","endPage":"147","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052062","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":297148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2436","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-01","publicationStatus":"PW","scienceBaseUri":"54dd2ab8e4b08de9379b31a6","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":537567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134835,"text":"ds904 - 2014 - High-resolution digital elevation model of Mount St. Helens crater and upper North Fork Toutle River basin, Washington, based on an airborne lidar survey of September 2009","interactions":[],"lastModifiedDate":"2019-03-13T08:31:18","indexId":"ds904","displayToPublicDate":"2015-01-09T12:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"904","title":"High-resolution digital elevation model of Mount St. Helens crater and upper North Fork Toutle River basin, Washington, based on an airborne lidar survey of September 2009","docAbstract":"The lateral blast, debris avalanche, and lahars of the May 18th, 1980, eruption of Mount St. Helens, Washington, dramatically altered the surrounding landscape. Lava domes were extruded during the subsequent eruptive periods of 1980–1986 and 2004–2008. More than three decades after the emplacement of the 1980 debris avalanche, high sediment production persists in the North Fork Toutle River basin, which drains the northern flank of the volcano. Because this sediment increases the risk of flooding to downstream communities on the Toutle and Cowlitz Rivers, the U.S. Army Corps of Engineers (USACE), under the direction of Congress to maintain an authorized level of flood protection, built a sediment retention structure on the North Fork Toutle River in 1989 to help reduce this risk and to prevent sediment from clogging the shipping channel of the Columbia River. From September 16–20, 2009, Watershed Sciences, Inc., under contract to USACE, collected high-precision airborne lidar (light detection and ranging) data that cover 214 square kilometers (83 square miles) of Mount St. Helens and the upper North Fork Toutle River basin from the sediment retention structure to the volcano's crater. These data provide a digital dataset of the ground surface, including beneath forest cover. Such remotely sensed data can be used to develop sediment budgets and models of sediment erosion, transport, and deposition. The U.S. Geological Survey (USGS) used these lidar data to develop digital elevation models (DEMs) of the study area. DEMs are fundamental to monitoring natural hazards and studying volcanic landforms, fluvial and glacial geomorphology, and surface geology. Watershed Sciences, Inc., provided files in the LASer (LAS) format containing laser returns that had been filtered, classified, and georeferenced. The USGS produced a hydro-flattened DEM from ground-classified points at Castle, Coldwater, and Spirit Lakes. Final results averaged about five laser last-return points per square meter. As reported by Watershed Sciences, Inc., vertical accuracy is 10 centimeters (cm) at the 95-percent confidence interval on bare road surfaces; however, over natural terrain, USGS found vertical accuracy to be 10–50 cm. This USGS data series contains the bare-earth lidar data as 1- and 10-meter (m) resolution Esri grid files. Digital-elevation data can be downloaded (1m_DEM.zip and 10m_DEM.zip), as well as a 1-m resolution hillshade image with pyramids (1m_hillshade.zip). These geospatial data files require geographic information system (GIS) software for viewing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds904","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Mosbrucker, A.R., 2014, High-resolution digital elevation model of Mount St. Helens crater and upper North Fork Toutle River basin, Washington, based on an airborne lidar survey of September 2009: U.S. Geological Survey Data Series 904, Report: 24 p.; Readme; 1m DEM data; 10m DEM data; 1m hillshade image; Metadata, https://doi.org/10.3133/ds904.","productDescription":"Report: 24 p.; Readme; 1m DEM data; 10m DEM data; 1m hillshade image; Metadata","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050820","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":297105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds904.gif"},{"id":297098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0904/"},{"id":297099,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/0904/1_readme.txt","size":"5 kB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"Report by Watershed Sciences, Inc., under contract to USACE, on high-precision airbone lidar data collected September 16–20, 2009"},{"id":297100,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0904/downloads/ds904_delivery_report.pdf","text":"Delivery Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297103,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/1m_hillshade.zip","text":"1m hillshade","size":"211 MB","linkHelpText":"1-m resolution hillshade image with pyramids. Refer to the Readme and Metadata files for more information."},{"id":297104,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0904/FGDC_Metadata.txt","size":"211 MB","linkFileType":{"id":2,"text":"txt"}},{"id":297101,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/1m_DEM.zip","text":"1m DEM","size":"572 MB","description":"Digital-elevation data","linkHelpText":"Digital-elevation data using bare-earth lidar data as 1-m resolution Esri grid files. Refer to the Readme and Metadata files for more information."},{"id":297102,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/10m_DEM.zip","text":"10m DEM","size":"7.2 MB","description":"Digital-elevation data","linkHelpText":"Digital-elevation data using bare-earth lidar data as 10-m resolution Esri grid files. Refer to the Readme and Metadata files for more information"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens, upper North Fork Toutle River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.58132934570311,\n 46.13702492883557\n ],\n [\n -122.58132934570311,\n 46.38293856752681\n ],\n [\n -122.0855712890625,\n 46.38293856752681\n ],\n [\n -122.0855712890625,\n 46.13702492883557\n ],\n [\n -122.58132934570311,\n 46.13702492883557\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a85e4b08de9379b30c6","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":537964,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70137396,"text":"70137396 - 2014 - Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i","interactions":[],"lastModifiedDate":"2020-12-10T13:26:16.602331","indexId":"70137396","displayToPublicDate":"2015-01-08T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i","docAbstract":"Kaloko-Honokōhau National Historical Park (KAHO) is a coastal sanctuary on the western side of the Island of Hawai‘i that was established in 1978 to preserve, interpret, and perpetuate traditional Native Hawaiian culture and activities. KAHO contains a variety of culturally and ecologically significant water resources and water-related habitat for species that have been declared as threatened or endangered by the U.S. Fish and Wildlife Service, or are candidate threatened or endangered species. These habitats are dependent on coastal unconfined groundwater in a freshwater-lens system. The coastal unconfined-groundwater system is recharged by local infiltration of rainfall but also may receive recharge from an inland groundwater system containing groundwater impounded to high altitudes. The area inland of and near KAHO is being rapidly urbanized and increased groundwater withdrawals from the inland impounded-groundwater system may affect habitat and water quality in KAHO, depending on the extent of connection between the coastal unconfined groundwater and inland impounded-groundwater. An investigation of the geochemistry of surface-water and groundwater samples in and near KAHO was performed to evaluate the presence or absence of a connection between the inland impounded- and coastal unconfined-groundwater systems in the area. Analyses of major ions, selected trace elements, rare-earth elements, and strontium-isotope ratio results from ocean, fishpond, anchialine pool, and groundwater samples were consistent with a linear mixing process between the inland impounded and coastal unconfined-groundwater systems. Stable isotopes of water in many samples from the coastal unconfined-groundwater system require an aggregate recharge altitude that is substantially higher than the boundary between the coastal unconfined and inland impounded systems, a further indication of a hydrologic connection between the two systems. The stable isotope composition of the freshwater component of water samples from KAHO indicates that about 25–70% of the freshwater is derived from the inland impounded system.
","language":"English","publisher":"Elseiver","doi":"10.1016/j.apgeochem.2014.10.003","usgsCitation":"Tillman, F., Oki, D.S., Johnson, A.G., Barber, L.B., and Beisner, K.R., 2014, Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i: Applied Geochemistry, v. 51, p. 278-292, https://doi.org/10.1016/j.apgeochem.2014.10.003.","productDescription":"15 p.","startPage":"278","endPage":"292","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057293","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":472521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2014.10.003","text":"Publisher Index Page"},{"id":297086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokōhau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.08001708984375,\n 19.42126831604998\n ],\n [\n -156.08001708984375,\n 19.73697619787738\n ],\n [\n -155.84999084472656,\n 19.73697619787738\n ],\n [\n -155.84999084472656,\n 19.42126831604998\n ],\n [\n -156.08001708984375,\n 19.42126831604998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a8ce4b08de9379b30ea","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - 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High dissolved-solids loading to the River and tributaries are derived primarily from geologic material deposited in inland seas in the mid-to-late Cretaceous Period, but this loading may be increased by human activities. High dissolved solids in the River causes substantial damages to users, primarily in reduced agricultural crop yields and corrosion. The Colorado River Basin Salinity Control Program was created to manage dissolved-solids loading to the River and has focused primarily on reducing irrigation-related loading from agricultural areas. This work presents a reconnaissance of existing data from sites in the Upper Colorado River Basin (UCRB) in order to highlight areas where suspended-sediment control measures may be useful in reducing dissolved-solids concentrations. Multiple linear regression was used on data from 164 sites in the UCRB to develop dissolved-solids models that include combinations of explanatory variables of suspended sediment, flow, and time. Results from the partial t-test, overall likelihood ratio, and partial likelihood ratio on the models were used to group the sites into categories of strong, moderate, weak, and no-evidence of a relation between suspended-sediment and dissolved-solids concentrations. Results show 68 sites have strong or moderate evidence of a relation, with drainage areas for many of these sites composed of a large percentage of clastic sedimentary rocks. These results could assist water managers in the region in directing field-scale evaluation of suspended-sediment control measures to reduce UCRB dissolved-solids loading.
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Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70136281,"text":"ofr20141257 - 2014 - Agricultural irrigated land-use inventory for Osceola County, Florida, October 2013-April 2014","interactions":[],"lastModifiedDate":"2015-01-07T11:29:14","indexId":"ofr20141257","displayToPublicDate":"2015-01-06T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1257","title":"Agricultural irrigated land-use inventory for Osceola County, Florida, October 2013-April 2014","docAbstract":"A detailed inventory of irrigated crop acreage is not available at the level of resolution needed to increase the accuracy of current water-use estimates or to project future water demands in many Florida counties. This report provides a detailed digital map and summary of irrigated areas within Osceola County for the agricultural growing period October 2013–April 2014. The irrigated areas were first delineated using land-use data and satellite imagery and then field verified between February and April 2014. Selected attribute data were collected for the irrigated areas, including crop type, primary water source, and type of irrigation system. Results indicate that an estimated 27,450 acres were irrigated during the study period. This includes 4,370 acres of vegetables, 10,970 acres of orchard crops, 1,620 acres of field crops, and 10,490 acres of ornamentals and grasses. Specifically, irrigated acreage included citrus (10,860 acres), sod (5,640 acres), pasture (4,580 acres), and potatoes (3,320 acres). Overall, groundwater was used to irrigate 18,350 acres (67 percent of the total acreage), and surface water was used to irrigate the remaining 9,100 acres (33 percent). Microirrigation systems accounted for 45 percent of the total acreage irrigated, flood systems 30 percent, and sprinkler systems the remaining 25 percent. An accurate, detailed, spatially referenced, and field-verified inventory of irrigated crop acreage can be used to assist resource managers making current and future county-level water-use estimates in Osceola County.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141257","collaboration":"Florida Department of Agriculture and Consumer Services","usgsCitation":"Marella, R.L., and Dixon, J.F., 2014, Agricultural irrigated land-use inventory for Osceola County, Florida, October 2013-April 2014: U.S. Geological Survey Open-File Report 2014-1257, Report: 8 p.; 1 Appendix, https://doi.org/10.3133/ofr20141257.","productDescription":"Report: 8 p.; 1 Appendix","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057250","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":297029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141257.jpg"},{"id":297026,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1257/"},{"id":297027,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1257/pdf/ofr2014-1257.pdf"},{"id":297028,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1257/pdf/ofr2014-1257_appendix1.pdf"}],"country":"United States","state":"Florida","county":"Osceola County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.9854736328125,\n 27.72243591897343\n ],\n [\n -81.9854736328125,\n 28.65203063036226\n ],\n [\n -80.7000732421875,\n 28.65203063036226\n ],\n [\n -80.7000732421875,\n 27.72243591897343\n ],\n [\n -81.9854736328125,\n 27.72243591897343\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a51e4b08de9379b2fdc","contributors":{"authors":[{"text":"Marella, Richard L. 0000-0003-4861-9841 rmarella@usgs.gov","orcid":"https://orcid.org/0000-0003-4861-9841","contributorId":2443,"corporation":false,"usgs":true,"family":"Marella","given":"Richard","email":"rmarella@usgs.gov","middleInitial":"L.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Joann F. 0000-0001-9200-6407 jdixon@usgs.gov","orcid":"https://orcid.org/0000-0001-9200-6407","contributorId":1756,"corporation":false,"usgs":true,"family":"Dixon","given":"Joann","email":"jdixon@usgs.gov","middleInitial":"F.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":537294,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133600,"text":"fs20143117 - 2014 - Data and spatial studies of the USGS Texas Water Science Center","interactions":[],"lastModifiedDate":"2016-08-05T12:04:40","indexId":"fs20143117","displayToPublicDate":"2015-01-03T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3117","title":"Data and spatial studies of the USGS Texas Water Science Center","docAbstract":"Hydrologists, geographers, geophysicists, and geologists with the U.S. Geological Survey (USGS) Texas Water Science Center (TXWSC) work in the USGS Water Mission Area on a diverse range of projects built on a foundation of spatial data. The TXWSC has developed sophisticated data and spatial-studies-related capabilities that are an integral part of the projects undertaken by the Center.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143117","usgsCitation":"Burley, T.E., 2014, Data and spatial studies of the USGS Texas Water Science Center: U.S. Geological Survey Fact Sheet 2014-3117, 4 p., https://doi.org/10.3133/fs20143117.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060637","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":296978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143117.jpg"},{"id":296977,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3117/pdf/fs2014-3117.pdf","size":"1.12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296974,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3117/"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.74316406249999,\n 25.859223554761407\n ],\n [\n -106.74316406249999,\n 36.527294814546245\n ],\n [\n -93.40576171875,\n 36.527294814546245\n ],\n [\n -93.40576171875,\n 25.859223554761407\n ],\n [\n -106.74316406249999,\n 25.859223554761407\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a62e4b08de9379b3030","contributors":{"authors":[{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537543,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70150449,"text":"70150449 - 2014 - Golden alga presence and abundance are inversely related to salinity in a high-salinity river ecosystem, Pecos River, USA","interactions":[],"lastModifiedDate":"2015-07-21T11:41:44","indexId":"70150449","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Golden alga presence and abundance are inversely related to salinity in a high-salinity river ecosystem, Pecos River, USA","docAbstract":"Prymnesium parvum (golden alga, GA) is a toxigenic harmful alga native to marine ecosystems that has also affected brackish inland waters. The first toxic bloom of GA in the western hemisphere occurred in the Pecos River, one of the saltiest rivers in North America. Environmental factors (water quality) associated with GA occurrence in this basin, however, have not been examined. Water quality and GA presence and abundance were determined at eight sites in the Pecos River basin with or without prior history of toxic blooms. Sampling was conducted monthly from January 2012 to July 2013. Specific conductance (salinity) varied spatiotemporally between 4408 and 73,786 mS/cm. Results of graphical, principal component (PCA), and zero-inflated Poisson (ZIP) regression analyses indicated that the incidence and abundance of GA are reduced as salinity increases spatiotemporally. LOWESS regression and correlation analyses of archived data for specific conductance and GA abundance at one of the study sites retrospectively confirmed the negative association between these variables. Results of PCA also suggested that at <15,000 mS/cm, GA was present at a relatively wide range of nutrient (nitrogen and phosphorus) concentrations whereas at higher salinity, GA was observed only at mid-to-high nutrient levels. Generally consistent with earlier studies, results of ZIP regression indicated that GA presence is positively associated with organic phosphorus and in samples where GA is present, GA abundance is positively associated with organic nitrogen and negatively associated with inorganic nitrogen. This is the first report of an inverse relation between salinity and GA presence and abundance in riverine waters and of interaction effects of salinity and nutrients in the field. These observations contribute to a more complete understanding of environmental conditions that influence GA distribution in inland waters.
","language":"English","publisher":"Elsevier Science BV","publisherLocation":"Amsterdam","doi":"10.1016/j.hal.2014.06.012","usgsCitation":"Israel, N., VanLandeghem, M., Denny, S., Ingle, J., and Patino, R., 2014, Golden alga presence and abundance are inversely related to salinity in a high-salinity river ecosystem, Pecos River, USA: Harmful Algae, v. 39, no. 2014, p. 81-91, https://doi.org/10.1016/j.hal.2014.06.012.","productDescription":"11 p.","startPage":"81","endPage":"91","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2013-07-31","ipdsId":"IP-052901","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Pecos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.66650390625,\n 29.305561325527698\n ],\n [\n -105.66650390625,\n 36.31512514748051\n ],\n [\n -100.8544921875,\n 36.31512514748051\n ],\n [\n -100.8544921875,\n 29.305561325527698\n ],\n [\n -105.66650390625,\n 29.305561325527698\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"2014","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55af6d2be4b09a3b01b51aa4","contributors":{"authors":[{"text":"Israel, Natascha","contributorId":145737,"corporation":false,"usgs":false,"family":"Israel","given":"Natascha","email":"","affiliations":[],"preferred":false,"id":565135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":565136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, Shawn","contributorId":145738,"corporation":false,"usgs":false,"family":"Denny","given":"Shawn","email":"","affiliations":[],"preferred":false,"id":565137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingle, John","contributorId":145739,"corporation":false,"usgs":false,"family":"Ingle","given":"John","email":"","affiliations":[],"preferred":false,"id":565138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556898,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155852,"text":"70155852 - 2014 - Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","interactions":[],"lastModifiedDate":"2015-08-13T09:31:04","indexId":"70155852","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","docAbstract":"Nitrogen (N) is a ubiquitous contaminant throughout agricultural landscapes due to both the application of inorganic and organic fertilizers to agricultural fields and the general persistence of nitrate (NO3 ) in oxygenated aqueous environments (Denver et al. 2010; Domagalski et al. 2008; Green et al. 2008; Coupe 2001; Nolan and Stoner 2000). In order to understand why excess N occurs various hydrologic systems (environments), it is important to consider potential sources, the locations of these sources in the watershed, and the timing of the application of sources with respect to the movement of water. To learn how to manage N in a watershed, it is necessary to identify and quantify flow paths and biogeochemical conditions, which ultimately combine to determine transport and fate. If sources, transport mechanisms, and biogeochemical controls were uniformly distributed, it would be possible to manage N uniformly throughout a watershed. However, uniform conditions are rare to nonexistent in the natural world and in the landscape altered for agricultural production. In order to adjust management activities on the landscape to have the greatest effect, it is important to understand the fate and transport N within the intersection of hydrology and biogeochemistry, that is, to understand the extent and duration of the hydrologic and biogeochemical controls as N is routed through and among each hydrologic compartment.
","language":"English","publisher":"Soil and Water Conservation Society","publisherLocation":"Ankeny, IA","doi":"10.2489/jswc.69.1.11A","usgsCitation":"Barlow, J.R., and Kröger, R., 2014, Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta: Journal of Soil and Water Conservation, v. 69, no. 1, p. 11A-16A, https://doi.org/10.2489/jswc.69.1.11A.","productDescription":"6 p.","startPage":"11A","endPage":"16A","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052573","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":306625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi Delta","volume":"69","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"55cdbfbae4b08400b1fe1423","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":566605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kröger, Robert","contributorId":146206,"corporation":false,"usgs":false,"family":"Kröger","given":"Robert","affiliations":[{"id":16626,"text":"Assistant Professor, Aquatic Sciences, College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":566606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046843,"text":"70046843 - 2014 - Soil: Organic Matter and Available Water Capacity","interactions":[],"lastModifiedDate":"2016-07-01T11:50:03","indexId":"70046843","displayToPublicDate":"2015-01-01T10:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Soil: Organic Matter and Available Water Capacity","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Encyclopedia of Natural Resources, Vol 1","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","isbn":"9781439852583","usgsCitation":"Huntington, T.G., 2014, Soil: Organic Matter and Available Water Capacity, chap. of The Encyclopedia of Natural Resources, Vol 1.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039517","costCenters":[],"links":[{"id":324741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324740,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Encyclopedia-of-Natural-Resources---Two-Volume-Set-Print/Wang/p/book/9781439852583"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57779435e4b07dd077c90626","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":117440,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518046,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70121031,"text":"70121031 - 2014 - Physical and biogeochemical controls on light attenuation in a eutrophic, back-barrier estuary","interactions":[],"lastModifiedDate":"2016-07-01T11:45:53","indexId":"70121031","displayToPublicDate":"2015-01-01T08:10:44","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Physical and biogeochemical controls on light attenuation in a eutrophic, back-barrier estuary","docAbstract":"Light attenuation is a critical parameter governing the ecological function of shallow estuaries. In these systems primary production is often dominated by benthic macroalgae and seagrass; thus light penetration to the bed is of primary importance. We quantified light attenuation in three seagrass meadows in Barnegat Bay, New Jersey, a shallow eutrophic back-barrier estuary; two of the sites were located within designated Ecologically Sensitive Areas (ESAs). We sequentially deployed instrumentation measuring photosynthetically active radiation, chlorophyll-a (chl-a) fluorescence, dissolved organic matter fluorescence (fDOM; a proxy for colored DOM absorbance), turbidity, pressure, and water velocity at 10 min intervals over three week periods at each site. At the southernmost site, where sediment availability was highest, light attenuation was highest and dominated by turbidity and to a lesser extent chl-a and CDOM. At the central site, chl-a dominated followed by turbidity and CDOM, and at the northernmost site turbidity and CDOM contributed equally to light attenuation. At a given site, the temporal variability of light attenuation exceeded the difference in median light attenuation at the three sites, indicating the need for continuous high-temporal resolution measurements. Vessel wakes, anecdotally implicated in increasing sediment resuspension, did not contribute to local resuspension within the seagrass beds, though frequent vessel wakes were observed in the channels. With regards to light attenuation and water clarity, physical and biogeochemical variables appear to outweigh any regulation of boat traffic within the ESAs.
","language":"English","publisher":"EGU","doi":"10.5194/bgd-11-12183-2014","usgsCitation":"Ganju, N., Miselis, J.L., and Aretxabaleta, A.L., 2014, Physical and biogeochemical controls on light attenuation in a eutrophic, back-barrier estuary: Biogeosciences, v. 11, p. 7193-7205, https://doi.org/10.5194/bgd-11-12183-2014.","productDescription":"13 p.","startPage":"7193","endPage":"7205","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057131","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bgd-11-12183-2014","text":"Publisher Index Page"},{"id":324738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57779433e4b07dd077c90603","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":1314,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":519242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aretxabaleta, Alfredo L. 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":5464,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70169325,"text":"70169325 - 2014 - Dietary nitrate and cardiovascular health","interactions":[],"lastModifiedDate":"2016-06-29T09:47:15","indexId":"70169325","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Dietary nitrate and cardiovascular health","docAbstract":"September 17, 2014, Bethesda, Maryland
\nThe National Heart, Lung, and Blood Institute convened this workshop to discuss the results of recent research on the effects of inorganic nitrate and nitrite on the cardiovascular system, possible long term effects of these compounds in the diet and drinking water, and future research needs including population-wide effects examined through epidemiological studies.
","conferenceTitle":"Dietary Nitrates and Cardiovascular Health","conferenceDate":"September 16, 2014","conferenceLocation":"Bethesda, MD","language":"English","publisher":"NIH","usgsCitation":"Ahluwalia, A., Gladwin, M.T., Harman, J.L., Ward, M., and Nolan, B.T., 2014, Dietary nitrate and cardiovascular health, Dietary Nitrates and Cardiovascular Health, Bethesda, MD, September 16, 2014, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070476","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":324585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324584,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.nhlbi.nih.gov/research/reports/2014-dietary-nitrate"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5774f1f4e4b07dd077c69cb5","contributors":{"authors":[{"text":"Ahluwalia, A.","contributorId":167831,"corporation":false,"usgs":false,"family":"Ahluwalia","given":"A.","email":"","affiliations":[{"id":24834,"text":"Deputy Director, The William Harvey Research Institute, Deputy Director, Barts & The London Medical School, Queen Mary University of London","active":true,"usgs":false}],"preferred":false,"id":623689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gladwin, M. T.","contributorId":30373,"corporation":false,"usgs":true,"family":"Gladwin","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":623691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harman, Jane L.","contributorId":167832,"corporation":false,"usgs":false,"family":"Harman","given":"Jane","email":"","middleInitial":"L.","affiliations":[{"id":24835,"text":"National Heart, Lung, and Blood Institute, Bethesda, MD","active":true,"usgs":false}],"preferred":false,"id":623690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, M.H.","contributorId":35939,"corporation":false,"usgs":true,"family":"Ward","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":623692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":623688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169154,"text":"70169154 - 2014 - Trouble in the aquatic world: How wildlife professionals are battling amphibian declines","interactions":[],"lastModifiedDate":"2018-03-21T15:00:27","indexId":"70169154","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Trouble in the aquatic world: How wildlife professionals are battling amphibian declines","docAbstract":"A parasitic fungus, similar to the one that caused the extinction of numerous tropical frog and toad species, is killing salamanders in Europe. Scientists first identified the fungus, Batrachochytrium salamandrivorans, in 2013 as the culprit behind the death of fire salamanders (Salamandra salamandra) in the Netherlands (Martel et al. 2013) and are now exploring its potential impact to other species. Although the fungus, which kills the amphibians by infecting their skin, has not yet spread to the United States, researchers believe it’s only a matter of time before it does and, when that happens, the impact on salamander populations could be devastating (Martel et al. 2014).
Reports of worldwide declines of amphibians began a quarter of a century ago (Blaustein & Wake 1990). Globally, some amphibian population declines occurred in the late 1950s and early 1960s, and declining trends continued in North America (Houlahan et al. 2000). In the earlier years, population declines were attributed primarily to overharvest due to unregulated supply of species such as the northern leopard frog (Lithobates pipiens) for educational use (Dodd 2013). In later years, however, causes of declines were less evident. In 1989, herpetologists at the First World Congress of Herpetology traded alarming stories of losses across continents and in seemingly protected landscapes, making it clear that amphibian population declines were a “global phenomenon.” In response to these reports, in 1991, the International Union for Conservation of Nature (IUCN) established the Declining Amphibian Populations Task Force to better understand the scale and scope of global amphibian declines. Unfortunately, the absence of long-term monitoring data and targeted studies made it difficult for the task force to compile information.
Today, according to AmphibiaWeb.org, there are 7,342 amphibian species in the world — double the number since the first alerts of declines — making the situation appear deceptively less dire. In fact, our understanding of genetic diversity significantly raises the stakes, and we are at risk of losing far more species than we believed only a few years ago. According to the IUCN, amphibians now lead the list of vertebrate taxa affected by the larger “biodiversity crisis” and sixth major mass- extinction event on Earth (Keith et al. 2014, Wake and Vredenburg 2008).
","language":"English","publisher":"The Wildlife Society","usgsCitation":"Olson, D.H., and Chestnut, T.E., 2014, Trouble in the aquatic world: How wildlife professionals are battling amphibian declines: The Wildlife Professional, v. 8, no. 4, p. 28-31.","productDescription":"4 p.","startPage":"28","endPage":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060298","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":319205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319204,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wildlife.org/trouble-in-the-aquatic-world/"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f3be56e4b0f59b85e02f59","contributors":{"authors":[{"text":"Olson, Deanna H.","contributorId":114032,"corporation":false,"usgs":true,"family":"Olson","given":"Deanna","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":623250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chestnut, Tara E. chestnut@usgs.gov","contributorId":3921,"corporation":false,"usgs":true,"family":"Chestnut","given":"Tara","email":"chestnut@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":623249,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173951,"text":"70173951 - 2014 - Free-living waterfowl and shorebirds","interactions":[],"lastModifiedDate":"2020-07-01T18:06:54.047791","indexId":"70173951","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"29","title":"Free-living waterfowl and shorebirds","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Zoo animal and wildlife immobilization and anesthesia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"John Wiley and Sons","usgsCitation":"Mulcahy, D.M., 2014, Free-living waterfowl and shorebirds, chap. 29 of Zoo animal and wildlife immobilization and anesthesia, p. 481-505.","productDescription":"25 p.","startPage":"481","endPage":"505","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032775","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":324086,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wiley.com/WileyCDA/WileyTitle/productCd-081381183X.html"},{"id":324087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd edition","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a653ae4b07657d1a11da5","contributors":{"editors":[{"text":"West, Gary","contributorId":169996,"corporation":false,"usgs":false,"family":"West","given":"Gary","email":"","affiliations":[],"preferred":false,"id":640013,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Heard, Darryl","contributorId":84247,"corporation":false,"usgs":true,"family":"Heard","given":"Darryl","affiliations":[],"preferred":false,"id":640014,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Caulkett, Nigel","contributorId":172248,"corporation":false,"usgs":false,"family":"Caulkett","given":"Nigel","email":"","affiliations":[],"preferred":false,"id":640015,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":639744,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70168739,"text":"70168739 - 2014 - Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station","interactions":[],"lastModifiedDate":"2018-09-14T15:57:47","indexId":"70168739","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station","docAbstract":"Information on the contribution of nitrogen (N)-cycling processes in bed sediments to river nutrient fluxes in large northern latitude river systems is limited. This study examined the relationship between N-cycling processes in bed sediments and N speciation and loading in the Yukon River near its mouth at the Bering Sea. We conducted laboratory bioassays to measure N-cycling processes in sediment samples collected over distinct water cycle seasons. In conjunction, the microbial community composition in the bed sediments using genes involved in N-cycling (narG, napA, nosZ, and amoA) and 16S rRNA gene pyrosequences was examined. Temporal variation was observed in net N mineralization, nitrate uptake, and denitrification rate potentials and correlated strongly with sediment carbon (C) and extractable N content and microbial community composition rather than with river water nutrient concentrations. The C content of the bed sediment was notably impacted by the spring flood, ranging from 1.1% in the midst of an ice-jam to 0.1% immediately after ice-out, suggesting a buildup of organic material (OM) prior to scouring of the bed sediments during ice break up. The dominant members of the microbial community that explained differences in N-processing rates belonged to the genera Crenothrix,Flavobacterium, and the family of Comamonadaceae. Our results suggest that biogeochemical processing rates in the bed sediments appear to be more coupled to hydrology, nutrient availability in the sediments, and microbial community composition rather than river nutrient concentrations at Pilot Station.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JG002707","usgsCitation":"Repert, D.A., Underwood, J., Smith, R.L., and Song, B., 2014, Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station: Journal of Geophysical Research: Biogeosciences, v. 119, no. 12, p. 2328-2344, https://doi.org/10.1002/2014JG002707.","productDescription":"16 p.","startPage":"2328","endPage":"2344","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054832","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002707","text":"Publisher Index Page"},{"id":318419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Pilot Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.91454315185547,\n 61.91762456647703\n ],\n [\n -162.91454315185547,\n 61.94960777635835\n ],\n [\n -162.82733917236328,\n 61.94960777635835\n ],\n [\n -162.82733917236328,\n 61.91762456647703\n ],\n [\n -162.91454315185547,\n 61.91762456647703\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-26","publicationStatus":"PW","scienceBaseUri":"56d579d7e4b015c306f1fc80","chorus":{"doi":"10.1002/2014jg002707","url":"http://dx.doi.org/10.1002/2014jg002707","publisher":"Wiley-Blackwell","authors":"Repert Deborah A., Underwood Jennifer C., Smith Richard L., Song Bongkeun","journalName":"Journal of Geophysical Research: Biogeosciences","publicationDate":"12/2014","auditedOn":"1/10/2015"},"contributors":{"authors":[{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":621494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Jennifer C. jcunder@usgs.gov","contributorId":4680,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer C.","email":"jcunder@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":621496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Song, Bongkeun","contributorId":167262,"corporation":false,"usgs":false,"family":"Song","given":"Bongkeun","email":"","affiliations":[{"id":24668,"text":"University of North Carolina, Wilmington","active":true,"usgs":false}],"preferred":false,"id":621497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158996,"text":"70158996 - 2014 - Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis","interactions":[],"lastModifiedDate":"2018-09-14T15:47:55","indexId":"70158996","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis","docAbstract":"Mercury is a ubiquitous global environmental toxicant responsible for most US fish advisories. Processes governing mercury concentrations in rivers and streams are not well understood, particularly at multiple spatial scales. We investigate how insights gained from reach-scale mercury data and model simulations can be applied at broader watershed scales using a spatially and temporally explicit watershed hydrology and biogeochemical cycling model, VELMA. We simulate fate and transport using reach-scale (0.1 km2) study data and evaluate applications to multiple watershed scales. Reach-scale VELMA parameterization was applied to two nested sub-watersheds (28 km2 and 25 km2) and the encompassing watershed (79 km2). Results demonstrate that simulated flow and total mercury concentrations compare reasonably to observations at different scales, but simulated methylmercury concentrations are out-of-phase with observations. These findings suggest that intricacies of methylmercury biogeochemical cycling and transport are under-represented in VELMA and underscore the complexity of simulating mercury fate and transport.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2013.12.026","usgsCitation":"Knightes, C.D., Golden, H., Journey, C.A., Davis, G.M., Conrads, P., Marvin-DiPasquale, M., Brigham, M.E., and Bradley, P.M., 2014, Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis: Environmental Pollution, v. 187, p. 182-192, https://doi.org/10.1016/j.envpol.2013.12.026.","productDescription":"1 p.","startPage":"182","endPage":"192","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063377","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":309838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"McTier Creek Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.60507202148438,\n 33.75060604160645\n ],\n [\n -81.60507202148438,\n 33.821370991333076\n ],\n [\n -81.51168823242188,\n 33.821370991333076\n ],\n [\n -81.51168823242188,\n 33.75060604160645\n ],\n [\n -81.60507202148438,\n 33.75060604160645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561e2b37e4b0cdb063e59cdf","contributors":{"authors":[{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":577194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Heather E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":577195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Gary M.","contributorId":12741,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":577197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marvin-DiPasquale, Mark 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":149175,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - 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2014 - Ongoing drought-induced uplift in the western United States.","interactions":[],"lastModifiedDate":"2015-11-17T11:09:32","indexId":"70159671","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Ongoing drought-induced uplift in the western United States.","docAbstract":"The western United States has been experiencing severe drought since 2013. The solid earth response to the accompanying loss of surface and near-surface water mass should be a broad region of uplift. We use seasonally adjusted time series from continuously operating global positioning system stations to measure this uplift, which we invert to estimate mass loss. The median uplift is 5 millimeters (mm), with values up to 15 mm in California’s mountains. The associated pattern of mass loss, ranging up to 50 centimeters (cm) of water equivalent, is consistent with observed decreases in precipitation and streamflow. We estimate the total deficit to be ~240 gigatons, equivalent to a 10-cm layer of water over the entire region, or the annual mass loss from the Greenland Ice Sheet.
","language":"English","publisher":"AAAS","doi":"10.1126/science.1260279","usgsCitation":"Borsa, A.A., Agnew, D.C., and Cayan, D.R., 2014, Ongoing drought-induced uplift in the western United States.: Science, v. 345, no. 6204, p. 1587-1590, https://doi.org/10.1126/science.1260279.","productDescription":"4 p.","startPage":"1587","endPage":"1590","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057892","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/science.1260279","text":"Publisher Index Page"},{"id":311419,"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 -106.435546875,\n 31.80289258670676\n ],\n [\n -106.69921875,\n 49.009050809382046\n ],\n [\n -123.26660156249999,\n 48.980216985374994\n ],\n [\n -124.892578125,\n 48.3416461723746\n ],\n [\n -124.01367187499999,\n 46.255846818480336\n ],\n [\n -124.71679687499999,\n 42.71473218539458\n ],\n [\n -124.23339843749999,\n 41.44272637767212\n ],\n [\n -124.5849609375,\n 40.27952566881291\n ],\n [\n -123.134765625,\n 37.75334401310656\n ],\n [\n -121.77246093750001,\n 36.03133177633187\n ],\n [\n -120.7177734375,\n 34.23451236236984\n ],\n [\n -118.0810546875,\n 33.687781758439364\n ],\n [\n -117.158203125,\n 32.47269502206151\n ],\n [\n -114.78515624999999,\n 32.731840896865684\n ],\n [\n -111.09374999999999,\n 31.27855085894653\n ],\n [\n -108.10546875,\n 31.353636941500987\n ],\n [\n -108.10546875,\n 31.728167146023935\n ],\n [\n -106.435546875,\n 31.80289258670676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"345","issue":"6204","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564c5ddae4b0ebfbef0d3484","contributors":{"authors":[{"text":"Borsa, Adrian Antal","contributorId":149913,"corporation":false,"usgs":false,"family":"Borsa","given":"Adrian","email":"","middleInitial":"Antal","affiliations":[{"id":17854,"text":"Scripps_Institution of Oceanography, UC San Diego","active":true,"usgs":false}],"preferred":false,"id":580004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agnew, Duncan Carr","contributorId":117798,"corporation":false,"usgs":true,"family":"Agnew","given":"Duncan","email":"","middleInitial":"Carr","affiliations":[],"preferred":false,"id":580005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":580003,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173734,"text":"70173734 - 2014 - Space use and resource selection by foraging Indiana bats at the northern edge of their distribution","interactions":[],"lastModifiedDate":"2016-06-09T14:59:50","indexId":"70173734","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Space use and resource selection by foraging Indiana bats at the northern edge of their distribution","docAbstract":"Despite 4 decades of conservation concern, managing endangered Indiana bat (Myotis sodalis) populations remains a difficult wildlife resource issue facing natural resource managers in the eastern United States. After small signs of population recovery, the recent emergence of white-nose syndrome has led to concerns of local and/or regional extirpation of the species. Where Indiana bats persist, retaining high-quality foraging areas will be critical to meet physiological needs and ensure successful recruitment and overwinter survival. However, insight into foraging behavior has been lacking in the Northeast of the USA. We radio-tracked 12 Indiana bats over 2 summers at Fort Drum, New York, to evaluate factors influencing Indiana bat resource selection during night-time foraging. We found that foraging space use decreased 2% for every 100 m increase in distance to water and 6% for every 100 m away from the forest edge. This suggests high use of riparian areas in close proximity to forest and is somewhat consistent with the species’ foraging ecology in the Midwest and upper South. Given the importance of providing access to high-quality foraging areas during the summer maternity season, Indiana bat conservation at the northern extent of the species’ range will be linked to retention of forested habitat in close proximity to riparian zones.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00594","usgsCitation":"Jachowski, D.S., Johnson, J.B., Dobony, C.A., Edwards, J.W., and Ford, W.M., 2014, Space use and resource selection by foraging Indiana bats at the northern edge of their distribution: Endangered Species Research, v. 24, no. 2, p. 149-157, https://doi.org/10.3354/esr00594.","productDescription":"9 p.","startPage":"149","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053072","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472550,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00594","text":"Publisher Index Page"},{"id":323407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9336e4b04f417c275185","contributors":{"authors":[{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobony, Christopher A.","contributorId":171455,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, John W.","contributorId":169827,"corporation":false,"usgs":false,"family":"Edwards","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173649,"text":"70173649 - 2014 - Host heterogeneity influences the impact of a non-native disease invasion on populations of a foundation tree species","interactions":[],"lastModifiedDate":"2016-06-08T11:28:34","indexId":"70173649","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Host heterogeneity influences the impact of a non-native disease invasion on populations of a foundation tree species","docAbstract":"Invasive pathogens are becoming increasingly important in forested ecosystems, yet they are often difficult to study because of their rapid transmission. The rate and extent of pathogen spread are thought to be partially controlled by variation in host characteristics, such as when host size and location influence susceptibility. Few host-pathogen systems, however, have been used to test this prediction. We used Port Orford cedar (Chamaecyparis lawsoniana), a foundation tree species in riparian areas of California and Oregon (USA), and the invasive oomycete Phytophthora lateralis to assess pathogen impacts and the role of host characteristics on invasion. Across three streams that had been infected for 13–18 years by P. lateralis, we mapped 2241 trees and determined whether they had been infected using dendrochronology. The infection probability of trees was governed by host size (diameter at breast height [DBH]) and geomorphic position (e.g., active channel, stream bank, floodplain, etc.) similarly across streams. For instance, only 23% of trees <20 cm DBH were infected, while 69% of trees ≥20 cm DBH were infected. Presumably, because spores of P. lateralis are transported downstream in water, they are more likely to encounter well-developed root systems of larger trees. Also because of this water-transport of spores, differences in infection probability were found across the geomorphic positions: 59% of cedar in the active channel and the stream bank (combined) were infected, while 23% of trees found on higher geomorphic types were infected. Overall, 32% of cedar had been infected across the three streams. However, 63% of the total cedar basal area had been killed, because the greatest number of trees, and the largest trees, were found in the most susceptible positions. In the active channel and stream bank, 91% of the basal area was infected, while 46% was infected across higher geomorphic positions. The invasion of Port Orford cedar populations by P. lateralis causes profound impacts to population structure and the invasion outcome will be governed by the heterogeneity found in host size and location. Models of disease invasion will require an understanding of how heterogeneity influences spread dynamics to adequately predict the outcome for host populations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00043.1","usgsCitation":"Jules, E.S., Carroll, A.L., Garcia, A.M., Steenbock, C.M., and Kauffman, M., 2014, Host heterogeneity influences the impact of a non-native disease invasion on populations of a foundation tree species: Ecosphere, v. 5, no. 9, p. 1-17, https://doi.org/10.1890/ES14-00043.1.","productDescription":"17 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051236","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472526,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00043.1","text":"Publisher Index Page"},{"id":323266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"575941fce4b04f417c256890","contributors":{"authors":[{"text":"Jules, Erik S.","contributorId":13854,"corporation":false,"usgs":true,"family":"Jules","given":"Erik","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carroll, Allyson L.","contributorId":171539,"corporation":false,"usgs":false,"family":"Carroll","given":"Allyson","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Andrea M.","contributorId":171540,"corporation":false,"usgs":false,"family":"Garcia","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenbock, Christopher M.","contributorId":171541,"corporation":false,"usgs":false,"family":"Steenbock","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155072,"text":"70155072 - 2014 - Landscape effects on mallard habitat selection at multiple spatial scales during the non-breeding period","interactions":[],"lastModifiedDate":"2015-08-05T12:21:51","indexId":"70155072","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape effects on mallard habitat selection at multiple spatial scales during the non-breeding period","docAbstract":"Previous studies that evaluated effects of landscape-scale habitat heterogeneity on migratory waterbird distributions were spatially limited and temporally restricted to one major life-history phase. However, effects of landscape-scale habitat heterogeneity on long-distance migratory waterbirds can be studied across the annual cycle using new technologies, including global positioning system satellite transmitters. We used Bayesian discrete choice models to examine the influence of local habitats and landscape composition on habitat selection by a generalist dabbling duck, the mallard (Anas platyrhynchos), in the midcontinent of North America during the non-breeding period. Using a previously published empirical movement metric, we separated the non-breeding period into three seasons, including autumn migration, winter, and spring migration. We defined spatial scales based on movement patterns such that movements >0.25 and <30.00 km were classified as local scale and movements >30.00 km were classified as relocation scale. Habitat selection at the local scale was generally influenced by local and landscape-level variables across all seasons. Variables in top models at the local scale included proximities to cropland, emergent wetland, open water, and woody wetland. Similarly, variables associated with area of cropland, emergent wetland, open water, and woody wetland were also included at the local scale. At the relocation scale, mallards selected resource units based on more generalized variables, including proximity to wetlands and total wetland area. Our results emphasize the role of landscape composition in waterbird habitat selection and provide further support for local wetland landscapes to be considered functional units of waterbird conservation and management.
","language":"English","publisher":"Spring Netherlands","publisherLocation":"Dordrecht, Netherlands","doi":"10.1007/s10980-014-0035-x","usgsCitation":"Beatty, W.S., Webb, E.B., Kesler, D.C., Raedeke, A.H., Naylor, L.W., and Humburg, D.D., 2014, Landscape effects on mallard habitat selection at multiple spatial scales during the non-breeding period: Landscape Ecology, v. 29, no. 6, p. 989-1000, https://doi.org/10.1007/s10980-014-0035-x.","productDescription":"12 p.","startPage":"989","endPage":"1000","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-09-01","temporalEnd":"2011-12-31","ipdsId":"IP-051645","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","volume":"29","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-26","publicationStatus":"PW","scienceBaseUri":"55c333aee4b033ef52106a9a","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":567351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":567354,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155071,"text":"70155071 - 2014 - Effects of satellite transmitters on captive and wild mallards","interactions":[],"lastModifiedDate":"2015-08-05T12:50:18","indexId":"70155071","displayToPublicDate":"2015-01-01T00:00:00","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":"Effects of satellite transmitters on captive and wild mallards","docAbstract":"Satellite telemetry has become a leading method for studying large-scale movements and survival in birds, yet few have addressed potential effects of the larger and heavier tracking equipment on study subjects. We simultaneously evaluated effects of satellite telemetry equipment on captive and wild mallards (Anas platyrhynchos) to assess impacts on behavior, body mass, and movement. We randomly assigned 55 captive ducks to one of 3 treatment groups, including a standard body harness group, a modified harness group, and a control group. Ducks in the control group were not fitted with equipment, whereas individuals in the other 2 groups were fitted with dummy transmitters attached with a Teflon ribbon harness or with a similar harness constructed of nylon cord. At the conclusion of the 14-week captive study, mean body mass of birds in the control group was 40–105 g (95% CI) greater than birds with standard harnesses, and 28–99 g (95% CI) greater than birds with modified harnesses. Further, results of focal behavior observations indicated ducks with transmitters were less likely to be in water than control birds. We also tested whether movements of wild birds marked with a similar Teflon harness satellite transmitter aligned with population movements reported by on-the-ground observers who indexed local abundances of mid-continent mallards throughout the non-breeding period. Results indicated birds marked with satellite transmitters moved concurrently with the larger unmarked population. Our results have broad implications for field research and suggest that investigators should consider potential for physiological and behavioral effects brought about by tracking equipment. Nonetheless, results from wild ducks indicate satellite telemetry has the potential to provide useful movement data.
","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/wsb.437","usgsCitation":"Kesler, D.C., Raedeke, A.H., Foggia, J.R., Beatty, W.S., Webb, E.B., Humburg, D.D., and Naylor, L.W., 2014, Effects of satellite transmitters on captive and wild mallards: Wildlife Society Bulletin, v. 38, no. 3, p. 557-565, https://doi.org/10.1002/wsb.437.","productDescription":"9 p.","startPage":"557","endPage":"565","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-07-29","temporalEnd":"2010-12-15","ipdsId":"IP-046213","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499896,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/279f09d07e584f4dbb5cc48de0afff3a","text":"External Repository"},{"id":306437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.39599609375,\n 30.12612436422458\n ],\n [\n -87.71484375,\n 42.53689200787317\n ],\n [\n -89.8681640625,\n 48.122101028190805\n ],\n [\n -96.7236328125,\n 49.781264058178365\n ],\n [\n -103.99658203125,\n 52.77618568896171\n ],\n [\n -112.0166015625,\n 52.78947558139887\n ],\n [\n -112.1484375,\n 49.009050809382046\n ],\n [\n -104.17236328125,\n 48.66194284607008\n ],\n [\n -104.0625,\n 40.94671366508002\n ],\n [\n -101.9970703125,\n 39.9602803542957\n ],\n [\n -102.94189453125,\n 35.460669951495305\n ],\n [\n -99.8876953125,\n 31.259769987394286\n ],\n [\n -94.21875,\n 29.36302703778376\n ],\n [\n -88.39599609375,\n 30.12612436422458\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-07","publicationStatus":"PW","scienceBaseUri":"55c333ace4b033ef52106a8e","chorus":{"doi":"10.1002/wsb.437","url":"http://dx.doi.org/10.1002/wsb.437","publisher":"Wiley-Blackwell","authors":"Kesler Dylan C., Raedeke Andrew H., Foggia Jennifer R., Beatty William S., Webb Elisabeth B., Humburg Dale D., Naylor Luke W.","journalName":"Wildlife Society Bulletin","publicationDate":"5/7/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":567361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foggia, Jennifer R.","contributorId":146302,"corporation":false,"usgs":false,"family":"Foggia","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":567363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":567365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567366,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173561,"text":"70173561 - 2014 - Characterizing lentic freshwater fish assemblages using multiple sampling methods","interactions":[],"lastModifiedDate":"2016-06-13T15:45:36","indexId":"70173561","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing lentic freshwater fish assemblages using multiple sampling methods","docAbstract":"Characterizing fish assemblages in lentic ecosystems is difficult, and multiple sampling methods are almost always necessary to gain reliable estimates of indices such as species richness. However, most research focused on lentic fish sampling methodology has targeted recreationally important species, and little to no information is available regarding the influence of multiple methods and timing (i.e., temporal variation) on characterizing entire fish assemblages. Therefore, six lakes and impoundments (48–1,557 ha surface area) were sampled seasonally with seven gear types to evaluate the combined influence of sampling methods and timing on the number of species and individuals sampled. Probabilities of detection for species indicated strong selectivities and seasonal trends that provide guidance on optimal seasons to use gears when targeting multiple species. The evaluation of species richness and number of individuals sampled using multiple gear combinations demonstrated that appreciable benefits over relatively few gears (e.g., to four) used in optimal seasons were not present. Specifically, over 90 % of the species encountered with all gear types and season combinations (N = 19) from six lakes and reservoirs were sampled with nighttime boat electrofishing in the fall and benthic trawling, modified-fyke, and mini-fyke netting during the summer. Our results indicated that the characterization of lentic fish assemblages was highly influenced by the selection of sampling gears and seasons, but did not appear to be influenced by waterbody type (i.e., natural lake, impoundment). The standardization of data collected with multiple methods and seasons to account for bias is imperative to monitoring of lentic ecosystems and will provide researchers with increased reliability in their interpretations and decisions made using information on lentic fish assemblages.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-014-3711-z","usgsCitation":"Fischer, J., and Quist, M.C., 2014, Characterizing lentic freshwater fish assemblages using multiple sampling methods: Environmental Monitoring and Assessment, v. 186, no. 7, p. 4461-4474, https://doi.org/10.1007/s10661-014-3711-z.","productDescription":"14 p.","startPage":"4461","endPage":"4474","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042076","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-18","publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa0a","contributors":{"authors":[{"text":"Fischer, Jesse R.","contributorId":86618,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse R.","affiliations":[],"preferred":false,"id":638610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637343,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}