As questions regarding the influence of increasing urbanization on water quality in the Edwards aquifer are raised, a better understanding of the sources, fate, and transport of compounds of concern in the aquifer—in particular, nutrients and pesticides—is needed to improve water management decision-making capabilities. The U.S. Geological Survey, in cooperation with the San Antonio Water System, performed a study from 2010 to 2016 to better understand how water quality changes under a range of hydrologic conditions and in contrasting land-cover settings (rural and urban) in the Edwards aquifer. The study design included continuous hydrologic monitoring, continuous water-quality monitoring, and discrete sample collection for a detailed characterization of water quality at a network of sites throughout the aquifer system. The sites were selected to encompass a “source-to-sink” (that is, from aquifer recharge to aquifer discharge) approach. Network sites were selected to characterize rainfall, recharging surface water, and groundwater; groundwater sites included wells in the unconfined part of the aquifer (unconfined wells) and in the confined part of the aquifer (confined wells) and a major discharging spring. Storm-related samples—including rainfall samples, stormwater-runoff (surface-water) samples, and groundwater samples—were collected to characterize the aquifer response to recharge.
Elevated nitrate concentrations relative to national background values and the widespread detection of pesticides indicate that the Edwards aquifer is vulnerable to contamination and that vulnerability is affected by factors such as land cover, aquifer hydrogeology, and changes in hydrologic conditions. Greater vulnerability of groundwater in urban areas relative to rural areas was evident from results for urban groundwater sites, which generally had higher nitrate concentrations, elevated δ15N-nitrate values, a greater diversity of pesticides, and higher pesticide concentrations. The continuum of water quality from unconfined rural groundwater sites (least affected by anthropogenic contamination) to unconfined urban groundwater sites (most affected by anthropogenic contamination) demonstrates enhanced vulnerability of urban versus rural land cover. Differences in contaminant occurrences and concentration among unconfined urban wells indicate that the urban parts of the aquifer are not uniformly vulnerable, but rather are affected by spatial differences in the sources of nutrients and pesticides. In urban areas, the shallow, unconfined groundwater sites showed greater temporal variability in both nutrient and pesticide concentrations, as well as a greater degree of contamination, than did deeper, confined groundwater sites. In comparison to that of the shallow, unconfined groundwater sites, the water quality of the deeper, confined groundwater sites was relatively invariant during this multiyear study. Although aquifer hydrogeology is an important factor related to aquifer vulnerability, land cover likely has a greater influence on pesticide contamination of groundwater. Temporal variability in hydrologic conditions for the Edwards aquifer is apparent in data for surface water as a source of groundwater recharge, water-level altitude in wells, spring discharge, and groundwater quality. This temporal variability affects recharge sources, recharge amounts, groundwater traveltimes, flow routing, water-rock interaction processes, dilution, mixing, and, in turn, water quality. Relations of land cover, aquifer hydrogeology, and changing hydrologic conditions to water quality are complex but provide insight into the vulnerability of Edwards aquifer groundwater—a vital drinking-water resource.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185060","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Opsahl, S.P., Musgrove, M., Mahler, B.J., and Lambert, R.B., 2018, Water-quality observations of the San Antonio segment of the Edwards aquifer, Texas, with an emphasis on processes influencing nutrient and pesticide geochemistry and factors affecting aquifer vulnerability, 2010–16: U.S. Geological Survey Scientific Investigations Report 2018–5060, 67 p., https://doi.org/10.3133/sir20185060.","productDescription":"Report: viii, 67 p.; Data release","numberOfPages":"79","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-093387","costCenters":[{"id":583,"text":"Texas Water Science 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Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754
We present the details of a multi-institutional effort to develop an open-access shear-wave velocity (VS) profile database (PDB), which will include a public repository for VS profile data in the United States. VS profiles are an essential resource for ground motion modeling and other applications. The minimum requirements for a site to be included in the database are in situ geophysical VS measurements and location metadata (geodetic coordinates and elevation). Other information is included as available, including geotechnical logs, penetration resistance, laboratory test data, ground water elevation, and P-wave velocity profiles. The project is currently at the stage of data collection (over 4500 VS profiles) and prototype data model development. The database will be presented as an online map-based interface with downloadable VS profile and metadata information. This paper serves as a progress report to the geotechnical and earthquake engineering communities, as we seek community engagement and support.
","conferenceTitle":"Geotechnical Earthquake Engineering and Soil Dynamics V","conferenceDate":"June 10–13, 2018","conferenceLocation":"Austin, TX","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784481462.032","usgsCitation":"Ahdi, S., Sadiq, S., Ilhan, O., Bozorgnia, Y., Hashash, Y.M., Kwak, D., Park, D., Yong, A., and Stewart, J.P., 2018, Development of a United States community shear wave velocity profile database, Geotechnical Earthquake Engineering and Soil Dynamics V, Austin, TX, June 10–13, 2018, p. 330-339, https://doi.org/10.1061/9780784481462.032.","productDescription":"10 p.","startPage":"330","endPage":"339","ipdsId":"IP-091755","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahdi, Sean K.","contributorId":350843,"corporation":false,"usgs":false,"family":"Ahdi","given":"Sean K.","affiliations":[{"id":83846,"text":"Dept. Civil & Env. Eng., UCLA, Los Angeles, CA; email: sahdi@ucla.edu","active":true,"usgs":false}],"preferred":false,"id":927103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sadiq, Shamsher","contributorId":350844,"corporation":false,"usgs":false,"family":"Sadiq","given":"Shamsher","affiliations":[{"id":83848,"text":"Dept. Civil & Env. Eng., Hanyang Univ.; email: shamshersadi@hanyang.ac.kr","active":true,"usgs":false}],"preferred":false,"id":927104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ilhan, Okan","contributorId":294751,"corporation":false,"usgs":false,"family":"Ilhan","given":"Okan","email":"","affiliations":[{"id":63637,"text":"Ankara Bildirim Beyazıt University, Turkey","active":true,"usgs":false}],"preferred":false,"id":927105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bozorgnia, Yousef","contributorId":40101,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Yousef","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":927106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hashash, Youssef M. A.","contributorId":294752,"corporation":false,"usgs":false,"family":"Hashash","given":"Youssef","email":"","middleInitial":"M. A.","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":927107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kwak, Dong Youp","contributorId":350845,"corporation":false,"usgs":false,"family":"Kwak","given":"Dong Youp","affiliations":[{"id":83850,"text":"RMS, Inc., Newark, CA; email: Dongyoup.Kwak@rms.com","active":true,"usgs":false}],"preferred":false,"id":927108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Park, Duhee","contributorId":350846,"corporation":false,"usgs":false,"family":"Park","given":"Duhee","affiliations":[{"id":83851,"text":"Dept. Civil & Env. Eng., Hanyang Univ.; email: dpark@hanyang.ac.kr","active":true,"usgs":false}],"preferred":false,"id":927109,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927110,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, Jonathan P.","contributorId":100110,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":927111,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70197482,"text":"70197482 - 2018 - The influence of neap-spring tidal variation and wave energy on sediment flux in salt marsh tidal creeks","interactions":[],"lastModifiedDate":"2018-09-10T11:01:19","indexId":"70197482","displayToPublicDate":"2018-06-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"The influence of neap-spring tidal variation and wave energy on sediment flux in salt marsh tidal creeks","docAbstract":"Sediment flux in marsh tidal creeks is commonly used to gage sediment supply to marshes. We conducted a field investigation of temporal variability in sediment flux in tidal creeks in the accreting tidal marsh at China Camp State Park adjacent to northern San Francisco Bay. Suspended-sediment concentration (SSC), velocity, and depth were measured near the mouths of two tidal creeks during three six-to-ten-week deployments: two in winter and one in summer. Currents, wave properties and SSC were measured in the adjacent shallows. All deployments spanned the largest spring tides of the season. Results show that tidally-averaged suspended-sediment flux (SSF) in the tidal creeks decreased with increasing tidal energy, and SSF was negative (bayward) for tidal cycles with maximum water surface elevation above the marsh plain. Export during the largest spring tides dominated the cumulative SSF measured during the deployments. During ebb tides following the highest tides, velocities exceeded 1 m/s in the narrow tidal creeks, resulting in negative tidally-averaged water flux, and mobilizing sediment from the creek banks or bed. Storm surge also produced negative SSF. Tidally-averaged SSF was positive in wavey conditions with moderate tides. Spring-tide sediment export was about 50% less at a station 130 m further up the tidal creek than at the creek mouth. The negative tidally-averaged water flux near the creek mouth during spring tides indicates that in the lower marsh, some of the water flooding directly across the bay--marsh interface drains through the tidal creeks, and suggests that this interface may be a pathway for sediment supply to the lower marsh as well.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4401","usgsCitation":"Lacy, J.R., Ferner, M.C., and Callaway, J.C., 2018, The influence of neap-spring tidal variation and wave energy on sediment flux in salt marsh tidal creeks: Earth Surface Processes and Landforms, v. 43, no. 11, p. 2384-2396, https://doi.org/10.1002/esp.4401.","productDescription":"13 p.","startPage":"2384","endPage":"2396","ipdsId":"IP-090500","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":354807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.991943359375,\n 37.29590550406618\n ],\n [\n -121.497802734375,\n 37.29590550406618\n ],\n [\n -121.497802734375,\n 38.33734763569314\n ],\n [\n -122.991943359375,\n 38.33734763569314\n ],\n [\n -122.991943359375,\n 37.29590550406618\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-22","publicationStatus":"PW","scienceBaseUri":"5b46e56fe4b060350a15d15d","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferner, Matthew C.","contributorId":176972,"corporation":false,"usgs":false,"family":"Ferner","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callaway, John C. 0000-0002-7364-286X","orcid":"https://orcid.org/0000-0002-7364-286X","contributorId":205456,"corporation":false,"usgs":false,"family":"Callaway","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37110,"text":"Dept. of Environmental Science, University of San Francisco, 2130 Fulton St., San Francisco, CA 94117","active":true,"usgs":false}],"preferred":false,"id":737357,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195401,"text":"sim3398 - 2018 - Water-table and potentiometric-surface altitudes in the upper glacial, Magothy, and Lloyd aquifers of Long Island, New York, April–May 2016","interactions":[],"lastModifiedDate":"2018-06-07T10:40:26","indexId":"sim3398","displayToPublicDate":"2018-06-06T12:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3398","title":"Water-table and potentiometric-surface altitudes in the upper glacial, Magothy, and Lloyd aquifers of Long Island, New York, April–May 2016","docAbstract":"The U.S. Geological Survey, in cooperation with State and local agencies, systematically collects groundwater data at varying measurement frequencies to monitor the hydrologic conditions on Long Island, New York. Each year during April and May, the U.S. Geological Survey completes a synoptic survey of water levels to define the spatial distribution of the water table and potentiometric surfaces within the three main water-bearing units underlying Long Island—the upper glacial, Magothy, and Lloyd aquifers—and the hydraulically connected Jameco and North Shore aquifers. These data and the maps constructed from them are commonly used in studies of the hydrology of Long Island and are used by water managers and suppliers for aquifer management and planning purposes.
Water-level measurements made in 424 monitoring wells (observation and supply wells), 13 streamgages, and 2 lake gages across Long Island during April–May 2016 were used to prepare the maps in this report. Groundwater measurements were made by the wetted-tape or electric-tape method to the nearest hundredth of a foot. Contours of water-table and potentiometric-surface altitudes were created using the groundwater measurements. The water-table contours were interpreted using water-level data collected from 275 observation wells and 1 supply well screened in the upper glacial aquifer and the shallow Magothy aquifer and 13 streamgages and 2 lake gages. The potentiometric-surface contours of the Magothy aquifer were interpreted from measurements at 88 wells (61 observation wells and 27 supply wells) screened in the middle to deep Magothy aquifer and the contiguous and hydraulically connected Jameco aquifer. The potentiometric-surface contours of the Lloyd aquifer were interpreted from measurements at 60 wells (55 observation wells and 5 supply wells) screened in the Lloyd aquifer and the contiguous and hydraulically connected North Shore aquifer. Many of the supply wells are in continuous operation and, therefore, were turned off for a minimum of 24 hours before measurements were made to allow the water levels in the wells to recover to ambient (nonpumping) conditions. Full recovery time at some of these supply wells can exceed 24 hours; therefore, water levels measured at these wells are assumed to be less accurate than those measured at observation wells, which are not pumped. In addition to pumping stresses, density differences (saline water) also lower the water levels measured in certain wells. Recent water-quality data are lacking in these wells; therefore, a conversion to freshwater head could not be performed accurately and was not attempted. In this report, all water-level altitudes are referenced to the National Geodetic Vertical Datum of 1929 (NGVD 29).
The land surface altitude, or topography, was obtained from the National Oceanic and Atmospheric Administration. The data were collected using light detection and ranging (lidar) and were used to produce a three-dimensional digital elevation model. The lidar data have a horizontal accuracy of 1.38 feet and a vertical accuracy of 0.40 foot at a 95-percent confidence level for the “open terrain” land-cover category. The digital elevation model was developed jointly by the National Oceanic and Atmospheric Administration and the U.S. Geological Survey as part of the Disaster Relief Appropriations Act of 2013. Land surface altitude is referenced to the North American Vertical Datum of 1988 (NAVD 88). On Long Island, NAVD 88 is approximately 1 foot higher than NGVD 29.
Hydrographs are included on these maps for selected wells that have continuous digital recording equipment, and each hydrograph includes the water level measured during the synoptic survey. These hydrographs are representative of the 2016 water year and show the changes throughout that period; a water year is the 12-month period from October 1 to September 30 and is designated by the year in which it ends.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3398","collaboration":"Prepared in cooperation with the Manhasset-Lakeville Water District, Nassau County Department of Public Works, New York State Department of Environmental Conservation, Port Washington Water District, Sands Point Water Department, Suffolk County Department of Health Services, Suffolk County Water Authority, Town of North Hempstead, Town of Shelter Island, and Water Authority of Great Neck North","usgsCitation":"Como, M.D., Finkelstein, J.S., Rivera, S.L., Monti, Jack, Jr., and Busciolano, Ronald, 2018, Water-table and potentiometric-surface altitudes in the upper glacial, Magothy, and Lloyd aquifers of Long Island, New York, April–May 2016: U.S. Geological Survey Scientific Investigations Map 3398, 4 sheets, scale 1:125,000, 5-p. pamphlet, https://doi.org/10.3133/sim3398.","productDescription":"Pamphlet: iii, 5 p.; 8 Sheets: 69.00 x 24.11 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085602","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":354435,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet03.pdf","text":"Sheet 3 - (Full size)","size":"107 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Potentiometric Surface in the Lloyd and North Shore Aquifers"},{"id":354436,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet04.pdf","text":"Sheet 4 - (Full size)","size":"90 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Depth to Water Table"},{"id":354438,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G15Z9T","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS data release—Geospatial dataset of water-table and potentiometric-surface altitudes in the upper glacial, Magothy, and Lloyd aquifers of Long Island, New York, April–May 2016 "},{"id":354439,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet01w.pdf","text":"Sheet 1 - (Reduced size)","size":"76.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":354440,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet02w.pdf","text":"Sheet 2 - (Reduced size)","size":"71.6 MB"},{"id":354441,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet03w.pdf","text":"Sheet 3 - (Reduced size)","size":"71.6 MB"},{"id":354442,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet04w.pdf","text":"Sheet 4 - (Reduced size)","size":"69.6 MB"},{"id":354431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3398/coverthb.jpg"},{"id":354432,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3398/sim3398.pdf","text":"Report (Pamphlet)","description":"SIM 3398"},{"id":354433,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet01.pdf","text":"Sheet 1 - (Full size)","size":"103 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Upper Glacial and Shallow Magothy Aquifers (Water Table)"},{"id":354434,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3398/sim3398_sheet02.pdf","text":"Sheet 2 - (Full size)","size":"107 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Potentiometric Surface in the Magothy and Jameco Aquifers"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.0423583984375,\n 40.51797520038851\n ],\n [\n -71.8011474609375,\n 40.51797520038851\n ],\n [\n -71.8011474609375,\n 41.21585377825921\n ],\n [\n -74.0423583984375,\n 41.21585377825921\n ],\n [\n -74.0423583984375,\n 40.51797520038851\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
2045 Route 112, Building 4
Coram, NY 11727
Fallout radionuclides (FRNs) and their ratios, such as Beryllium‐7 (7Be) and excess Lead‐210 (210Pbxs), have been used to determine suspended sediment source and age in catchments. These models are based on numerous assumptions, for example, that channel deposition of FRNs from precipitation is negligible in comparison to their delivery to the channel from land surface erosion during individual storm events. We test this assumption using a mass balance approach during eight storms from summer 2011 to fall 2012 in a mid‐Atlantic United States piedmont region watershed with mixed land use. Event peak discharge and storm type corresponded to the importance of direct channel FRN deposition from precipitation. During relatively low discharge summer thunderstorms, with minimal overland flow, less than 1% of 7Be and 210Pbxs flux deposited on the watershed exits the watershed associated with suspended sediment. The majority but not all deposited on the stream channel exits the watershed associated with suspended sediment (60% of 7Be and 80% of 210Pbxs). Here precipitation and throughfall onto the wetted channel area can be responsible for any FRN newly associated with suspended sediment, as opposed to landscape surface erosion. Furthermore, FRNs can be stored with sediments in the channel between events. Events with higher discharges, including hurricanes, show the opposite pattern—FRN flux associated with suspended sediment exported from the reach is greater than channel FRN wet deposition, suggesting net erosion from the watershed landscape and/or stored material during these types of storms.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017WR021684","usgsCitation":"Karwan, D., Pizzuto, J., Aalto, R., Marquard, J., Harpold, A., Skalak, K., Benthem, A.J., Levia, D., Siegert, C., and Aufdenkampe, A.K., 2018, Direct channel precipitation and storm type influence short-term fallout radionuclide assessment of sediment source: Water Resources Research, v. 54, no. 7, p. 4579-4594, https://doi.org/10.1029/2017WR021684.","productDescription":"16 p.","startPage":"4579","endPage":"4594","ipdsId":"IP-095612","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017wr021684","text":"Publisher Index Page"},{"id":356608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-06","publicationStatus":"PW","scienceBaseUri":"5b98a2afe4b0702d0e842fb3","contributors":{"authors":[{"text":"Karwan, Diana","contributorId":207114,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":742816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pizzuto, James","contributorId":207115,"corporation":false,"usgs":false,"family":"Pizzuto","given":"James","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":742817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aalto, Rolf","contributorId":207116,"corporation":false,"usgs":false,"family":"Aalto","given":"Rolf","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":742818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marquard, Julia","contributorId":207117,"corporation":false,"usgs":false,"family":"Marquard","given":"Julia","email":"","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":742819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harpold, Adrian","contributorId":207118,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":742820,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":742815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":742821,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Levia, Delphia","contributorId":207120,"corporation":false,"usgs":false,"family":"Levia","given":"Delphia","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":742822,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Siegert, Courtney","contributorId":207121,"corporation":false,"usgs":false,"family":"Siegert","given":"Courtney","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":742823,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aufdenkampe, Anthony K.","contributorId":207122,"corporation":false,"usgs":false,"family":"Aufdenkampe","given":"Anthony","email":"","middleInitial":"K.","affiliations":[{"id":37456,"text":"Stroud Water Research Center","active":true,"usgs":false}],"preferred":false,"id":742824,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70195861,"text":"ofr20181036 - 2018 - Toxicity assessment of sediments collected upstream and downstream from the White Dam in Clarke County, Georgia","interactions":[],"lastModifiedDate":"2024-03-04T18:55:44.717601","indexId":"ofr20181036","displayToPublicDate":"2018-06-06T08:45:00","publicationYear":"2018","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":"2018-1036","title":"Toxicity assessment of sediments collected upstream and downstream from the White Dam in Clarke County, Georgia","docAbstract":"The White Dam in Clarke County, Georgia, has been proposed for breaching. Efforts to determine potential risks to downstream biota included assessments of sediment collected in the vicinity of the dam. Sediments collected from sites upstream and downstream from the dam were evaluated for toxicity in 42-day exposures using the freshwater amphipod Hyalella azteca. Endpoints of the study were survival, growth, and reproduction of H. azteca. Results indicated no significant differences between the collected sediments and the water-only treatment used for comparison of the test endpoints. Therefore, based on the laboratory experiments in this study, sediment migration downstream from a breach of the Dam may not pose a toxicity risk to downstream biota.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181036","usgsCitation":"Lasier, P.J., 2018, Toxicity assessment of sediments collected upstream and downstream from the White Dam in Clarke County, Georgia: U.S. Geological Survey Open-File Report 2018–1036, 6 p., https://doi.org/10.3133/ofr20181036.","productDescription":"v, 6 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087278","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":354452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1036/coverthb.jpg"},{"id":354453,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1036/ofr20181036.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1036"}],"country":"United States","state":"Georgia","county":"Clarke County","otherGeospatial":"White Dam","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road, Ste 4039
Laurel, MD 20708
Sustaining the quality of the Nation’s water resources and the health of our diverse ecosystems depends on the availability of sound water-resources data and information to develop effective, science-based policies. Effective management of water resources also brings more certainty and efficiency to important economic sectors. Taken together, these actions lead to immediate and long-term economic, social, and environmental benefits that make a difference to the lives of the almost 400 million people projected to live in the United States by 2050.
In 1991, Congress established the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) to address where, when, why, and how the Nation’s water quality has changed, or is likely to change in the future, in response to human activities and natural factors. Since then, NAWQA has been a leading source of scientific data and knowledge used by national, regional, State, and local agencies to develop science-based policies and management strategies to improve and protect water resources used for drinking water, recreation, irrigation, energy development, and ecosystem needs (https://water.usgs.gov/nawqa/applications/). Plans for the third decade of NAWQA (2013–23) address priority water-quality issues and science needs identified by NAWQA stakeholders, such as the Advisory Committee on Water Information and the National Research Council, and are designed to meet increasing challenges related to population growth, increasing needs for clean water, and changing land-use and weather patterns.
Excess nutrients are a pervasive problem of streams, lakes, and coastal waters. The current report, “The Quality of Our Nation’s Waters—Understanding the Effects of Nutrients on Stream Ecosystems in Agricultural Landscapes,” presents a summary of results from USGS investigations conducted from 2003 to 2011 on processes that influence nutrients and how nutrient enrichment can alter biological components of agricultural streams. This study included collecting data from 232 sites distributed among eight study areas. This report summarizes findings on processes that influence nutrients and how nutrient enrichment can alter biological communities in agricultural streams. These findings are relevant to local, State, regional, and national decision-makers involved in efforts to (1) better understand the influence of nutrients on agricultural streams, (2) develop nutrient criteria for streams and rivers, (3) reduce nutrients to streams and downstream receiving waters, and (4) develop tools for tracking nutrient and biological conditions following nutrient reduction strategies. All NAWQA reports are available online at https://water.usgs.gov/nawqa/bib/.
We hope this publication will provide you with insights and information to meet your water-resource needs and will foster increased citizen awareness and involvement in the protection and restoration of our Nation’s waters. The information in this report is intended primarily for those interested or involved in resource management and protection, conservation, regulation, and policymaking at the regional and national levels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1437","collaboration":"National Water-Quality ProgramNational Water-Quality Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
We investigated the benthic foraminiferal faunal and stable carbon and oxygen isotopic composition of a 15-cm push core (NA075-092b) obtained on a Telepresence-Enabled cruise to the Southeast Seep on Kimki Ridge offshore southern California. The seep core was taken at a depth of 973 m in the vicinity of a Beggiatoa bacterial mat and vesicomyid clams (Calyptogena) and compared to previously published data of living assemblages from ~ 714 m, four reference cores obtained at ~ 1030 m, and another one at 739 m. All of the reference sites are also from the Inner Continental Borderland but with no evidence of methane seepage.
No endemic species were found at the seep site and most of the taxa recovered there have been reported previously from other seep or low oxygen environments. Q- and R-mode cluster analyses clearly illustrated differences in the faunal assemblages of the seep and non-seep sites. The living assemblage at Southeast Seep was characterized by abundant Takayanagia delicata, Cassidulina translucens, and Spiroplectammina biformis, whereas the non-seep San Pedro Basin reference assemblage was comprised primarily of Chilostomella oolina and Globobulimina pacifica. Density and species richness were lower at the seep site compared to the non-seep site, reflecting the harsher living conditions there. The dead assemblage at the seep site was dominated by Gyroidina turgida compared to Cassidulina translucens at the ~ 1030 m non-seep site and Cassidulina translucens, Pseudoparrella pacifica, and Takayanagia delicata at the 739 m non-seep site. Density was three times lower at Southeast Seep than at the non-seep sites of comparable water depth but species richness was ~ 30% higher. Stable carbon isotopic values were considerably depleted in the seep samples compared to the non-seep samples, with a progression from lightest to heaviest average δ13C values evident at the seep site reflecting microhabitat preference and vital effect: the deep infaunal species of Globobulimina, the shallow infaunal species Uvigerina peregrina, the epifaunal species Cibicidoides wuellerstorfi, and the shallow infaunal but aragonite-shelled species Hoeglundina elegans. The δ13C values downcore among each benthic species indicates ongoing fluid seepage through at least the last 3800 cal yr B.P. at Southeast Seep. Besides the continual local seepage, evidence from δ13C values of planktic foraminifera in the seep core suggest two pulses of methane (at 3000 and 3700 cal yr B.P.) were released that were large enough to influence much of the water column. Paired benthic and planktic foraminiferal stable oxygen isotope records provide evidence that there were no paleoenvironmental changes such as increased bottom-water temperature or changes in oxygen isotopic composition of bottom and pore waters during this 3800-year record to induce the methane releases. Instead, Southeast Seep appears to be the result of local faulting providing pathways for fluid to flow to the seafloor at a fault stepover or transpressional bend in the regional strike-slip system.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2018.01.011","usgsCitation":"McGann, M., and Conrad, J.E., 2018, Faunal and stable isotopic analyses of benthic foraminifera from the Southeast Seep on Kimki Ridge offshore southern California, USA: Deep Sea Research Part II: Topical Studies in Oceanography, v. 150, p. 92-117, https://doi.org/10.1016/j.dsr2.2018.01.011.","productDescription":"26 p.","startPage":"92","endPage":"117","ipdsId":"IP-091301","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2018.01.011","text":"Publisher Index Page"},{"id":354758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Kimki Ridge","volume":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e571e4b060350a15d16d","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":737319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":737320,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198092,"text":"70198092 - 2018 - Storm impacts on hydrodynamics and suspended-sediment fluxes in a microtidal back-barrier estuary","interactions":[],"lastModifiedDate":"2018-07-16T11:12:46","indexId":"70198092","displayToPublicDate":"2018-06-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Storm impacts on hydrodynamics and suspended-sediment fluxes in a microtidal back-barrier estuary","docAbstract":"Recent major storms have piqued interest in understanding the responses of estuarine hydrodynamics and sediment transport to these events. To that end, flow velocity, wave characteristics, and suspended-sediment concentration (SSC) were measured for 11 months at eight locations in Chincoteague Bay, MD/VA, USA, a shallow back-barrier estuary. Daily breezes and episodic storms generated sediment-resuspending waves and modified the flow velocity at all sites, which occupied channel, shoal, and sheltered-bay environments with different bed-sediment characteristics. Despite comparable SSC during calm periods, SSC at the channel locations was considerably greater than at the shoal sites during windy periods because of relatively more erodible bed sediment in the channels. Sediment fluxes were strongly wind modulated: within the bay’s main channel, depth-integrated unit-width sediment flux increased nonlinearly with increasing wind speed. When averaged over all sites, about 35% of the flux occurred during windy periods (wind speed greater than 6 m s−1 ), which represented just 15% of the deployment time. At channel sites, the net water and sediment fluxes were opposite to the direction of the wind forcing, while at shoal sites, the fluxes generally were aligned with the wind, implying complex channel– shoal dynamics. Yearly sediment fluxes exceed previous estimates of sediment delivery to the entirety of Chincoteague Bay. These observations illustrate the dynamic sedimentary processes occurring within microtidal back-barrier lagoons and highlight the importance of storm events in the hydrodynamics and overall sediment budgets of these systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2018.06.016","usgsCitation":"Nowacki, D.J., and Ganju, N., 2018, Storm impacts on hydrodynamics and suspended-sediment fluxes in a microtidal back-barrier estuary: Marine Geology, v. 404, p. 1-14, https://doi.org/10.1016/j.margeo.2018.06.016.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-089890","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2018.06.016","text":"Publisher Index Page"},{"id":355677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","city":"Ocean City","otherGeospatial":"Chincoteague Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.7012939453125,\n 37.95719224376526\n ],\n [\n -75.0091552734375,\n 37.95719224376526\n ],\n [\n -75.0091552734375,\n 38.460041065720446\n ],\n [\n -75.7012939453125,\n 38.460041065720446\n ],\n [\n -75.7012939453125,\n 37.95719224376526\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"404","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc431e4b0f5d57878ea1b","contributors":{"authors":[{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":739977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":149613,"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":739978,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197469,"text":"70197469 - 2018 - Warm water temperatures and shifts in seasonality increase trout recruitment but only moderately decrease adult size in western North American tailwaters","interactions":[],"lastModifiedDate":"2018-07-13T14:11:43","indexId":"70197469","displayToPublicDate":"2018-06-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Warm water temperatures and shifts in seasonality increase trout recruitment but only moderately decrease adult size in western North American tailwaters","docAbstract":"Dams throughout western North America have altered thermal regimes in rivers, creating cold, clear “tailwaters” in which trout populations thrive. Ongoing drought in the region has led to highly publicized reductions in reservoir storage and raised concerns about potential reductions in downstream flows. Large changes in riverine thermal regimes may also occur as reservoir water levels drop, yet this potential impact has received far less attention. We analyzed historic water temperature and fish population data to anticipate how trout may respond to future changes in the magnitude and seasonality of river temperatures. We found that summer temperatures were inversely related to reservoir water level, with warm temperatures associated with reduced storage and with dams operated as run-of-river units. Variation in rainbow trout (Oncorhynchus mykiss) recruitment was linked to water temperature variation, with a 5-fold increase in recruitment occurring at peak summer temperatures (18 °C vs. 7 °C) and a 2.5-fold increase in recruitment when peak temperatures occurred in summer rather than fall. Conversely, adult trout size was only moderately related to temperature. Rainbow and brown trout (Salmo trutta) size decreased by ~24 mm and 20 mm, respectively, as mean annual and peak summer temperatures increased. Further, rainbow trout size decreased by ~29 mm with an earlier onset of cold winter temperatures. While increased recruitment may be the more likely outcome of a warmer and drier climate, density-dependent growth constraints could exacerbate temperature-dependent growth reductions. As such, managers may consider implementing flows to reduce recruitment or altering infrastructure to maintain coldwater reservoir releases.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-018-0774-7","usgsCitation":"Dibble, K.L., Yackulic, C.B., and Kennedy, T.A., 2018, Warm water temperatures and shifts in seasonality increase trout recruitment but only moderately decrease adult size in western North American tailwaters: Environmental Biology of Fishes, v. 101, no. 8, p. 1269-1283, https://doi.org/10.1007/s10641-018-0774-7.","productDescription":"15 p.","startPage":"1269","endPage":"1283","ipdsId":"IP-077146","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437876,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72806SS","text":"USGS data release","linkHelpText":"The influence of water temperature on salmonid recruitment and adult size in tailwaters across western North America--Data"},{"id":354759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"101","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","scienceBaseUri":"5b46e572e4b060350a15d16f","contributors":{"authors":[{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":737315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":737316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629 tkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":167537,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":737317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187973,"text":"cir1433 - 2018 - Agriculture — A river runs through it — The connections between agriculture and water quality","interactions":[],"lastModifiedDate":"2018-06-07T09:54:07","indexId":"cir1433","displayToPublicDate":"2018-06-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1433","title":"Agriculture — A river runs through it — The connections between agriculture and water quality","docAbstract":"Sustaining the quality of the Nation’s water resources and the health of our diverse ecosystems depends on the availability of sound water-resources data and information to develop effective, science-based policies. Effective management of water resources also brings more certainty and efficiency to important economic sectors. Taken together, these actions lead to immediate and longterm economic, social, and environmental benefits that make a difference to the lives of the almost 400 million people projected to live in the United States by 2050.
In 1991, Congress established the U.S. Geological Survey National Water-Quality Assessment (NAWQA) to address where, when, why, and how the Nation’s water quality has changed, or is likely to change in the future, in response to human activities and natural factors. Since then, NAWQA has been a leading source of scientific data and knowledge used by national, regional, state, and local agencies to develop science-based policies and management strategies to improve and protect water resources used for drinking water, recreation, irrigation, energy development, and ecosystem needs. Plans for the third decade of NAWQA (2013–23) address priority water-quality issues and science needs identified by NAWQA stakeholders, such as the Advisory Committee on Water Information and the National Research Council, and are designed to meet increasing challenges related to population growth, increasing needs for clean water, and changing land-use and weather patterns.
This report is one of a series of publications, The Quality of Our Nation’s Waters, which describes major findings of the NAWQA Project on water-quality issues of regional and national concern and provides science-based information for assessing and managing the quality of our groundwater resources. Other reports in this series focus on occurrence and distribution of nutrients, pesticides, and volatile organic compounds in streams and groundwater, the effects of contaminants and stream-flow alteration on the condition of aquatic communities in streams, and on the quality of groundwater from private domestic and public supply wells. Each reports builds toward a more comprehensive understanding of the quality of regional and national water resources. All NAWQA reports are available online (https://water.usgs.gov/nawqa/bib/).
We hope this publication will provide you with insights and information to meet your water-resource needs and will foster increased citizen awareness and involvement in the protection and restoration of our Nation’s waters. The information in this report is intended primarily for those interested or involved in resource management and protection, conservation, regulation, and policymaking at the regional and national levels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1433","collaboration":"National Water-Quality ProgramNational Water-Quality Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
This paper uses chemical and physical data from a large 2017 U.S. Geological Surveygroundwater dataset with wells in the U.S. and three smaller international groundwater datasets with wells primarily in Australia and Spain to carry out a comprehensive investigation of brackish groundwater composition in relation to minimum desalinationenergy costs. First, we compute the site-specific least work required for groundwater desalination. Least work of separation represents a baseline for specific energy consumptionof desalination systems. We develop simplified equations based on the U.S. data for least work as a function of water recovery ratio and a proxy variable for composition, either total dissolved solids, specific conductance, molality or ionic strength. We show that the U.S. correlations for total dissolved solids and molality may be applied to the international datasets. We find that total molality can be used to calculate the least work of dilute solutions with very high accuracy. Then, we examine the effects of groundwater solute composition on minimum energy requirements, showing that separation requirements increase from calcium to sodium for cations and from sulfate to bicarbonate to chloride for anions, for any given TDS concentration. We study the geographic distribution of least work, total dissolved solids, and major ions concentration across the U.S. We determine areas with both low least work and high water stress in order to highlight regions holding potential for desalination to decrease the disparity between high water demand and low water supply. Finally, we discuss the implications of the USGS results on water resource planning, by comparing least work to the specific energy consumption of brackish water reverse osmosisplants and showing the scaling propensity of major electrolytes and silica in the U.S. groundwater samples.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2018.04.015","usgsCitation":"Ahdab, Y.D., Thiel, G.P., Bohlke, J., Stanton, J.S., and Lienhard, J.H., 2018, Minimum energy requirements for desalination of brackish groundwater in the United States with comparison to international datasets: Water Research, v. 141, p. 387-404, https://doi.org/10.1016/j.watres.2018.04.015.","productDescription":"18 p.","startPage":"387","endPage":"404","ipdsId":"IP-091074","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2018.04.015","text":"Publisher Index Page"},{"id":354757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e571e4b060350a15d16b","contributors":{"authors":[{"text":"Ahdab, Yvana D.","contributorId":205444,"corporation":false,"usgs":false,"family":"Ahdab","given":"Yvana","email":"","middleInitial":"D.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":737325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiel, Gregory P.","contributorId":205445,"corporation":false,"usgs":false,"family":"Thiel","given":"Gregory","email":"","middleInitial":"P.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":737326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":737324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lienhard, John H.","contributorId":205447,"corporation":false,"usgs":false,"family":"Lienhard","given":"John","email":"","middleInitial":"H.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":737328,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198073,"text":"70198073 - 2018 - Fish-habitat relationships along the estuarine gradient of the Sacramento-San Joaquin Delta, California: Implications for habitat restoration","interactions":[],"lastModifiedDate":"2018-10-23T17:00:50","indexId":"70198073","displayToPublicDate":"2018-06-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Fish-habitat relationships along the estuarine gradient of the Sacramento-San Joaquin Delta, California: Implications for habitat restoration","docAbstract":"Estuaries are highly variable environments where fish are subjected to a diverse suite of habitat features (e.g., water quality gradients, physical structure) that filter local assemblages from a broader, regional species pool. Tidal, climatological, and oceanographic phenomena drive water quality gradients and, ultimately, expose individuals to other habitat features (e.g., stationary physical or biological elements, such as bathymetry or vegetation). Relationships between fish abundances, water quality gradients, and other habitat features in the Sacramento-San Joaquin Delta were examined as a case example to learn how habitat features serve as filters to structure local assemblages in large river-dominated estuaries. Fish communities were sampled in four tidal lakes along the estuarine gradient during summer-fall 2010 and 2011 and relationships with habitat features explored using ordination and generalized linear mixed models (GLMMs). Based on ordination results, landscape-level gradients in salinity, turbidity, and elevation were associated with distinct fish assemblages among tidal lakes. Native fishes were associated with increased salinity and turbidity, and decreased elevation. Within tidal lakes, GLMM results demonstrated that submersed aquatic vegetation density was the dominant driver of individual fish species densities. Both native and non-native species were associated with submersed aquatic vegetation, although native and non-native fish populations only minimally overlapped. These results help to provide a framework for predicting fish species assemblages in novel or changing habitats as they indicate that species assemblages are driven by a combination of location within the estuarine gradient and site-specific habitat features.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0417-4","usgsCitation":"Young, M.J., Feyrer, F.V., Colombano, D.D., Conrad, J.L., and Sih, A., 2018, Fish-habitat relationships along the estuarine gradient of the Sacramento-San Joaquin Delta, California: Implications for habitat restoration: Estuaries and Coasts, v. 41, no. 8, p. 2389-2409, https://doi.org/10.1007/s12237-018-0417-4.","productDescription":"21 p.","startPage":"2389","endPage":"2409","ipdsId":"IP-083608","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-018-0417-4","text":"Publisher Index Page"},{"id":355660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Unites States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.33,\n 37.82\n ],\n [\n -121.33,\n 38.5\n ],\n [\n -121.9167,\n 38.5\n ],\n [\n -121.9167,\n 37.82\n ],\n [\n -121.33,\n 37.82\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-06","publicationStatus":"PW","scienceBaseUri":"5b6fc431e4b0f5d57878ea1d","contributors":{"authors":[{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colombano, Denise D.","contributorId":206256,"corporation":false,"usgs":false,"family":"Colombano","given":"Denise","email":"","middleInitial":"D.","affiliations":[{"id":37294,"text":"Center for Watershed Sciences; Wildlife, Fish & Conservation Biology; University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":739908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, J. Louise","contributorId":196880,"corporation":false,"usgs":false,"family":"Conrad","given":"J.","email":"","middleInitial":"Louise","affiliations":[],"preferred":false,"id":739909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sih, Andrew","contributorId":177597,"corporation":false,"usgs":false,"family":"Sih","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":739910,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199102,"text":"70199102 - 2018 - Columbia River Basin dreissenid mussel monitoring forum workshop","interactions":[],"lastModifiedDate":"2018-09-25T15:00:01","indexId":"70199102","displayToPublicDate":"2018-06-05T12:25:40","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Columbia River Basin dreissenid mussel monitoring forum workshop","docAbstract":"To address actions identified in the Department of Interior’s “Safeguarding the West” strategy, the Pacific States Marine Fisheries Commission (PSMFC) and US Geological Survey (USGS) convened 43 invasive species coordinators and scientific experts June 5-6, 2018 in Portland, Oregon to assess the status of dreissenid monitoring efforts in the Columbia River Basin (CRB); identify key strengths and weaknesses of existing collaborative efforts to monitor for dreissenids; identify priority monitoring gaps foundational to dreissenid prevention efforts; and achieve consensus on a set of strategies to address those gaps and maintain a strong monitoring collaborative and framework moving forward. Prior to the workshop, two webinars were conducted to summarize how states and provinces are estimating and using metrics that describe dreissenid mussel introduction (i.e., the risk of mussels being introduced into a waterbody) and establishment (i.e., the risk of a mussel population becoming established after an introduction event).
The goal of the webinars was to provide context to discussions at the Columbia River Basin Dreissenid Mussel Monitoring Forum.
As part of the webinars expert practitioners, gave presentations that summarized the origins and basis for metrics typically used to characterize invasive species invasion risk. During the first webinar which was held on May 7, 2018, Dr. Bob McMahon, University of Texas at Arlington gave a presentation discussing factors affecting the establishment of dreissenid mussels. During the second webinar which was held on May 30, 2018, Samuel Fischer and Mark Lewis from the University of Alberta presented information on factors affecting the introduction of mussels.
Presentations at the workshop were given to update participants on the status of dreissenid mussel monitoring in the Columbia River Basin. Staff from the US Army Corps of Engineers (ACOE), Bureau of Reclamation (BOR), USGS, Bureau of Indian Affairs (BIA), and National Park Service (NPS) gave presentations that described the status of dreissenid mussel monitoring efforts conducted by federal agencies. Participants also heard presentations on the status of other monitoring related efforts. Representatives from the Western Regional Panel and Montana Fish Wildlife and Parks (MFWP) presented information about method and protocol standardization coordination activities. Staff from the British Columbia Ministry of Environment and Climate Change Strategy also presented an update on their sampling and resource allocation protocols.
The USGS then presented an overview of the evolution and status of dreissenid mussel monitoring in the CRB as well as summary of the results of webinars that addressed facets of dreissenid mussel introduction and establishment risk estimation. To facilitate learning from ongoing efforts that address similar invasive species coordination, monitoring, and research activities, Kelly Baerwaldt, US Fish and Wildlife Service (USFWS) presented remotely on the activities of the Asian Carp Coordinating Committee, informing workshop participants of the how the effort formed and is funded, priority goals and activities, as well as key successes and challenges.
The meeting culminated with workshop attendees participating in four breakout groups (risk assessment and research, data/lab analysis, monitoring/coordination, and funding) to identify priority key gaps or weaknesses to existing monitoring/coordination efforts as well as identify priority actions or strategies could help address those gaps or weaknesses. The recommended priority actions from each breakout group were compiled into one overall recommendation to build on existing strengths and address weaknesses associated with monitoring for dreissenids in the Columbia River Basin: Using existing infrastructure and datasets, develop a transboundary, interagency, adaptive, coordinated, regional monitoring framework/partnership to ensure optimal resource allocation.
","conferenceTitle":"Columbia River Basin Dreissenid Mussel Monitoring Form Workshop.","conferenceDate":"June 5-6, 2018 i","conferenceLocation":"Portland, Oregon ","language":"English","publisher":"Aquatic Invasive Species Network. ","usgsCitation":"DeBruyckere, L., Counihan, T., and Phillips, S., 2018, Columbia River Basin dreissenid mussel monitoring forum workshop, Columbia River Basin Dreissenid Mussel Monitoring Form Workshop., Portland, Oregon , June 5-6, 2018 i, p. 1-18.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-100594","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":357716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357715,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.westernais.org/monitoring"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fe4e4b0fc368eb5399b","contributors":{"authors":[{"text":"DeBruyckere, Lisa","contributorId":207531,"corporation":false,"usgs":false,"family":"DeBruyckere","given":"Lisa","email":"","affiliations":[{"id":37555,"text":"Creative Resource Strategies, LLC","active":true,"usgs":false}],"preferred":false,"id":744086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":744087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Stephen","contributorId":156280,"corporation":false,"usgs":false,"family":"Phillips","given":"Stephen","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":744088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197462,"text":"70197462 - 2018 - Limited hatchery introgression into wild brook trout (Salvelinus fontinalis) populations despite reoccurring stocking","interactions":[],"lastModifiedDate":"2018-10-12T16:05:27","indexId":"70197462","displayToPublicDate":"2018-06-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Limited hatchery introgression into wild brook trout (Salvelinus fontinalis) populations despite reoccurring stocking","title":"Limited hatchery introgression into wild brook trout (Salvelinus fontinalis) populations despite reoccurring stocking","docAbstract":"Due to increased anthropogenic pressures on many fish populations, supplementing wild populations with captive‐raised individuals has become an increasingly common management practice. Stocking programs can be controversial due to uncertainty about the long‐term fitness effects of genetic introgression on wild populations. In particular, introgression between hatchery and wild individuals can cause declines in wild population fitness, resiliency, and adaptive potential, and contribute to local population extirpation. However, low survival and fitness of captive‐raised individuals can minimize the long‐term genetic consequences of stocking in wild populations, and to date the prevalence of introgression in actively stocked ecosystems has not been rigorously evaluated. We quantified the extent of introgression in 30 populations of wild brook trout (Salvelinus fontinalis) in a Pennsylvania watershed, and examined the correlation between introgression and 11 environmental covariates. Genetic assignment tests were used to determine the origin (wild vs. captive‐raised) for 1742 wild‐caught and 300 hatchery brook trout. To avoid assignment biases, individuals were assigned to two simulated populations that represented the average allele frequencies in wild and hatchery groups. Fish with intermediate probabilities of wild ancestry were classified as introgressed, with threshold values determined through simulation. Even with reoccurring stocking at most sites, over 93% of wild‐caught individuals probabilistically assigned to wild origin, and only 5.6% of wild‐caught fish assigned to introgressed. Models examining environmental drivers of introgression explained less than 3% of the among‐population variability, and all estimated effects were highly uncertain. This was not surprising given overall low introgression observed in this study. Our results suggest that introgression of hatchery‐derived genotypes can occur at low rates, even in actively stocked ecosystems and across a range of habitats. However, a cautious approach to stocking may still be warranted, as the potential effects of stocking on wild population fitness and the mechanisms limiting introgression are not known.
","language":"English","publisher":"Wiley","doi":"10.1111/eva.12646","usgsCitation":"White, S.L., Miller, W.L., Dowell, S.A., Bartron, M.L., and Wagner, T., 2018, Limited hatchery introgression into wild brook trout (Salvelinus fontinalis) populations despite reoccurring stocking: Evolutionary Applications, v. 11, no. 9, p. 1567-1581, https://doi.org/10.1111/eva.12646.","productDescription":"15 p.","startPage":"1567","endPage":"1581","ipdsId":"IP-094344","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12646","text":"Publisher Index Page"},{"id":354729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-14","publicationStatus":"PW","scienceBaseUri":"5b46e573e4b060350a15d177","contributors":{"authors":[{"text":"White, Shannon L.","contributorId":205430,"corporation":false,"usgs":false,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":737273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, William L.","contributorId":200356,"corporation":false,"usgs":false,"family":"Miller","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":737274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dowell, Stephanie A.","contributorId":205431,"corporation":false,"usgs":false,"family":"Dowell","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":737275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":737276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737272,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197447,"text":"70197447 - 2018 - Ichthyophonus in sport-caught groundfishes from southcentral Alaska","interactions":[],"lastModifiedDate":"2018-06-05T10:23:29","indexId":"70197447","displayToPublicDate":"2018-06-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ichthyophonus in sport-caught groundfishes from southcentral Alaska","title":"Ichthyophonus in sport-caught groundfishes from southcentral Alaska","docAbstract":"This report of Ichthyophonus in common sport-caught fishes throughout the marine waters of southcentral Alaska represents the first documentation of natural Ichthyophonus infections in lingcod Ophiodon elongates and yelloweye rockfish Sebastes ruberrimus. In addition, the known geographic range of Ichthyophonus in black rockfish S. melanops has been expanded northward to include southcentral Alaska. Among all species surveyed, the infection prevalence was highest (35%, n = 334) in Pacific halibut Hippoglossus stenolepis. There were no gross indications of high-level infections or clinically diseased individuals. These results support the hypothesis that under typical conditions Ichthyophonus can occur at high infection prevalence accompanied with low-level infection among a variety of fishes throughout the eastern North Pacific Ocean, including southcentral Alaska.
","language":"English","publisher":"Inter-Research","doi":"10.3354/dao03218","usgsCitation":"Harris, B.P., Webster, S., Wolf, N., Gregg, J.L., and Hershberger, P., 2018, Ichthyophonus in sport-caught groundfishes from southcentral Alaska: Diseases of Aquatic Organisms, v. 128, no. 2, p. 169-173, https://doi.org/10.3354/dao03218.","productDescription":"5 p.","startPage":"169","endPage":"173","ipdsId":"IP-086885","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468684,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03218","text":"Publisher Index Page"},{"id":354715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152,\n 59\n ],\n [\n -145,\n 59\n ],\n [\n -145,\n 61.5\n ],\n [\n -152,\n 61.5\n ],\n [\n -152,\n 59\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"128","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e574e4b060350a15d185","contributors":{"authors":[{"text":"Harris, Bradley P.","contributorId":205407,"corporation":false,"usgs":false,"family":"Harris","given":"Bradley","email":"","middleInitial":"P.","affiliations":[{"id":37100,"text":"Alaska Pacific University, Fisheries Aquatic Science and Technology (FAST) Laboratory 4101 University Drive, Anchorage, AK 99508","active":true,"usgs":false}],"preferred":false,"id":737189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webster, Sarah R.","contributorId":205408,"corporation":false,"usgs":false,"family":"Webster","given":"Sarah R.","affiliations":[{"id":37100,"text":"Alaska Pacific University, Fisheries Aquatic Science and Technology (FAST) Laboratory 4101 University Drive, Anchorage, AK 99508","active":true,"usgs":false}],"preferred":false,"id":737190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Nathan","contributorId":205409,"corporation":false,"usgs":false,"family":"Wolf","given":"Nathan","affiliations":[{"id":37100,"text":"Alaska Pacific University, Fisheries Aquatic Science and Technology (FAST) Laboratory 4101 University Drive, Anchorage, AK 99508","active":true,"usgs":false}],"preferred":false,"id":737191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197448,"text":"70197448 - 2018 - Extreme drought alters frequency and reproductive success of floaters in Willow Flycatchers","interactions":[],"lastModifiedDate":"2018-06-05T10:26:45","indexId":"70197448","displayToPublicDate":"2018-06-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Extreme drought alters frequency and reproductive success of floaters in Willow Flycatchers","docAbstract":"Changes in habitat quality, including those caused by extreme events like droughts and floods, could alter costs and benefits of territoriality and thereby the prevalence and reproductive consequences for individuals capable of breeding that do not do so (floaters). We studied floating behavior in a population of Southwestern Willow Flycatchers (Empidonax traillii extimus) in central Arizona during one year of extreme drought, one year of lake inundation, and three years of near average precipitation. In all years, most floaters were second year (SY) males, and most subsequently settled outside of the patch where they were detected in the floating year, suggesting that floaters did not “queue” at high-quality territories in order to achieve higher reproductive success in subsequent years. Instead, cohorts that floated in non-drought years had lower apparent survival and lower reproductive success compared to territorial birds. In the extreme drought year, however, the number of floaters was 1.5 times greater than in all other years combined, more females floated, and apparent survival and mean annual productivity in subsequent years was higher for males that floated in that year than for those that were territorial. Inundation of habitat due to rising reservoir levels did not result in an increase in floaters because many birds nested in inundated areas where trees projected above the water so that the relative amount of available habitat was not reduced to the extent habitat models predicted. Overall, our results indicate that the prevalence and reproductive and demographic consequences of floating can change under extreme climatic events like severe drought.
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-17-206.1","usgsCitation":"Theimer, T., Sogge, M.K., Cardinal, S.N., Durst, S.L., and Paxton, E., 2018, Extreme drought alters frequency and reproductive success of floaters in Willow Flycatchers: The Auk, v. 135, no. 3, p. 647-656, https://doi.org/10.1642/AUK-17-206.1.","productDescription":"10 p.","startPage":"647","endPage":"656","ipdsId":"IP-080040","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":468687,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1642/AUK-17-206.1","text":"External Repository"},{"id":354716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e574e4b060350a15d183","contributors":{"authors":[{"text":"Theimer, Tad","contributorId":191914,"corporation":false,"usgs":false,"family":"Theimer","given":"Tad","affiliations":[],"preferred":false,"id":737194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sogge, Mark K. 0000-0002-8337-5689 mark_sogge@usgs.gov","orcid":"https://orcid.org/0000-0002-8337-5689","contributorId":3710,"corporation":false,"usgs":true,"family":"Sogge","given":"Mark","email":"mark_sogge@usgs.gov","middleInitial":"K.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":737195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardinal, Suzanne N.","contributorId":205410,"corporation":false,"usgs":false,"family":"Cardinal","given":"Suzanne","email":"","middleInitial":"N.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":737196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durst, Scott L.","contributorId":196155,"corporation":false,"usgs":false,"family":"Durst","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":737197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":737193,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197457,"text":"70197457 - 2018 - Groundwater flux estimation in streams: A thermal equilibrium approach","interactions":[],"lastModifiedDate":"2018-06-05T11:11:51","indexId":"70197457","displayToPublicDate":"2018-06-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater flux estimation in streams: A thermal equilibrium approach","docAbstract":"Stream and groundwater interactions play an essential role in regulating flow, temperature, and water quality for stream ecosystems. Temperature gradients have been used to quantify vertical water movement in the streambed since the 1960s, but advancements in thermal methods are still possible. Seepage runs are a method commonly used to quantify exchange rates through a series of streamflow measurements but can be labor and time intensive. The objective of this study was to develop and evaluate a thermal equilibrium method as a technique for quantifying groundwater flux using monitored stream water temperature at a single point and readily available hydrological and atmospheric data. Our primary assumption was that stream water temperature at the monitored point was at thermal equilibrium with the combination of all heat transfer processes, including mixing with groundwater. By expanding the monitored stream point into a hypothetical, horizontal one-dimensional thermal modeling domain, we were able to simulate the thermal equilibrium achieved with known atmospheric variables at the point and quantify unknown groundwater flux by calibrating the model to the resulting temperature signature. Stream water temperatures were monitored at single points at nine streams in the Ozark Highland ecoregion and five reaches of the Kiamichi River to estimate groundwater fluxes using the thermal equilibrium method. When validated by comparison with seepage runs performed at the same time and reach, estimates from the two methods agreed with each other with an R2 of 0.94, a root mean squared error (RMSE) of 0.08 (m/d) and a Nash–Sutcliffe efficiency (NSE) of 0.93. In conclusion, the thermal equilibrium method was a suitable technique for quantifying groundwater flux with minimal cost and simple field installation given that suitable atmospheric and hydrological data were readily available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.04.001","usgsCitation":"Zhou, Y., Fox, G.A., Miller, R.B., Mollenhauer, R., and Brewer, S.K., 2018, Groundwater flux estimation in streams: A thermal equilibrium approach: Journal of Hydrology, v. 561, p. 822-832, https://doi.org/10.1016/j.jhydrol.2018.04.001.","productDescription":"11 p.","startPage":"822","endPage":"832","ipdsId":"IP-091649","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2018.04.001","text":"Publisher Index Page"},{"id":354724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Kiamichi River, Ozark Highland Ecoregin","volume":"561","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e573e4b060350a15d17b","contributors":{"authors":[{"text":"Zhou, Yan","contributorId":205427,"corporation":false,"usgs":false,"family":"Zhou","given":"Yan","email":"","affiliations":[],"preferred":false,"id":737268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fox, Garey A.","contributorId":205428,"corporation":false,"usgs":false,"family":"Fox","given":"Garey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Ron B.","contributorId":205429,"corporation":false,"usgs":false,"family":"Miller","given":"Ron","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":737270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mollenhauer, Robert","contributorId":205275,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":737271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":737239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197439,"text":"70197439 - 2018 - Small values in big data: The continuing need for appropriate metadata","interactions":[],"lastModifiedDate":"2018-06-05T10:00:21","indexId":"70197439","displayToPublicDate":"2018-06-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Small values in big data: The continuing need for appropriate metadata","docAbstract":"Compiling data from disparate sources to address pressing ecological issues is increasingly common. Many ecological datasets contain left-censored data – observations below an analytical detection limit. Studies from single and typically small datasets show that common approaches for handling censored data — e.g., deletion or substituting fixed values — result in systematic biases. However, no studies have explored the degree to which the documentation and presence of censored data influence outcomes from large, multi-sourced datasets. We describe left-censored data in a lake water quality database assembled from 74 sources and illustrate the challenges of dealing with small values in big data, including detection limits that are absent, range widely, and show trends over time. We show that substitutions of censored data can also bias analyses using ‘big data’ datasets, that censored data can be effectively handled with modern quantitative approaches, but that such approaches rely on accurate metadata that describe treatment of censored data from each source.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2018.03.002","usgsCitation":"Stow, C.A., Webster, K.E., Wagner, T., Lottig, N.R., Soranno, P.A., and Cha, Y., 2018, Small values in big data: The continuing need for appropriate metadata: Ecological Informatics, v. 45, p. 26-30, https://doi.org/10.1016/j.ecoinf.2018.03.002.","productDescription":"5 p.","startPage":"26","endPage":"30","ipdsId":"IP-087729","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468788,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2018.03.002","text":"Publisher Index Page"},{"id":354712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e574e4b060350a15d189","contributors":{"authors":[{"text":"Stow, Craig A.","contributorId":204103,"corporation":false,"usgs":false,"family":"Stow","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":36843,"text":"NOAA, Great Lakes Environmental Research Lab","active":true,"usgs":false}],"preferred":false,"id":737218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":737219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":737220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cha, YoonKyung","contributorId":9741,"corporation":false,"usgs":true,"family":"Cha","given":"YoonKyung","email":"","affiliations":[],"preferred":false,"id":737222,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202768,"text":"70202768 - 2018 - Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system","interactions":[],"lastModifiedDate":"2019-03-26T10:18:32","indexId":"70202768","displayToPublicDate":"2018-06-01T16:27:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system","docAbstract":"Cropland fallows are the next best-bet for intensification and extensification, leading to increased food production and adding to the nutritional basket. The agronomical suitability of these lands can decide the extent of usage of these lands. Myanmar’s agricultural land (over 13.8 Mha) has the potential to expand by another 50% into additional fallow areas. These areas may be used to grow short-duration pulses, which are economically important and nutritionally rich, and constitute the diets of millions of people as well as provide an important source of livestock feed throughout Asia. Intensifying rice fallows will not only improve the productivity of the land but also increase the income of the smallholder farmers. The enhanced cultivation of pulses will help improve nutritional security in Myanmar and also help conserve natural resources and reduce environmental degradation. The objectives of this study was to use remote sensing methods to identify croplands in Myanmar and cropland fallow areas in two important agro-ecological regions, delta and coastal region and the dry zone. The study used moderate-resolution imaging spectroradiometer (MODIS) 250-m, 16-day normalized difference vegetation index (NDVI) maximum value composite (MVC), and land surface water index (LSWI) for one 1 year (1 June 2012–31 May 2013) along with seasonal field-plot level information and spectral matching techniques to derive croplands versus cropland fallows for each of the three seasons: the monsoon period between June and October; winter period between November and February; and summer period between March and May. The study showed that Myanmar had total net cropland area (TNCA) of 13.8 Mha. Cropland fallows during the monsoon season account for a meagre 2.4% of TNCA. However, in the winter season, 56.5% of TNCA (or 7.8 Mha) were classified as cropland fallows and during the summer season, 82.7% of TNCA (11.4 Mha) were cropland fallows. The producer’s accuracy of the cropland fallow class varied between 92 and 98% (errors of omission of 2 to 8%) and user’s accuracy varied between 82 and 92% (errors of commission of 8 to 18%) for winter and summer, respectively. Overall, the study estimated 19.2 Mha cropland fallows from the two major seasons (winter and summer). Out of this, 10.08 Mha has sufficient moisture (either from rainfall or stored soil water content) to grow short-season pulse crops. This potential with an estimated income of US\\$ 300 per hectare, if exploited sustainably, is estimated to bring an additional net income of about US\\$ 1.5 billion to Myanmar per year if at least half (5.04 Mha) of the total cropland fallows (10.08 Mha) is covered with short season pulses.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15481603.2018.1482855","usgsCitation":"Gumma, M.K., Thenkabail, P.S., Deevi, K.C., Mohammed, I.A., Teluguntla, P., Oliphant, A., Xiong, J., Aye, T., and Whittbread, A.M., 2018, Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system: GIScience and Remote Sensing, v. 55, no. 6, p. 926-949, https://doi.org/10.1080/15481603.2018.1482855.","productDescription":"24 p.","startPage":"926","endPage":"949","ipdsId":"IP-090232","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468691,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/af467f4589c54fb88c59701ee82b602f","text":"External 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Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":759906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":759905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiong, Jun 0000-0002-2320-0780 jxiong@usgs.gov","orcid":"https://orcid.org/0000-0002-2320-0780","contributorId":5276,"corporation":false,"usgs":true,"family":"Xiong","given":"Jun","email":"jxiong@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":759925,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aye, 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rehabilitation","interactions":[],"lastModifiedDate":"2019-01-30T15:51:06","indexId":"70196185","displayToPublicDate":"2018-06-01T15:50:58","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movement patterns of California brown pelicans (Pelecanus occidentalis californicus) following oiling and rehabilitation","title":"Movement patterns of California brown pelicans (Pelecanus occidentalis californicus) following oiling and rehabilitation","docAbstract":"Direct mortality of wildlife is generally used to quantify the damage caused by pollution events. However, free-ranging wildlife that survive initial exposure to pollutants may also experience long-term consequences. Individuals that are rehabilitated following oil exposure have a known history of oiling and provide a useful study population for understanding behavior following pollution events. We GPS-tracked 12 rehabilitated brown pelicans and compared their movements to those of eight non-oiled, non-rehabilitated controls over 87–707 (mean = 271) days. Rehabilitated pelicans traveled farther, spent more time in long-distance movements, and occupied more productive waters than controls. These differences were more apparent among females than males. Rehabilitated pelicans also visited breeding colonies and nest sites at lower rates than controls. Our results indicate that, although rehabilitated pelicans undertake long-distance movements, they may display increased dispersion and reduced breeding investment, particularly among females. Such behavioral changes could have long-term effects on populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2018.03.043","usgsCitation":"Lamb, J.S., Fiorello, C., Satge, Y.G., Mills, K., Ziccardi, M., and Jodice, P.G., 2018, Movement patterns of California brown pelicans (Pelecanus occidentalis californicus) following oiling and rehabilitation: Marine Pollution Bulletin, v. 131, no. Part A, p. 22-31, https://doi.org/10.1016/j.marpolbul.2018.03.043.","productDescription":"10 p.","startPage":"22","endPage":"31","ipdsId":"IP-093251","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":360843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"Part A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, J. S.","contributorId":212005,"corporation":false,"usgs":false,"family":"Lamb","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":755465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiorello, C. V.","contributorId":212006,"corporation":false,"usgs":false,"family":"Fiorello","given":"C. V.","affiliations":[],"preferred":false,"id":755466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Satge, Yvan G.","contributorId":200132,"corporation":false,"usgs":false,"family":"Satge","given":"Yvan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":755467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, K.","contributorId":37036,"corporation":false,"usgs":true,"family":"Mills","given":"K.","affiliations":[],"preferred":false,"id":755468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ziccardi, M.","contributorId":212007,"corporation":false,"usgs":false,"family":"Ziccardi","given":"M.","affiliations":[],"preferred":false,"id":755469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":731566,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199947,"text":"70199947 - 2018 - Automated extraction of surface water extent from Sentinel-1 data","interactions":[],"lastModifiedDate":"2018-10-05T14:32:53","indexId":"70199947","displayToPublicDate":"2018-06-01T14:32:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Automated extraction of surface water extent from Sentinel-1 data","docAbstract":"Accurately quantifying surface water extent in wetlands is critical to understanding their role in ecosystem processes. However, current regional- to global-scale surface water products lack the spatial or temporal resolution necessary to characterize heterogeneous or variable wetlands. Here, we proposed a fully automatic classification tree approach to classify surface water extent using Sentinel-1 synthetic aperture radar (SAR) data and training datasets derived from prior class masks. Prior classes of water and non-water were generated from the Shuttle Radar Topography Mission (SRTM) water body dataset (SWBD) or composited dynamic surface water extent (cDSWE) class probabilities. Classification maps of water and non-water were derived over two distinct wetlandscapes: the Delmarva Peninsula and the Prairie Pothole Region. Overall classification accuracy ranged from 79% to 93% when compared to high-resolution images in the Prairie Pothole Region site. Using cDSWE class probabilities reduced omission errors among water bodies by 10% and commission errors among non-water class by 4% when compared with results generated by using the SWBD water mask. These findings indicate that including prior water masks that reflect the dynamics in surface water extent (i.e., cDSWE) is important for the accurate mapping of water bodies using SAR data.
","language":"English","publisher":"MDPI","doi":"10.3390/rs10050797","usgsCitation":"Huang, W., DeVries, B., Huang, C., Lang, M.W., Jones, J., Creed, I., and Carroll, M.L., 2018, Automated extraction of surface water extent from Sentinel-1 data: Remote Sensing, v. 10, no. 5, p. 1-18, https://doi.org/10.3390/rs10050797.","productDescription":"Article 797; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-095856","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs10050797","text":"Publisher Index Page"},{"id":358186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-21","publicationStatus":"PW","scienceBaseUri":"5bc02fe4e4b0fc368eb5399d","contributors":{"authors":[{"text":"Huang, Wenli 0000-0001-9608-1690","orcid":"https://orcid.org/0000-0001-9608-1690","contributorId":198973,"corporation":false,"usgs":false,"family":"Huang","given":"Wenli","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":747418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeVries, Ben 0000-0003-2136-3401","orcid":"https://orcid.org/0000-0003-2136-3401","contributorId":198971,"corporation":false,"usgs":false,"family":"DeVries","given":"Ben","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":747419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":747420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Megan W.","contributorId":196284,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":747421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":747417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":747422,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carroll, Mark L.","contributorId":145826,"corporation":false,"usgs":false,"family":"Carroll","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":16247,"text":"Sigma Space Corp, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false},{"id":16246,"text":"Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false},{"id":7239,"text":"Science Systems and Applications, Inc.","active":true,"usgs":false}],"preferred":false,"id":747423,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70200776,"text":"70200776 - 2018 - Cumulative spring discharge and survey effort influence occupancy and detection of a threatened freshwater mussel, the Suwannee Moccasinshell","interactions":[],"lastModifiedDate":"2018-10-31T14:24:23","indexId":"70200776","displayToPublicDate":"2018-06-01T14:24:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Cumulative spring discharge and survey effort influence occupancy and detection of a threatened freshwater mussel, the Suwannee Moccasinshell","docAbstract":"Freshwater mussels (Unionidae) are among the most imperiled groups of organisms in the world, and the lack of information regarding species distributions, life-history characteristics, and ecological and biological requirements may limit the protection of remaining mussel populations. We examined the influence of hydrologic factors on the occurrence of the Suwannee Moccasinshell Medionidus walkeri, a federally threatened freshwater mussel species, endemic to the Suwannee River Basin in Georgia and Florida. We also evaluated the influence of survey effort on detection of Suwannee Moccasinshell during field surveys. We compiled all recent (2013–2016) mussel survey records in the Suwannee River Basin. We calculated cumulative discharge contributed by upstream springs for each of 220 survey locations. We combined the spring discharge predictor variable with Suwannee Moccasinshell detection and nondetection data from each survey location to develop a suite of occupancy models. Modeling results indicated that detection of Suwannee Moccasinshell during surveys was strongly and positively related to survey effort. Modeling results also indicated that sites with cumulative spring discharge inputs exceeding ∼28 cubic meters per second were most likely (i.e., predicted occupancy probabilities >0.5) to support Suwannee Moccasinshell populations. However, occupancy declined in the lowermost reaches of the Suwannee mainstem despite high spring discharge inputs, presumably due to greater tidal influences and differences in physicochemical habitat conditions. Historical localities where Suwannee Moccasinshell has presumably been extirpated are all devoid of springs in their upstream watersheds. We hypothesize that springs may buffer extremely tannic, and at times polluted, surface waters, in addition to maintaining adequate flows during periods of drought, thereby promoting the persistence of Suwannee Moccasinshell populations. Our study suggests that springs are a critical resource for Suwannee Moccasinshell and may be more important for conservation planning than was previously recognized.
","language":"English","publisher":"Fish and Wildlife Service","doi":"10.3996/052017-JFWM-042","usgsCitation":"Holcomb, J.M., Shea, C.P., and Johnson, N.A., 2018, Cumulative spring discharge and survey effort influence occupancy and detection of a threatened freshwater mussel, the Suwannee Moccasinshell: Journal of Fish and Wildlife Management, v. 9, no. 1, p. 95-105, https://doi.org/10.3996/052017-JFWM-042.","productDescription":"11 p.","startPage":"95","endPage":"105","ipdsId":"IP-079957","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468695,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/052017-jfwm-042","text":"Publisher Index Page"},{"id":437880,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VX0DPM","text":"USGS data release","linkHelpText":"Cumulative spring discharge and survey effort influence threatened Suwannee moccasinshell, Medionidus walkeri, occupancy and detection"},{"id":359046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Suwannee River Basin","volume":"9","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-02","publicationStatus":"PW","scienceBaseUri":"5c10a9aae4b034bf6a7e53ad","contributors":{"authors":[{"text":"Holcomb, Jordan M.","contributorId":210321,"corporation":false,"usgs":false,"family":"Holcomb","given":"Jordan","email":"","middleInitial":"M.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":750462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Colin P.","contributorId":140147,"corporation":false,"usgs":false,"family":"Shea","given":"Colin","email":"","middleInitial":"P.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":750463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":750461,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198673,"text":"70198673 - 2018 - Variation in age ratio of midcontinent greater white-fronted geese during fall migration","interactions":[],"lastModifiedDate":"2018-08-15T13:49:28","indexId":"70198673","displayToPublicDate":"2018-06-01T13:49:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Variation in age ratio of midcontinent greater white-fronted geese during fall migration","docAbstract":"Annual productivity is an important parameter for the management of waterfowl populations. Fall age ratio (juveniles:total birds) is an index of productivity of the preceding breeding season. However, differences in the timing of migration between family groups and nonbreeding birds may bias age-ratio estimates. We examined temporal variation in age ratios of midcontinent greater white-fronted geese Anser albifrons frontalis from interior and northwestern Alaska at a northern autumn staging area near Delta Junction, Alaska. Photographic sampling conducted near Delta Junction resulted in an annual age ratio of 0.388 ± 0.004 (mean ± SE) in 2010 and 0.390 ± 0.001 in 2011. Our study demonstrated temporal variation in age ratios over the duration of the migration period during August and September. We recommend that sampling be conducted for 3-d periods at the beginning, middle, and end of the migration period to account for temporal variation in migration of family groups.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/112015-JFWM-117","usgsCitation":"Schock, W.G., Fischer, J., Ely, C.R., Stehn, R.A., Welker, J.M., and Causey, D., 2018, Variation in age ratio of midcontinent greater white-fronted geese during fall migration: Journal of Fish and Wildlife Management, v. 9, no. 1, p. 340-347, https://doi.org/10.3996/112015-JFWM-117.","productDescription":"8 p.","startPage":"340","endPage":"347","ipdsId":"IP-082512","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112015-jfwm-117","text":"Publisher Index Page"},{"id":356516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-02","publicationStatus":"PW","scienceBaseUri":"5b98a2bae4b0702d0e842fc7","contributors":{"authors":[{"text":"Schock, Wade G.","contributorId":207040,"corporation":false,"usgs":false,"family":"Schock","given":"Wade","email":"","middleInitial":"G.","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":742516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Julian B.","contributorId":207042,"corporation":false,"usgs":false,"family":"Fischer","given":"Julian B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":742519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":742515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stehn, Robert A.","contributorId":83986,"corporation":false,"usgs":true,"family":"Stehn","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":742721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welker, Jeffery M.","contributorId":43654,"corporation":false,"usgs":true,"family":"Welker","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":742517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Causey, Douglas","contributorId":207041,"corporation":false,"usgs":false,"family":"Causey","given":"Douglas","email":"","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":742518,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}