Flooding in the Northeastern United States during 2011 was widespread and record setting. This report summarizes peak streamflows that were recorded by the U.S. Geological Survey (USGS) during separate flooding events in February, March, April, May, July, August, and September. The flooding of late April, which combined snowmelt and heavy rain and the floods associated with the tropical storms of late August and September, were the most severe and widespread. Precipitation totals from March to May for Pennsylvania, New York, and Vermont were documented as being the highest totals in 117 years of record. In late August, the heavy rains associated with Hurricane Irene produced widespread flooding in many parts of the Northeastern United States, which resulted in damage estimates in excess of $7 billion and approximately 45 deaths. In September, Tropical Storm Lee produced 6–12 inches of rain in parts of the Northeastern United States adding to the growing total of record peak streamflows set in 2011.
\nThe annual exceedance probability (AEP) for 327 streamgages in the Northeastern United States were computed using annual peak streamflow data through 2011 and are included in this report. The 2011 peak streamflow for 129 of those streamgages was estimated to have an AEP of less than or equal to 1 percent. Almost 100 of these peak streamflows were a result of the flooding associated with Hurricane Irene in late August 2011. More extreme than the 1-percent AEP, is the 0.2-percent AEP. The USGS recorded peak streamflows at 31 streamgages that equaled or exceeded the estimated 0.2-percent AEP during 2011. Collectively, the USGS recorded peak streamflows having estimated AEPs of less than 1 percent in Connecticut, Delaware, Maine, Maryland, Massachusetts, Ohio, Pennsylvania, New Hampshire, New Jersey, New York, and Vermont and new period-of-record peak streamflows were recorded at more than 180 streamgages resulting from the floods of 2011.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1821","usgsCitation":"Suro, T.P., Roland, M.A., and Kiah, R.G., 2015, Flooding in the Northeastern United States, 2011: U.S. Geological Survey Professional Paper 1821, 32 p., https://dx.doi.org/10.3133/pp1821.","productDescription":"Report: v, 32 p.; 2 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062473","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":313165,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1821/downloads/pp1821_table2.xlsx","text":"Table 2","size":"80.4 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 2"},{"id":313163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1821/pp1821.pdf","text":"Report","size":"16.0 MB","description":"Professional Paper 1821"},{"id":313162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1821/coverthb.jpg"},{"id":313164,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1821/downloads/pp1821_table1.xlsx","text":"Table 1","size":"152 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 1"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, Ohio, Pennsylvania, New Hampshire, New Jersey, New York, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.3447265625,\n 45.336701909968106\n ],\n [\n -72.2900390625,\n 45.398449976304086\n ],\n [\n -70.751953125,\n 46.07323062540838\n ],\n [\n -70.1806640625,\n 46.255846818480336\n ],\n [\n -69.6533203125,\n 45.706179285330855\n ],\n [\n -68.8623046875,\n 44.15068115978091\n ],\n [\n -70.224609375,\n 43.03677585761058\n ],\n [\n -70.400390625,\n 42.45588764197166\n ],\n [\n -69.5654296875,\n 42.06560675405716\n ],\n [\n -69.78515625,\n 41.3108238809182\n ],\n [\n -70.400390625,\n 40.91351257612758\n ],\n [\n -71.1474609375,\n 40.88029480552824\n ],\n [\n -72.333984375,\n 40.54720023441049\n ],\n [\n -73.6962890625,\n 40.111688665595956\n ],\n [\n -74.2236328125,\n 39.436192999314095\n ],\n [\n -74.8828125,\n 38.71980474264239\n ],\n [\n -75.05859375,\n 37.85750715625203\n ],\n [\n -75.41015624999999,\n 37.405073750176946\n ],\n [\n -75.849609375,\n 36.914764288955936\n ],\n [\n -76.728515625,\n 36.77409249464195\n ],\n [\n -78.1787109375,\n 36.949891786813296\n ],\n [\n -78.75,\n 37.75334401310656\n ],\n [\n -79.4970703125,\n 38.61687046392973\n ],\n [\n -80.244140625,\n 38.993572058209466\n ],\n [\n -81.2109375,\n 38.993572058209466\n ],\n [\n -81.298828125,\n 38.41055825094609\n ],\n [\n -82.30957031249999,\n 38.47939467327645\n ],\n [\n -83.1884765625,\n 38.71980474264239\n ],\n [\n -83.8037109375,\n 38.47939467327645\n ],\n [\n -84.638671875,\n 38.788345355085625\n ],\n [\n -85.5615234375,\n 38.685509760012\n ],\n [\n -86.044921875,\n 39.36827914916014\n ],\n [\n -85.7373046875,\n 40.48038142908172\n ],\n [\n -85.20996093749999,\n 40.91351257612758\n ],\n [\n -85.341796875,\n 42.00032514831621\n ],\n [\n -84.5068359375,\n 42.293564192170095\n ],\n [\n -83.8037109375,\n 42.35854391749705\n ],\n [\n -83.14453125,\n 42.16340342422401\n ],\n [\n -83.14453125,\n 41.73852846935917\n ],\n [\n -82.30957031249999,\n 41.57436130598913\n ],\n [\n -81.2548828125,\n 41.934976500546604\n ],\n [\n -80.15625,\n 42.391008609205045\n ],\n [\n -79.6728515625,\n 42.71473218539458\n ],\n [\n -79.62890625,\n 43.229195113965005\n ],\n [\n -78.8818359375,\n 43.61221676817573\n ],\n [\n -78.22265625,\n 43.61221676817573\n ],\n [\n -77.783203125,\n 43.929549935614595\n ],\n [\n -77.607421875,\n 44.308126684886126\n ],\n [\n -76.7724609375,\n 44.49650533109348\n ],\n [\n -75.498046875,\n 44.84029065139799\n ],\n [\n -74.8388671875,\n 45.182036837015886\n ],\n [\n -73.3447265625,\n 45.336701909968106\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, Office of Surface Water
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415 National Center
12201 Sunrise Valley Drive
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http://water.usgs.gov/osw/
Environmental tracers are useful for determining groundwater age and recharge source, yet their application in studies of geogenic Cr(VI) in groundwater has been limited. Environmental tracer data from 166 wells located in the Sacramento Valley, northern California, were interpreted and compared to Cr concentrations to determine the origin and age of groundwater with elevated Cr(VI), and better understand where Cr(VI) becomes mobilized and how it evolves along flowpaths. In addition to major ion and trace element concentrations, the dataset includes δ18O, δ2H, 3H concentration, 14C activity (of dissolved inorganic C), δ13C, 3He/4He ratio, and noble gas concentrations (He, Ne, Ar, Kr, Xe). Noble gas recharge temperatures (NGTs) were computed, and age-related tracers were interpreted in combination to constrain the age distribution in samples and sort them into six different age categories spanning from <60 yr old to >10,000 yr old. Nearly all measured Cr is in the form of Cr(IV). Concentrations range from <1 to 46 μg L−1, with 10% exceeding the state of California’s Cr(VI) maximum contaminant level of 10 μg L−1. Two groups with elevated Cr(VI) (⩾5 μg L−1) were identified. Group 1 samples are from the southern part of the valley and contain modern (<60 yr old) water, have elevated NO3− concentrations (>3 mg L−1), and commonly have δ18O values enriched relative to local precipitation. These samples likely contain irrigation water and are elevated due to accelerated mobilization of Cr(VI) in the unsaturated zone (UZ) in irrigated areas. Group 2 samples are from throughout the valley and typically contain water 1000–10,000 yr old, have δ18O values consistent with local precipitation, and have unexpectedly warm NGTs. Chromium(VI) concentrations in Group 2 samples may be elevated for multiple reasons, but the hypothesis most consistent with all available data (notably, the warm NGTs) is a relatively long UZ residence time due to recharge through a deep UZ near the margin of the basin. A possible explanation for why Cr(VI) may be primarily mobilized in the UZ rather than farther along flowpaths in the oxic portion of the saturated zone is more dynamic cycling of Mn in the UZ due to transient moisture and redox conditions.
\nEnvironmental tracers provide information on groundwater age, recharge conditions, and flow processes which can be helpful for evaluating groundwater sustainability and vulnerability. Dissolved noble gas data have proven particularly useful in mountainous terrain because they can be used to determine recharge elevation. However, tracer-derived recharge elevations have not been utilized as calibration targets for numerical groundwater flow models. Herein, we constrain and calibrate a regional groundwater flow model with noble-gas-derived recharge elevations for the first time. Tritium and noble gas tracer results improved the site conceptual model by identifying a previously uncertain contribution of mountain block recharge from the Coast Mountains to an alluvial coastal aquifer in humid southwestern British Columbia. The revised conceptual model was integrated into a three-dimensional numerical groundwater flow model and calibrated to hydraulic head data in addition to recharge elevations estimated from noble gas recharge temperatures. Recharge elevations proved to be imperative for constraining hydraulic conductivity, recharge location, and bedrock geometry, and thus minimizing model nonuniqueness. Results indicate that 45% of recharge to the aquifer is mountain block recharge. A similar match between measured and modeled heads was achieved in a second numerical model that excludes the mountain block (no mountain block recharge), demonstrating that hydraulic head data alone are incapable of quantifying mountain block recharge. This result has significant implications for understanding and managing source water protection in recharge areas, potential effects of climate change, the overall water budget, and ultimately ensuring groundwater sustainability.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015WR017274","usgsCitation":"Doyle, J.M., Gleeson, T., Manning, A.H., and Mayer, K.U., 2015, Using noble gas tracers to constrain a groundwater flow model with recharge elevations: A novel approach for mountainous terrain: Water Resources Research, v. 51, no. 10, p. 8094-8113, https://doi.org/10.1002/2015WR017274.","productDescription":"20 p.","startPage":"8094","endPage":"8113","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065559","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr017274","text":"Publisher Index Page"},{"id":313328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-12","publicationStatus":"PW","scienceBaseUri":"568ce932e4b0e7a44bc0f115","contributors":{"authors":[{"text":"Doyle, Jessica M.","contributorId":151068,"corporation":false,"usgs":false,"family":"Doyle","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":18175,"text":"Waterline Resources Inc., Nanaimo, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":584241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gleeson, Tom","contributorId":81041,"corporation":false,"usgs":true,"family":"Gleeson","given":"Tom","email":"","affiliations":[],"preferred":false,"id":584242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":584240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, K. Ulrich","contributorId":151069,"corporation":false,"usgs":false,"family":"Mayer","given":"K.","email":"","middleInitial":"Ulrich","affiliations":[{"id":18176,"text":"Department of Earth and Ocean Science, University of British Columbia, Vancouver, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":584243,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157594,"text":"ofr20151187 - 2015 - Detecting sea-level hazards: Simple regression-based methods for calculating the acceleration of sea level","interactions":[],"lastModifiedDate":"2016-01-05T08:36:22","indexId":"ofr20151187","displayToPublicDate":"2016-01-04T13:30:00","publicationYear":"2015","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":"2015-1187","title":"Detecting sea-level hazards: Simple regression-based methods for calculating the acceleration of sea level","docAbstract":"This report documents the development of statistical tools used to quantify the hazard presented by the response of sea-level elevation to natural or anthropogenic changes in climate and ocean circulation. A hazard is a physical process (or processes) that, when combined with vulnerability (or susceptibility to the hazard), results in risk. This study presents the development and comparison of new and existing sea-level analysis methods, exploration of the strengths and weaknesses of the methods using synthetic time series, and when appropriate, synthesis of the application of the method to observed sea-level time series. These reports are intended to enhance material presented in peer-reviewed journal articles where it is not always possible to provide the level of detail that might be necessary to fully support or recreate published results.
\nThe purpose of this report is to document and compare three simple methodologies that have previously been used to provide estimates with associated errors of the acceleration of sea-level elevation. These techniques have been used by coastal scientists and planners in assessing coastal risk over a wide range of spatial and temporal scales. Because relative sea-level (SL) elevation time series contain energetic fluctuations at many time scales, extracting what can be relatively small rate and acceleration signals (along with estimates of the error) from much larger “noise” has proven to be both difficult and controversial. Acceleration is a preferred measure of SL response to recent changes in the Earth’s climate because over time scales of 100 years or less slow vertical land motions (such as glacial isostatic adjustment) contribute only to the linear signal and not to acceleration, thus reducing the complexity of the analysis. Hence acceleration is useful if the goal of a study is to characterize and quantify the hazard associated with the changing relative elevation of water with respect to land on decadal time scales. Although in some cases it may be necessary to determine the cause of relative sea level rise, as a first step, it is important to accurately estimate the magnitude of the threat.
\nMost researchers agree that global sea level (GSL) rose persistently through much of the 20th century at about 1.5–2.0 millimeters per year (mm/yr). There is far less agreement about whether the rate of sea-level rise (SLR) is increasing (that is, an acceleration in SL).
\nRecent studies, and most of their predecessors, use tide gage data to quantify SL acceleration, ASL(t). In the current study, three techniques were used to calculate acceleration from tide gage data, and of those examined, it was determined that the two techniques based on sliding a regression window through the time series are more robust compared to the technique that fits a single quadratic form to the entire time series, particularly if there is temporal variation in the magnitude of the acceleration. The single-fit quadratic regression method has been the most commonly used technique in determining acceleration in tide gage data. The inability of the single-fit method to account for time-varying acceleration may explain some of the inconsistent findings between investigators. Properly quantifying ASL(t) from field measurements is of particular importance in evaluating numerical models of past, present, and future SLR resulting from anticipated climate change.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151187","issn":"2331-1258","usgsCitation":"Doran, K.S., Howd, P.A., and Sallenger, A.H., Jr., 2015, Detecting sea-level hazards—Simple regression-based methods for calculating the acceleration of sea level: U.S. Geological Survey Open-File Report 2015–1187, 28 p.","productDescription":"v, 28 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039300","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":313205,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1187/cover.jpg"},{"id":313038,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1187/ofr20151187.pdf","text":"Report","size":"3.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1187"}],"contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
http://coastal.er.usgs.gov/
Statistical summaries of streamflow data collected at 184 streamgages in Iowa are presented in this report. All streamgages included for analysis have at least 10 years of continuous record collected before or through September 2013. This report is an update to two previously published reports that presented statistical summaries of selected Iowa streamflow data through September 1988 and September 1996. The statistical summaries include (1) monthly and annual flow durations, (2) annual exceedance probabilities of instantaneous peak discharges (flood frequencies), (3) annual exceedance probabilities of high discharges, and (4) annual nonexceedance probabilities of low discharges and seasonal low discharges. Also presented for each streamgage are graphs of the annual mean discharges, mean annual mean discharges, 50-percent annual flow-duration discharges (median flows), harmonic mean flows, mean daily mean discharges, and flow-duration curves. Two sets of statistical summaries are presented for each streamgage, which include (1) long-term statistics for the entire period of streamflow record and (2) recent-term statistics for or during the 30-year period of record from 1984 to 2013. The recent-term statistics are only calculated for streamgages with streamflow records pre-dating the 1984 water year and with at least 10 years of record during 1984–2013. The streamflow statistics in this report are not adjusted for the effects of water use; although some of this water is used consumptively, most of it is returned to the streams.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151214","collaboration":"Prepared in cooperation with the Iowa Department of Transportation, the Iowa Highway Research Board (Iowa DOT Research Project TR-669), and the U.S. Army Corps of Engineers","usgsCitation":"Eash, D.A., O’Shea, P.S., Weber, J.R., Nguyen, K.T., Montgomery, N.L., and Simonson, A.J., 2015, Statistical summaries of selected Iowa streamflow data through September 2013: U.S. Geological Survey Open-File Report 2015–1214, 18 p., https://dx.doi.org/10.3133/ofr20151214.","productDescription":"Report: vii, 18 p.; Table; Companion File","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1984-01-01","ipdsId":"IP-064768","costCenters":[{"id":351,"text":"Iowa Water Science 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U.S. Geological Survey
P.O. Box 1230
Iowa City, IA 52244
http://ia.water.usgs.gov
We studied a raccoon (Procyon lotor) population within a managed central Appalachian hardwood forest in West Virginia to investigate the effects of intensive forest management on raccoon spatial requirements and habitat selection. Raccoon home-range (95% utilization distribution) and core-area (50% utilization distribution) size differed between sexes with males maintaining larger (2×) home ranges and core areas than females. Home-range and core-area size did not differ between seasons for either sex. We used compositional analysis to quantify raccoon selection of six different habitat types at multiple spatial scales. Raccoons selected riparian corridors (riparian management zones [RMZ]) and intact forests (> 70 y old) at the core-area spatial scale. RMZs likely were used by raccoons because they provided abundant denning resources (i.e., large-diameter trees) as well as access to water. Habitat composition associated with raccoon foraging locations indicated selection for intact forests, riparian areas, and regenerating harvest (stands <10 y old). Although raccoons were able to utilize multiple habitat types for foraging resources, a selection of intact forest and RMZs at multiple spatial scales indicates the need of mature forest (with large-diameter trees) for this species in managed forests in the central Appalachians.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-174.1.87","usgsCitation":"Owen, S.F., Berl, J.L., Edwards, J.W., Ford, W.M., and Wood, P.B., 2015, Raccoon spatial requirements and multi-scale habitat selection within an intensively managed central Appalachian forest: American Midland Naturalist, v. 174, no. 1, p. 87-95, https://doi.org/10.1674/0003-0031-174.1.87.","productDescription":"9 p.","startPage":"87","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056991","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57500770e4b0ee97d51bb6f8","contributors":{"authors":[{"text":"Owen, Sheldon F.","contributorId":169825,"corporation":false,"usgs":false,"family":"Owen","given":"Sheldon","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":631193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berl, Jacob L.","contributorId":169826,"corporation":false,"usgs":false,"family":"Berl","given":"Jacob","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":631194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, John W.","contributorId":169827,"corporation":false,"usgs":false,"family":"Edwards","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":631195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":169828,"corporation":false,"usgs":false,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[],"preferred":false,"id":631196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":630997,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173574,"text":"70173574 - 2015 - The effects of harvest regulations on behaviors of duck hunters","interactions":[],"lastModifiedDate":"2016-06-13T14:58:38","indexId":"70173574","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"The effects of harvest regulations on behaviors of duck hunters","docAbstract":"Uncertainty exists as to how duck harvest regulations influence waterfowl hunter behavior. We used the U.S. Fish and Wildlife Service’s Parts Collection Survey to examine how harvest regulations affected behaviors of Central Flyway duck hunters. We stratified hunters into ranked groups based on seasonal harvest and identified three periods (1975–1984, 1988–1993, 2002–2011) that represented different harvest regulations (moderate, restrictive, and liberal, respectively; season length and daily bag limits smallest in restrictive seasons and largest in liberal seasons). We examined variability of seven measures of duck hunter behaviors across the periods: days harvesting ducks, daily harvest, hunter mobility, mallard (Anas platyrhynchos) selectivity, gender selectivity, daily female mallard harvest, and timing of harvest. Hunters reported harvesting ducks on more days, at a higher efficiency, and in slightly more counties during liberal seasons relative to restrictive and moderate seasons. We provide evidence to suggest that future regulation change will affect hunter behaviors.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2014.950437","usgsCitation":"Haugen, M.T., Powell, L., Vrtiska, M.P., and Pope, K.L., 2015, The effects of harvest regulations on behaviors of duck hunters: Human Dimensions of Wildlife: An International Journal, v. 20, no. 1, p. 15-29, https://doi.org/10.1080/10871209.2014.950437.","productDescription":"15 p.","startPage":"15","endPage":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055656","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-07","publicationStatus":"PW","scienceBaseUri":"575fd933e4b04f417c2baaa2","contributors":{"authors":[{"text":"Haugen, Matthew T.","contributorId":171767,"corporation":false,"usgs":false,"family":"Haugen","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":638581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":15100,"corporation":false,"usgs":true,"family":"Powell","given":"Larkin A.","affiliations":[],"preferred":false,"id":638582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":638583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173599,"text":"70173599 - 2015 - The effects of flow and stream characteristics on the variation in freshwater mussel growth in a Southeast US river basin","interactions":[],"lastModifiedDate":"2016-06-13T09:54:25","indexId":"70173599","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"The effects of flow and stream characteristics on the variation in freshwater mussel growth in a Southeast US river basin","docAbstract":"The dependency of surface- and groundwater flows and aquifer hydraulic properties on deformation induced by changes in aquifer head is not accounted for in the standard version of MODFLOW. A new USGS integrated hydrologic model, MODFLOW-OWHM, incorporates this dependency by linking subsidence and mesh deformation with changes in aquifer transmissivity and storage coefficient, and with flows that also depend on aquifer characteristics and land-surface geometry. This new deformation-dependent approach is being used for the further development of the integrated Central Valley hydrologic model (CVHM) in California. Preliminary results from this application and from hypothetical test cases of similar systems show that changes in canal flows, stream seepage, and evapotranspiration from groundwater (ETgw) are sensitive to deformation. Deformation feedback has been shown to also have an indirect effect on conjunctive surface- and groundwater use components with increased stream seepage and streamflows influencing surface-water deliveries and return flows. In the Central Valley model, land subsidence may significantly degrade the ability of the major canals to deliver surface water from the Delta to the San Joaquin and Tulare basins. Subsidence can also affect irrigation demand and ETgw, which, along with altered surface-water supplies, causes a feedback response resulting in changed estimates of groundwater pumping for irrigation. This modeling feature also may improve the impact assessment of dewatering-induced land subsidence/uplift (following irrigation pumping or coal-seam gas extraction) on surface receptors, inter-basin transfers, and surface infrastructure integrity.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/piahs-372-449-2015","usgsCitation":"Hanson, R.T., Traum, J.A., Boyce, S.E., Schmid, W., and Hughes, J.D., 2015, Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM: Proceedings of the International Association of Hydrological Sciences, v. 372, p. 449-453, https://doi.org/10.5194/piahs-372-449-2015.","productDescription":"5 p.","startPage":"449","endPage":"453","ipdsId":"IP-065067","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-372-449-2015","text":"Publisher Index Page"},{"id":333531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"372","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"58833023e4b0d00231637794","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":654472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":654473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175740,"text":"70175740 - 2015 - Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","interactions":[],"lastModifiedDate":"2016-08-31T11:31:15","indexId":"70175740","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","docAbstract":"The Mid-Atlantic region hosts some of the most mature karst landscapes in North America, developed in highly deformed rocks within the Piedmont and Valley and Ridge physiographic provinces. This guide describes a three-day excursion to examine karst development in various carbonate rocks by following Interstate 70 west from Baltimore across the eastern Piedmont, across the Frederick Valley, and into the Great Valley proper. The localities were chosen in order to examine the structural and lithological controls on karst feature development in marble, limestone, and dolostone rocks with an eye toward the implications for ancient landscape evolution, as well as for modern subsidence hazards. A number of caves will be visited, including two commercial caverns that reveal strikingly different histories of speleogenesis. Links between karst landscape development, hydrologic dynamics, and water resource sustainability will also be emphasized through visits to locally important springs. Recent work on quantitative dye tracing, spring water geochemistry, and groundwater modeling reveal the interaction between shallow and deep circulation of groundwater that has given rise to the modern karst landscape. Geologic and karst feature mapping conducted with the benefit of lidar data help reveal the strong bedrock structural controls on karst feature development, and illustrate the utility of geologic maps for assessment of sinkhole susceptibility.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.0040(11)","usgsCitation":"Doctor, D.H., Weary, D.J., Brezinski, D.K., Orndorff, R.C., and Spangler, L.E., 2015, Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia, chap. of Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015, v. 40, p. 425-484, https://doi.org/10.1130/2015.0040(11).","productDescription":"60 p.","startPage":"425","endPage":"484","ipdsId":"IP-066715","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb7e4b0f2f0cebfc29e","contributors":{"editors":[{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647612,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Halka, Jeffrey","contributorId":96033,"corporation":false,"usgs":true,"family":"Halka","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":647613,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Ortt, Richard A. Jr.","contributorId":174166,"corporation":false,"usgs":false,"family":"Ortt","given":"Richard","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":647614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":646258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":646260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175733,"text":"70175733 - 2015 - Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","interactions":[],"lastModifiedDate":"2016-08-31T11:35:46","indexId":"70175733","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","docAbstract":"Caves provide direct access to flows through the vadose zone that recharge karst aquifers. Although many recent studies have documented the highly dynamic processes associated with vadose zone flows in karst settings, few have been conducted in mantled karst settings, such as that of southeastern Minnesota. Here we present some results of a long-term program of cave drip monitoring conducted within Mystery Cave, Minnesota. In this study, two perennial ceiling drip sites were monitored between 1997 and 2001. The sites were located about 90 m (300 ft) apart along the same cave passage approximately 18 m (60 ft) below the surface; 7 to 9 m (20 to 30 ft) of loess and 12 m (40 ft) of flat-lying carbonate bedrock strata overlie the cave. Records of drip rate, electrical conductivity, and water temperature were obtained at 15 minute intervals, and supplemented with periodic sampling for major ion chemistry and water stable isotopes. Patterns in flow and geochemistry emerged at each of the two drip sites that were repeated year after year. Although one site responded relatively quickly (within 2-7 hours) to surface recharge events while the other responded more slowly (within 2-5 days), thresholds of antecedent moisture needed to be overcome in order to produce a discharge response at both sites. The greatest amount of flow was observed at both sites during the spring snowmelt period. Rainfall events less than 10 mm (0.4 in) during the summer months generally did not produce a drip discharge response, yet rapid drip responses were observed following intense storm events after periods of prolonged rainfall. The chemical data from both sites indicate that reservoirs of vadose zone water with distinct chemical signatures mixed during recharge events, and drip chemistry returned to a baseline composition during low flow periods. A reservoir with elevated chloride and sulfate concentrations impacts the slow-response drip site with each recharge event, but does not similarly affect the fast-response drip site. Nitrate concentrations in drip waters were generally less than 4.0 mg/L as NO3- (or less than 1 mg/L as N). Nitrate was either stable or slightly increased with drip rate at the fast-response drip site; in contrast, nitrate concentrations decreased with drip rate at the slow-response drip site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","conferenceDate":"October 5-9, 2015","conferenceLocation":"Rochester, MN","language":"English","publisher":"National Cave and Karst Research Institute","doi":"10.5038/9780991000951.1023","usgsCitation":"Doctor, D.H., Alexander, E.C., Jameson, R.A., and Alexander, S.C., 2015, Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota, in National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Rochester, MN, October 5-9, 2015, p. 19-30, https://doi.org/10.5038/9780991000951.1023.","productDescription":"12 p.","startPage":"19","endPage":"30","ipdsId":"IP-066732","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471520,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarcommons.usf.edu/sinkhole_2015/ProceedingswithProgram/Upper_Mississippi_Valley_Karst_Aquifers/3","text":"External Repository"},{"id":328118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb4e4b0f2f0cebfc275","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, E. Calvin Jr.","contributorId":173840,"corporation":false,"usgs":false,"family":"Alexander","given":"E.","suffix":"Jr.","email":"","middleInitial":"Calvin","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jameson, Roy A.","contributorId":173841,"corporation":false,"usgs":false,"family":"Jameson","given":"Roy","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":646232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Scott C.","contributorId":173842,"corporation":false,"usgs":false,"family":"Alexander","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160331,"text":"70160331 - 2015 - Applied groundwater modeling, 2nd Edition","interactions":[],"lastModifiedDate":"2016-11-28T09:30:57","indexId":"70160331","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Applied groundwater modeling, 2nd Edition","docAbstract":"This second edition is extensively revised throughout with expanded discussion of modeling fundamentals and coverage of advances in model calibration and uncertainty analysis that are revolutionizing the science of groundwater modeling. The text is intended for undergraduate and graduate level courses in applied groundwater modeling and as a comprehensive reference for environmental consultants and scientists/engineers in industry and governmental agencies.
","language":"English","publisher":"Academic Press","usgsCitation":"Anderson, M.P., Woessner, W.W., and Hunt, R.J., 2015, Applied groundwater modeling, 2nd Edition (2), 630 p.","productDescription":"630 p.","ipdsId":"IP-060640","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":331232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312456,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/applied-groundwater-modeling/978-0-08-091638-5"}],"edition":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583d5034e4b0d9329c80c5a1","contributors":{"authors":[{"text":"Anderson, Mary P.","contributorId":30704,"corporation":false,"usgs":false,"family":"Anderson","given":"Mary","email":"","middleInitial":"P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":582581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woessner, William W.","contributorId":147877,"corporation":false,"usgs":false,"family":"Woessner","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":16951,"text":"Department of Geosciences, University of Montana, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":582582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582580,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70162268,"text":"70162268 - 2015 - Evaluation of a fine sediment removal tool in spring-fed and snowmelt driven streams","interactions":[],"lastModifiedDate":"2016-01-20T12:24:55","indexId":"70162268","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1462,"text":"Ecological Restoration","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a fine sediment removal tool in spring-fed and snowmelt driven streams","docAbstract":"The accumulation of fine-grained sediments impairs the structure and function of streams, so removing fine sediments may be required to achieve restoration objectives. There has been little work on methods of removing excess sediment or on the efficacy of the methods. We used a 4-year before-after-control-impact design in southeastern Idaho streams to test a fine sediment removal system (FSRS) manufactured by Streamside Environmental LLC. The FSRS agitates fine sediment in the substrate with clean pump water and then vacuums the sediment out of the stream with a second pump. Our objectives were: 1) to test if the FSRS can selectively remove fine sediment; 2) to monitor the bio-physical responses in FSRS treated and downstream waters; and 3) to compare the bio-physical responses to the FSRS in spring-fed and snowmelt driven stream reaches. The FSRS removed ~ 14 metric tons of sediment from the two treated reaches. More than 90% of this sediment was < 2 mm, indicating that the FSRS selected for fine sediment in both stream types. Sustained effects of removing this sediment were confined to substrate improvements in treated reaches. Embeddedness in the spring-fed reach decreased and subsurface grain size in spring-fed and snowmelt driven reaches increased. We did not detect any sustained invertebrate or fish responses in treated reaches or any detrimental bio-physical responses in downstream waters. These results indicate that the FSRS reduced fine sediment levels but sediment removal did not reverse the impacts of sediment accumulation to stream biota within our monitoring time frame.
","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.33.3.303","usgsCitation":"Sepulveda, A.J., Layhee, M.J., Sutphin, Z., and Sechrist, J.D., 2015, Evaluation of a fine sediment removal tool in spring-fed and snowmelt driven streams: Ecological Restoration, v. 33, no. 3, p. 303-315, https://doi.org/10.3368/er.33.3.303.","productDescription":"13 p.","startPage":"303","endPage":"315","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063203","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-17","publicationStatus":"PW","scienceBaseUri":"56a0bdc8e4b0961cf280dc1a","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutphin, Zach","contributorId":152362,"corporation":false,"usgs":false,"family":"Sutphin","given":"Zach","email":"","affiliations":[{"id":18915,"text":"U.S. Bureau of Reclamation, Denver Technical Service Center, Denver, CO 80225, USA","active":true,"usgs":false}],"preferred":false,"id":589046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sechrist, Juddson D.","contributorId":52472,"corporation":false,"usgs":true,"family":"Sechrist","given":"Juddson","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":589047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173815,"text":"70173815 - 2015 - Breeding ecology of Wandering Tattlers Tringa incana: a study from south-central Alaska","interactions":[],"lastModifiedDate":"2016-06-13T09:26:51","indexId":"70173815","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3704,"text":"Wader Study Group Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Breeding ecology of Wandering Tattlers Tringa incana: a study from south-central Alaska","docAbstract":"Montane-nesting shorebirds are arguably the least studied of the Charadriiformes, owing in part to the remoteness of their breeding areas, low nesting densities, and specialized behaviors. We studied a marked population of the Wandering Tattler Tringa incana, during a three-year period (1997–1999) on nesting grounds in south-central Alaska. Two aspects of our results stand out. First is the previously undescribed preference for tattlers to nest several kilometers removed from pre-nesting feeding areas, mostly in association with both small (kettle) lakes and running water (near small distributaries of major drainages). Second is the apparent use of the study area by cohorts of birds of different breeding status, including (1) local breeders, which defended pre-breeding foraging areas, (2) local non-breeding birds, which remained on the area but were not territorial, and (3) transients that were captured later in the season, but not seen again on the area during the season of capture. We also found that (1) birds tended to nest in clusters despite what appeared to be the ample availability of nesting habitat, (2) they employed an inconspicuous’ nesting strategy whereby neither member of a pair betrayed its presence on the nesting area, and (3) females departed the area during early chick-rearing, leaving males to tend broods.
","language":"English","doi":"10.18194/ws.00016","usgsCitation":"Gill, R., Tomkovich, P.S., and Dementyev, M.N., 2015, Breeding ecology of Wandering Tattlers Tringa incana: a study from south-central Alaska: Wader Study Group Bulletin, v. 122, no. 2, p. 99-114, https://doi.org/10.18194/ws.00016.","productDescription":"16 p.","startPage":"99","endPage":"114","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065013","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":323469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323464,"type":{"id":15,"text":"Index Page"},"url":"https://www.waderstudygroup.org/article/7151/"}],"country":"United States","state":"Alaska","otherGeospatial":"Turquoise Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.0550994873047,\n 60.75312148558718\n ],\n [\n -154.0550994873047,\n 60.81077165171808\n ],\n [\n -153.8518524169922,\n 60.81077165171808\n ],\n [\n -153.8518524169922,\n 60.75312148558718\n ],\n [\n -154.0550994873047,\n 60.75312148558718\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa05","contributors":{"authors":[{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":638494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomkovich, Pavel S.","contributorId":55333,"corporation":false,"usgs":false,"family":"Tomkovich","given":"Pavel","email":"","middleInitial":"S.","affiliations":[{"id":6930,"text":"Zoological Museum of Moscow, MV Lomonosov University, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":638512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dementyev, Maksim N.","contributorId":138560,"corporation":false,"usgs":false,"family":"Dementyev","given":"Maksim","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":638513,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173773,"text":"70173773 - 2015 - Movement patterns and dispersal potential of Pecos bluntnose shiner (Notropis simus pecosensis) revealed using otolith microchemistry","interactions":[],"lastModifiedDate":"2016-06-09T10:25:37","indexId":"70173773","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Movement patterns and dispersal potential of Pecos bluntnose shiner (Notropis simus pecosensis) revealed using otolith microchemistry","docAbstract":"Natal origin and dispersal potential of the federally threatened Pecos bluntnose shiner (Notropis simus pecosensis) were successfully characterized using otolith microchemistry and swimming performance trials. Strontium isotope ratios (87Sr:86Sr) of otoliths within the resident plains killifish (Fundulus zebrinus) were successfully used as a surrogate for strontium isotope ratios in water and revealed three isotopically distinct reaches throughout 297 km of the Pecos River, New Mexico, USA. Two different life history movement patterns were revealed in Pecos bluntnose shiner. Eggs and fry were either retained in upper river reaches or passively dispersed downriver followed by upriver movement during the first year of life, with some fish achieving a minimum movement of 56 km. Swimming ability of Pecos bluntnose shiner confirmed upper critical swimming speeds (Ucrit) as high as 43.8 cm·s−1 and 20.6 body lengths·s−1 in 30 days posthatch fish. Strong swimming ability early in life supports our observations of upriver movement using otolith microchemistry and confirms movement patterns that were previously unknown for the species. Understanding patterns of dispersal of this and other small-bodied fishes using otolith microchemistry may help redirect conservation and management efforts for Great Plains fishes.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0574","usgsCitation":"Chase, N.M., Caldwell, C.A., Carleton, S.A., Gould, W., and Hobbs, J.A., 2015, Movement patterns and dispersal potential of Pecos bluntnose shiner (Notropis simus pecosensis) revealed using otolith microchemistry: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 10, p. 1575-1583, https://doi.org/10.1139/cjfas-2014-0574.","productDescription":"9 p.","startPage":"1575","endPage":"1583","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061033","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Pecos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.6063232421875,\n 32.532920675187846\n ],\n [\n -104.6063232421875,\n 34.646766246519114\n ],\n [\n -104.095458984375,\n 34.646766246519114\n ],\n [\n -104.095458984375,\n 32.532920675187846\n ],\n [\n -104.6063232421875,\n 32.532920675187846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9334e4b04f417c27516a","contributors":{"authors":[{"text":"Chase, Nathan M.","contributorId":171637,"corporation":false,"usgs":false,"family":"Chase","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":638160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobbs, James A.","contributorId":171638,"corporation":false,"usgs":false,"family":"Hobbs","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171517,"text":"70171517 - 2015 - Introduction to watershed ecosystem services: Chapter 1","interactions":[],"lastModifiedDate":"2021-04-09T16:09:58.752712","indexId":"70171517","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Introduction to watershed ecosystem services: Chapter 1","docAbstract":"Humans derive a great number of goods and services from terrestrial ecosystems (Millennium Ecosystem Assessment, 2003, 2005). Some, like timber, fruits, bush meat, and other forest based food stuffs, are evident but others are not so obvious. Increasingly policy makers have realized the importance of forests and other ecosystems in sequestering carbon, as clearing of once vibrant vegetation or draining of swamps releases carbon dioxide (U.S. DOE, 2012) and where planting trees – particularly in the tropics - takes carbon dioxide out of the atmosphere (Bala et al., 2007). Scientists and conservationists have long called our attention to the value of Neotropical landscapes for biodiversity conservation as forests and other ecosystems harbor vast numbers of species. In recent decades conservationists and policy makers have also highlighted the potential of forests and other ecosystems to regulate stream flows (Ibáñez et al., 2002, Laurance, 2007 but also see Calder et al., 2007) and play a role in assuring clean water (Uriarte et al., 2011). All of these goods and services are part of what is collectively referred to as ecosystem services or goods and services that are provided to humanity through the unimpeded natural function of the ecosystem.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing watersheds for ecosystem services in the steepland neotropics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Inter-American Development Bank","usgsCitation":"Hall, J.S., Stallard, R.F., and Kirn, V., 2015, Introduction to watershed ecosystem services: Chapter 1, chap. of Managing watersheds for ecosystem services in the steepland neotropics, p. 16-19.","productDescription":"4 p.","startPage":"16","endPage":"19","ipdsId":"IP-065660","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c9512ee4b0f2f0cec15bf2","contributors":{"authors":[{"text":"Hall, Jefferson S.","contributorId":169939,"corporation":false,"usgs":false,"family":"Hall","given":"Jefferson","email":"","middleInitial":"S.","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":631564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirn, Vanessa","contributorId":169940,"corporation":false,"usgs":false,"family":"Kirn","given":"Vanessa","email":"","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":631565,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134006,"text":"70134006 - 2015 - Spatial and temporal migration of a landfill leachate plume in alluvium","interactions":[],"lastModifiedDate":"2018-09-04T15:36:04","indexId":"70134006","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal migration of a landfill leachate plume in alluvium","docAbstract":"Leachate from unlined or leaky landfills can create groundwater contaminant plumes that last decades to centuries. Understanding the dynamics of leachate movement in space and time is essential for monitoring, planning and management, and assessment of risk to groundwater and surface-water resources. Over a 23.4-year period (1986–2010), the spatial extent of the Norman Landfill leachate plume increased at a rate of 7800 m2/year and expanded by 878 %, from an area of 20,800 m2 in 1986 to 203,400 m2 in 2010. A linear plume velocity of 40.2 m/year was calculated that compared favorably to a groundwater-seepage velocity of 55.2 m/year. Plume-scale hydraulic conductivity values representative of actual hydrogeological conditions in the alluvium ranged from 7.0 × 10−5 to 7.5 × 10−4 m/s, with a median of 2.0 × 10−4 m/s. Analyses of field-measured and calculated plume-scale hydraulic conductivity distributions indicate that the upper percentiles of field-measured values should be considered to assess rates of plume-scale migration, spreading, and biodegradation. A pattern of increasing Cl− concentrations during dry periods and decreasing Cl− concentrations during wet periods was observed in groundwater beneath the landfill. The opposite occurred in groundwater downgradient from the landfill; that is, Cl− concentrations in groundwater downgradient from the landfill decreased during dry periods and increased during wet periods. This pattern of changing Cl−concentrations in response to wet and dry periods indicates that the landfill retains or absorbs leachate during dry periods and produces lower concentrated leachate downgradient. During wet periods, the landfill receives more recharge which dilutes leachate in the landfill but increases leachate migration from the landfill and produces a more concentrated contaminant plume. This approach of quantifying plume expansion, migration, and concentration during variable hydrologic conditions provides increased understanding of plume behavior and migration potential and may be applied at less monitored landfill sites to evaluate potential risks of contamination to downgradient receptors.
","language":"English","publisher":"Springer","doi":"10.1007/s11270-014-2261-x","usgsCitation":"Masoner, J.R., and Cozzarelli, I.M., 2015, Spatial and temporal migration of a landfill leachate plume in alluvium: Water, Air, & Soil Pollution, v. 226, Article 18; 15 p., https://doi.org/10.1007/s11270-014-2261-x.","productDescription":"Article 18; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043914","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":324927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"226","noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"5780cebfe4b08116168223bc","contributors":{"authors":[{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":525639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173633,"text":"70173633 - 2015 - Guidelines for evaluating performance of oyster habitat restoration","interactions":[],"lastModifiedDate":"2016-06-08T13:03:58","indexId":"70173633","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Guidelines for evaluating performance of oyster habitat restoration","docAbstract":"Restoration of degraded ecosystems is an important societal goal, yet inadequate monitoring and the absence of clear performance metrics are common criticisms of many habitat restoration projects. Funding limitations can prevent adequate monitoring, but we suggest that the lack of accepted metrics to address the diversity of restoration objectives also presents a serious challenge to the monitoring of restoration projects. A working group with experience in designing and monitoring oyster reef projects was used to develop standardized monitoring metrics, units, and performance criteria that would allow for comparison among restoration sites and projects of various construction types. A set of four universal metrics (reef areal dimensions, reef height, oyster density, and oyster size–frequency distribution) and a set of three universal environmental variables (water temperature, salinity, and dissolved oxygen) are recommended to be monitored for all oyster habitat restoration projects regardless of their goal(s). In addition, restoration goal-based metrics specific to four commonly cited ecosystem service-based restoration goals are recommended, along with an optional set of seven supplemental ancillary metrics that could provide information useful to the interpretation of prerestoration and postrestoration monitoring data. Widespread adoption of a common set of metrics with standardized techniques and units to assess well-defined goals not only allows practitioners to gauge the performance of their own projects but also allows for comparison among projects, which is both essential to the advancement of the field of oyster restoration and can provide new knowledge about the structure and ecological function of oyster reef ecosystems.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12262","usgsCitation":"Baggett, L.P., Powers, S.P., Brumbaugh, R.D., Coen, L.D., DeAngelis, B.M., Greene, J.K., Hancock, B.T., Morlock, S.M., Allen, B.L., Breitburg, D.L., Bushek, D., Grabowski, J., Grizzle, R.E., Grosholz, E., LaPeyre, M.K., Luckenbach, M.W., McGraw, K.A., Piehler, M.F., Westby, S.R., and zu Ermgassen, P., 2015, Guidelines for evaluating performance of oyster habitat restoration: Restoration Ecology, v. 23, no. 6, p. 737-745, https://doi.org/10.1111/rec.12262.","productDescription":"9 p.","startPage":"737","endPage":"745","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056583","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"575941f3e4b04f417c256871","contributors":{"authors":[{"text":"Baggett, Lesley P.","contributorId":171552,"corporation":false,"usgs":false,"family":"Baggett","given":"Lesley","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":637926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Sean P.","contributorId":138867,"corporation":false,"usgs":false,"family":"Powers","given":"Sean","email":"","middleInitial":"P.","affiliations":[{"id":12554,"text":"University of South Alabama and Dauphin Island Sea Lab, Dauphin","active":true,"usgs":false}],"preferred":false,"id":637927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, Robert D.","contributorId":171553,"corporation":false,"usgs":false,"family":"Brumbaugh","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coen, Loren D.","contributorId":171554,"corporation":false,"usgs":false,"family":"Coen","given":"Loren","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Bryan M.","contributorId":171555,"corporation":false,"usgs":false,"family":"DeAngelis","given":"Bryan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greene, Jennifer K.","contributorId":171556,"corporation":false,"usgs":false,"family":"Greene","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":637931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hancock, Boze T.","contributorId":171558,"corporation":false,"usgs":false,"family":"Hancock","given":"Boze","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":637932,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morlock, Summer M.","contributorId":171559,"corporation":false,"usgs":false,"family":"Morlock","given":"Summer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637933,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allen, Brian L.","contributorId":171560,"corporation":false,"usgs":false,"family":"Allen","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637934,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breitburg, Denise L.","contributorId":53294,"corporation":false,"usgs":true,"family":"Breitburg","given":"Denise","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637935,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bushek, David","contributorId":23766,"corporation":false,"usgs":true,"family":"Bushek","given":"David","affiliations":[],"preferred":false,"id":637936,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grabowski, Jonathan H.","contributorId":171561,"corporation":false,"usgs":false,"family":"Grabowski","given":"Jonathan H.","affiliations":[],"preferred":false,"id":637937,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Grizzle, Raymond E.","contributorId":171562,"corporation":false,"usgs":false,"family":"Grizzle","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":637938,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Grosholz, Edwin D.","contributorId":171563,"corporation":false,"usgs":false,"family":"Grosholz","given":"Edwin D.","affiliations":[],"preferred":false,"id":637939,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":637426,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Luckenbach, Mark W.","contributorId":171564,"corporation":false,"usgs":false,"family":"Luckenbach","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":637940,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McGraw, Kay A.","contributorId":171565,"corporation":false,"usgs":false,"family":"McGraw","given":"Kay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637941,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Piehler, Michael F.","contributorId":171566,"corporation":false,"usgs":false,"family":"Piehler","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":637942,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Westby, Stephanie R.","contributorId":171567,"corporation":false,"usgs":false,"family":"Westby","given":"Stephanie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":637943,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"zu Ermgassen, Philine S. E.","contributorId":171568,"corporation":false,"usgs":false,"family":"zu Ermgassen","given":"Philine S. E.","affiliations":[],"preferred":false,"id":637944,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70173592,"text":"70173592 - 2015 - Evaluation of methods for assessing physiological biomarkers of stress in freshwater mussels","interactions":[],"lastModifiedDate":"2016-06-13T14:44:27","indexId":"70173592","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of methods for assessing physiological biomarkers of stress in freshwater mussels","docAbstract":"Freshwater mussel populations are highly susceptible to environmental alterations because of their diminished numbers and primarily sessile behaviors; nonlethal biomonitoring programs are needed to evaluate the health of populations prior to mass mortality events. Our objectives were to determine (i) which biochemical parameters in freshwater mussel hemolymph could be consistently quantified, (ii) how hemolymph parameters and tissue glycogen respond to a thermal stress gradient (25, 30, and 35 °C), and (iii) the effects of tissue and hemolymph extraction on long-term growth and survival of smaller- and larger-bodied mussel species. Glucose exhibited elevated expression in both species with increasing water temperature. Two transaminase enzymes had elevated expression in the 30 °C treatment. The effects of hemolymph extraction and tissue biopsies were evaluated with a large-bodied species, Elliptio crassidens, and a smaller species, Villosa vibex. Individuals were monitored for 820 to 945 days after one of four treatments: hemolymph extraction, tissue biopsy, tissue and hemolymph extraction, and control. Hemolymph extraction and tissue biopsy adversely affected survival of V. vibex, suggesting that these extraction methods may add some risk of reduced survival to smaller-bodied species. Survival of E. crassidens was not impaired by any of the treatments, supporting the use of these techniques in nonlethal biomonitoring programs for larger-bodied mussel species.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0564","usgsCitation":"Fritts, A., Peterson, J., Hazelton, P.D., and Bringolf, R.B., 2015, Evaluation of methods for assessing physiological biomarkers of stress in freshwater mussels: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 10, p. 1450-1459, https://doi.org/10.1139/cjfas-2014-0564.","productDescription":"10 p.","startPage":"1450","endPage":"1459","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059689","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92de4b04f417c2baa16","contributors":{"authors":[{"text":"Fritts, Andrea K.","contributorId":139240,"corporation":false,"usgs":false,"family":"Fritts","given":"Andrea K.","affiliations":[],"preferred":false,"id":638576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":171765,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bringolf, Robert B.","contributorId":139241,"corporation":false,"usgs":true,"family":"Bringolf","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173596,"text":"70173596 - 2015 - An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management","interactions":[],"lastModifiedDate":"2016-06-09T16:01:36","indexId":"70173596","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management","docAbstract":"Fishery biologists are increasingly recognizing the importance of considering the dynamic nature of streams when developing streamflow policies. Such approaches require information on how flow regimes influence the physical environment and how those factors, in turn, affect species-specific demographic rates. A more cost-effective alternative could be the use of dynamic occupancy models to predict how species are likely to respond to changes in flow. To appraise the efficacy of this approach, we evaluated relative support for hypothesized effects of seasonal streamflow components, stream channel characteristics, and fish species traits on local extinction, colonization, and recruitment (meta-demographic rates) of stream fishes. We used 4 years of seasonal fish collection data from 23 streams to fit multistate, multiseason occupancy models for 42 fish species in the lower Flint River Basin, Georgia. Modelling results suggested that meta-demographic rates were influenced by streamflows, particularly short-term (10-day) flows. Flow effects on meta-demographic rates also varied with stream size, channel morphology, and fish species traits. Small-bodied species with generalized life-history characteristics were more resilient to flow variability than large-bodied species with specialized life-history characteristics. Using this approach, we simplified the modelling framework, thereby facilitating the development of dynamic, spatially explicit evaluations of the ecological consequences of water resource development activities over broad geographic areas. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","doi":"10.1002/rra.2835","usgsCitation":"Peterson, J., and Shea, C., 2015, An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management: River Research and Applications, v. 31, no. 10, p. 1227-1241, https://doi.org/10.1002/rra.2835.","productDescription":"10 p.","startPage":"1227","endPage":"1241","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055636","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.8858642578125,\n 30.718226523201352\n ],\n [\n -84.2816162109375,\n 30.7937555812177\n ],\n [\n -84.0234375,\n 31.168159735435708\n ],\n [\n -84.034423828125,\n 31.637013986617973\n ],\n [\n -84.35028076171875,\n 31.800558330295235\n ],\n [\n -84.5672607421875,\n 31.884554393746278\n ],\n [\n -84.85015869140625,\n 31.828565514766165\n ],\n [\n -84.8858642578125,\n 30.718226523201352\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-17","publicationStatus":"PW","scienceBaseUri":"575a932fe4b04f417c275122","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":638342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70145159,"text":"70145159 - 2015 - The continuing medical mystery of Balkan Endemic Nephropathy","interactions":[],"lastModifiedDate":"2016-06-17T11:24:28","indexId":"70145159","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5027,"text":"Journal of Rare Diseases","active":true,"publicationSubtype":{"id":10}},"title":"The continuing medical mystery of Balkan Endemic Nephropathy","docAbstract":"Balkan Endemic Nephropathy (BEN) is a disease of subtle onset and insidious progression that typically occurs between the 4th and 6th decade in long‐resident individuals in highly specific geographic locations of the Balkan region and affects 1 – 5% of the population. Though it does not follow typical Mendelian genetics, there is a familial pattern of occurrence. Although residents may live only a few kilometers apart, certain locations are highly affected while others close by, even as close as across the road, remain unscathed. Because of this geographic selectivity scientists have searched for an environmental cause. It is thought that exposure to the toxic plant Aristolochia clematitis is to blame. Genotoxic N‐heterocyclic or polycyclic aromatic containing coal water leachates entering cultivated soil and drinking water are also a possible cause due to the proximity and predictive power of endemic foci to coal deposits. Evidence for Ochratoxin A fungal poisoning also exists. High levels of phthalates have been measured in BEN‐endemic drinking water. BEN is a probably a multifactorial disease that may result from exposure through some of above‐mentioned environmental sources, with genetic factors contributing. This review will discuss recent research concerning the etiology, potential therapies for the treatment of nephropathy, and unexplored research directions for this chronic kidney disease.
","language":"English","publisher":"Dowden Pub. Co.","publisherLocation":"Montvale, NJ","usgsCitation":"Crosby, L.M., Tatu, C.A., Orem, W.H., and Pavlovic MD PhD, N., 2015, The continuing medical mystery of Balkan Endemic Nephropathy: Journal of Rare Diseases, v. 3, no. 2, p. 22-37.","productDescription":"16 p.","startPage":"22","endPage":"37","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063091","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":323877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312923,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.journalofraredisorders.com/Issues/September/2015.htm","linkFileType":{"id":1,"text":"pdf"}}],"volume":"3","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57651f3be4b07657d19c7939","contributors":{"authors":[{"text":"Crosby, Lynn M. lcrosby@usgs.gov","contributorId":369,"corporation":false,"usgs":true,"family":"Crosby","given":"Lynn","email":"lcrosby@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":543991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tatu, Calin A. ctatu@usgs.gov","contributorId":5437,"corporation":false,"usgs":true,"family":"Tatu","given":"Calin","email":"ctatu@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":543992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":543990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavlovic MD PhD, Nikola","contributorId":140058,"corporation":false,"usgs":false,"family":"Pavlovic MD PhD","given":"Nikola","affiliations":[{"id":13369,"text":"Clinic of Nephrology, Clinical Centre, Nis, Serbia","active":true,"usgs":false}],"preferred":false,"id":543993,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160270,"text":"70160270 - 2015 - New insight into California’s drought through open data","interactions":[],"lastModifiedDate":"2016-06-17T11:18:12","indexId":"70160270","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5024,"text":"BayGEO Journal","active":true,"publicationSubtype":{"id":10}},"title":"New insight into California’s drought through open data","docAbstract":"Historically unprecedented drought in California has brought water issues to the forefront of the nation’s attention. Crucial investigations that concern water policy, management, and research, in turn, require extensive information about the quality and quantity of California’s water. Unfortunately, key sources of pertinent data are unevenly distributed and frequently hard to find. Thankfully, the vital importance of integrating water data across federal, state, and tribal, academic, and private entities, has recently been recognized and addressed through federal initiatives such as the Climate Data Initiative of President Obama’s Climate Action Plan and the Advisory Committee on Water Information’sOpen Water Data Initiative. Here, we demonstrate an application of integrated open water data, visualized and made available online using open source software, for the purpose of exploring the impact of the current California drought. Our collaborative approach and technical tools enabled a rapid, distributed development process. Many positive outcomes have resulted: the application received recognition within and outside of the Federal Government, inspired others to visualize open water data, spurred new collaborations for our group, and strengthened the collaborative relationships within the team of developers. In this article, we describe the technical tools and collaborative process that enabled the success of the application.
","language":"English","usgsCitation":"Read, E.K., Bucknell, M., Hines, M., Kreft, J., Lucido, J., Read, J.S., Schroedl, C., Sibley, D.M., Stephan, S., Suftin, I., Thongsavanh, P., Van Den Hoek, J., Walker, J.I., Wernimont, M.R., Winslow, L., and Yan, A.N., 2015, New insight into California’s drought through open data: BayGEO Journal, v. 8, no. 1, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065881","costCenters":[],"links":[{"id":323875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312354,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://journal.baygeo.org/new-insight-into-californias-drought-through-open-data/"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57651f39e4b07657d19c790a","contributors":{"authors":[{"text":"Read, Emily K. 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":5815,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","middleInitial":"K.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":false,"id":582376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bucknell, Mary mbucknell@usgs.gov","contributorId":150604,"corporation":false,"usgs":true,"family":"Bucknell","given":"Mary","email":"mbucknell@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, Megan 0000-0002-9845-4849 mhines@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-4849","contributorId":4783,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","email":"mhines@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":582378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kreft, James M. jkreft@usgs.gov","contributorId":250,"corporation":false,"usgs":true,"family":"Kreft","given":"James M.","email":"jkreft@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":false,"id":582379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucido, Jessica M. jlucido@usgs.gov","contributorId":4695,"corporation":false,"usgs":true,"family":"Lucido","given":"Jessica M.","email":"jlucido@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582381,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schroedl, Carl cschroedl@usgs.gov","contributorId":150605,"corporation":false,"usgs":true,"family":"Schroedl","given":"Carl","email":"cschroedl@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582382,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sibley, David M. dmsibley@usgs.gov","contributorId":4813,"corporation":false,"usgs":true,"family":"Sibley","given":"David","email":"dmsibley@usgs.gov","middleInitial":"M.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582383,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stephan, Shirley sstephan@usgs.gov","contributorId":150606,"corporation":false,"usgs":true,"family":"Stephan","given":"Shirley","email":"sstephan@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data 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Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":582386,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582387,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wernimont, Martin R 0000-0002-2127-8568 mwernimont@usgs.gov","orcid":"https://orcid.org/0000-0002-2127-8568","contributorId":5662,"corporation":false,"usgs":true,"family":"Wernimont","given":"Martin","email":"mwernimont@usgs.gov","middleInitial":"R","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582388,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Winslow, Luke A. lwinslow@usgs.gov","contributorId":150344,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke A.","email":"lwinslow@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":false,"id":582389,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yan, Andrew N. ayan@usgs.gov","contributorId":5648,"corporation":false,"usgs":true,"family":"Yan","given":"Andrew","email":"ayan@usgs.gov","middleInitial":"N.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582390,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70174828,"text":"70174828 - 2015 - Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas","interactions":[],"lastModifiedDate":"2016-07-18T12:17:42","indexId":"70174828","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas","docAbstract":"Historical lead and zinc mining in the Tri-State Mining District (TSMD), located in parts of southeast Kansas, southwest Missouri, and northeast Oklahoma, has resulted in a substantial ongoing input of lead and zinc to the environment (Juracek, 2006; Juracek and Becker, 2009). In response to concern about the mining-related contamination, southeast Cherokee County, Kansas, was listed on the U.S. Environmental Protection Agency’s (USEPA) National Priority List as a Superfund hazardous waste site (fig. 1). To provide some of the information needed to support remediation efforts in the Cherokee County Superfund site, a study was begun in 2009 by the U.S. Geological Survey (USGS) that was requested and funded by USEPA. As part of the study, surficial-soil sampling was used to investigate the extent and magnitude of mining-related lead and zinc contamination in the flood plains of the Spring River and several tributaries within the Superfund site. In mining-affected areas, flood-plain soils had lead and zinc concentrations that far exceeded background levels as well as probable-effects guidelines for toxic aquatic biological effects (Juracek, 2013). Lead- and zinc-contaminated flood plains are a concern, in part, because they represent a long-term source of contamination to the fluvial environment.
\nAn important issue is the within-site representativeness of the surficial-soil samples collected. Specifically, the question is whether or not the samples collected provide an acceptable representation of the lead and zinc concentrations at each site for the purpose of characterizing and comparing sites. The distribution of mining-contaminated sediment on flood plains is determined by several factors including the size and density of the contaminated particles, flood-plain width and topography, flood characteristics (frequency, magnitude, duration), and fluvial geomorphic processes. To evaluate within-site representativeness, additional samples were simultaneously collected to assess within-site variability. In this paper, the specific objectives were to:
\n","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling (SEDHYD 2015)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling (SEDHYD 2015)","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"SEDHYD","usgsCitation":"Juracek, K.E., 2015, Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas, in 2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling (SEDHYD 2015), Reno, NV, April 19-23, 2015, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045073","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":325365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325364,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/proceedings"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdb9e4b0f1bea0e0f8e6","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160350,"text":"70160350 - 2015 - Evaluation of multiple-frequency, active and passive acoustics as surrogates for bedload transport","interactions":[],"lastModifiedDate":"2016-01-11T10:53:08","indexId":"70160350","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of multiple-frequency, active and passive acoustics as surrogates for bedload transport","docAbstract":"
The use of multiple-frequency, active acoustics through deployment of acoustic Doppler current profilers (ADCPs) shows potential for estimating bedload in selected grain size categories. The U.S. Geological Survey (USGS), in cooperation with the University of Montana (UM), evaluated the use of multiple-frequency, active and passive acoustics as surrogates for bedload transport during a pilot study on the Kootenai River, Idaho, May 17-18, 2012. Four ADCPs with frequencies ranging from 600 to 2000 kHz were used to measure apparent moving bed velocities at 20 stations across the river in conjunction with physical bedload samples. Additionally, UM scientists measured the sound frequencies of moving particles with two hydrophones, considered passive acoustics, along longitudinal transects in the study reach. Some patterns emerged in the preliminary analysis which show promise for future studies. Statistically significant relations were successfully developed between apparent moving bed velocities measured by ADCPs with frequencies 1000 and 1200 kHz and bedload in 0.5 to 2.0 mm grain size categories. The 600 kHz ADCP seemed somewhat sensitive to the movement of gravel bedload in the size range 8.0 to 31.5 mm, but the relation was not statistically significant. The passive hydrophone surveys corroborated the sample results and could be used to map spatial variability in bedload transport and to select a measurement cross-section with moving bedload for active acoustic surveys and physical samples.
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Easy-to-use FLCC data are needed to quantify the impacts of FLC on ecosystem dynamics during hot, dry Mediterranean climate summers. FLCC indices were generated from 26,000 hourly night and day FLCC maps derived from Geostationary Environmental Operational Satellite (GOES) data for June, July, August, and September, 1999- 2009 for coastal California, latitude 34.50°N, south of Monterey Bay, to latitude 41.95°N, north of Crescent City. Monthly FLCC average hours per day (h/d) range from < 2 to 18. Average FLCC over the ocean increases from north (9 h/d) to south (14 h/d) whereas FLCC over land is reversed. Over land, FLCC is highest where land juts into the prevailing NW winds and is lowest in the lee of major capes. FLCC advects furthest inland through low-lying NW ocean-facing valleys. At night hours of FLCC is higher more frequently on land than over the ocean. Interannual FLCC coefficient of variation shows long term geographic stability strongly associated with landform position. Contours delineating homogeneous zones of FLCC, derived from average decadal h/d FLCC, provide data to refine the commonly used term ‘fog belt.’ FLCC indices are available for download from the California Landscape Conservation Cooperative Climate Commons website. FLCC indices can be used to improve analyses of biogeographic and bioclimatic species distribution models, meteorological mechanisms driving FLCC patterns, ecohydrological investigations of evapotranspiration, solar energy feasibility studies, agricultural irrigation demand and viticultural ripening models.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Hoboken, NJ","doi":"10.1002/2015EA000119","usgsCitation":"Torregrosa, A.A., Combs, C., and Peters, J., 2015, GOES-derived fog and low cloud indices for coastal north and central California ecological analyses: Earth and Space Science, v. 3, no. 2, p. 46-67, https://doi.org/10.1002/2015EA000119.","productDescription":"22 p.","startPage":"46","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059929","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015ea000119","text":"Publisher Index Page"},{"id":323876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-04","publicationStatus":"PW","scienceBaseUri":"57651f34e4b07657d19c78a1","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":582024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Combs, Cindy","contributorId":150538,"corporation":false,"usgs":false,"family":"Combs","given":"Cindy","email":"","affiliations":[{"id":18046,"text":"2Cooperative Institute for Research in the Atmosphere; Colorado State University, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":582025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":582026,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}