Environmental 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":70160922,"text":"70160922 - 2015 - Insights into controls on hexavalent chromium in groundwater provided by environmental tracers, Sacramento Valley, California, USA","interactions":[],"lastModifiedDate":"2016-01-05T10:11:06","indexId":"70160922","displayToPublicDate":"2016-01-05T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Insights into controls on hexavalent chromium in groundwater provided by environmental tracers, Sacramento Valley, California, USA","docAbstract":"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.
\nThis 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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\"}}]}","contact":"Director, Iowa Water Science Center
U.S. Geological Survey
P.O. Box 1230
Iowa City, IA 52244
http://ia.water.usgs.gov
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":70176189,"text":"70176189 - 2015 - Hydraulic modeling development and application in water resources engineering","interactions":[],"lastModifiedDate":"2016-09-01T13:04:20","indexId":"70176189","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hydraulic modeling development and application in water resources engineering","docAbstract":"The use of modeling has become widespread in water resources engineering and science to study rivers, lakes, estuaries, and coastal regions. For example, computer models are commonly used to forecast anthropogenic effects on the environment, and to help provide advanced mitigation measures against catastrophic events such as natural and dam-break floods. Linking hydraulic models to vegetation and habitat models has expanded their use in multidisciplinary applications to the riparian corridor. Implementation of these models in software packages on personal desktop computers has made them accessible to the general engineering community, and their use has been popularized by the need of minimal training due to intuitive graphical user interface front ends. Models are, however, complex and nontrivial, to the extent that even common terminology is sometimes ambiguous and often applied incorrectly. In fact, many efforts are currently under way in order to standardize terminology and offer guidelines for good practice, but none has yet reached unanimous acceptance. This chapter provides a view of the elements involved in modeling surface flows for the application in environmental water resources engineering. It presents the concepts and steps necessary for rational model development and use by starting with the exploration of the ideas involved in defining a model. Tangible form of those ideas is provided by the development of a mathematical and corresponding numerical hydraulic model, which is given with a substantial amount of detail. The issues of model deployment in a practical and productive work environment are also addressed. The chapter ends by presenting a few model applications highlighting the need for good quality control in model validation.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in water resources engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-11023-3_6","usgsCitation":"Simoes, F.J., 2015, Hydraulic modeling development and application in water resources engineering, chap. of Advances in water resources engineering, v. 14, p. 247-295, https://doi.org/10.1007/978-3-319-11023-3_6.","productDescription":"49 p.","startPage":"247","endPage":"295","ipdsId":"IP-057289","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-06","publicationStatus":"PW","scienceBaseUri":"57c9512ee4b0f2f0cec15bef","contributors":{"editors":[{"text":"Yang, Chih Ted","contributorId":51798,"corporation":false,"usgs":true,"family":"Yang","given":"Chih","email":"","middleInitial":"Ted","affiliations":[],"preferred":false,"id":647750,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Lawrence K.","contributorId":174222,"corporation":false,"usgs":false,"family":"Wang","given":"Lawrence","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647751,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647665,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175692,"text":"70175692 - 2015 - A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model","interactions":[],"lastModifiedDate":"2018-07-24T10:59:55","indexId":"70175692","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model","docAbstract":"Closed depressions on the land surface can be identified by ‘filling’ a digital elevation model (DEM) and subtracting the filled model from the original DEM. However, automated methods suffer from artificial ‘dams’ where surface streams cross under bridges and through culverts. Removal of these false depressions from an elevation model is difficult due to the lack of bridge and culvert inventories; thus, another method is needed to breach these artificial dams. Here, we present a semi-automated workflow and toolbox to remove falsely detected closed depressions created by artificial dams in a DEM. The approach finds the intersections between transportation routes (e.g., roads) and streams, and then lowers the elevation surface across the roads to stream level allowing flow to be routed under the road. Once the surface is corrected to match the approximate location of the National Hydrologic Dataset stream lines, the procedure is repeated with sequentially smaller flow accumulation thresholds in order to generate stream lines with less contributing area within the watershed. Through multiple iterations, artificial depressions that may arise due to ephemeral flow paths can also be removed. Preliminary results reveal that this new technique provides significant improvements for flow routing across a DEM and minimizes artifacts within the elevation surface. Slight changes in the stream flow lines generally improve the quality of flow routes; however some artificial dams may persist. Problematic areas include extensive road ditches, particularly along divided highways, and where surface flow crosses beneath road intersections. Limitations do exist, and the results partially depend on the quality of data being input. Of 166 manually identified culverts from a previous study by Doctor and Young in 2013, 125 are within 25 m of culverts identified by this tool. After three iterations, 1,735 culverts were identified and cataloged. The result is a reconditioned elevation dataset, which retains the karst topography for further analysis, and a culvert catalog.
","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":15,"text":"Monograph"},"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":"10.5038/9780991000951.1057","usgsCitation":"Wall, J., Doctor, D.H., and Terziotti, S., 2015, A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model, 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. 255-262, https://doi.org/10.5038/9780991000951.1057.","productDescription":"8 p.","startPage":"255","endPage":"262","ipdsId":"IP-066736","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471533,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarcommons.usf.edu/sinkhole_2015/ProceedingswithProgram/GIS_Databases_and_Maps/5","text":"External Repository"},{"id":328120,"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":"57c7ffade4b0f2f0cebfc214","contributors":{"authors":[{"text":"Wall, John","contributorId":206495,"corporation":false,"usgs":false,"family":"Wall","given":"John","email":"","affiliations":[],"preferred":false,"id":646084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":646083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646085,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178586,"text":"70178586 - 2015 - Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM","interactions":[],"lastModifiedDate":"2017-01-20T10:36:00","indexId":"70178586","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5272,"text":"Proceedings of the International Association of Hydrological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM","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 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","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":70184221,"text":"70184221 - 2015 - Relations between soil hydraulic properties and burn severity","interactions":[],"lastModifiedDate":"2017-03-06T11:29:10","indexId":"70184221","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Relations between soil hydraulic properties and burn severity","docAbstract":"Wildfire can affect soil hydraulic properties, often resulting in reduced infiltration. The magnitude of change in infiltration varies depending on the burn severity. Quantitative approaches to link burn severity with changes in infiltration are lacking. This study uses controlled laboratory measurements to determine relations between a remotely sensed burn severity metric (dNBR, change in normalised burn ratio) and soil hydraulic properties (SHPs). SHPs were measured on soil cores collected from an area burned by the 2013 Black Forest fire in Colorado, USA. Six sites with the same soil type were selected across a range of burn severities, and 10 random soil cores were collected from each site within a 30-m diameter circle. Cumulative infiltration measurements were made in the laboratory using a tension infiltrometer to determine field-saturated hydraulic conductivity, Kfs, and sorptivity, S. These measurements were correlated with dNBR for values ranging from 124 (low severity) to 886 (high severity). SHPs were related to dNBR by inverse functions for specific conditions of water repellency (at the time of sampling) and soil texture. Both functions had a threshold value for dNBR between 124 and 420, where Kfs and S were unchanged and equal to values for soil unaffected by fire. For dNBRs >~420, the Kfs was an exponentially decreasing function of dNBR and S was a linearly decreasing function of dNBR. These initial quantitative empirical relations provide a first step to link SHPs to burn severity, and can be used in quantitative infiltration models to predict post-wildfire infiltration and resulting runoff.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF14062","usgsCitation":"Moody, J.A., Ebel, B.A., Nyman, P., Martin, D.A., Stoof, C.R., and McKinley, R., 2015, Relations between soil hydraulic properties and burn severity: International Journal of Wildland Fire, v. 25, no. 3, p. 279-293, https://doi.org/10.1071/WF14062.","productDescription":"15 p.","startPage":"279","endPage":"293","ipdsId":"IP-061603","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":336871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58be833be4b014cc3a3a99ef","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":680603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":680604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyman, Petter","contributorId":187489,"corporation":false,"usgs":false,"family":"Nyman","given":"Petter","email":"","affiliations":[],"preferred":false,"id":680605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":1900,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":680606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stoof, Cathelijne R.","contributorId":168663,"corporation":false,"usgs":false,"family":"Stoof","given":"Cathelijne","email":"","middleInitial":"R.","affiliations":[{"id":25346,"text":"Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":680607,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKinley, Randy 0000-0001-7644-6365 rmckinley@usgs.gov","orcid":"https://orcid.org/0000-0001-7644-6365","contributorId":1354,"corporation":false,"usgs":true,"family":"McKinley","given":"Randy","email":"rmckinley@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":680608,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168949,"text":"70168949 - 2015 - Context of ancient aqueous environments on Mars from in situ geologic mapping at Endeavour Crater","interactions":[],"lastModifiedDate":"2018-11-13T10:58:25","indexId":"70168949","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Context of ancient aqueous environments on Mars from in situ geologic mapping at Endeavour Crater","docAbstract":"Using the Mars Exploration Rover Opportunity, we have compiled one of the first field geologic maps on Mars while traversing the Noachian terrain along the rim of the 22 km diameter Endeavour Crater (Latitude −2°16′33″, Longitude −5°10′51″). In situ mapping of the petrographic, elemental, structural, and stratigraphic characteristics of outcrops and rocks distinguishes four mappable bedrock lithologic units. Three of these rock units predate the surrounding Burns formation sulfate-rich sandstones and one, the Matijevic Formation, represents conditions on early Mars predating the formation of Endeavour Crater. The stratigraphy assembled from these observations includes several geologic unconformities. The differences in lithologic units across these unconformities record changes in the character and intensity of the Martian aqueous environment over geologic time. Water circulated through fractures in the oldest rocks over periods long enough that texturally and elementally significant alteration occurred in fracture walls. These oldest pre-Endeavour rocks and their network of mineralized and altered fractures were preserved by burial beneath impact ejecta and were subsequently exhumed and exposed. The alteration along joints in the oldest rocks and the mineralized veins and concentrations of trace metals in overlying lithologic units is direct evidence that copious volumes of mineralized and/or hydrothermal fluids circulated through the early Martian crust. The wide range in intensity of structural and chemical modification from outcrop to outcrop along the crater rim shows that the ejecta of large (>8 km in diameter) impact craters is complex. These results imply that geologic complexity is to be anticipated in other areas of Mars where cratering has been a fundamental process in the local and regional geology and mineralogy.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JE004699","usgsCitation":"Crumpler, L., Arvidson, R., Bell, J., Clark, B.C., Cohen, B.A., Farrand, W.H., Gellert, R., Golombek, M., Grant, J.A., Guinness, E., Herkenhoff, K.E., Johnson, J.R., Jolliff, B., Ming, D.W., Mittlefehldt, D.W., Parker, T., Rice, J.W., Squyres, S.W., Sullivan, R., and Yen, A.S., 2015, Context of ancient aqueous environments on Mars from in situ geologic mapping at Endeavour Crater: Journal of Geophysical Research E: Planets, v. 120, no. 3, p. 538-569, https://doi.org/10.1002/2014JE004699.","productDescription":"32 p.","startPage":"538","endPage":"569","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056594","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014je004699","text":"Publisher Index Page"},{"id":318754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-24","publicationStatus":"PW","scienceBaseUri":"56e15744e4b00e6e761627a0","contributors":{"authors":[{"text":"Crumpler, L.S.","contributorId":81575,"corporation":false,"usgs":true,"family":"Crumpler","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":622186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, R. 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","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":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":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":70171345,"text":"70171345 - 2015 - Physiological preparedness and performance of Atlantic salmon Salmo salar smolts in relation to behavioural salinity preferences and thresholds","interactions":[],"lastModifiedDate":"2016-05-30T13:34:56","indexId":"70171345","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Physiological preparedness and performance of Atlantic salmon Salmo salar smolts in relation to behavioural salinity preferences and thresholds","docAbstract":"This study investigated the relationships between behavioural responses of Atlantic salmon Salmo salarsmolts to saltwater (SW) exposure and physiological characteristics of smolts in laboratory experiments. It concurrently described the behaviour of acoustically tagged smolts with respect to SW and tidal cycles during estuary migration. Salmo salar smolts increased their use of SW relative to fresh water (FW) from April to June in laboratory experiments. Mean preference for SW never exceeded 50% of time in any group. Preference for SW increased throughout the course of smolt development. Maximum continuous time spent in SW was positively related to gill Na+, K+-ATPase (NKA) activity and osmoregulatory performance in full-strength SW (measured as change in gill NKA activity and plasma osmolality). Smolts decreased depth upon reaching areas of the Penobscot Estuary where SW was present, and all fish became more surface oriented during passage from head of tide to the ocean. Acoustically tagged, migrating smolts with low gill NKA activity moved faster in FW reaches of the estuary than those with higher gill NKA activity. There was no difference in movement rate through SW reaches of the estuary based on gill NKA activity. Migrating fish moved with tidal flow during the passage of the lower estuary based on the observed patterns in both vertical and horizontal movements. The results indicate that smolts select low-salinity water during estuary migration and use tidal currents to minimize energetic investment in seaward migration. Seasonal changes in osmoregulatory ability highlight the importance of the timing of stocking and estuary arrival.
","language":"English","publisher":"The Fisheries Society of the British Isles","doi":"10.1111/jfb.12853","usgsCitation":"Stich, D., Zydlewski, G., and Zydlewski, J.D., 2015, Physiological preparedness and performance of Atlantic salmon Salmo salar smolts in relation to behavioural salinity preferences and thresholds: Journal of Fish Biology, v. 88, no. 2, p. 595-617, https://doi.org/10.1111/jfb.12853.","productDescription":"24 p.","startPage":"595","endPage":"617","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060915","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-22","publicationStatus":"PW","scienceBaseUri":"574d65fce4b07e28b6684a0c","contributors":{"authors":[{"text":"Stich, D.S.","contributorId":169719,"corporation":false,"usgs":false,"family":"Stich","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":630819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, G.B.","contributorId":78119,"corporation":false,"usgs":true,"family":"Zydlewski","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":630820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630681,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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.
","conferenceTitle":"SEDHYD 2015","conferenceDate":"April 19, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Wood, M.S., Fosness, R.L., Pachman, G., Lorang, M., and Tonolla, D., 2015, Evaluation of multiple-frequency, active and passive acoustics as surrogates for bedload transport, SEDHYD 2015, Reno, NV, April 19, 2015, 11 p.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060691","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":314109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314108,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/openconf/modules/request.php?module=oc_program&action=summary.php&id=81"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5694e043e4b039675d005e1d","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":582682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pachman, Gregory gpachman@usgs.gov","contributorId":150692,"corporation":false,"usgs":true,"family":"Pachman","given":"Gregory","email":"gpachman@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorang, Mark","contributorId":150693,"corporation":false,"usgs":false,"family":"Lorang","given":"Mark","affiliations":[{"id":18069,"text":"Universtiy of Montana","active":true,"usgs":false}],"preferred":false,"id":582685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tonolla, Diego","contributorId":150694,"corporation":false,"usgs":false,"family":"Tonolla","given":"Diego","email":"","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":582686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160156,"text":"70160156 - 2015 - GOES-derived fog and low cloud indices for coastal north and central California ecological analyses","interactions":[],"lastModifiedDate":"2016-06-17T11:21:37","indexId":"70160156","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"GOES-derived fog and low cloud indices for coastal north and central California ecological analyses","docAbstract":"Fog and low cloud cover (FLCC) changes the water, energy, and nutrient flux of coastal ecosystems. 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":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":582026,"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":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":70176457,"text":"70176457 - 2015 - In-situ arsenic removal during groundwater recharge through unsaturated alluvium","interactions":[],"lastModifiedDate":"2016-09-14T15:52:30","indexId":"70176457","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"In-situ arsenic removal during groundwater recharge through unsaturated alluvium","docAbstract":"OBJECTIVES
The purpose of this study was to determine the feasibility and sustainability of in-situ removal of arsenic from water infiltrated through unsaturated alluvium.
BACKGROUND
Arsenic is naturally present in aquifers throughout the southwestern United States and elsewhere. In January 2006, the U.S. Environmental Protection Agency (EPA) lowered the Maximum Contaminant Level (MCL) for arsenic from 50 to 10 micrograms per liter (g/L). This raised concerns about naturally-occurring arsenic in groundwater. Although commercially available systems using sorbent iron or aluminum oxide resins are available to treat high-arsenic water, these systems are expensive to build and operate, and may generate hazardous waste.
Iron and aluminum oxides occur naturally on the surfaces of mineral grains that compose alluvial aquifers. In areas where alluvial deposits are unsaturated, these oxides may sorb arsenic in the same manner as commercial resins, potentially providing an effective low-cost alternative to commercially engineered treatment systems.
APPROACH
The Antelope Valley within the Mojave Desert of southern California contains a shallow water-table aquifer with arsenic concentrations of 5 g/L, and a deeper aquifer with arsenic concentrations of 30 g/L. Water was pumped from the deep aquifer into a pond and infiltrated through an 80 m-thick unsaturated zone as part of field-scale and laboratory experiments to treat high-arsenic groundwater and recharge the shallow water table aquifer at the site.
The field-scale recharge experiment included the following steps: 1) construction of a recharge pond 2) test drilling for sample collection and instrument installation adjacent to the pond 3) monitoring downward migration of water infiltrated from the pond 4) monitoring changes in selected trace-element concentrations as water infiltrated through the unsaturated zone
Data from instruments within the borehole adjacent to the pond were supplemented with borehole and surface geophysical data to evaluate the lateral spreading of water as it moved downward through the unsaturated zone.
Three laboratory studies were undertaken. Sequential extraction was used to evaluate the abundance of iron, aluminum, and manganese oxides and selected trace elements on operationally defined sites on the surfaces of mineral grains collected before and after infiltration from the pond. Secondly, radio-labeled arsenic-73 microcosm experiments evaluated the potential for incorporation of arsenic sorbed to exchange sites on mineral grains into less reactive crystalline mineral structures with time. Finally, column studies evaluated arsenic sorption and the pH dependence of sorption for selected unsaturated zone materials.
RESULTS/CONCLUSIONS
Between December 2010 and July 2012, more than 120,000 cubic meters (m3 ) (about 97 acre-feet) of high-arsenic groundwater was pumped from the deep aquifer into a 0.11 hectare (about 0.27 acres) pond and infiltrated though an 80-meter (about 260 feet) thick unsaturated zone to recharge a water-table aquifer.
Arsenic concentrations were lowered from 30 to 2 g/L as water infiltrated though the unsaturated zone at the site. Some uranium, possibly associated with past agricultural land use at the site, was mobilized to concentrations as high as 66 g/L within the unsaturated zone during the experiment. Uranium was resorbed and the high uranium concentrations did not reach the water table at the site. Concentrations of other trace elements, including antimony, chromium, vanadium, and selenium were low throughout the study.
Infiltration rates from the pond were as high as 0.4 meters per day (1.1 feet per day, ft/d), and the wetting front moved downward about 25 centimeters per day (cm/d) (0.8 ft/d) to a depth of about 50 m (about 165 feet). Clay layers at that depth slowed the downward movement of the wetting front to about 5 cm/d (0.16 ft/d). Lateral movement of the wetting front was monitored using sequential direct-current (DC) surface and sequential electromagnetic (EM) and DC borehole resistivity. Most lateral movement occurred on a clay layer about 50 m (about 165 feet) below land surface. Infiltrated water reached the water table in January 2013. At the water table, the “wetted footprint” of water infiltrated from the pond, indicated by surface resistivity data, was about 13 hectares (about 32 acres). On the basis of data collected at the site, there is enough sorbent material to operate this pond and treat groundwater having an arsenic concentration of 30 g/L to 2 g/L for about 500 years. Toxicity Characteristic Leaching Procedure (TCLP) data showed arsenic concentrations to be below hazardous levels beneath the pond after the experiment. Pond maintenance may be required to keep infiltration rates high, and prevent accumulation of organic material on the pond bottom, although organic material on the pond bottom may increase removal of other trace elements in infiltrated water including chromium, selenium, and vanadium.
Laboratory results are consistent with the field data and show sorption of arsenic in 10 cm (0.3 feet) columns to about 2 g/L over a pH range of 6 to 8, and at influent arsenic concentrations as high as 300 g/L, without breakthrough in 50 pore volumes. Column results suggest that the insitu treatment may remove arsenic in a range of hydrogeologic settings, and would not necessarily be restricted to alkaline alluvial aquifers common throughout the southwestern United States. Radiolabeled arsenic-73 experiments show that although arsenic is initially weakly sorbed (and potentially mobile), with time arsenic is incorporated into amorphous materials. One year after sorption onto surface exchange sites, most sorbed arsenic is incorporated into crystalline oxide minerals on the surfaces of primary mineral grains and is less mobile.
Results of the study suggest that long-term land use restrictions on sites used for in-situ treatment of arsenic may not be needed to control water applied to surface materials. This minimizes some regulatory concerns about future land use at sites used for in-situ arsenic treatment. However, future land uses that may alter reduction-oxidation conditions in the subsurface should be avoided, such as infiltration of stormwater recharge or recharge with other water having high organic carbon concentrations (including unsewered residential land use, dairy or other confined animal operations).
","language":"English","publisher":"Water Resource Foundation","usgsCitation":"O’Leary, D., Izbicki, J.A., Kim, T., Ajawani, C., Suarez, D., Barnes, T., Kulp, T., Burgess, M.K., and Tseng, I., 2015, In-situ arsenic removal during groundwater recharge through unsaturated alluvium, v. 4299, xix, 59 p.","productDescription":"xix, 59 p.","numberOfPages":"80","ipdsId":"IP-046006","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328657,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.waterrf.org/Pages/Projects.aspx?PID=4299"}],"volume":"4299","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57da74b4e4b090824ffb7e4e","contributors":{"authors":[{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":648815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, T.J.","contributorId":174624,"corporation":false,"usgs":false,"family":"Kim","given":"T.J.","email":"","affiliations":[{"id":27483,"text":"LA County Department of Public Works","active":true,"usgs":false}],"preferred":false,"id":648816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajawani, Clark","contributorId":174625,"corporation":false,"usgs":false,"family":"Ajawani","given":"Clark","email":"","affiliations":[{"id":27483,"text":"LA County Department of Public Works","active":true,"usgs":false}],"preferred":false,"id":648817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suarez, Donald","contributorId":174626,"corporation":false,"usgs":false,"family":"Suarez","given":"Donald","email":"","affiliations":[{"id":27484,"text":"U.S. Dept. of Agriculture Soil Salinity Laboratory","active":true,"usgs":false}],"preferred":false,"id":648818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnes, Thomas","contributorId":174627,"corporation":false,"usgs":false,"family":"Barnes","given":"Thomas","email":"","affiliations":[{"id":27485,"text":"Antelope Valley East Kern Water District","active":true,"usgs":false}],"preferred":false,"id":648819,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kulp, Thomas","contributorId":174628,"corporation":false,"usgs":false,"family":"Kulp","given":"Thomas","email":"","affiliations":[{"id":27486,"text":"State University of New York, Binghampton","active":true,"usgs":false}],"preferred":false,"id":648820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burgess, Matthew K. 0000-0002-2828-8910 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":2115,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":648821,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tseng, Iwen","contributorId":174629,"corporation":false,"usgs":false,"family":"Tseng","given":"Iwen","email":"","affiliations":[{"id":27487,"text":"County of Los Angeles Department of Public Works, Alhambra, CA","active":true,"usgs":false}],"preferred":false,"id":648822,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70173656,"text":"70173656 - 2015 - A predictive model to inform adaptive management of double-crested cormorants and fisheries in Michigan","interactions":[],"lastModifiedDate":"2016-06-08T09:28:11","indexId":"70173656","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"A predictive model to inform adaptive management of double-crested cormorants and fisheries in Michigan","docAbstract":"The proliferation of double-crested cormorants (DCCOs; 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By combining fish surplus production and bird functional feeding response models, we developed a deterministic predictive model representing bird–fish interactions to inform an adaptive management process for the control of DCCOs in multiple colonies in Michigan. Comparisons of model predictions with observations of changes in DCCO numbers under management measures implemented from 2004 to 2012 suggested that our relatively simple model was able to accurately reconstruct past DCCO population dynamics. These comparisons helped discriminate among alternative parameterizations of demographic processes that were poorly known, especially site fidelity. Using sensitivity analysis, we also identified remaining critical uncertainties (mainly in the spatial distributions of fish vs. DCCO feeding areas) that can be used to prioritize future research and monitoring needs. Model forecasts suggested that continuation of existing control efforts would be sufficient to achieve long-term DCCO control targets in Michigan and that DCCO control may be necessary to achieve management goals for some DCCO-impacted fisheries in the state. Finally, our model can be extended by accounting for parametric or ecological uncertainty and including more complex assumptions on DCCO–fish interactions as part of the adaptive management process.
","language":"English","publisher":"Wiley","doi":"10.1111/nrm.12071","usgsCitation":"Tsehaye, I., Jones, M., Irwin, B.J., Fielder, D., Breck, J.E., and Luukkonen, D., 2015, A predictive model to inform adaptive management of double-crested cormorants and fisheries in Michigan: Natural Resource Modeling, v. 28, no. 3, p. 348-376, https://doi.org/10.1111/nrm.12071.","productDescription":"29 p.","startPage":"348","endPage":"376","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060377","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-25","publicationStatus":"PW","scienceBaseUri":"575941b4e4b04f417c256778","contributors":{"authors":[{"text":"Tsehaye, Iyob","contributorId":106801,"corporation":false,"usgs":true,"family":"Tsehaye","given":"Iyob","email":"","affiliations":[],"preferred":false,"id":637805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Michael L.","contributorId":119922,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":637806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fielder, David G.","contributorId":85434,"corporation":false,"usgs":true,"family":"Fielder","given":"David G.","affiliations":[],"preferred":false,"id":637807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breck, James E.","contributorId":171518,"corporation":false,"usgs":false,"family":"Breck","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":637808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luukkonen, David R.","contributorId":111336,"corporation":false,"usgs":true,"family":"Luukkonen","given":"David R.","affiliations":[],"preferred":false,"id":637809,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173744,"text":"70173744 - 2015 - Blood lead exposure concentrations in mottled ducks (Anas fulvigula) on the upper Texas coast","interactions":[],"lastModifiedDate":"2016-06-08T14:29:59","indexId":"70173744","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Blood lead exposure concentrations in mottled ducks (Anas fulvigula) on the upper Texas coast","docAbstract":"The mottled duck (Anas fulvigula) is a non-migratory waterfowl species dependent upon coastal marsh systems, including those on the Texas Chenier Plain National Wildlife Refuge (NWR) Complex, and considered a regional indicator species of marsh habitat quality. Research from the early 1970s, 1990s, and early-2000s indicated that mottled ducks continued to exhibit elevated wing-bone lead (Pb) concentrations, decades after implementation of non-toxic shot regulations. However, wing-bone concentrations reflect lifetime accumulation of Pb, whereas blood Pb concentrations reflect more recent exposure. To identify current potentially relevant temporal windows of Pb exposure, we collected 260 blood samples from mottled ducks during summer (n=124) and winter (n=136) from 2010–2012 on the Texas Chenier Plain NWR Complex. We quantified baseline blood Pb concentrations for all ages of mottled ducks, and hypothesized that blood lead concentrations would remain elevated above background levels (200 µg L–1) despite the 1983 and 1991 lead shot bans. Blood Pb concentrations ranged from below detection limits to >12,000 µg L–1, where >200 µg L–1 was associated with exposure levels above background concentrations. Male mottled ducks had the greatest blood Pb concentrations (30 times greater than females) with concentrations greater during winter than summer. Likewise, the proportion of exposed (>200 µg L–1) females increased from 14%–47% from summer to winter, respectively. Regardless of sex, adult mottled duck blood Pb concentrations were five times greater than juveniles, particularly during winter. We identified five plausible models that influenced blood Pb levels where year, site, and interactions among age*sex*season and between age*season were included in the top-ranked models. Frequency of exposure was greatest during winter, increasing from 12% in summer to 55% in winter, indicating that a temporal exposure window to environmental Pb exists between nesting and hunting seasons. Blood Pb concentrations remain elevated in mottled ducks despite Pb shot bans enacted >25 years prior to this study. If Pb levels in mottled ducks becomes a conservation concern, regional monitoring of blood Pb concentrations would be appropriate with a focus upon elucidating potential reasons for the variation among age and sex groups. Finally, identifying potentially available sources of environmental Pb may be key to minimizing this apparently persistent threat to mottled ducks on the upper Texas coast.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"McDowell, S.K., Conway, W.C., Haukos, D.A., Moon, J.A., Comer, C.E., and Hung, I., 2015, Blood lead exposure concentrations in mottled ducks (Anas fulvigula) on the upper Texas coast: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 2, p. 221-228.","productDescription":"8 p.","startPage":"221","endPage":"228","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057823","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323296,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/html/journals/individual_article.php?id=112&year=2015"}],"volume":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941c1e4b04f417c2567a9","contributors":{"authors":[{"text":"McDowell, Stephen K.","contributorId":171603,"corporation":false,"usgs":false,"family":"McDowell","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":638079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moon, Jena A.","contributorId":171483,"corporation":false,"usgs":false,"family":"Moon","given":"Jena","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":638081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comer, Christopher E.","contributorId":166690,"corporation":false,"usgs":false,"family":"Comer","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":32360,"text":"Stephen F. Austin State University, Nacogdoches, TX","active":true,"usgs":false}],"preferred":false,"id":638082,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hung, I-Kuai","contributorId":166691,"corporation":false,"usgs":false,"family":"Hung","given":"I-Kuai","email":"","affiliations":[],"preferred":false,"id":638083,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173547,"text":"70173547 - 2015 - Population characteristics of channel catfish near the northern edge of their distribution: implications for management","interactions":[],"lastModifiedDate":"2016-06-22T15:19:00","indexId":"70173547","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population characteristics of channel catfish near the northern edge of their distribution: implications for management","docAbstract":"Channel catfish, Ictalurus punctatus (Rafinesque), populations in six lakes in northern Idaho, USA, were sampled to describe their population characteristics. During the summers of 2011 and 2012, 4864 channel catfish were sampled. Channel catfish populations had low to moderate catch rates, and length structure was dominated by fish <400 mm. Channel catfish were in good body condition. All populations were maintained by stocking age-1 or age-2 fish. Growth of fish reared in thermally enriched environments prior to stocking was fast compared to other North American channel catfish populations. After stocking, growth of channel catfish declined rapidly. Once stocked, cold water temperatures, prey resources and (or) genetic capabilities limited growth. Total annual mortality of age 2 and older channel catfish was generally <40%. Tag returns indicated that angler exploitation was low, varying from 0 to 43% among lakes. This research provides insight on factors regulating channel catfish population dynamics and highlights important considerations associated with their ecology and management.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"New York, NY","doi":"10.1111/fme.12156","usgsCitation":"Carter-Lynn, K.P., and Quist, M.C., 2015, Population characteristics of channel catfish near the northern edge of their distribution: implications for management: Fisheries Management and Ecology, v. 22, no. 6, p. 530-538, https://doi.org/10.1111/fme.12156.","productDescription":"9 p.","startPage":"530","endPage":"538","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-26","publicationStatus":"PW","scienceBaseUri":"576bb6b9e4b07657d1a2292c","chorus":{"doi":"10.1111/fme.12156","url":"http://dx.doi.org/10.1111/fme.12156","publisher":"Wiley-Blackwell","authors":"Carter-Lynn K. P., Quist M. C., Liter M.","journalName":"Fisheries Management and Ecology","publicationDate":"11/26/2015"},"contributors":{"authors":[{"text":"Carter-Lynn, K. P.","contributorId":171804,"corporation":false,"usgs":false,"family":"Carter-Lynn","given":"K.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":640433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637286,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171518,"text":"70171518 - 2015 - Implications of climate and land use change","interactions":[],"lastModifiedDate":"2021-04-09T16:07:47.348874","indexId":"70171518","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Implications of climate and land use change","docAbstract":"This chapter relates ecosystem services to climate change and land use. The bulk of the chapter focuses on ecosystem services and steepland land use in the humid Neotropics – what is lost with land-cover changed, and what is gained with various types of restoration that are sustainable given private ownership. Many case studies are presented later in the white paper. The USGS contribution relates to climate change and the role of extreme weather events in land-use planning.
","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., Murgueitio, E., Calle, Z., Raudsepp-Hearne, C., Stallard, R.F., and Balvanera, P., 2015, Implications of climate and land use change, chap. 4 of Managing watersheds for ecosystem services in the steepland neotropics, p. 58-66.","productDescription":"9 p.","startPage":"58","endPage":"66","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065664","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":325124,"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":"579dcffae4b0589fa1cbda11","contributors":{"editors":[{"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":642264,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"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":642265,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Yanguas-Fernandez, Estrella","contributorId":172253,"corporation":false,"usgs":false,"family":"Yanguas-Fernandez","given":"Estrella","email":"","affiliations":[],"preferred":false,"id":642266,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"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":631567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murgueitio, Enrique","contributorId":169941,"corporation":false,"usgs":false,"family":"Murgueitio","given":"Enrique","email":"","affiliations":[{"id":25633,"text":"CIPAV - Centro para la Investigación en Sistemas Sostenibles de Producción Agropecuaria, Cali, Colombia","active":true,"usgs":false}],"preferred":false,"id":631568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calle, Zoraida","contributorId":169942,"corporation":false,"usgs":false,"family":"Calle","given":"Zoraida","email":"","affiliations":[{"id":25633,"text":"CIPAV - Centro para la Investigación en Sistemas Sostenibles de Producción Agropecuaria, Cali, Colombia","active":true,"usgs":false}],"preferred":false,"id":631569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raudsepp-Hearne, Ciara","contributorId":169943,"corporation":false,"usgs":false,"family":"Raudsepp-Hearne","given":"Ciara","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":631570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":631566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balvanera, Patricia","contributorId":169944,"corporation":false,"usgs":false,"family":"Balvanera","given":"Patricia","email":"","affiliations":[{"id":25634,"text":"entro de Investigaciones en Ecosistemas, Universidad Nacional Autónoma de México, México D.F., México","active":true,"usgs":false}],"preferred":false,"id":631571,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70170992,"text":"70170992 - 2015 - Serologic evidence of influenza A (H14) virus introduction into North America","interactions":[],"lastModifiedDate":"2016-05-17T09:01:41","indexId":"70170992","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Serologic evidence of influenza A (H14) virus introduction into North America","docAbstract":"Although a diverse population of influenza A viruses (IAVs) is maintained among ducks, geese, shorebirds, and gulls, not all of the 16 avian hemagglutinin (HA) subtypes are equally represented (1). The 14th HA subtype, commonly known as the H14 subtype, was historically limited to isolates from the former Soviet Union in the 1980s (2) and was not subsequently detected until 2010, when isolated in Wisconsin, USA from long-tailed ducks and a white-winged scoter (3–5). In the United States, the H14 subtype has since been isolated in California (6), Mississippi, and Texas (7); and has been reported in waterfowl in Guatemala (7). In this study, we examined whether there was serologic evidence of H14 spread among ducks in North America before (2006–2010) and after (2011–2014) the initial detection of the H14 subtype virus on this continent.
","language":"English","publisher":"Centers for Disease Control and Prevention","doi":"10.3201/eid2112.150413","usgsCitation":"Latorre-Margalef, N., Ramey, A.M., Fojtik, A., and Stallknecht, D.E., 2015, Serologic evidence of influenza A (H14) virus introduction into North America: Emerging Infectious Diseases, v. 21, no. 12, p. 2257-2259, https://doi.org/10.3201/eid2112.150413.","productDescription":"3 p.","startPage":"2257","endPage":"2259","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064120","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471789,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2112.150413","text":"Publisher Index Page"},{"id":321268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d664ce4b07e28b6684e38","contributors":{"authors":[{"text":"Latorre-Margalef, Neus","contributorId":169328,"corporation":false,"usgs":false,"family":"Latorre-Margalef","given":"Neus","email":"","affiliations":[],"preferred":false,"id":629369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":629361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fojtik, Alinde","contributorId":169329,"corporation":false,"usgs":false,"family":"Fojtik","given":"Alinde","email":"","affiliations":[],"preferred":false,"id":629370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":629371,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}