{"pageNumber":"97","pageRowStart":"2400","pageSize":"25","recordCount":16446,"records":[{"id":70195842,"text":"70195842 - 2017 - Differences in flood hazard projections in Europe – their causes and consequences for decision making","interactions":[],"lastModifiedDate":"2018-03-06T11:01:34","indexId":"70195842","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Differences in flood hazard projections in Europe – their causes and consequences for decision making","docAbstract":"<p><span>This paper interprets differences in flood hazard projections over Europe and identifies likely sources of discrepancy. Further, it discusses potential implications of these differences for flood risk reduction and adaptation to climate change. The discrepancy in flood hazard projections raises caution, especially among decision makers in charge of water resources management, flood risk reduction, and climate change adaptation at regional to local scales. Because it is naïve to expect availability of trustworthy quantitative projections of future flood hazard, in order to reduce flood risk one should focus attention on mapping of current and future risks and vulnerability hotspots and improve the situation there. Although an intercomparison of flood hazard projections is done in this paper and differences are identified and interpreted, it does not seems possible to recommend which large-scale studies may be considered most credible in particular areas of Europe.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2016.1241398","usgsCitation":"Kundzewicz, Z., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S., Hattermann, F.F., Huang, S., Milly, P., Stoffel, M., Driessen, P., Matczak, P., Quevauviller, P., and Schellnhuber, H., 2017, Differences in flood hazard projections in Europe – their causes and consequences for decision making: Hydrological Sciences Journal, v. 62, no. 1, p. 1-14, https://doi.org/10.1080/02626667.2016.1241398.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-079346","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2016.1241398","text":"Publisher Index Page"},{"id":352251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d4","contributors":{"authors":[{"text":"Kundzewicz, Z. W.","contributorId":202952,"corporation":false,"usgs":false,"family":"Kundzewicz","given":"Z. W.","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krysanova, V.","contributorId":202953,"corporation":false,"usgs":false,"family":"Krysanova","given":"V.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dankers, R.","contributorId":202954,"corporation":false,"usgs":false,"family":"Dankers","given":"R.","email":"","affiliations":[{"id":36557,"text":"Met Office, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":730263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirabayashi, Y.","contributorId":202955,"corporation":false,"usgs":false,"family":"Hirabayashi","given":"Y.","email":"","affiliations":[{"id":36558,"text":"Institute of Engineering Innovation, University of Tokyo, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanae, S.","contributorId":202956,"corporation":false,"usgs":false,"family":"Kanae","given":"S.","email":"","affiliations":[{"id":36559,"text":"Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hattermann, F. F.","contributorId":202957,"corporation":false,"usgs":false,"family":"Hattermann","given":"F.","email":"","middleInitial":"F.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, S.","contributorId":202958,"corporation":false,"usgs":false,"family":"Huang","given":"S.","email":"","affiliations":[{"id":36560,"text":"The Norwegian Water Resources and Energy Directorate, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":730267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":730260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stoffel, M.","contributorId":202959,"corporation":false,"usgs":false,"family":"Stoffel","given":"M.","email":"","affiliations":[{"id":36561,"text":"Climatic Change and Climate Impacts, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":730268,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Driessen, P.P.J.","contributorId":202960,"corporation":false,"usgs":false,"family":"Driessen","given":"P.P.J.","email":"","affiliations":[{"id":36562,"text":"Utrecht University, Copernicus Institute of Sustainable Development, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":730269,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Matczak, P.","contributorId":202961,"corporation":false,"usgs":false,"family":"Matczak","given":"P.","email":"","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730270,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Quevauviller, P.","contributorId":202962,"corporation":false,"usgs":false,"family":"Quevauviller","given":"P.","affiliations":[{"id":36563,"text":"Vrije Universiteit Brussel, Belgium","active":true,"usgs":false}],"preferred":false,"id":730271,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schellnhuber, H.-J.","contributorId":202963,"corporation":false,"usgs":false,"family":"Schellnhuber","given":"H.-J.","email":"","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730272,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70186331,"text":"70186331 - 2017 - Improved vertical streambed flux estimation using multiple diurnal temperature methods in series","interactions":[],"lastModifiedDate":"2018-08-07T12:09:56","indexId":"70186331","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Improved vertical streambed flux estimation using multiple diurnal temperature methods in series","docAbstract":"<p><span>Analytical solutions that use diurnal temperature signals to estimate vertical fluxes between groundwater and surface water based on either amplitude ratios (</span><i>A<sub>r</sub></i><span>) or phase shifts (Δ</span><i>ϕ</i><span>) produce results that rarely agree. Analytical solutions that simultaneously utilize </span><i>A<sub>r</sub></i><span> and Δ</span><i>ϕ</i><span> within a single solution have more recently been derived, decreasing uncertainty in flux estimates in some applications. Benefits of combined (</span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span>) methods also include that thermal diffusivity and sensor spacing can be calculated. However, poor identification of either </span><i>A<sub>r</sub></i><span> or Δ</span><i>ϕ</i><span> from raw temperature signals can lead to erratic parameter estimates from </span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span> methods. An add-on program for VFLUX 2 is presented to address this issue. Using thermal diffusivity selected from an </span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span> method during a reliable time period, fluxes are recalculated using an </span><i>A<sub>r</sub></i><span> method. This approach maximizes the benefits of the </span><i>A<sub>r</sub></i><span> and </span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span> methods. Additionally, sensor spacing calculations can be used to identify periods with unreliable flux estimates, or to assess streambed scour. Using synthetic and field examples, the use of these solutions in series was particularly useful for gaining conditions where fluxes exceeded 1 m/d.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12436","usgsCitation":"Irvine, D.J., Briggs, M.A., Cartwright, I., Scruggs, C.R., and Lautz, L.K., 2017, Improved vertical streambed flux estimation using multiple diurnal temperature methods in series: Groundwater, v. 55, no. 1, p. 73-80, https://doi.org/10.1111/gwat.12436.","productDescription":"8 p.","startPage":"73","endPage":"80","ipdsId":"IP-074583","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":339119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da67999777f","contributors":{"authors":[{"text":"Irvine, Dylan J.","contributorId":190404,"corporation":false,"usgs":false,"family":"Irvine","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cartwright, Ian","contributorId":190405,"corporation":false,"usgs":false,"family":"Cartwright","given":"Ian","affiliations":[],"preferred":false,"id":688353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scruggs, Courtney R. 0000-0002-1744-3233 cscruggs@usgs.gov","orcid":"https://orcid.org/0000-0002-1744-3233","contributorId":190406,"corporation":false,"usgs":true,"family":"Scruggs","given":"Courtney","email":"cscruggs@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lautz, Laura K.","contributorId":124523,"corporation":false,"usgs":false,"family":"Lautz","given":"Laura","email":"","middleInitial":"K.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":688355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192025,"text":"70192025 - 2017 - Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","interactions":[],"lastModifiedDate":"2018-02-27T13:35:22","indexId":"70192025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","docAbstract":"<p><span>The Little Blue River in Jackson County, Missouri, was listed as impaired in 2012 due to&nbsp;</span><i>Escherichia coli</i><span><span>&nbsp;</span>(</span><i>E. coli</i><span>) from urban runoff and storm sewers. A study was initiated to characterize<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>concentrations and loads to aid in the development of a total maximum daily load implementation plan. Longitudinal sampling along the stream revealed spatial and temporal variability in<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>loads. Regression models were developed to better represent<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>variability in the impaired reach using continuous hydrologic and water-quality parameters as predictive parameters. Daily loads calculated from main-stem samples were significantly higher downstream compared to upstream even though there was no significant difference between the upstream and downstream measured concentrations and no significant conclusions could be drawn from model-estimated loads due to model-associated uncertainty. Increasing sample frequency could decrease the bias and increase the accuracy of the modeled results.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Water Environment Federation, WEFTEC 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Water Environment Federation","doi":"10.2175/193864717822156730","usgsCitation":"Flickinger, A., and Christensen, E.D., 2017, Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo., <i>in</i> Proceedings of the Water Environment Federation, WEFTEC 2017, p. 4753-4782, https://doi.org/10.2175/193864717822156730.","productDescription":"30 p.","startPage":"4753","endPage":"4782","ipdsId":"IP-087590","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":438459,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W6B4Z","text":"USGS data release","linkHelpText":"Escherichia coli data and continuous hydrologic and physical parameters at U.S. Geological Survey (USGS) streamgage sites on the Little Blue River and its tributaries in Independence, MO"},{"id":352084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Independence","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f8","contributors":{"authors":[{"text":"Flickinger, Allison aflickinger@usgs.gov","contributorId":197591,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","affiliations":[],"preferred":true,"id":713863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192184,"text":"70192184 - 2017 - Preliminary viability assessment of Lake Mendocino forecast informed reservoir operations","interactions":[],"lastModifiedDate":"2018-02-15T10:48:59","indexId":"70192184","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Preliminary viability assessment of Lake Mendocino forecast informed reservoir operations","docAbstract":"<p>This report describes the preliminary viability assessment (PVA) of forecast informed reservoir operations (FIRO) for Lake Mendocino, which is located on the East Fork Russian River three miles east of Ukiah, California. The results described in this report represent the collective activities of the Lake Mendocino FIRO Steering Committee (SC) (SC members are named on the inside cover of the report). The SC consists of water managers and scientists from several federal, state, and local agencies, and universities who have teamed to evaluate whether current technology and scientific understanding can be utilized to improve reliability of meeting water management objectives of Lake Mendocino while not impairing flood protection. While the PVA provides an initial evaluation of the viability of FIRO as a concept, additional steps remain to complete the full viability assessment (FVA). Also, the PVA does not identify how FIRO strategies would be implemented. That effort would be the focus of the FVA, which builds off the analyses developed in the PVA. </p><p>This report summarizes current Lake Mendocino operation and a preliminary analysis of FIRO alternatives, including analysis methods, results, and recommendations. A set of accompanying reports describes the analysis in detail. These are referred to herein as the Sonoma County Water Agency (SCWA) report, the Hydrologic Engineering Center (HEC) report, and the Center for Western Weather and Water Extremes (CW3E) report (SCWA 2017, USACE 2017, and CW3E 2017, respectively).</p>","language":"English","publisher":"Center For Western Weather and Water Extremes","usgsCitation":"Jasperse, J., Ralph, M., Anderson, M., Brekke, L.D., Dillabough, M., Dettinger, M.D., Haynes, A., Hartman, R., Jones, C., Forbis, J., Rutten, P., Talbot, C., and Webb, R., 2017, Preliminary viability assessment of Lake Mendocino forecast informed reservoir operations, 75 p.","productDescription":"75 p.","ipdsId":"IP-088766","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":351645,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://cw3e.ucsd.edu/FIRO_docs/FIRO_PVA.pdf"},{"id":351646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Mendocino","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f4","contributors":{"authors":[{"text":"Jasperse, Jay","contributorId":168661,"corporation":false,"usgs":false,"family":"Jasperse","given":"Jay","affiliations":[{"id":17863,"text":"Sonoma County Water Agency","active":true,"usgs":false}],"preferred":false,"id":714622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralph, Marty","contributorId":202509,"corporation":false,"usgs":false,"family":"Ralph","given":"Marty","email":"","affiliations":[],"preferred":false,"id":714623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Michael","contributorId":148971,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","affiliations":[],"preferred":false,"id":714624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brekke, Levi D.","contributorId":178126,"corporation":false,"usgs":false,"family":"Brekke","given":"Levi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dillabough, Mike","contributorId":197942,"corporation":false,"usgs":false,"family":"Dillabough","given":"Mike","email":"","affiliations":[],"preferred":false,"id":714626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haynes, Alan","contributorId":197943,"corporation":false,"usgs":false,"family":"Haynes","given":"Alan","email":"","affiliations":[],"preferred":false,"id":728616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartman, Robert","contributorId":197944,"corporation":false,"usgs":false,"family":"Hartman","given":"Robert","email":"","affiliations":[],"preferred":false,"id":728617,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Christy","contributorId":197945,"corporation":false,"usgs":false,"family":"Jones","given":"Christy","email":"","affiliations":[],"preferred":false,"id":728618,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Forbis, Joe","contributorId":197946,"corporation":false,"usgs":false,"family":"Forbis","given":"Joe","email":"","affiliations":[],"preferred":false,"id":714630,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rutten, Patrick","contributorId":197947,"corporation":false,"usgs":false,"family":"Rutten","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":714631,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Talbot, Cary","contributorId":197948,"corporation":false,"usgs":false,"family":"Talbot","given":"Cary","email":"","affiliations":[],"preferred":false,"id":714632,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":714633,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70179334,"text":"70179334 - 2017 - Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem","interactions":[],"lastModifiedDate":"2017-06-27T13:30:44","indexId":"70179334","displayToPublicDate":"2016-12-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem","docAbstract":"<p><span>Frequent drying of ponded water, and support of unique, highly specialized assemblages of often rare species, characterize temporary wetlands, such as vernal pools, gilgais, and prairie potholes. As small aquatic features embedded in a terrestrial landscape, temporary wetlands enhance biodiversity and provide aesthetic, biogeochemical, and hydrologic functions. Challenges to conserving temporary wetlands include the need to: (1) integrate freshwater and terrestrial biodiversity priorities; (2) conserve entire ‘pondscapes’ defined by connections to other aquatic and terrestrial systems; (3) maintain natural heterogeneity in environmental gradients across and within wetlands, especially gradients in hydroperiod; (4) address economic impact on landowners and developers; (5) act without complete inventories of these wetlands; and (6) work within limited or non-existent regulatory protections. Because temporary wetlands function as integral landscape components, not singly as isolated entities, their cumulative loss is ecologically detrimental yet not currently part of the conservation calculus. We highlight approaches that use strategies for conserving temporary wetlands in increasingly human-dominated landscapes that integrate top-down management and bottom-up collaborative approaches. Diverse conservation activities (including education, inventory, protection, sustainable management, and restoration) that reduce landowner and manager costs while achieving desired ecological objectives will have the greatest probability of success in meeting conservation goals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.11.024","usgsCitation":"Calhoun, A.J., Mushet, D.M., Bell, K.P., Boix, D., Fitzsimons, J.A., and Isselin-Nondedeu, F., 2017, Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem: Biological Conservation, v. 211, no. B, p. 3-11, https://doi.org/10.1016/j.biocon.2016.11.024.","productDescription":"9 p.","startPage":"3","endPage":"11","ipdsId":"IP-076656","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://figshare.com/articles/journal_contribution/Temporary_wetlands_challenges_and_solutions_to_conserving_a_disappearing_ecosystem/20862952","text":"Publisher Index Page"},{"id":332619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","issue":"B","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58662f12e4b0cd2dabe7c4af","contributors":{"authors":[{"text":"Calhoun, Aram J.K.","contributorId":177732,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":13065,"text":"Department of Wildlife, Fisheries, and Conservation Biology, University of Maine","active":true,"usgs":false}],"preferred":false,"id":656830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":656829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Kathleen P.","contributorId":171584,"corporation":false,"usgs":false,"family":"Bell","given":"Kathleen","email":"","middleInitial":"P.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":656831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boix, Dani","contributorId":177733,"corporation":false,"usgs":false,"family":"Boix","given":"Dani","affiliations":[],"preferred":false,"id":656832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimons, James A.","contributorId":177734,"corporation":false,"usgs":false,"family":"Fitzsimons","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":656833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isselin-Nondedeu, Francis","contributorId":177735,"corporation":false,"usgs":false,"family":"Isselin-Nondedeu","given":"Francis","email":"","affiliations":[],"preferred":false,"id":656834,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206539,"text":"70206539 - 2017 - Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile","interactions":[],"lastModifiedDate":"2019-11-08T10:04:25","indexId":"70206539","displayToPublicDate":"2016-12-21T09:56:21","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile","docAbstract":"<p><span>Glacial lake outburst floods (GLOFs) are a prominent but poorly understood cryospheric hazard in a warming climate. We quantify the hydrologic and geomorphic response to 21 episodic GLOFs that began in April 2008 using multitemporal satellite imagery and field observations. Peak discharge exiting the source lake became progressively muted downstream. At ~40–60 km downstream, where the floods entered and traveled down the main stem Rio Baker, peak discharges were generally &lt; 2000 m</span><sup>3</sup><span> s</span><sup>−1</sup><span>, although these flows were still &gt;1–2 times the peak annual discharge of this system, Chile's largest river by volume. As such, caution must be applied to empirical relationships relating lake volume to peak discharge, as the latter is dependent on where this observation is made along the flood path. The GLOFs and subsequent periods of free drainage resulted in &gt; 40 m of incision, the net removal of ~25 × 10</span><sup>6</sup><span> m</span><sup>3</sup><span>&nbsp;of sediment from the source lake basin, and a nonsteady channel configuration downstream. These results demonstrate that GLOFs sourced from low‐order tributaries can produce significant floods on major main stem rivers, in addition to significantly altering sediment dynamics.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL071374","usgsCitation":"Jacquet, J., McCoy, S., Mcgrath, D., Nimick, D., Fahey, M., O’kuinghttons, J., Friesen, B., and Leidich, J., 2017, Hydrologic and geomorphic changes resulting from episodic glacial lake outburst floods: Rio Colonia, Patagonia, Chile: Geophysical Research Letters, v. 44, no. 2, p. 854-864, https://doi.org/10.1002/2016GL071374.","productDescription":"11 p.","startPage":"854","endPage":"864","ipdsId":"IP-079971","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071374","text":"Publisher Index Page"},{"id":369086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Cachet‐Colonia‐Baker Valley, Patagonia, Rio Colonia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.443603515625,\n              -47.392771444278026\n            ],\n            [\n              -73.004150390625,\n              -47.392771444278026\n            ],\n            [\n              -73.004150390625,\n              -47.04065008156504\n            ],\n            [\n              -73.443603515625,\n              -47.04065008156504\n            ],\n            [\n              -73.443603515625,\n              -47.392771444278026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Jacquet, J.","contributorId":220403,"corporation":false,"usgs":false,"family":"Jacquet","given":"J.","email":"","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":774910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, S.W.","contributorId":192978,"corporation":false,"usgs":false,"family":"McCoy","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":774911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nimick, David 0000-0002-8532-9192 dnimick@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-9192","contributorId":220407,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fahey, Mark 0000-0002-1853-6992 mjfahey@usgs.gov","orcid":"https://orcid.org/0000-0002-1853-6992","contributorId":220404,"corporation":false,"usgs":true,"family":"Fahey","given":"Mark","email":"mjfahey@usgs.gov","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":774912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’kuinghttons, J.","contributorId":220405,"corporation":false,"usgs":false,"family":"O’kuinghttons","given":"J.","email":"","affiliations":[{"id":40165,"text":"Ministry of Public Works, Chile","active":true,"usgs":false}],"preferred":false,"id":774913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friesen, B.A.","contributorId":220406,"corporation":false,"usgs":false,"family":"Friesen","given":"B.A.","email":"","affiliations":[{"id":37275,"text":"none","active":true,"usgs":false}],"preferred":false,"id":774914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leidich, J.","contributorId":220408,"corporation":false,"usgs":false,"family":"Leidich","given":"J.","affiliations":[{"id":12885,"text":"Patagonia Adventure Expeditions","active":true,"usgs":false}],"preferred":false,"id":774916,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179186,"text":"70179186 - 2017 - Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA","interactions":[],"lastModifiedDate":"2018-10-29T09:03:40","indexId":"70179186","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA","docAbstract":"<p><span>The coincidence of a number of geologic and climatic factors combined to create conditions favorable for the development of mineable concentrations of uranium hosted by Eocene through Pliocene sandstones in the Texas Coastal Plain. Here 254 uranium occurrences, including 169 deposits, 73 prospects, 6 showings and 4 anomalies, have been identified. About 80&nbsp;million pounds of U</span><sub>3</sub><span>O</span><sub>8</sub><span> have been produced and about 60&nbsp;million pounds of identified producible U</span><sub>3</sub><span>O</span><sub>8</sub><span> remain in place. The development of economic roll-type uranium deposits requires a source, large-scale transport of uranium in groundwater, and deposition in reducing zones within a sedimentary sequence. The weight of the evidence supports a source from thick sequences of volcanic ash and volcaniclastic sediment derived mostly from the Trans-Pecos volcanic field and Sierra Madre Occidental that lie west of the region. The thickest accumulations of source material were deposited and preserved south and west of the San Marcos arch in the Catahoula Formation. By the early Oligocene, a formerly uniformly subtropical climate along the Gulf Coast transitioned to a zoned climate in which the southwestern portion of Texas Coastal Plain was dry, and the eastern portion humid. The more arid climate in the southwestern area supported weathering of volcanic ash source rocks during pedogenesis and early diagenesis, concentration of uranium in groundwater and movement through host sediments. During the middle Tertiary Era, abundant clastic sediments were deposited in thick sequences by bed-load dominated fluvial systems in long-lived channel complexes that provided transmissive conduits favoring transport of uranium-rich groundwater. Groundwater transported uranium through permeable sandstones that were hydrologically connected with source rocks, commonly across formation boundaries driven by isostatic loading and eustatic sea level changes. Uranium roll fronts formed as a result of the interaction of uranium-rich groundwater with either (1) organic-rich debris adjacent to large long-lived fluvial channels and barrier–bar sequences or (2) extrinsic reductants entrained in formation water or discrete gas that migrated into host units via faults and along the flanks of salt domes and shale diapirs. The southwestern portion of the region, the Rio Grande embayment, contains all the necessary factors required for roll-type uranium deposits. However, the eastern portion of the region, the Houston embayment, is challenged by a humid environment and a lack of source rock and transmissive units, which may combine to preclude the deposition of economic deposits. A grade and tonnage model for the Texas Coastal Plain shows that the Texas deposits represent a lower tonnage subset of roll-type deposits that occur around the world, and required aggregation of production centers into deposits based on geologic interpretation for the purpose of conducting a quantitative mineral resource assessment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.06.013","usgsCitation":"Hall, S.M., Mihalasky, M.J., Tureck, K., Hammarstrom, J.M., and Hannon, M., 2017, Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA: Ore Geology Reviews, v. 80, p. 716-753, https://doi.org/10.1016/j.oregeorev.2016.06.013.","productDescription":"38 p.","startPage":"716","endPage":"753","ipdsId":"IP-068572","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":332408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Texas Coastal Plain","volume":"80","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585ba2e5e4b01224f329b966","contributors":{"authors":[{"text":"Hall, Susan M. 0000-0002-0931-8694 susanhall@usgs.gov","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":2481,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","email":"susanhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":656301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":656303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tureck, Kathleen ktureck@usgs.gov","contributorId":177591,"corporation":false,"usgs":true,"family":"Tureck","given":"Kathleen","email":"ktureck@usgs.gov","affiliations":[],"preferred":true,"id":656304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":656302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, Mark mhannon@usgs.gov","contributorId":177592,"corporation":false,"usgs":true,"family":"Hannon","given":"Mark","email":"mhannon@usgs.gov","affiliations":[],"preferred":true,"id":656305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192247,"text":"70192247 - 2017 - Bed texture mapping in large rivers using recreational-grade sidescan sonar","interactions":[],"lastModifiedDate":"2018-02-26T13:04:06","indexId":"70192247","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Bed texture mapping in large rivers using recreational-grade sidescan sonar","docAbstract":"<p>The size-distribution and spatial organization of bed sediment, or bed ‘texture’, is a fundamental attribute of natural channels and is one important component of the physical habitat of aquatic ecosystems. ‘Recreational-grade’ sidescan sonar systems now offer the possibility of imaging, and subsequently quantifying bed texture at high resolution with minimal cost, or logistical effort. We are investigating the possibility of using sidescan sonar sensors on commercially available ‘fishfinders’ for within-channel bed-sediment characterization of mixed sand-gravel riverbeds in a debris-fan dominated canyon river. We analyzed repeat substrate mapping of data collected before and after the November 2014 High Flow Experiment on the Colorado River in lower Marble Canyon, Arizona. The mapping analysis resulted in sufficient spatial coverage (e.g. reach) and resolutions (e.g. centrimetric) to inform studies of the effects of changing bed substrates on salmonid spawning on large rivers. From this preliminary study, we argue that the approach could become a tractable and cost-effective tool for aquatic scientists to rapidly obtain bed texture maps without specialized knowledge of hydroacoustics. Bed texture maps can be used as a physical input for models relating ecosystem responses to hydrologic management.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"River Flow 2016--Eighth International Conference on Fluvial Hydraulics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"River Flow 2016--Eighth International Conference on Fluvial Hydraulics","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, IL","language":"English","publisher":"CRC Press","doi":"10.1201/9781315644479-51","usgsCitation":"Hamill, D., Wheaton, J.M., Buscombe, D.D., Grams, P.E., and Melis, T., 2017, Bed texture mapping in large rivers using recreational-grade sidescan sonar, <i>in</i> River Flow 2016--Eighth International Conference on Fluvial Hydraulics, Iowa City, IL, July 11-14, 2016, p. 306-312, https://doi.org/10.1201/9781315644479-51.","productDescription":"7 p.","startPage":"306","endPage":"312","ipdsId":"IP-072243","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":352026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-06","publicationStatus":"PW","scienceBaseUri":"5afee8f8e4b0da30c1bfc504","contributors":{"authors":[{"text":"Hamill, Daniel","contributorId":198063,"corporation":false,"usgs":false,"family":"Hamill","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":714987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheaton, Joseph M.","contributorId":29126,"corporation":false,"usgs":true,"family":"Wheaton","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":729611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":714986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":729612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":714990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178374,"text":"70178374 - 2017 - Climate-induced glacier and snow loss imperils alpine stream insects","interactions":[],"lastModifiedDate":"2017-06-07T10:41:21","indexId":"70178374","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced glacier and snow loss imperils alpine stream insects","docAbstract":"<p><span>Climate warming is causing rapid loss of glaciers and snowpack in mountainous regions worldwide. These changes are predicted to negatively impact the habitats of many range-restricted species, particularly endemic, mountaintop species dependent on the unique thermal and hydrologic conditions found only in glacier-fed and snowmelt-driven alpine streams. Though progress has been made, existing understanding of the status, distribution, and ecology of alpine aquatic species, particularly in North America, is lacking, thereby hindering conservation and management programs. Two aquatic insects – the meltwater stonefly </span><i>Lednia tumana</i><span> and the glacier stonefly </span><i>Zapada glacier</i><span> – were recently proposed for listing under the U.S. Endangered Species Act due to climate-change-induced habitat loss. Using a large dataset (272 streams, 482 total sites) with high-resolution climate and habitat information, we describe the distribution, status, and key environmental features that limit </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> across the northern Rocky Mountains. </span><i>Lednia tumana</i><span> was detected in 113 streams (175 sites) within Glacier National Park (GNP) and surrounding areas. The probability of </span><i>L. tumana</i><span> occurrence increased with cold stream temperatures and close proximity to glaciers and permanent snowfields. Similarly, densities of </span><i>L. tumana</i><span> declined with increasing distance from stream source. </span><i>Zapada glacier</i><span> was only detected in 10 streams (20 sites), six in GNP and four in mountain ranges up to ~600 km southwest. Our results show that both </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> inhabit an extremely narrow distribution, restricted to short sections of cold, alpine streams often below glaciers predicted to disappear over the next two decades. Climate warming-induced glacier and snow loss clearly imperils the persistence of </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> throughout their ranges, highlighting the role of mountaintop aquatic invertebrates as sentinels of climate change in mid-latitude regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13565","usgsCitation":"Giersch, J., Hotaling, S., Kovach, R., Jones, L.A., and Muhlfeld, C.C., 2017, Climate-induced glacier and snow loss imperils alpine stream insects: Global Change Biology, v. 23, no. 7, p. 2577-2589, https://doi.org/10.1111/gcb.13565.","productDescription":"13 p.","startPage":"2577","endPage":"2589","ipdsId":"IP-079238","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":331024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"582c2ce2e4b0c253be072bf6","contributors":{"authors":[{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":4022,"corporation":false,"usgs":true,"family":"Giersch","given":"J. Joseph","email":"jgiersch@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":653826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hotaling, Scott 0000-0002-5965-0986","orcid":"https://orcid.org/0000-0002-5965-0986","contributorId":176860,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","email":"","affiliations":[],"preferred":false,"id":653827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":653830,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177944,"text":"70177944 - 2017 - Hydrologic restoration in a dynamic subtropical mangrove-to-marsh ecotone","interactions":[],"lastModifiedDate":"2017-06-28T10:23:25","indexId":"70177944","displayToPublicDate":"2016-10-31T12:30:35","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic restoration in a dynamic subtropical mangrove-to-marsh ecotone","docAbstract":"<p><span>Extensive hydrologic modifications in coastal regions across the world have occurred to support infrastructure development, altering the function of many coastal wetlands. Wetland restoration success is dependent on the existence of hydrologic regimes that support development of appropriate soils and the growth and persistence of wetland vegetation. In Florida, United States, the Comprehensive Everglades Restoration Program (CERP) seeks to restore, protect, and preserve water resources of the greater Everglades region. Herein we describe vegetation dynamics in a mangrove-to-marsh ecotone within the impact area of a CERP hydrologic restoration project currently under development. Vegetation communities are also described for a similar area outside the project area. We found that vegetation shifts within the impact area occurred over a 7-year period; cover of herbaceous species varied by location, and an 88% increase in the total number of mangrove seedlings was documented. We attribute these shifts to the existing modified hydrologic regime, which is characterized by a low volume of freshwater sheet flow compared with historical conditions (i.e. before modification), as well as increased tidal influence. We also identified a significant trend of decreasing soil surface elevation at the impact area. The CERP restoration project is designed to increase freshwater sheet flow to the impact area. Information from our study characterizing existing vegetation dynamics prior to implementation of the restoration project is required to allow documentation of long-term project effects on plant community composition and structure within a framework of background variation, thereby allowing assessment of the project's success in restoring critical ecosystem functions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12452","usgsCitation":"Howard, R.J., Day, R.H., Krauss, K.W., From, A.S., Allain, L.K., and Cormier, N., 2017, Hydrologic restoration in a dynamic subtropical mangrove-to-marsh ecotone: Restoration Ecology, v. 25, no. 3, p. 471-482, https://doi.org/10.1111/rec.12452.","productDescription":"12 p.","startPage":"471","endPage":"482","ipdsId":"IP-077093","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438461,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZLM50V","text":"USGS data release","linkHelpText":"Vegetation survey of southwest Florida for use in assessment of the Picayune Strand Restoration Project effects"},{"id":330576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida ","otherGeospatial":"Big Cypress National Rreserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.57485961914062,\n              26.025319095640015\n            ],\n            [\n              -81.48422241210938,\n              26.00865837808846\n            ],\n            [\n              -81.42105102539061,\n              25.988909281163984\n            ],\n            [\n              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-81.57485961914062,\n              26.025319095640015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-26","publicationStatus":"PW","scienceBaseUri":"5818582ce4b0bb36a4c6fa01","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":652445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182797,"text":"70182797 - 2017 - Channel-planform evolution in four rivers of Olympic National Park, Washington, U.S.A.: The roles of physical drivers and trophic cascades","interactions":[],"lastModifiedDate":"2017-12-04T11:41:40","indexId":"70182797","displayToPublicDate":"2016-10-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Channel-planform evolution in four rivers of Olympic National Park, Washington, U.S.A.: The roles of physical drivers and trophic cascades","docAbstract":"Identifying the relative contributions of physical and ecological processes to channel evolution remains a substantial challenge in fluvial geomorphology. We use a 74-year aerial photographic record of the Hoh, Queets, Quinault, and Elwha Rivers, Olympic National Park, Washington, U.S.A., to investigate whether physical or trophic-cascade-driven ecological factors—excessive elk impacts after wolves were extirpated a century ago—are the dominant controls on channel planform of these gravel-bed rivers. We find that channel width and braiding show strong relationships with recent flood history. All four rivers have widened significantly in recent decades, consistent with increased flood activity since the 1970s. Channel planform also reflects sediment-supply changes, evident from landslide response on the Elwha River. We surmise that the Hoh River, which shows a multi-decadal trend toward greater braiding, is adjusting to increased sediment supply associated with rapid glacial retreat. In this sediment-routing system with high connectivity, such climate-driven signals appear to propagate downstream without being buffered substantially by sediment storage. Legacy effects of anthropogenic modification likely also affect the Quinault River planform. \nWe infer no correspondence between channel geomorphic evolution and elk abundance, suggesting that trophic-cascade effects in this setting are subsidiary to physical controls on channel morphology. Our findings differ from previous interpretations of Olympic National Park fluvial dynamics and contrast with the classic example of Yellowstone National Park, where legacy effects of elk overuse are apparent in channel morphology; we attribute these differences to hydrologic regime and large-wood availability.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4048","usgsCitation":"East, A., Jenkins, K.J., Happe, P.J., Bountry, J.A., Beechie, T.J., Mastin, M.C., Sankey, J.B., and Randle, T.J., 2017, Channel-planform evolution in four rivers of Olympic National Park, Washington, U.S.A.: The roles of physical drivers and trophic cascades: Earth Surface Processes and Landforms, v. 42, no. 7, p. 1011-1032, https://doi.org/10.1002/esp.4048.","productDescription":"22 p.","startPage":"1011","endPage":"1032","ipdsId":"IP-073218","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470218,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/62439","text":"External Repository"},{"id":336777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic National Park ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.354248046875,\n              48.28684818710906\n            ],\n            [\n              -124.43664550781249,\n              48.30877444352327\n            ],\n            [\n              -124.71679687499999,\n              48.246625590713826\n            ],\n            [\n              -124.7222900390625,\n              48.19538740833338\n            ],\n            [\n              -124.67285156250001,\n              47.96050238891509\n            ],\n            [\n              -123.99169921875,\n              47.59505101193038\n            ],\n            [\n              -123.2611083984375,\n              47.402067376409036\n            ],\n            [\n              -122.8546142578125,\n              47.64318610543658\n            ],\n            [\n              -122.8985595703125,\n              48.09275716032736\n            ],\n            [\n              -124.354248046875,\n              48.28684818710906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"58b7eba6e4b01ccd5500bafd","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":168538,"corporation":false,"usgs":true,"family":"East","given":"Amy E.","email":"aeast@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":673780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":673781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Happe, Patricia J.","contributorId":177053,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":673782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":673783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":673784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673786,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":673787,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Randle, Timothy J.","contributorId":90994,"corporation":false,"usgs":false,"family":"Randle","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":673785,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70176524,"text":"70176524 - 2017 - Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA","interactions":[],"lastModifiedDate":"2017-07-25T12:50:36","indexId":"70176524","displayToPublicDate":"2016-09-20T16:20:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA","docAbstract":"<h4 id=\"absSec_1\">Study region</h4><p id=\"spar0065\">The study region spans coastal California, USA, and focuses on three primary sites: Arcata, Stinson Beach, and Malibu Lagoon.</p><h4 id=\"absSec_2\">Study focus</h4><p id=\"spar0070\">1&nbsp;m and 2&nbsp;m sea-level rise (SLR) projections were used to assess vulnerability to SLR-driven groundwater emergence and shoaling at select low-lying, coastal sites in California. Separate and combined inundation scenarios for SLR and groundwater emergence were developed using digital elevation models of study site topography and groundwater surfaces constructed from well data or published groundwater level contours.</p><h4 id=\"absSec_3\">New hydrological insights for the region</h4><p id=\"spar0075\">SLR impacts are a serious concern in coastal California which has a long (∼1800&nbsp;km) and populous coastline. Information on the possible importance of SLR-driven groundwater inundation in California is limited. In this study, the potential for SLR-driven groundwater inundation at three sites (Arcata, Stinson Beach, and Malibu Lagoon) was investigated under 1&nbsp;m and 2&nbsp;m SLR scenarios. These sites provide insight into the vulnerability of Northern California coastal plains, coastal developments built on beach sand or sand spits, and developed areas around coastal lagoons associated with seasonal streams and berms. Northern California coastal plains with abundant shallow groundwater likely will see significant and widespread groundwater emergence, while impacts along the much drier central and southern California coast may be less severe due to the absence of shallow groundwater in many areas. Vulnerability analysis is hampered by the lack of data on shallow coastal aquifers, which commonly are not studied because they are not suitable for domestic or agricultural use. Shallow saline aquifers may be present in many areas along coastal California, which would dramatically increase vulnerability to SLR-driven groundwater emergence and shoaling. Improved understanding of the extent and response of California coastal aquifers to SLR will help in preparing for mitigation and adaptation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.12.055","usgsCitation":"Hoover, D.J., Odigie, K., Swarzenski, P.W., and Barnard, P., 2017, Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA: Journal of Hydrology: Regional Studies, v. 11, p. 234-249, https://doi.org/10.1016/j.ejrh.2015.12.055.","productDescription":"16 p.","startPage":"234","endPage":"249","ipdsId":"IP-068144","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470225,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.12.055","text":"Publisher Index Page"},{"id":328775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":649097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176474,"text":"70176474 - 2017 - Geomorphic change and sediment transport during a small artificial flood in a transformed post-dam delta: The Colorado River delta, United States and Mexico","interactions":[],"lastModifiedDate":"2017-08-27T18:38:46","indexId":"70176474","displayToPublicDate":"2016-09-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic change and sediment transport during a small artificial flood in a transformed post-dam delta: The Colorado River delta, United States and Mexico","docAbstract":"<p><span>The Colorado River delta is a dramatically transformed landscape. Major changes to river hydrology and morpho-dynamics began following completion of Hoover Dam in 1936. Today, the Colorado River has an intermittent and/or ephemeral channel in much of its former delta. Initial incision of the river channel in the upstream ∼50&nbsp;km of the delta occurred in the early 1940s in response to spillway releases from Hoover Dam under conditions of drastically reduced sediment supply. A period of relative quiescence followed, until the filling of upstream reservoirs precipitated a resurgence of flows to the delta in the 1980s and 1990s. Flow releases during extreme upper basin snowmelt in the 1980s, flood flows from the Gila River basin in 1993, and a series of ever-decreasing peak flows in the late 1990s and early 2000s further incised the upstream channel and caused considerable channel migration throughout the river corridor. These variable magnitude post-dam floods shaped the modern river geomorphology. In 2014, an experimental pulse-flow release aimed at rejuvenating the riparian ecosystem and understanding hydrologic dynamics flowed more than 100&nbsp;km through the length of the delta’s river corridor. This small artificial flood caused localized meter-scale scour and fill of the streambed, but did not cause further incision or significant bank erosion because of its small magnitude. Suspended-sand-transport rates were initially relatively high immediately downstream from the Morelos Dam release point, but decreasing discharge from infiltration losses combined with channel widening downstream caused a rapid downstream reduction in suspended-sand-transport rates. A zone of enhanced transport occurred downstream from the southern U.S.-Mexico border where gradient increased, but effectively no geomorphic change occurred beyond a point 65&nbsp;km downstream from Morelos Dam. Thus, while the pulse flow connected with the modern estuary, deltaic sedimentary processes were not restored, and relatively few new open surfaces were created for establishment of native riparian vegetation. Because water in the Colorado River basin is completely allocated, exceptional floods from the Gila River basin are the most likely mechanism for major changes to delta geomorphology for the foreseeable future.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecoleng.2016.08.009","usgsCitation":"Mueller, E.R., Schmidt, J.C., Topping, D.J., Shafroth, P.B., Rodriguez-Burgueno, J.E., Ramírez-Hernández, J., and Grams, P.E., 2017, Geomorphic change and sediment transport during a small artificial flood in a transformed post-dam delta: The Colorado River delta, United States and Mexico: Ecological Engineering, v. 106, no. B, p. 757-775, https://doi.org/10.1016/j.ecoleng.2016.08.009.","productDescription":"19 p.","startPage":"757","endPage":"775","ipdsId":"IP-075096","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2016.08.009","text":"Publisher Index Page"},{"id":328691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Colorado River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.52099609375,\n              31.330178972184655\n            ],\n            [\n              -116.52099609375,\n              33.87497640410958\n            ],\n            [\n              -113.9117431640625,\n              33.87497640410958\n            ],\n            [\n              -113.9117431640625,\n              31.330178972184655\n            ],\n            [\n              -116.52099609375,\n              31.330178972184655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c63fe4b0bc0bec09c8a5","contributors":{"authors":[{"text":"Mueller, Erich R. 0000-0001-8202-154X emueller@usgs.gov","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":4930,"corporation":false,"usgs":true,"family":"Mueller","given":"Erich","email":"emueller@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":648886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Burgueno, Jesus Eliana","contributorId":174651,"corporation":false,"usgs":false,"family":"Rodriguez-Burgueno","given":"Jesus","email":"","middleInitial":"Eliana","affiliations":[],"preferred":false,"id":648888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramírez-Hernández, Jorge","contributorId":24264,"corporation":false,"usgs":true,"family":"Ramírez-Hernández","given":"Jorge","affiliations":[],"preferred":false,"id":648889,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648890,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159886,"text":"70159886 - 2017 - Groundwater-derived nutrient and trace element transport to a nearshore Kona coral ecosystem: Experimental mixing model results","interactions":[],"lastModifiedDate":"2017-07-05T09:28:58","indexId":"70159886","displayToPublicDate":"2016-06-30T15:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater-derived nutrient and trace element transport to a nearshore Kona coral ecosystem: Experimental mixing model results","docAbstract":"<p id=\"absSec_1\"><strong>Study region</strong></p><p id=\"spar0065\">The groundwater influenced coastal waters along the arid Kona coast of the Big Island, Hawai’i.</p><p id=\"absSec_2\"><strong>Study focus</strong></p><p id=\"spar0070\">A salinity-and phase partitioning-based mixing experiment was constructed using contrasting groundwater endmembers along the arid Konacoast of the Big Island, Hawai’i and local open seawater to better understand biogeochemical and physicochemical processes that influence the fate of submarine groundwater discharge (SGD)-derived nutrients and trace elements.</p><p id=\"absSec_3\"><strong>New Hydrological Insights for the Region</strong></p><p id=\"spar0075\">Treated wastewater effluent was the main source for nutrient enrichment downstream at the Honokōhau Harbor site. Conservative mixing for some constituents, such as nitrate&nbsp;+&nbsp;nitrite, illustrate the effectiveness of physical mixing to maintain oceanic concentrations in the colloid (0.02–0.45&nbsp;μm) and truly dissolved (</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.12.058","usgsCitation":"Prouty, N.G., Swarzenski, P.W., Fackrell, J., Johannesson, K., and Palmore, C., 2017, Groundwater-derived nutrient and trace element transport to a nearshore Kona coral ecosystem: Experimental mixing model results: Journal of Hydrology: Regional Studies, v. 11, p. 166-177, https://doi.org/10.1016/j.ejrh.2015.12.058.","productDescription":"12 p.","startPage":"166","endPage":"177","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059630","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.12.058","text":"Publisher Index Page"},{"id":324693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Big Island, Honokōhau Harbor, Kaloko Bay, Kaloko-Honokōhau National Historical Park, Kīholo Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.04439735412598,\n              19.659562199692676\n            ],\n            [\n              -156.04439735412598,\n              19.692536413365165\n            ],\n            [\n              -156.00774765014648,\n              19.692536413365165\n            ],\n            [\n              -156.00774765014648,\n              19.659562199692676\n            ],\n            [\n              -156.04439735412598,\n              19.659562199692676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5776349de4b07dd077c829bf","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fackrell, Joseph","contributorId":150170,"corporation":false,"usgs":false,"family":"Fackrell","given":"Joseph","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":580889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johannesson, Karen H.","contributorId":150171,"corporation":false,"usgs":false,"family":"Johannesson","given":"Karen H.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":580891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmore, C. Diane","contributorId":150172,"corporation":false,"usgs":false,"family":"Palmore","given":"C. Diane","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":580892,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162514,"text":"70162514 - 2017 - Interannual to multidecadal climate forcings on groundwater resources of the U.S. West Coast","interactions":[],"lastModifiedDate":"2018-04-03T13:55:39","indexId":"70162514","displayToPublicDate":"2016-01-25T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Interannual to multidecadal climate forcings on groundwater resources of the U.S. West Coast","docAbstract":"<h4 id=\"absSec_1\">Study region</h4><p id=\"spar0050\">The U.S. West Coast, including the Pacific Northwest and California Coastal Basins aquifer systems.</p><h4 id=\"absSec_2\">Study focus</h4><p id=\"spar0055\">Groundwater response to interannual to multidecadal climate variability has important implications for security within the water–energy–food nexus. Here we use Singular Spectrum Analysis to quantify the teleconnections between AMO, PDO, ENSO, and PNA and precipitation and groundwater level fluctuations. The computer program DAMP was used to provide insight on the influence of soil texture, depth to water, and mean and period of a surface infiltration flux on the damping of climate signals in the vadose zone.</p><h4 id=\"absSec_3\">New hydrological insights for the region</h4><p id=\"spar0060\">We find that PDO, ENSO, and PNA have significant influence on precipitation and groundwater fluctuations across a north-south gradient of the West Coast, but the lower frequency climate modes (PDO) have a greater influence on hydrologic patterns than higher frequency climate modes (ENSO and PNA). Low frequency signals tend to be preserved better in groundwater fluctuations than high frequency signals, which is a function of the degree of damping of surface variable fluxes related to soil texture, depth to water, mean and period of the infiltration flux. The teleconnection patterns that exist in surface hydrologic processes are not necessarily the same as those preserved in subsurface processes, which are affected by damping of some climate variability signals within infiltrating water.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.11.018","usgsCitation":"Velasco, E.M., Gurdak, J., Dickinson, J.E., Ferre, T., and Corona, C., 2017, Interannual to multidecadal climate forcings on groundwater resources of the U.S. West Coast: Journal of Hydrology: Regional Studies, v. 11, p. 250-265, https://doi.org/10.1016/j.ejrh.2015.11.018.","productDescription":"16 p.","startPage":"250","endPage":"265","ipdsId":"IP-067083","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":470245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.11.018","text":"Publisher Index Page"},{"id":314871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.892578125,\n              32.63937487360669\n            ],\n            [\n              -124.892578125,\n              49.095452162534826\n            ],\n            [\n              -116.34521484375001,\n              49.095452162534826\n            ],\n            [\n              -116.34521484375001,\n              32.63937487360669\n            ],\n            [\n              -124.892578125,\n              32.63937487360669\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a8a6c6e4b0b28f1184dbff","contributors":{"authors":[{"text":"Velasco, Elzie M.","contributorId":152546,"corporation":false,"usgs":false,"family":"Velasco","given":"Elzie","email":"","middleInitial":"M.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":589716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":589717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferre, T.P.A.","contributorId":196167,"corporation":false,"usgs":false,"family":"Ferre","given":"T.P.A.","email":"","affiliations":[],"preferred":false,"id":589718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corona, Claudia R.","contributorId":152548,"corporation":false,"usgs":false,"family":"Corona","given":"Claudia","middleInitial":"R.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":589719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189953,"text":"70189953 - 2017 - From submarine to lacustrine groundwater discharge","interactions":[],"lastModifiedDate":"2017-08-14T11:33:50","indexId":"70189953","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"From submarine to lacustrine groundwater discharge","docAbstract":"Submarine groundwater discharge (SGD) and its role in marine nutrient cycling are well known since the last decade. The freshwater equivalent, lacustrine groundwater discharge (LGD), is often still disregarded, although first reports of LGD are more than 50 years old. We identify nine different reasons why groundwater has long been disregarded in both freshwater and marine environments such as invisibility of groundwater discharge, the size of the interface and its difficult accessibility. Although there are some\r\nfundamental differences in the hydrology of SGD and LGD, caused primarily by seawater recirculation that occurs only in cases of SGD, there are also a lot of similarities such as a focusing of discharge to near-shore areas. Nutrient concentrations in groundwater near the groundwater–surface water interface might be anthropogenically enriched. Due to spatial heterogeneity of aquifer characteristics and biogeochemical processes, the quantification of groundwater-borne nutrient loads is challenging. Both nitrogen and\r\nphosphorus might be mobile in near-shore aquifers and in a lot of case studies large groundwater-borne nutrient loads have been reported.","largerWorkTitle":"Proceedings of the International Association of Hydrological Sciences","conferenceTitle":"Symposium on Experimental and Efficient Algorithms","conferenceDate":"July 2013","conferenceLocation":"Gothenburg, Sweden","language":"English","publisher":"IAHS Press","doi":"10.5194/piahs-365-72-2015","usgsCitation":"Lewandowski, J., Meinikmann, K., Poschke, F., Nutzmann, G., and Rosenberry, D.O., 2017, From submarine to lacustrine groundwater discharge, <i>in</i> Proceedings of the International Association of Hydrological Sciences, v. 365, Gothenburg, Sweden, July 2013, p. 72-78, https://doi.org/10.5194/piahs-365-72-2015.","productDescription":"7 p.","startPage":"72","endPage":"78","ipdsId":"IP-055744","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-365-72-2015","text":"Publisher Index Page"},{"id":344814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"365","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-02","publicationStatus":"PW","scienceBaseUri":"59b76f73e4b08b1644ddfb01","contributors":{"authors":[{"text":"Lewandowski, Jorg","contributorId":195317,"corporation":false,"usgs":false,"family":"Lewandowski","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":706866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meinikmann, Karin","contributorId":195318,"corporation":false,"usgs":false,"family":"Meinikmann","given":"Karin","email":"","affiliations":[],"preferred":false,"id":706867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poschke, Franziska","contributorId":195360,"corporation":false,"usgs":false,"family":"Poschke","given":"Franziska","email":"","affiliations":[],"preferred":false,"id":706868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nutzmann, Gunnar","contributorId":195319,"corporation":false,"usgs":false,"family":"Nutzmann","given":"Gunnar","email":"","affiliations":[],"preferred":false,"id":706869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","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":706865,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159196,"text":"70159196 - 2017 - Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example","interactions":[],"lastModifiedDate":"2017-01-03T16:21:01","indexId":"70159196","displayToPublicDate":"2015-10-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5011,"text":"Geological Society of London Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example","docAbstract":"<p>We present a hierarchical series of spatially decreasing and temporally increasing models to evaluate the uncertainty in the atmosphere &ndash; ocean global climate model (AOGCM) and the regional climate model (RCM) relative to the uncertainty in the somatic growth of the endangered pallid sturgeon (Scaphirhynchus albus). For effects on fish populations of riverine ecosystems, cli- mate output simulated by coarse-resolution AOGCMs and RCMs must be downscaled to basins to river hydrology to population response. One needs to transfer the information from these climate simulations down to the individual scale in a way that minimizes extrapolation and can account for spatio-temporal variability in the intervening stages. The goal is a framework to determine whether, given uncertainties in the climate models and the biological response, meaningful inference can still be made. The non-linear downscaling of climate information to the river scale requires that one realistically account for spatial and temporal variability across scale. Our down- scaling procedure includes the use of fixed/calibrated hydrological flow and temperature models coupled with a stochastically parameterized sturgeon bioenergetics model. We show that, although there is a large amount of uncertainty associated with both the climate model output and the fish growth process, one can establish significant differences in fish growth distributions between models, and between future and current climates for a given model.</p>","largerWorkTitle":"Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP408.11","usgsCitation":"Wildhaber, M.L., Wikle, C.K., Moran, E.H., Anderson, C.J., Franz, K.J., and Dey, R., 2017, Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example: Geological Society of London Special Publications, v. 408, p. 119-145, https://doi.org/10.1144/SP408.11.","productDescription":"27 p.","startPage":"119","endPage":"145","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042354","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470249,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/ge_at_pubs/290","text":"External Repository"},{"id":311623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Missouri River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.3076171875,\n              38.94232097947902\n            ],\n            [\n              -92.2412109375,\n              39.14710270770074\n            ],\n            [\n 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mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":577821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, Christopher K.","contributorId":116632,"corporation":false,"usgs":false,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":577825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research 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,{"id":70155010,"text":"70155010 - 2017 - Salinity influences on aboveground and belowground net primary productivity in tidal wetlands","interactions":[],"lastModifiedDate":"2017-03-03T11:00:09","indexId":"70155010","displayToPublicDate":"2015-08-05T14:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Salinity influences on aboveground and belowground net primary productivity in tidal wetlands","docAbstract":"<p><span>Tidal freshwater wetlands are one of the most vulnerable ecosystems to climate change and rising sea levels. However salinification within these systems is poorly understood, therefore, productivity (litterfall, woody biomass, and fine roots) were investigated on three forested tidal wetlands [(1)&nbsp;freshwater, (2)&nbsp;moderately saline, and (3)&nbsp;heavily salt-impacted] and a marsh along the Waccamaw and Turkey Creek in South Carolina. Mean aboveground (litterfall and woody biomass) production on the freshwater, moderately saline, heavily salt-impacted, and marsh, respectively, was 1,061, 492, 79, and&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mn\">0</span><span id=\"MathJax-Span-5\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-6\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-7\" class=\"msup\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mi\">g</span><span id=\"MathJax-Span-10\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-11\" class=\"mi\">m</span></span></span><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-14\" class=\"mn\">2</span></span></span></span></span><span id=\"MathJax-Span-15\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-16\" class=\"msup\"><span><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mi\">year</span></span></span><span><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-21\" class=\"mn\">1</span></span></span></span></span></span></span></span></span></span></span><span>&nbsp;versus belowground (fine roots) 860, 490, 620, and&nbsp;</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mrow\"><span id=\"MathJax-Span-25\" class=\"mn\">2,128</span><span id=\"MathJax-Span-26\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-27\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-28\" class=\"msup\"><span><span><span id=\"MathJax-Span-29\" class=\"mrow\"><span id=\"MathJax-Span-30\" class=\"mi\">g</span><span id=\"MathJax-Span-31\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-32\" class=\"mi\">m</span></span></span><span><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-35\" class=\"mn\">2</span></span></span></span></span><span id=\"MathJax-Span-36\" class=\"mtext\">&thinsp;</span><span id=\"MathJax-Span-37\" class=\"msup\"><span><span><span id=\"MathJax-Span-38\" class=\"mrow\"><span id=\"MathJax-Span-39\" class=\"mi\">year</span></span></span><span><span id=\"MathJax-Span-40\" class=\"mrow\"><span id=\"MathJax-Span-41\" class=\"mo\">&minus;</span><span id=\"MathJax-Span-42\" class=\"mn\">1</span></span></span></span></span></span></span></span></span></span></span><span>. Litterfall and woody biomass displayed an inverse relationship with salinity. Shifts in productivity across saline sites is of concern because sea level is predicted to continue rising. Results from the research reported in this paper provide baseline data upon which coupled hydrologic/wetland models can be created to quantify future changes in tidal forest functions.</span><br /><span><br /></span></p>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HE.1943-5584.0001223","usgsCitation":"Pierfelice, K., Graeme Lockaby, B., Krauss, K.W., Conner, W.H., Noe, G.E., and Ricker, M.C., 2017, Salinity influences on aboveground and belowground net primary productivity in tidal wetlands: Journal of Hydrologic Engineering, v. 22, no. 1, D5015002-1: 8 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0001223.","productDescription":"D5015002-1: 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061688","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":306445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Turkey Creek; Waccamaw River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.34669494628905,\n              33.35519396027481\n            ],\n            [\n              -79.35081481933594,\n              33.355337345143944\n            ],\n            [\n              -79.35064315795897,\n              33.35791823239763\n            ],\n            [\n              -79.34806823730469,\n              33.36049904311931\n            ],\n            [\n              -79.34806823730469,\n              33.36422674571036\n            ],\n            [\n              -79.34652328491211,\n              33.366664003369884\n            ],\n            [\n              -79.34188842773438,\n              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Kathryn N.","contributorId":145557,"corporation":false,"usgs":false,"family":"Pierfelice","given":"Kathryn N.","affiliations":[{"id":16146,"text":"Ph.D. Candidate. School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama","active":true,"usgs":false}],"preferred":false,"id":564627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graeme Lockaby, B.","contributorId":145558,"corporation":false,"usgs":false,"family":"Graeme Lockaby","given":"B.","email":"","affiliations":[{"id":16147,"text":"Professor, School of Forestry and Wildlife Sciences, Auburn University, Auburn, Alabama","active":true,"usgs":false}],"preferred":false,"id":564628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":564629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":564630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":564626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ricker, Matthew C.","contributorId":145559,"corporation":false,"usgs":false,"family":"Ricker","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":16148,"text":"Assistant Professor, Bloomsburg University, Bloomsburg, Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":564631,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155216,"text":"70155216 - 2017 - Hydrologic modeling in a marsh-mangrove ecotone: Predicting wetland surface water and salinity response to restoration in the Ten Thousand Islands region of Florida, USA","interactions":[],"lastModifiedDate":"2019-09-16T09:43:43","indexId":"70155216","displayToPublicDate":"2015-08-01T12:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic modeling in a marsh-mangrove ecotone: Predicting wetland surface water and salinity response to restoration in the Ten Thousand Islands region of Florida, USA","docAbstract":"<p><span>At the fringe of Everglades National Park in southwest Florida, United States, the Ten Thousand Islands National Wildlife Refuge (TTINWR) habitat has been heavily affected by the disruption of natural freshwater flow across the Tamiami Trail (U.S. Highway 41). As the Comprehensive Everglades Restoration Plan (CERP) proposes to restore the natural sheet flow from the Picayune Strand Restoration Project area north of the highway, the impact of planned measures on the hydrology in the refuge needs to be taken into account. The objective of this study was to develop a simple, computationally efficient mass balance model to simulate the spatial and temporal patterns of water level and salinity within the area of interest. This model could be used to assess the effects of the proposed management decisions on the surface water hydrological characteristics of the refuge. Surface water variations are critical to the maintenance of wetland processes. The model domain is divided into 10 compartments on the basis of their shared topography, vegetation, and hydrologic characteristics. A diversion of&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">+</span><span id=\"MathJax-Span-5\" class=\"mn\">10</span><span id=\"MathJax-Span-6\" class=\"mo\">%</span></span></span></span></span></span></span><span>&nbsp;of the discharge recorded during the modeling period was simulated in the primary canal draining the Picayune Strand forest north of the Tamiami Trail (Faka Union Canal) and this discharge was distributed as overland flow through the refuge area. Water depths were affected only modestly. However, in the northern part of the refuge, the hydroperiod, i.e.,&nbsp;the duration of seasonal flooding, was increased by 21&nbsp;days (from 115 to 136&nbsp;days) for the simulation during the 2008 wet season, with an average water level rise of 0.06&nbsp;m. The average salinity over a two-year period in the model area just south of Tamiami Trail was reduced by approximately 8 practical salinity units (psu) (from 18 to 10 psu), whereas the peak dry season average was reduced from 35 to 29 psu (by 17%). These salinity reductions were even larger with greater flow diversions (</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mo\">+</span><span id=\"MathJax-Span-11\" class=\"mn\">20</span><span id=\"MathJax-Span-12\" class=\"mo\">%</span></span></span></span></span></span></span><span>). Naturally, the reduction in salinity diminished toward the open water areas where the daily flood tides mix in saline bay water. Partially restoring hydrologic flows to TTINWR will affect hydroperiod and salinity regimes within downslope wetlands, and perhaps serve as a management tool to reduce the speed of future encroachment of mangroves into marsh as sea levels rise.</span></p>","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"New York, NY","doi":"10.1061/(ASCE)HE.1943-5584.0001260","usgsCitation":"Michot, B., Meselhe, E., Krauss, K.W., Shrestha, S., From, A.S., and Patino, E., 2017, Hydrologic modeling in a marsh-mangrove ecotone: Predicting wetland surface water and salinity response to restoration in the Ten Thousand Islands region of Florida, USA: Journal of Hydrologic Engineering, v. 22, no. 1, D4015002-1: 18 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0001260.","productDescription":"D4015002-1: 18 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059510","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":306317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c090b0e4b033ef521042a1","contributors":{"authors":[{"text":"Michot, B.D.","contributorId":145740,"corporation":false,"usgs":false,"family":"Michot","given":"B.D.","email":"","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":565124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meselhe, E.A.","contributorId":145741,"corporation":false,"usgs":false,"family":"Meselhe","given":"E.A.","email":"","affiliations":[{"id":16216,"text":"Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":565125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":565123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, Surendra","contributorId":145742,"corporation":false,"usgs":false,"family":"Shrestha","given":"Surendra","email":"","affiliations":[],"preferred":false,"id":565126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":565127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patino, Eduardo 0000-0003-1016-3658 epatino@usgs.gov","orcid":"https://orcid.org/0000-0003-1016-3658","contributorId":1743,"corporation":false,"usgs":true,"family":"Patino","given":"Eduardo","email":"epatino@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":565128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189927,"text":"70189927 - 2017 - Effect of sediment supply and flow rate on the initiation and topographic evolution of sandbars in laboratory and numerical channels","interactions":[],"lastModifiedDate":"2019-10-17T12:16:27","indexId":"70189927","displayToPublicDate":"2015-05-01T12:05:13","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effect of sediment supply and flow rate on the initiation and topographic evolution of sandbars in laboratory and numerical channels","docAbstract":"The evolution of barforms from a bed of uniform sediment and changes in sediment storage were measured in a laboratory flume and simulated numerically. Flume experiments were conducted with several upstream sediment supplies and flow conditions. For the sediment supply rates (no upstream supply, equilibrium supply, and 133, 166, and 200 percent of the equilibrium supply) and flow rates examined, the plane bed tended to evolve into mid-channel bars early in the runs ~15 minutes. As the flume experiments progressed, the bed transitioned to a lower mode configuration of alternate bars or a single-thread meandering thalweg. Increasing the upstream sediment supply to 133 percent or more of the equilibrium rate, increased the height and volume of deposited sediment relative to experiments conducted at the equilibrium rate and those experiments without sediment supply. Experiments conducted at flow rates of 0.5 and 1.0 L/s without sediment supply demonstrated that an increase in flow corresponded to a greater volume of erosion. A coupled two-dimensional flow and sediment transport model, Nays2DH, was used to simulate the evolution of bed topography for three sediment supply rates. We compared the morphodynamics and sediment storage predicted by Nays2DH for two initial bed conditions: one set of calculations used a plane bed with a small upstream perturbation as the initial bed condition, and the other set used the bed topography measured 15 minutes after the start of the flume run. Whereas initializing the model with measured flume topography provided a somewhat better analog to the final evolved morphology, predictions of sedimentation were not substantially improved over simulations using the plane bed as the initial condition.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference),","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","conferenceDate":"April 19 – 23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Advisory Committee on Water Information","usgsCitation":"Kinzel, P.J., Logan, B., and Nelson, J.M., 2017, Effect of sediment supply and flow rate on the initiation and topographic evolution of sandbars in laboratory and numerical channels, <i>in</i> Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference),, Reno, NV, April 19 – 23, 2015, p. 1132-1143.","productDescription":"12 p.","startPage":"1132","endPage":"1143","ipdsId":"IP-061617","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":368390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368389,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/index.html"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Brandy blogan@usgs.gov","contributorId":195338,"corporation":false,"usgs":false,"family":"Logan","given":"Brandy","email":"blogan@usgs.gov","affiliations":[],"preferred":false,"id":706788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70158595,"text":"70158595 - 2017 - Human land-use and soil change","interactions":[],"lastModifiedDate":"2017-03-03T08:57:27","indexId":"70158595","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5308,"text":"World Soils Book Series","active":true,"publicationSubtype":{"id":24}},"title":"Human land-use and soil change","docAbstract":"Soil change refers to the alteration of soil and soil properties over time in one location, as opposed to soil variability across space.  Although soils change with pedogensis, this chapter focuses on human caused soil change. Soil change can occur with human use and management over long or short time periods and small or large scales.  While change can be negative or positive; often soil change is observed when short-term or narrow goals overshadow the other soil’s ecosystem services. Many soils have been changed in their chemical, physical or biological properties through agricultural activities, including cultivation, tillage, weeding, terracing, subsoiling, deep plowing, manure and fertilizer addition, liming, draining, and irrigation. Assessing soil change depends upon the ecosystem services and soil functions being evaluated.  The interaction of soil properties with the type and intensity of management and disturbance determines the changes that will be observed. Tillage of cropland disrupts aggregates and decreases soil organic carbon content which can lead to decreased infiltration, increased erosion, and reduced biological function. Improved agricultural management systems can increase soil functions including crop productivity and sustainability. Forest management is most intensive during harvesting and seedling establishment. Most active management in forests causes disturbance of the soil surface which may include loss of forest floor organic materials, increases in bulk density, and increased risk of erosion. In grazing lands, pasture management often includes periods of biological, chemical and physical disturbance in addition to the grazing management imposed on rangelands. Grazing animals have both direct and indirect impacts on soil change.  Hoof action can lead to the disturbance of biological crusts and other surface features impairing the soil’s physical, biological and hydrological function.  There are clear feedbacks between vegetative systems and soil properties; when vegetation is altered because of grazing or other disturbances, soil property changes often follow.  Some soils are very sensitive to management and disturbance and can undergo rapid change: cropping led to massive gully formation in the southeastern USA, exposure of acid-sulfate soils led to irreversible changes in soil minerology and thawing of cold soils has created thermokarst features.  These soil changes alter soil properties and functions and may impact soil ecosystem services far into the future.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The soils of the USA","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-41870-4_18","isbn":"978-3-319-41870-4","usgsCitation":"Wills, S., Williams, C.O., Duniway, M.C., Veenstra, J., Seybold, C., and Pressley, D., 2017, Human land-use and soil change, chap. <i>of</i> The soils of the USA: World Soils Book Series, p. 351-371, https://doi.org/10.1007/978-3-319-41870-4_18.","productDescription":"21 p.","startPage":"351","endPage":"371","ipdsId":"IP-063491","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":336806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-20","publicationStatus":"PW","scienceBaseUri":"58b93d29e4b090ec658d771f","contributors":{"authors":[{"text":"Wills, Skye A.","contributorId":92600,"corporation":false,"usgs":true,"family":"Wills","given":"Skye A.","affiliations":[],"preferred":false,"id":576235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Candiss O.","contributorId":148946,"corporation":false,"usgs":false,"family":"Williams","given":"Candiss","email":"","middleInitial":"O.","affiliations":[{"id":17596,"text":"National Soil Survey Center, USDA-NRCS, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":576236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":576234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veenstra, Jessica","contributorId":148947,"corporation":false,"usgs":false,"family":"Veenstra","given":"Jessica","email":"","affiliations":[{"id":17597,"text":"Flagler College, St. Augustine, FL","active":true,"usgs":false}],"preferred":false,"id":576237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seybold, Cathy","contributorId":148948,"corporation":false,"usgs":false,"family":"Seybold","given":"Cathy","email":"","affiliations":[{"id":17596,"text":"National Soil Survey Center, USDA-NRCS, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":576238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pressley, DeAnn","contributorId":148949,"corporation":false,"usgs":false,"family":"Pressley","given":"DeAnn","email":"","affiliations":[{"id":17598,"text":"Kansas State University, Manhattan, KS","active":true,"usgs":false}],"preferred":false,"id":576239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190114,"text":"70190114 - 2017 - Chemical tracer methods","interactions":[],"lastModifiedDate":"2021-04-26T17:27:03.084879","indexId":"70190114","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Chemical tracer methods","docAbstract":"<p>Tracers have a wide variety of uses in hydrologic studies: providing quantitative or qualitative estimates of recharge, identifying sources of recharge, providing information on velocities and travel times of water movement, assessing the importance of preferential flow paths, providing information on hydrodynamic dispersion, and providing data for calibration of water flow and solute-transport models (Walker, 1998; Cook and Herczeg, 2000; Scanlon<span>&nbsp;</span><span class=\"italic\">et al</span>., 2002b). Tracers generally are ions, isotopes, or gases that move with water and that can be detected in the atmosphere, in surface waters, and in the subsurface. Heat also is transported by water; therefore, temperatures can be used to trace water movement. This chapter focuses on the use of chemical and isotopic tracers in the subsurface to estimate recharge. Tracer use in surface-water studies to determine groundwater discharge to streams is addressed in Chapter 4; the use of temperature as a tracer is described in Chapter 8.</p><p>Following the nomenclature of Scanlon<span>&nbsp;</span><span class=\"italic\">et al</span>. (2002b), tracers are grouped into three categories: natural environmental tracers, historical tracers, and applied tracers. Natural environmental tracers are those that are transported to or created within the atmosphere under natural processes; these tracers are carried to the Earth’s surface as wet or dry atmospheric deposition. The most commonly used natural environmental tracer is chloride (Cl) (Allison and Hughes, 1978). Ocean water, through the process of evaporation, is the primary source of atmospheric Cl. Other tracers in this category include chlorine-36 (<sup><span class=\"sup\">36</span></sup>Cl) and tritium (<sup><span class=\"sup\">3</span></sup>H); these two isotopes are produced naturally in the Earth’s atmosphere; however, there are additional anthropogenic sources of them.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estimating groundwater recharge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, UK","doi":"10.1017/CBO9780511780745.008","usgsCitation":"Healy, R.W., 2017, Chemical tracer methods, chap. 7 <i>of</i> Estimating groundwater recharge, p. 136-165, https://doi.org/10.1017/CBO9780511780745.008.","productDescription":"30 p.","startPage":"136","endPage":"165","ipdsId":"IP-014174","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344807,"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":"59b76f73e4b08b1644ddfb03","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707545,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190183,"text":"70190183 - 2017 - Hydrogeology, groundwater flow, and groundwater quality of an abandoned underground coal-mine aquifer, Elkhorn Area, West Virginia","interactions":[],"lastModifiedDate":"2017-08-23T10:18:01","indexId":"70190183","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Hydrogeology, groundwater flow, and groundwater quality of an abandoned underground coal-mine aquifer, Elkhorn Area, West Virginia","docAbstract":"The Pocahontas No. 3 coal seam in southern West Virginia has been extensively mined by underground methods since the 1880’s. An extensive network of abandoned mine entries in the Pocahontas No. 3 has since filled with good-quality water, which is pumped from wells or springs discharging from mine portals (adits), and used as a source of water for public supplies. This report presents results of a three-year investigation of the geology, hydrology, geochemistry, and groundwater flow processes within abandoned underground coal mines used as a source of water for public supply in the Elkhorn area, McDowell County, West Virginia.  This study focused on large (> 500 gallon per minute) discharges from the abandoned mines used as public supplies near Elkhorn, West Virginia. Median recharge calculated from base-flow recession of streamflow at Johns Knob Branch and 12 other streamflow gaging stations in McDowell County was 9.1 inches per year. Using drainage area versus mean streamflow relationships from mined and unmined watersheds in McDowell County, the subsurface area along dip of the Pocahontas No. 3 coal-mine aquifer contributing flow to the Turkey Gap mine discharge was determined to be 7.62 square miles (mi2), almost 10 times larger than the 0.81 mi2 surface watershed. Results of this \r\ninvestigation indicate that groundwater flows down dip beneath surface drainage divides from areas up to six miles east in the adjacent Bluestone River watershed. A conceptual model was developed that consisted of a \r\nstacked sequence of perched aquifers, controlled by stress-relief and subsidence fractures, overlying a highly permeable abandoned underground coal-mine aquifer, capable of substantial interbasin transfer of water. Groundwater-flow directions are controlled by the dip of the Pocahontas No. 3 coal seam, the geometry of abandoned mine workings, and location of unmined barriers within that seam, rather than surface topography.  Seven boreholes were drilled to intersect abandoned mine workings in the Pocahontas No. 3 coal seam and underlying strata in various structural settings of the Turkey Gap and adjacent down-dip mines. Geophysical logging and aquifer testing were conducted on the boreholes to locate the coal- mine aquifers, characterize fracture geometry, and define permeable zones within strata overlying and underlying the Pocahontas No. 3 coal-mine aquifer. Water levels were measured monthly in the wells and showed a relatively static phreatic zone within subsided strata a few feet above the top of or within the Pocahontas No. 3 coal-mine aquifer (PC3MA). A groundwater-flow model was developed to verify and refine the conceptual understanding of groundwater flow and to develop groundwater budgets for the study area. The model consisted of four layers to represent overburden strata, the Pocahontas No. 3 coal-mine aquifer, underlying fractured rock, and fractured rock below regional drainage. Simulation of flow in the flooded abandoned mine entries using highly conductive layers or zones within the model, was unable to realistically simulate interbasin transfer of water. Therefore it was necessary to represent the coal-mine aquifer as an internal boundary condition rather than a contrast in aquifer properties. By \r\nrepresenting the coal-mine aquifer with a series of drain nodes and optimizing input parameters with parameter estimation software, model \r\nerrors were reduced dramatically and discharges for Elkhorn Creek, Johns Knob Branch, and other tributaries were more accurately simulated. Flow in the Elkhorn Creek and Johns Knob Branch watersheds is dependent on interbasin transfer of water, primarily from up dip areas of abandoned mine workings in the Pocahontas No. 3 coal-mine aquifer within the Bluestone River watershed to the east. For the 38th, 70th, and 87th percentile flow duration of streams in the region, mean measured groundwater discharge was estimated to be 1.30, 0.47, and 0.39 cubic feet per square mile (ft3/s/mi2","language":"English","publisher":"West Virginia Geological and Economic Survey","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection, the West Virginia Department of Health and Human Resources, and the West Virginia Geological and Economic Survey","usgsCitation":"Kozar, M.D., McCoy, K.J., Britton, J.Q., and Blake, B., 2017, Hydrogeology, groundwater flow, and groundwater quality of an abandoned underground coal-mine aquifer, Elkhorn Area, West Virginia, x, 103 p.","productDescription":"x, 103 p.","ipdsId":"IP-037003","costCenters":[{"id":642,"text":"West Virginia Water Science 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,{"id":70039731,"text":"sir20125171 - 2017 - Methods for estimating selected low-flow frequency statistics and harmonic mean flows for streams in Iowa","interactions":[],"lastModifiedDate":"2017-11-30T18:31:02","indexId":"sir20125171","displayToPublicDate":"2012-08-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5171","title":"Methods for estimating selected low-flow frequency statistics and harmonic mean flows for streams in Iowa","docAbstract":"A statewide study was conducted to develop regression equations for estimating six selected low-flow frequency statistics and harmonic mean flows for ungaged stream sites in Iowa. The estimation equations developed for the six low-flow frequency statistics include: the annual 1-, 7-, and 30-day mean low flows for a recurrence interval of 10 years, the annual 30-day mean low flow for a recurrence interval of 5 years, and the seasonal (October 1 through December 31) 1- and 7-day mean low flows for a recurrence interval of 10 years. Estimation equations also were developed for the harmonic-mean-flow statistic. Estimates of these seven selected statistics are provided for 208 U.S. Geological Survey continuous-record streamgages using data through September 30, 2006. The study area comprises streamgages located within Iowa and 50 miles beyond the State's borders. Because trend analyses indicated statistically significant positive trends when considering the entire period of record for the majority of the streamgages, the longest, most recent period of record without a significant trend was determined for each streamgage for use in the study. The median number of years of record used to compute each of these seven selected statistics was 35. Geographic information system software was used to measure 54 selected basin characteristics for each streamgage. Following the removal of two streamgages from the initial data set, data collected for 206 streamgages were compiled to investigate three approaches for regionalization of the seven selected statistics. Regionalization, a process using statistical regression analysis, provides a relation for efficiently transferring information from a group of streamgages in a region to ungaged sites in the region. The three regionalization approaches tested included statewide, regional, and region-of-influence regressions. For the regional regression, the study area was divided into three low-flow regions on the basis of hydrologic characteristics, landform regions, and soil regions. A comparison of root mean square errors and average standard errors of prediction for the statewide, regional, and region-of-influence regressions determined that the regional regression provided the best estimates of the seven selected statistics at ungaged sites in Iowa. Because a significant number of streams in Iowa reach zero flow as their minimum flow during low-flow years, four different types of regression analyses were used: left-censored, logistic, generalized-least-squares, and weighted-least-squares regression. A total of 192 streamgages were included in the development of 27 regression equations for the three low-flow regions. For the northeast and northwest regions, a censoring threshold was used to develop 12 left-censored regression equations to estimate the 6 low-flow frequency statistics for each region. For the southern region a total of 12 regression equations were developed; 6 logistic regression equations were developed to estimate the probability of zero flow for the 6 low-flow frequency statistics and 6 generalized least-squares regression equations were developed to estimate the 6 low-flow frequency statistics, if nonzero flow is estimated first by use of the logistic equations. A weighted-least-squares regression equation was developed for each region to estimate the harmonic-mean-flow statistic. Average standard errors of estimate for the left-censored equations for the northeast region range from 64.7 to 88.1 percent and for the northwest region range from 85.8 to 111.8 percent. Misclassification percentages for the logistic equations for the southern region range from 5.6 to 14.0 percent. Average standard errors of prediction for generalized least-squares equations for the southern region range from 71.7 to 98.9 percent and pseudo coefficients of determination for the generalized-least-squares equations range from 87.7 to 91.8 percent. Average standard errors of prediction for weighted-least-squares equations developed for estimating the harmonic-mean-flow statistic for each of the three regions range from 66.4 to 80.4 percent. The regression equations are applicable only to stream sites in Iowa with low flows not significantly affected by regulation, diversion, or urbanization and with basin characteristics within the range of those used to develop the equations. If the equations are used at ungaged sites on regulated streams, or on streams affected by water-supply and agricultural withdrawals, then the estimates will need to be adjusted by the amount of regulation or withdrawal to estimate the actual flow conditions if that is of interest. Caution is advised when applying the equations for basins with characteristics near the applicable limits of the equations and for basins located in karst topography. A test of two drainage-area ratio methods using 31 pairs of streamgages, for the annual 7-day mean low-flow statistic for a recurrence interval of 10 years, indicates a weighted drainage-area ratio method provides better estimates than regional regression equations for an ungaged site on a gaged stream in Iowa when the drainage-area ratio is between 0.5 and 1.4. These regression equations will be implemented within the U.S. Geological Survey StreamStats web-based geographic-information-system tool. StreamStats allows users to click on any ungaged site on a river and compute estimates of the seven selected statistics; in addition, 90-percent prediction intervals and the measured basin characteristics for the ungaged sites also are provided. StreamStats also allows users to click on any streamgage in Iowa and estimates computed for these seven selected statistics are provided for the streamgage.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125171","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Eash, D.A., and Barnes, K., 2017, Methods for estimating selected low-flow frequency statistics and harmonic mean flows for streams in Iowa (Version 1.0: Originally posted 2012; Version 1.1: November 21, 2017): U.S. Geological Survey Scientific Investigations Report 2012-5171, viii, 94 p., https://doi.org/10.3133/sir20125171.","productDescription":"viii, 94 p.","numberOfPages":"106","onlineOnly":"Y","costCenters":[{"id":351,"text":"Iowa Water Science 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,{"id":58308,"text":"sir20045209 - 2017 - A water-budget analysis of Medina and Diversion Lakes and the Medina/Diversion Lake system, with estimated recharge to Edwards aquifer, San Antonio area, Texas","interactions":[],"lastModifiedDate":"2017-02-16T09:18:16","indexId":"sir20045209","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5209","title":"A water-budget analysis of Medina and Diversion Lakes and the Medina/Diversion Lake system, with estimated recharge to Edwards aquifer, San Antonio area, Texas","docAbstract":"<p>In January 2001, the U.S. Geological Survey—in cooperation with the Edwards Aquifer Authority—began a study to refine and, if possible, extend previously derived (1995–96) relations between the stage in Medina Lake and recharge to the Edwards aquifer to include the effects of reservoir stages below 1,018 feet and greater than 1,046&nbsp;feet above National Geodetic Vertical Datum of 1929. The principal objective of this present (2001–02) study was to estimate ground-water outflow (seepage) from Medina Lake, Diversion Lake, and from the Medina/Diversion Lake system through the calculation of water budgets representing steady-state conditions over as wide a range as possible in the stages of Medina and Diversion Lakes. The water budgets were compiled for selected periods during which time the water-budget components were inferred to be relatively stable and the influence of precipitation, stormwater runoff, and changes in storage were presumably minimal.</p><p>Water budgets for the Medina/Diversion Lake system were compiled for 127 water-budget periods ranging from 8 to 78 days from daily hydrologic data collected during March&nbsp;1955–September 1964, October 1995–September 1996, and February 2001–June 2002. Budgets for Medina and Diversion Lakes were compiled for 14 periods ranging from 8 to 23&nbsp;days from daily hydrologic data collected only during October 1995–September 1996 and April 2001–June 2002.</p><p>Linear equations were developed to relate the stage in Medina Lake to ground-water outflow from Medina Lake, Diversion Lake, and the Medina/Diversion Lake system. The computed mean rates of outflow from Medina Lake ranged from about 18 to 182 acre-feet per day between stages of 1,019 and 1,064 feet above National Geodetic Vertical Datum of 1929. The computed rates of outflow from Diversion Lake ranged from about -85 to 52 acre-feet per day. The rates of outflow from the entire lake system ranged from about 5 to 178 acre-feet per day between Medina Lake stages of 963 to 1,064 feet. It is assumed that all outflow from the lake system enters the ground-water system as recharge to the Edwards aquifer.</p><p>During the time that the stage in Medina Lake was greater than about 1,040 feet, Diversion Lake gained more water than it lost to the ground-water system and the rate of ground-water outflow from Medina Lake increased sharply while its stage was between about 1,043 and 1,045 feet. The observed outflow from Diversion Lake during this time decreased sharply to the extent that a net gain resulted—indicating that a substantial amount of the additional outflow from Medina Lake returned to Diversion Lake. When the stage in Medina Lake is at the spillway elevation of 1,064 feet, Diversion Lake appears to gain as much as 40 percent of the concurrent ground-water outflow from Medina Lake.</p><p>An indication of water moving from the lake system into the ground-water system and back to the surface-water system was observed in the most downstream reach of the Medina River, between Diversion Lake and the Medina River near Riomedina. During conditions of no flow over Diversion Dam, this reach of the Medina River gained from about 32 to 94 acre-feet per day, with the gain increasing with increasing stage in Diversion Lake.</p><p>The average of the monthly recharge to the Edwards aquifer from the Medina/Diversion Lake system—as estimated by the present study for the October 1995–September 2002 period—is 3,083 acre-feet, or about 56 percent of recharge computed for this period with a previously used (Lowry) method. The present study’s estimates of recharge for months with rising-lake stage conditions are about 44 percent of those computed with the previously used method, compared to about 60 percent for months with steady or falling-stage conditions. For stages greater than 1,045 feet, the present study estimated recharge to be about 52 percent of that computed with the previously used method, compared to about 64 percent at stages below 1,045 feet.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20045209","collaboration":"In cooperation with the Edwards Aquifer Authority","usgsCitation":"Slattery, R.N., and Miller, L.D., 2017, A water-budget analysis of Medina and Diversion Lakes and the Medina/Diversion Lake system, with estimated recharge to Edwards aquifer, San Antonio area, Texas (ver. 1.1, February 2017): U.S. Geological Survey Scientific Investigations Report 2004–5209, 41 p., https://doi.org/10.3133/sir20045209. ","productDescription":"Report: iv, 41 p.; Appendix; Data Release; Version History","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":181763,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":335301,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2004/5209/versionHist.txt","text":"Version History","size":"1.45 KB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":335300,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZS2TNF","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Reanalysis of the Medina/Diversion Lake System Water-Budget, with Estimated Recharge to Edwards Aquifer, San Antonio Area, Texas"},{"id":335297,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2004/5209/coverthb.jpg"},{"id":335298,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5209/sir20045209.pdf","text":"Report","size":"4.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2004–5209"},{"id":335299,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20173008","text":"Fact Sheet 2017–3008","size":"332 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3008"},{"id":335302,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2004/5209/sir20045209_appendix1.pdf","text":"Appendix 1","size":"363 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2004–5209 Appendix 1"}],"country":"United States","state":"Texas","otherGeospatial":"Upper Medina Basin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.7869,29.7168],[-98.8056,29.6968],[-98.8042,29.2513],[-98.8039,29.0884],[-99.4107,29.087],[-99.4132,29.6253],[-99.6033,29.6257],[-99.6031,29.9068],[-99.6908,29.9079],[-99.6915,29.9575],[-99.6923,30.0775],[-99.7577,30.0772],[-99.7576,30.2882],[-99.3032,30.289],[-99.3034,30.1398],[-98.9217,30.139],[-98.5896,30.1375],[-98.4138,29.9442],[-98.6478,29.7477],[-98.6493,29.7495],[-98.6508,29.7509],[-98.6514,29.7523],[-98.6529,29.7532],[-98.6534,29.7532],[-98.6555,29.7528],[-98.6561,29.7514],[-98.6561,29.7491],[-98.6567,29.7478],[-98.6583,29.7478],[-98.6593,29.7492],[-98.6609,29.7492],[-98.6624,29.7492],[-98.663,29.7483],[-98.6646,29.7465],[-98.6646,29.7447],[-98.6646,29.7433],[-98.6657,29.7415],[-98.6683,29.7415],[-98.6725,29.7429],[-98.6741,29.742],[-98.6762,29.7407],[-98.681,29.7389],[-98.6926,29.7381],[-98.6984,29.7364],[-98.7016,29.7341],[-98.7042,29.7332],[-98.7084,29.7337],[-98.711,29.7342],[-98.7132,29.7315],[-98.7153,29.7283],[-98.719,29.7274],[-98.7222,29.728],[-98.7279,29.7294],[-98.7316,29.7294],[-98.7342,29.7285],[-98.7343,29.7267],[-98.7338,29.7235],[-98.7333,29.7208],[-98.7407,29.7185],[-98.747,29.7186],[-98.7527,29.721],[-98.7595,29.7224],[-98.768,29.7216],[-98.7801,29.7204],[-98.7843,29.7195],[-98.7869,29.7168]]]},\"properties\":{\"name\":\"Bandera\",\"state\":\"TX\"}}]}","edition":"Originally posted December 22, 2004; Version 1.1: February 15, 2017","contact":"<p>Director, Texas Water Science Center<br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754<br></p><p><a href=\"http://tx.usgs.gov/\" data-mce-href=\"http://tx.usgs.gov\">https://tx.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Water-Budget Analysis<br></li><li>Estimated Recharge to Edwards Aquifer<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendix 1. Statistical reanalysis of Medina Lake stage data and groundwater outflows from Medina/Diversion Lake system, San Antonio area, Texas<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2004-12-22","revisedDate":"2017-02-15","noUsgsAuthors":false,"publicationDate":"2004-12-22","publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a521f","contributors":{"authors":[{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":258702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":258701,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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