{"pageNumber":"166","pageRowStart":"4125","pageSize":"25","recordCount":16461,"records":[{"id":70039004,"text":"sir20125136 - 2012 - Simulation of streamflow, evapotranspiration, and groundwater recharge in the middle Nueces River watershed, south Texas, 1961-2008","interactions":[],"lastModifiedDate":"2016-08-08T08:53:15","indexId":"sir20125136","displayToPublicDate":"2012-07-13T00:00:00","publicationYear":"2012","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":"2012-5136","title":"Simulation of streamflow, evapotranspiration, and groundwater recharge in the middle Nueces River watershed, south Texas, 1961-2008","docAbstract":"<p>The U.S. Geological Survey&mdash;in cooperation with the U.S. Army Corps of Engineers, Fort Worth District; City of Corpus Christi; Guadalupe&ndash;Blanco River Authority; San Antonio River Authority; and San Antonio Water System&mdash; configured, calibrated, and tested a watershed model for a study area consisting of about 7,726 square miles of the middle Nueces River watershed in south Texas. The purpose of the model is to contribute to the understanding of watershed processes and hydrologic conditions in the middle Nueces River watershed. The model simulates streamflow, evapotranspiration, and groundwater recharge by using a numerical representation of physical characteristics of the landscape and meteorological and streamflow data.</p>\n<p>Model simulations of streamflow, evapotranspiration, and groundwater recharge were performed for various periods of record depending upon available gaged data for input and comparison, starting as early as 1961. Because of the large size of the study area, the middle Nueces River watershed was divided into eight subwatersheds, and separate Hydrological Simulation Program&mdash;FORTRAN models were developed for each subwatershed. Simulation of the overall study area involved running simulations in downstream order. Output from the model was summarized by subwatershed, point locations, stream and reservoir reaches, and the Carrizo&ndash; Wilcox aquifer outcrop area. Four long-term U.S. Geological Survey streamflow-gaging stations were used for streamflow model calibration and testing with data from 1990 to 2008. Monthly evaporation estimates from 2001 to 2008 and waterlevel data from 1961 to 2008 at Lake Corpus Christi also were used for model calibration. Additionally, evapotranspiration data for 2006&ndash;8 from a U.S. Geological Survey meteorological station in Medina County were used for calibration.</p>\n<p>Streamflow calibrations were considered poor to very good. The 2000&ndash;8 calibration results were characterized as good to very good for total flow volumes and for the volume of the highest 10 percent of daily flows. Calibration results for streamflow volumes of the lowest 50 percent of daily flows were considered poor. The daily streamflow calibration at U.S. Geological Survey streamflow-gaging station 08210000 Nueces River near Three Rivers, Tex., had the lowest (best) root mean square error, and U.S. Geological Survey streamflow-gaging station 08194500 Nueces River near Tilden, Tex., had the highest root mean square error expressed as a percentage of the mean flow rate. The mean daily reservoir volume during 1961&ndash;2008 was 182,000 acre-feet. Simulated mean daily reservoir volume was within 9 percent of this computed volume.</p>\n<p>Selected results of the model include streamflow yields for the subwatersheds and water-balance information for the Carrizo&ndash;Wilcox aquifer outcrop area. For the entire model domain, the area-weighted mean streamflow yield from 1961 to 2008 was 1.12 inches/year. The mean annual rainfall on the outcrop area during the 1961&ndash;2008 simulation period was 21.7 inches. Of this rainfall, an annual mean of 20.1 inches (about 93 percent) was simulated as evapotranspiration, 1.2 inches (about 6 percent) was simulated as groundwater recharge, and 0.5 inches (about 2 percent) was simulated as surface runoff.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125136","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Fort Worth District; City of Corpus Christi; Guadalupe-Blanco River Authority; San Antonio River Authority; and San Antonio Water System","usgsCitation":"Dietsch, B.J., and Wehmeyer, L.L., 2012, Simulation of streamflow, evapotranspiration, and groundwater recharge in the middle Nueces River watershed, south Texas, 1961-2008: U.S. Geological Survey Scientific Investigations Report 2012-5136, vi, 37 p., https://doi.org/10.3133/sir20125136.","productDescription":"vi, 37 p.","numberOfPages":"37","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":258887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5136.JPG"},{"id":258871,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5136/pdf/sir2012-5136.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":258870,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5136/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator","datum":"North American Datum","country":"United States","state":"Texas","otherGeospatial":"Nueces River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.5,27.5 ], [ -100.5,30.000833333333333 ], [ -97.5,30.000833333333333 ], [ -97.5,27.5 ], [ -100.5,27.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9096e4b08c986b3195b4","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465397,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039015,"text":"ofr20121143 - 2012 - Independent technical review and analysis of hydraulic modeling and hydrology under low-flow conditions of the Des Plaines River near Riverside, Illinois","interactions":[],"lastModifiedDate":"2012-07-14T01:01:39","indexId":"ofr20121143","displayToPublicDate":"2012-07-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1143","title":"Independent technical review and analysis of hydraulic modeling and hydrology under low-flow conditions of the Des Plaines River near Riverside, Illinois","docAbstract":"The U.S. Geological Survey (USGS) has operated a streamgage and published daily flows for the Des Plaines River at Riverside since Oct. 1, 1943. A HEC-RAS model has been developed to estimate the effect of the removal of Hofmann Dam near the gage on low-flow elevations in the reach approximately 3 miles upstream from the dam. The Village of Riverside, the Illinois Department of Natural Resources-Office of Water Resources (IDNR-OWR), and the U. S. Army Corps of Engineers-Chicago District (USACE-Chicago) are interested in verifying the performance of the HEC-RAS model for specific low-flow conditions, and obtaining an estimate of selected daily flow quantiles and other low-flow statistics for a selected period of record that best represents current hydrologic conditions. Because the USGS publishes streamflow records for the Des Plaines River system and provides unbiased analyses of flows and stream hydraulic characteristics, the USGS served as an Independent Technical Reviewer (ITR) for this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121143","usgsCitation":"Over, T.M., Straub, T., Hortness, J., and Murphy, E., 2012, Independent technical review and analysis of hydraulic modeling and hydrology under low-flow conditions of the Des Plaines River near Riverside, Illinois: U.S. Geological Survey Open-File Report 2012-1143, v, 73 p., https://doi.org/10.3133/ofr20121143.","productDescription":"v, 73 p.","onlineOnly":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":258856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1143.JPG"},{"id":258846,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1143/pdf/ofr20121143_071212.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":258847,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1143/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois","otherGeospatial":"Hofmann Dam;Des Plaines River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.83416666666666,41.80138888888889 ], [ -87.83416666666666,41.83444444444444 ], [ -87.81666666666666,41.83444444444444 ], [ -87.81666666666666,41.80138888888889 ], [ -87.83416666666666,41.80138888888889 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3a11e4b0c8380cd61b37","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hortness, Jon 0000-0002-9809-2876 hortness@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-2876","contributorId":3601,"corporation":false,"usgs":true,"family":"Hortness","given":"Jon","email":"hortness@usgs.gov","affiliations":[],"preferred":true,"id":465432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":465433,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045452,"text":"70045452 - 2012 - Concentrations and annual fluxes of sediment-associated chemical constituents from conterminous US coastal rivers using bed sediment data","interactions":[],"lastModifiedDate":"2013-05-09T15:44:32","indexId":"70045452","displayToPublicDate":"2012-07-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations and annual fluxes of sediment-associated chemical constituents from conterminous US coastal rivers using bed sediment data","docAbstract":"Coastal rivers represent a significant pathway for the delivery of natural and anthropogenic sediment-associated chemical constituents to the Atlantic, Pacific and Gulf of Mexico coasts of the conterminous USA. This study entails an accounting segment using published average annual suspended sediment fluxes with published sediment-associated chemical constituent concentrations for (1) baseline, (2) land-use distributions, (3) population density, and (4) worldwide means to estimate concentrations/annual fluxes for trace/major elements and total phosphorus, total organic and inorganic carbon, total nitrogen, and sulphur, for 131 coastal river basins. In addition, it entails a sampling and subsequent chemical analysis segment that provides a level of ‘ground truth’ for the calculated values, as well as generating baselines for sediment-associated concentrations/fluxes against which future changes can be evaluated. Currently, between 260 and 270 Mt of suspended sediment are discharged annually from the conterminous USA; about 69% is discharged from Gulf rivers (n = 36), about 24% from Pacific rivers (n = 42), and about 7% from Atlantic rivers (n = 54). Elevated sediment-associated chemical concentrations relative to baseline levels occur in the reverse order of sediment discharges:Atlantic rivers (49%)>Pacific rivers (40%)>Gulf rivers (23%). Elevated trace element concentrations (e.g. Cu, Hg, Pb, Zn) frequently occur in association with present/former industrial areas and/or urban centres, particularly along the northeast Atlantic coast. Elevated carbon and nutrient concentrations occur along both the Atlantic and Gulf coasts but are dominated by rivers in the urban northeast and by southeastern and Gulf coast (Florida) ‘blackwater’ streams. Elevated Ca, Mg, K, and Na distributions tend to reflect local petrology, whereas elevated Ti, S, Fe, and Al concentrations are ubiquitous, possibly because they have substantial natural as well as anthropogenic sources. Almost all the elevated sediment-associated chemical concentrations found in conterminous US coastal rivers are lower than worldwide averages.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.8437","usgsCitation":"Horowitz, A.J., Stephens, V.C., Elrick, K.A., and Smith, J.J., 2012, Concentrations and annual fluxes of sediment-associated chemical constituents from conterminous US coastal rivers using bed sediment data: Hydrological Processes, v. 26, p. 1090-1114, https://doi.org/10.1002/hyp.8437.","startPage":"1090","endPage":"1114","numberOfPages":"25","ipdsId":"IP-033553","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":272162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272161,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8437"}],"country":"United States","volume":"26","noUsgsAuthors":false,"publicationDate":"2012-02-08","publicationStatus":"PW","scienceBaseUri":"518cc560e4b05ebc8f7cc100","contributors":{"authors":[{"text":"Horowitz, Arthur J. 0000-0002-3296-730X horowitz@usgs.gov","orcid":"https://orcid.org/0000-0002-3296-730X","contributorId":1400,"corporation":false,"usgs":true,"family":"Horowitz","given":"Arthur","email":"horowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephens, Verlin C.","contributorId":34479,"corporation":false,"usgs":true,"family":"Stephens","given":"Verlin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elrick, Kent A.","contributorId":78415,"corporation":false,"usgs":true,"family":"Elrick","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, James J.","contributorId":74086,"corporation":false,"usgs":true,"family":"Smith","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477517,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039009,"text":"70039009 - 2012 - An assessment of the carbon balance of arctic tundra: comparisons among observations, process models, and atmospheric inversions","interactions":[],"lastModifiedDate":"2012-07-13T01:01:54","indexId":"70039009","displayToPublicDate":"2012-07-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of the carbon balance of arctic tundra: comparisons among observations, process models, and atmospheric inversions","docAbstract":"Although arctic tundra has been estimated to cover only 8% of the global land surface, the large and potentially labile carbon pools currently stored in tundra soils have the potential for large emissions of carbon (C) under a warming climate. These emissions as radiatively active greenhouse gases in the form of both CO<sub>2</sub> and CH<sub>4</sub> could amplify global warming. Given the potential sensitivity of these ecosystems to climate change and the expectation that the Arctic will experience appreciable warming over the next century, it is important to assess whether responses of C exchange in tundra regions are likely to enhance or mitigate warming. In this study we compared analyses of C exchange of Arctic tundra between 1990&ndash;1999 and 2000&ndash;2006 among observations, regional and global applications of process-based terrestrial biosphere models, and atmospheric inversion models. Syntheses of the compilation of flux observations and of inversion model results indicate that the annual exchange of CO<sub>2</sub> between arctic tundra and the atmosphere has large uncertainties that cannot be distinguished from neutral balance. The mean estimate from an ensemble of process-based model simulations suggests that arctic tundra acted as a sink for atmospheric CO<sub>2</sub> in recent decades, but based on the uncertainty estimates it cannot be determined with confidence whether these ecosystems represent a weak or a strong sink. Tundra was 0.6 &deg;C warmer in the 2000s compared to the 1990s. The central estimates of the observations, process-based models, and inversion models each identify stronger sinks in the 2000s compared with the 1990s. Similarly, the observations and the applications of regional process-based models suggest that CH<sub>4</sub> emissions from arctic tundra have increased from the 1990s to 2000s. Based on our analyses of the estimates from observations, process-based models, and inversion models, we estimate that arctic tundra was a sink for atmospheric CO<sub>2</sub> of 110 Tg C yr<sup>-1</sup> (uncertainty between a sink of 291 Tg C yr<sup>-1</sup> and a source of 80 Tg C yr<sup>-1</sup>) and a source of CH<sub>4</sub> to the atmosphere of 19 Tg C yr<sup>-1</sup> (uncertainty between sources of 8 and 29 Tg C yr<sup>-1</sup>). The suite of analyses conducted in this study indicate that it is clearly important to reduce uncertainties in the observations, process-based models, and inversions in order to better understand the degree to which Arctic tundra is influencing atmospheric CO<sub>2</sub> and CH<sub>4</sub> concentrations. The reduction of uncertainties can be accomplished through (1) the strategic placement of more CO<sub>2</sub> and CH<sub>4</sub> monitoring stations to reduce uncertainties in inversions, (2) improved observation networks of ground-based measurements of CO<sub>2</sub> and CH<sub>4</sub> exchange to understand exchange in response to disturbance and across gradients of hydrological variability, and (3) the effective transfer of information from enhanced observation networks into process-based models to improve the simulation of CO<sub>2</sub> and CH<sub>4</sub> exchange from arctic tundra to the atmosphere.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/bgd-9-4543-2012","usgsCitation":"McGuire, A., Christensen, T., Hayes, D., Heroult, A., Euskirchen, E., Yi, Y., Kimball, J., Koven, C., Lafleur, P., Miller, P., Oechel, W., Peylin, P., and Williams, M., 2012, An assessment of the carbon balance of arctic tundra: comparisons among observations, process models, and atmospheric inversions: Biogeosciences, v. 9, no. 4, p. 4543-4594, https://doi.org/10.5194/bgd-9-4543-2012.","productDescription":"52 p.","startPage":"4543","endPage":"4594","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474415,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bgd-9-4543-2012","text":"Publisher Index Page"},{"id":258449,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258437,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bgd-9-4543-2012","linkFileType":{"id":5,"text":"html"}}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea17e4b0c8380cd4861a","contributors":{"authors":[{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":465408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, T.R.","contributorId":81440,"corporation":false,"usgs":true,"family":"Christensen","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":465416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, D.","contributorId":15275,"corporation":false,"usgs":true,"family":"Hayes","given":"D.","email":"","affiliations":[],"preferred":false,"id":465407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heroult, A.","contributorId":65732,"corporation":false,"usgs":true,"family":"Heroult","given":"A.","email":"","affiliations":[],"preferred":false,"id":465412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Euskirchen, E.","contributorId":62473,"corporation":false,"usgs":true,"family":"Euskirchen","given":"E.","email":"","affiliations":[],"preferred":false,"id":465411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yi, Y.","contributorId":79274,"corporation":false,"usgs":true,"family":"Yi","given":"Y.","email":"","affiliations":[],"preferred":false,"id":465415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kimball, J.S.","contributorId":79141,"corporation":false,"usgs":true,"family":"Kimball","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":465414,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koven, C.","contributorId":39655,"corporation":false,"usgs":true,"family":"Koven","given":"C.","email":"","affiliations":[],"preferred":false,"id":465410,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lafleur, P.","contributorId":23026,"corporation":false,"usgs":true,"family":"Lafleur","given":"P.","email":"","affiliations":[],"preferred":false,"id":465409,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, P.A.","contributorId":89414,"corporation":false,"usgs":true,"family":"Miller","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":465417,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oechel, W.","contributorId":76104,"corporation":false,"usgs":true,"family":"Oechel","given":"W.","email":"","affiliations":[],"preferred":false,"id":465413,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peylin, P.","contributorId":14265,"corporation":false,"usgs":true,"family":"Peylin","given":"P.","email":"","affiliations":[],"preferred":false,"id":465406,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Williams, Murray","contributorId":100499,"corporation":false,"usgs":true,"family":"Williams","given":"Murray","email":"","affiliations":[],"preferred":false,"id":465418,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70038924,"text":"ofr20121116 - 2012 - P2S--Coupled simulation with the Precipitation-Runoff Modeling System (PRMS) and the Stream Temperature Network (SNTemp) Models","interactions":[],"lastModifiedDate":"2012-07-06T01:01:41","indexId":"ofr20121116","displayToPublicDate":"2012-07-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1116","title":"P2S--Coupled simulation with the Precipitation-Runoff Modeling System (PRMS) and the Stream Temperature Network (SNTemp) Models","docAbstract":"A software program, called P2S, has been developed which couples the daily stream temperature simulation capabilities of the U.S. Geological Survey Stream Network Temperature model with the watershed hydrology simulation capabilities of the U.S. Geological Survey Precipitation-Runoff Modeling System. The Precipitation-Runoff Modeling System is a modular, deterministic, distributed-parameter, physical-process watershed model that simulates hydrologic response to various combinations of climate and land use. Stream Network Temperature was developed to help aquatic biologists and engineers predict the effects of changes that hydrology and energy have on water temperatures. P2S will allow scientists and watershed managers to evaluate the effects of historical climate and projected climate change, landscape evolution, and resource management scenarios on watershed hydrology and in-stream water temperature.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121116","usgsCitation":"Markstrom, S., 2012, P2S--Coupled simulation with the Precipitation-Runoff Modeling System (PRMS) and the Stream Temperature Network (SNTemp) Models: U.S. Geological Survey Open-File Report 2012-1116, v, 19 p.; ill. (some col.), https://doi.org/10.3133/ofr20121116.","productDescription":"v, 19 p.; ill. (some col.)","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":144,"text":"Branch of Regional Research","active":false,"usgs":true}],"links":[{"id":258186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1116.gif"},{"id":258167,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1116/","linkFileType":{"id":5,"text":"html"}},{"id":258168,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1116/OF12-1116.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a731de4b0c8380cd76e80","contributors":{"authors":[{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":465258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038915,"text":"70038915 - 2012 - Interannual variability of snowmelt in the Sierra Nevada and Rocky Mountains, United States: examples from two alpine watersheds","interactions":[],"lastModifiedDate":"2012-07-06T01:01:41","indexId":"70038915","displayToPublicDate":"2012-07-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Interannual variability of snowmelt in the Sierra Nevada and Rocky Mountains, United States: examples from two alpine watersheds","docAbstract":"The distribution of snow and the energy flux components of snowmelt are intrinsic characteristics of the alpine water cycle controlling the location of source waters and the effect of climate on streamflow. Interannual variability of these characteristics is relevant to the effect of climate change on alpine hydrology. Our objective is to characterize the interannual variability in the spatial distribution of snow and energy fluxes of snowmelt in watersheds of a maritime setting, Tokopah Basin (TOK) in California's southern Sierra Nevada, and a continental setting, Green Lake 4 Valley (GLV4) in Colorado's Front Range, using a 12 year database (1996&ndash;2007) of hydrometeorological observations and satellite-derived snow cover. Snowpacks observed in GLV4 exhibit substantially greater spatial variability than in TOK (0.75 versus 0.28 spatial coefficient of variation). In addition, modeling results indicate that the net turbulent energy flux contribution to snowmelt in GLV4 is, on average, 3 times greater in magnitude (mean 29% versus 10%) and interannual variability (standard deviation 17% versus 6%) than in TOK. These energy flux values exhibit strong seasonality, increasing as the melt season progresses to times later in the year (R<sup>2</sup> = 0.54&ndash;0.77). This seasonality of energy flux appears to be associated with snowmelt rates that generally increase with onset date of melt (0.02 cm d<sup>-2</sup>). This seasonality in snowmelt rate, coupled to differences in hydrogeology, may account for the observed differences in correspondence between the timing of snowmelt and timing of streamflow in these watersheds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011006","usgsCitation":"Jepsen, S.M., Molotch, N., Williams, M.W., Rittger, K.E., and Sickman, J.O., 2012, Interannual variability of snowmelt in the Sierra Nevada and Rocky Mountains, United States: examples from two alpine watersheds: Water Resources Research, v. 48, 15 p.; W02529, https://doi.org/10.1029/2011WR011006.","productDescription":"15 p.; W02529","numberOfPages":"15","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":474424,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011006","text":"Publisher Index Page"},{"id":258177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258169,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011006","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Sierra Nevada;Rocky Mountains","volume":"48","noUsgsAuthors":false,"publicationDate":"2012-02-23","publicationStatus":"PW","scienceBaseUri":"505a3ce9e4b0c8380cd63143","contributors":{"authors":[{"text":"Jepsen, Steven M. sjepsen@usgs.gov","contributorId":3892,"corporation":false,"usgs":true,"family":"Jepsen","given":"Steven","email":"sjepsen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":465223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Molotch, Noah P.","contributorId":79741,"corporation":false,"usgs":true,"family":"Molotch","given":"Noah P.","affiliations":[],"preferred":false,"id":465227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Mark W.","contributorId":43046,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":465226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittger, Karl E.","contributorId":13850,"corporation":false,"usgs":true,"family":"Rittger","given":"Karl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":465224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sickman, James O.","contributorId":30741,"corporation":false,"usgs":true,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":465225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038903,"text":"70038903 - 2012 - Hyper-dry conditions provide new insights into the cause of extreme floods after wildfire","interactions":[],"lastModifiedDate":"2012-07-04T01:02:11","indexId":"70038903","displayToPublicDate":"2012-07-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Hyper-dry conditions provide new insights into the cause of extreme floods after wildfire","docAbstract":"A catastrophic wildfire in the foothills of the Rocky Mountains near Boulder, Colorado provided a unique opportunity to investigate soil conditions immediately after a wildfire and before alteration by rainfall. Measurements of near-surface (< 6 cm) soil properties (temperature, volumetric soil-water content, <i>&theta;</i>; and matric suction, <i>&psi;</i>), rainfall, and wind velocity were started 8 days after the wildfire began. These measurements established that hyper-dryconditions (<i>&theta;</i> < ~ 0.02 cm<sup>3</sup> cm<sup>-3</sup>; <i>&psi;</i> > ~ 3 x 10<sup>5</sup> cm) existed and provided an in-situ retention curve for these conditions. These conditions exacerbate the effects of water repellency (natural and fire-induced) and limit the effectiveness of capillarity and gravity driven infiltration into fire-affected soils. The important consequence is that given hyper-dryconditions, the critical rewetting process before the first rain is restricted to the diffusion&ndash;adsorption of water-vapor. This process typically has a time scale of days to weeks (especially when the hydrologic effects of the ash layer are included) that is longer than the typical time scale (minutes to hours) of some rainstorms, such that under hyper-dryconditions essentially no rain infiltrates. The existence of hyper-dryconditions provides insight into why, frequently during the first rain storm after a wildfire, nearly all rainfall becomes runoff causing extremefloods and debris flows.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Catena","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.catena.2012.01.006","usgsCitation":"Moody, J.A., and Ebel, B.A., 2012, Hyper-dry conditions provide new insights into the cause of extreme floods after wildfire: Catena, v. 93, p. 58-63, https://doi.org/10.1016/j.catena.2012.01.006.","productDescription":"6 p.","startPage":"58","endPage":"63","numberOfPages":"6","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":258145,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258141,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.catena.2012.01.006","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","city":"Boulder","otherGeospatial":"Rocky Mountains","volume":"93","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a37b5e4b0c8380cd610c1","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":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":465211,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102472,"text":"70102472 - 2012 - Gaining the necessary geologic, hydrologic, and geochemical understanding for additional brackish groundwater development, coastal San Diego, California, USA","interactions":[],"lastModifiedDate":"2014-07-02T14:56:17","indexId":"70102472","displayToPublicDate":"2012-07-01T15:38:00","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Gaining the necessary geologic, hydrologic, and geochemical understanding for additional brackish groundwater development, coastal San Diego, California, USA","docAbstract":"<p>Local water agencies and the United States Geological Survey are using a \ncombination of techniques to better understand the scant freshwater resources and the much \nmore abundant brackish resources in coastal San Diego, California, USA. Techniques include \ninstallation of multiple-depth monitoring well sites; geologic and paleontological analysis of \ndrill cuttings; geophysical logging to identify formations and possible seawater intrusion; \nsampling of pore-water obtained from cores; analysis of chemical constituents including trace \nelements and isotopes; and use of scoping models including a three-dimensional geologic \nframework model, rainfall-runoff model, regional groundwater flow model, and coastal \ndensity-dependent groundwater flow model. Results show that most fresh groundwater was \nrecharged during the last glacial period and that the coastal aquifer has had recurring \nintrusions of fresh and saline water. These intrusions disguise the source, flowpaths, and \nhistory of ground water near the coast. The flow system includes a freshwater lens resting on \nbrackish water; a 100-meter-thick flowtube of freshwater discharging under brackish \nestuarine water and above highly saline water; and broad areas of fine-grained coastal \nsediment filled with fairly uniform brackish water. Stable isotopes of hydrogen and oxygen \nindicate the recharged water flows through many kilometers of fractured crystalline rock \nbefore entering the narrow coastal aquifer.</p>","largerWorkTitle":"22nd Salt Water Intrusion Meeting (SWIM)","conferenceTitle":"22nd Salt Water Intrusion Meeting (SWIM)","conferenceDate":"2012-06-17T00:00:00","conferenceLocation":"Buzios, Brazil","language":"English","publisher":"Salt Water Intrusion Meeting (SWIM)","usgsCitation":"Danskin, W.R., 2012, Gaining the necessary geologic, hydrologic, and geochemical understanding for additional brackish groundwater development, coastal San Diego, California, USA, 5 p.","productDescription":"5 p.","numberOfPages":"5","ipdsId":"IP-037915","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":289402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286520,"type":{"id":15,"text":"Index Page"},"url":"https://ca.water.usgs.gov/sandiego/abstracts/SWIM.Danskin.LoRes.pdf"}],"country":"United States","state":"California","city":"San Diego","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.282167,32.534856 ], [ -117.282167,33.114249 ], [ -116.90816,33.114249 ], [ -116.90816,32.534856 ], [ -117.282167,32.534856 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b13ee4b0388651d9173b","contributors":{"authors":[{"text":"Danskin, Wesley R. 0000-0001-8672-5501 wdanskin@usgs.gov","orcid":"https://orcid.org/0000-0001-8672-5501","contributorId":1034,"corporation":false,"usgs":true,"family":"Danskin","given":"Wesley","email":"wdanskin@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493008,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70074333,"text":"70074333 - 2012 - Monitoring groundwater-surface water interaction using time-series and time-frequency analysis of transient three-dimensional electrical resistivity changes","interactions":[],"lastModifiedDate":"2014-01-29T11:47:14","indexId":"70074333","displayToPublicDate":"2012-07-01T11:21:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring groundwater-surface water interaction using time-series and time-frequency analysis of transient three-dimensional electrical resistivity changes","docAbstract":"Time-lapse resistivity imaging is increasingly used to monitor hydrologic processes. Compared to conventional hydrologic measurements, surface time-lapse resistivity provides superior spatial coverage in two or three dimensions, potentially high-resolution information in time, and information in the absence of wells. However, interpretation of time-lapse electrical tomograms is complicated by the ever-increasing size and complexity of long-term, three-dimensional (3-D) time series conductivity data sets. Here we use 3-D surface time-lapse electrical imaging to monitor subsurface electrical conductivity variations associated with stage-driven groundwater-surface water interactions along a stretch of the Columbia River adjacent to the Hanford 300 near Richland, Washington, USA. We reduce the resulting 3-D conductivity time series using both time-series and time-frequency analyses to isolate a paleochannel causing enhanced groundwater-surface water interactions. Correlation analysis on the time-lapse imaging results concisely represents enhanced groundwater-surface water interactions within the paleochannel, and provides information concerning groundwater flow velocities. Time-frequency analysis using the Stockwell (S) transform provides additional information by identifying the stage periodicities driving groundwater-surface water interactions due to upstream dam operations, and identifying segments in time-frequency space when these interactions are most active. These results provide new insight into the distribution and timing of river water intrusion into the Hanford 300 Area, which has a governing influence on the behavior of a uranium plume left over from historical nuclear fuel processing operations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2012WR011893","usgsCitation":"Johnson, T., Slater, L.D., Ntarlagiannis, D., Day-Lewis, F.D., and Elwaseif, M., 2012, Monitoring groundwater-surface water interaction using time-series and time-frequency analysis of transient three-dimensional electrical resistivity changes: Water Resources Research, v. 48, no. 7, 13 p., https://doi.org/10.1029/2012WR011893.","productDescription":"13 p.","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-037950","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":474426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012wr011893","text":"Publisher Index Page"},{"id":281648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281637,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012WR011893"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Doe Hanford 300 Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.400291,46.259468 ], [ -119.400291,46.370457 ], [ -119.211394,46.370457 ], [ -119.211394,46.259468 ], [ -119.400291,46.259468 ] ] ] } } ] }","volume":"48","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-07-10","publicationStatus":"PW","scienceBaseUri":"53cd681fe4b0b29085101d37","contributors":{"authors":[{"text":"Johnson, Timothy C.","contributorId":99884,"corporation":false,"usgs":true,"family":"Johnson","given":"Timothy C.","affiliations":[],"preferred":false,"id":489506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee D.","contributorId":95792,"corporation":false,"usgs":true,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ntarlagiannis, Dimitris","contributorId":14295,"corporation":false,"usgs":true,"family":"Ntarlagiannis","given":"Dimitris","affiliations":[],"preferred":false,"id":489503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":489502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elwaseif, Mehrez","contributorId":86681,"corporation":false,"usgs":true,"family":"Elwaseif","given":"Mehrez","email":"","affiliations":[],"preferred":false,"id":489504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043500,"text":"70043500 - 2012 - Flood pulsing in the Sudd wetland: analysis of seasonal variations in 2 inundation and evapotranspiration in Southern Sudan","interactions":[],"lastModifiedDate":"2013-02-23T12:23:56","indexId":"70043500","displayToPublicDate":"2012-07-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Flood pulsing in the Sudd wetland: analysis of seasonal variations in 2 inundation and evapotranspiration in Southern Sudan","docAbstract":"Located on the Bahr el Jebel in South Sudan, the Sudd is one of the largest floodplain wetlands in the world. Seasonal inundation drives the hydrologic, geomorphological, and ecological processes, and the annual flood pulse is essential to the functioning of the Sudd. Despite the importance of the flood pulse, various hydrological interventions are planned upstream of the Sudd to increase economic benefits and food security. These will not be without consequences, in particular for wetlands where the biological productivity, biodiversity, and human livelihoods are dependent on the flood pulse and both the costs and benefits need to be carefully evaluated. Many African countries still lack regional baseline information on the temporal extent, distribution, and characteristics of wetlands, making it hard to assess the consequences of development interventions. Because of political instability in Sudan and the inaccessible nature of the Sudd, recent measurements of flooding and seasonal dynamics are inadequate. Analyses of multitemporal and multisensor remote sensing datasets are presented in this paper, in order to investigate and characterize flood pulsing within the Sudd wetland over a 12-month period. Wetland area has been mapped along with dominant components of open water and flooded vegetation at five time periods over a single year. The total area of flooding (both rain and river fed) over the 12 months was 41 334 km2, with 9176 km2 of this constituting the permanent wetland. Mean annual total evaporation is shown to be higher and with narrower distribution of values from areas of open water (1718 mm) than from flooded vegetation (1641 mm). Although the exact figures require validation against ground-based measurements, the results highlight the relative differences in inundation patterns and evaporation across the Sudd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/2011EI382.1","usgsCitation":"Senay, G.B., Rebelo, L., and McCartney, M., 2012, Flood pulsing in the Sudd wetland: analysis of seasonal variations in 2 inundation and evapotranspiration in Southern Sudan: Earth Interactions, v. 16, no. 1, p. 1-19, https://doi.org/10.1175/2011EI382.1.","startPage":"1","endPage":"19","ipdsId":"IP-025134","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2011ei382.1","text":"Publisher Index Page"},{"id":268020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268019,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2011EI382.1"}],"country":"Sudan","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-13","publicationStatus":"PW","scienceBaseUri":"5129f321e4b04edf7e93f8aa","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rebelo, L-M.","contributorId":12345,"corporation":false,"usgs":true,"family":"Rebelo","given":"L-M.","email":"","affiliations":[],"preferred":false,"id":473719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCartney, M.P.","contributorId":15494,"corporation":false,"usgs":true,"family":"McCartney","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":473720,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041824,"text":"70041824 - 2012 - Water, climate, and vegetation: ecohydrology in a changing world","interactions":[],"lastModifiedDate":"2013-04-09T19:20:43","indexId":"70041824","displayToPublicDate":"2012-07-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Water, climate, and vegetation: ecohydrology in a changing world","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisherLocation":"Reston, VA","usgsCitation":"Dong, Q., Wang, L., Liu, J., Sun, G., and Wei, X., 2012, Water, climate, and vegetation: ecohydrology in a changing world: Hydrology and Earth System Sciences.","ipdsId":"IP-042344","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":270735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270734,"type":{"id":11,"text":"Document"},"url":"https://www.hydrol-earth-syst-sci-discuss.net/special_issue74.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51653873e4b077fa94dae02a","contributors":{"authors":[{"text":"Dong, Quan 0000-0003-0571-5884 qdong@usgs.gov","orcid":"https://orcid.org/0000-0003-0571-5884","contributorId":4506,"corporation":false,"usgs":true,"family":"Dong","given":"Quan","email":"qdong@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":470240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Lixin","contributorId":92943,"corporation":false,"usgs":true,"family":"Wang","given":"Lixin","email":"","affiliations":[],"preferred":false,"id":470243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Junguo","contributorId":60513,"corporation":false,"usgs":true,"family":"Liu","given":"Junguo","email":"","affiliations":[],"preferred":false,"id":470241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Ge","contributorId":72275,"corporation":false,"usgs":true,"family":"Sun","given":"Ge","affiliations":[],"preferred":false,"id":470242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, Xiaohua","contributorId":106775,"corporation":false,"usgs":true,"family":"Wei","given":"Xiaohua","email":"","affiliations":[],"preferred":false,"id":470244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70171530,"text":"70171530 - 2012 - Annual estimates of water and solute export from 42 tributaries to the Yukon River","interactions":[],"lastModifiedDate":"2016-06-02T13:53:41","indexId":"70171530","displayToPublicDate":"2012-06-30T14:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Annual estimates of water and solute export from 42 tributaries to the Yukon River","docAbstract":"<p><span>Annual export of 11 major and trace solutes for the Yukon River is found to be accurately determined based on summing 42 tributary contributions. These findings provide the first published estimates of tributary specific distribution of solutes within the Yukon River basin. First, we show that annual discharge of the Yukon River can be computed by summing calculated annual discharges from 42 tributaries. Annual discharge for the tributaries is calculated from the basin area and average annual precipitation over that area using a previously published regional regression equation. Based on tributary inputs, we estimate an average annual discharge for the Yukon River of 210&thinsp;km</span><sup>3</sup><span>&thinsp;year</span><sup>&ndash;1</sup><span>. This value is within 1% of the average measured annual discharge at the U.S. Geological Survey gaging station near the river terminus at Pilot Station, AK, for water years 2001 through 2005. Next, annual loads for 11 solutes are determined by combining annual discharge with point measurements of solute concentrations in tributary river water. Based on the sum of solutes in tributary water, we find that the Yukon River discharges approximately 33 million metric tons of dissolved solids each year at Pilot Station. Discharged solutes are dominated by cations calcium and magnesium (5.65&thinsp;&times;&thinsp;10</span><sup>9</sup><span>&nbsp;and 1.42&thinsp;&times;&thinsp;10</span><sup>9</sup><span>&thinsp;g&thinsp;year</span><sup>&ndash;1</sup><span>) and anions bicarbonate and sulphate (17.3&thinsp;&times;&thinsp;10</span><sup>9</sup><span>&nbsp;and 5.40&thinsp;&times;&thinsp;10</span><sup>9</sup><span>&thinsp;g&thinsp;year</span><sup>&ndash;1</sup><span>). These loads compare well with loads calculated independently at the three continuous gaging stations along the Yukon River. These findings show how annual solute yields vary throughout a major subarctic river basin and that accurate estimates of total river export can be determined from calculated tributary contributions.</span></p>","language":"English","publisher":"Wiley InterScience","publisherLocation":"Chichester, Sussex, England","doi":"10.1002/hyp.8255","usgsCitation":"Zanden, F., Suzanne P. Anderson, and Striegl, R.G., 2012, Annual estimates of water and solute export from 42 tributaries to the Yukon River: Hydrological Processes, v. 26, no. 13, p. 1949-1961, https://doi.org/10.1002/hyp.8255.","productDescription":"13 p.","startPage":"1949","endPage":"1961","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021580","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-07","publicationStatus":"PW","scienceBaseUri":"575158ade4b053f0edd03c1c","contributors":{"authors":[{"text":"Zanden, Frederick","contributorId":169957,"corporation":false,"usgs":false,"family":"Zanden","given":"Frederick","email":"","affiliations":[{"id":25642,"text":"Institute of arctic and Alpine Research, Univ. of Co, Boulder, C","active":true,"usgs":false}],"preferred":false,"id":631610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suzanne P. Anderson","contributorId":169958,"corporation":false,"usgs":false,"family":"Suzanne P. Anderson","affiliations":[{"id":25643,"text":"Institute of Arctic and Alpine Research, Unv. of Co, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":631611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":631609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038886,"text":"sir20125086 - 2012 - Seasonal patterns in nutrients, carbon, and algal responses in wadeable streams within three geographically distinct areas of the United States, 2007-08","interactions":[],"lastModifiedDate":"2012-07-03T17:03:08","indexId":"sir20125086","displayToPublicDate":"2012-06-29T00:00:00","publicationYear":"2012","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":"2012-5086","title":"Seasonal patterns in nutrients, carbon, and algal responses in wadeable streams within three geographically distinct areas of the United States, 2007-08","docAbstract":"The U.S. Geological Survey determined seasonal variability in nutrients, carbon, and algal biomass in 22 wadeable streams over a 1-year period during 2007 or 2008 within three geographically distinct areas in the United States. The three areas are the Upper Mississippi River Basin (UMIS) in Minnesota, the Ozark Plateaus (ORZK) in southern Missouri and northern Arkansas, and the Upper Snake River Basin (USNK) in southern Idaho. Seasonal patterns in some constituent concentrations and algal responses were distinct. Nitrate concentrations were greatest during the winter in all study areas potentially because of a reduction in denitrification rates and algal uptake during the winter, along with reduced surface runoff. Decreases in nitrate concentrations during the spring and summer at most stream sites coincided with increased streamflow during the snowmelt runoff or spring storms indicating dilution. The continued decrease in nitrate concentrations during summer potentially is because of a reduction in nitrate inputs (from decreased surface runoff) or increases in biological uptake. In contrast to nitrate concentrations, ammonia concentrations varied among study areas. Ammonia concentration trends were similar at UMIS and USNK sampling sites with winter peak concentrations and rapid decreases in ammonia concentrations by spring or early summer. In contrast, ammonia concentrations at OZRK sampling sites were more variable with peak concentrations later in the year. Ammonia may accumulate in stream water in the winter under ice and snow cover at the UMIS and USNK sites because of limited algal metabolism and increased mineralization of decaying organic matter under reducing conditions within stream bottom sediments. Phosphorus concentration patterns and the type of phosphorus present changes with changing hydrologic conditions and seasons and varied among study areas. Orthophosphate concentrations tended to be greater in the summer at UMIS sites, whereas total phosphorus concentrations at most UMIS and USNK sites peaked in the spring during runoff and then decreased through the remainder of the sampling period. Total phosphorus and orthophosphate concentrations in OZRK streams peaked during summer indicating a runoff-based source of both nutrients. Orthophosphate concentrations may increase in streams in the late summer when surface runoff composes less of total streamflow, and when groundwater containing orthophosphate becomes a more dominant source in streams during lower flows. Seston chlorophyll a concentrations were greatest early in the growing season (spring), whereas the spring runoff events coincided with reductions in benthic algal chlorophyll a biomass likely because of scour of benthic algae from the channel bottom that are entrained in the water column during that period. Nitrate, ammonia, and orthophosphate concentrations also decreased during that same period, indicating dilution in the spring during runoff events. The data from this study indicate that the source of water (surface runoff or groundwater) to a stream and the intensity of major runoff events are important factors controlling instream concentrations. Biological processes appear to affect nutrient concentrations during more stable lower flow periods in later summer, fall, and winter when residence time of water in a channel is longer, which allows more time for biological uptake and transformations. Management of nutrient conditions in streams is challenging and requires an understanding of multiple factors that affect in-stream nutrient concentrations and biological uptake and growth.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125086","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Lee, K., Lorenz, D.L., Petersen, J., and Greene, J.B., 2012, Seasonal patterns in nutrients, carbon, and algal responses in wadeable streams within three geographically distinct areas of the United States, 2007-08: U.S. Geological Survey Scientific Investigations Report 2012-5086, ix, 45 p.; Tables: 8 pgs. 48-55, https://doi.org/10.3133/sir20125086.","productDescription":"ix, 45 p.; Tables: 8 pgs. 48-55","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":258116,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5086.gif"},{"id":258097,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5086/sir12-5086.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":258095,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5086/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88cce4b08c986b316b92","contributors":{"authors":[{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, James C. petersen@usgs.gov","contributorId":2437,"corporation":false,"usgs":true,"family":"Petersen","given":"James C.","email":"petersen@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greene, John B. jgreene@usgs.gov","contributorId":4646,"corporation":false,"usgs":true,"family":"Greene","given":"John","email":"jgreene@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":465171,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038878,"text":"70038878 - 2012 - A proxy for high-resolution regional reanalysis for the Southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses","interactions":[],"lastModifiedDate":"2012-06-30T01:01:56","indexId":"70038878","displayToPublicDate":"2012-06-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"A proxy for high-resolution regional reanalysis for the Southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses","docAbstract":"We present an analysis of the seasonal, subseasonal, and diurnal variability of rainfall from COAPS Land- Atmosphere Regional Reanalysis for the Southeast at 10-km resolution (CLARReS10). Most of our assessment focuses on the representation of summertime subseasonal and diurnal variability.Summer precipitation in the Southeast United States is a particularly challenging modeling problem because of the variety of regional-scale phenomena, such as sea breeze, thunderstorms and squall lines, which are not adequately resolved in coarse atmospheric reanalyses but contribute significantly to the hydrological budget over the region. We find that the dynamically downscaled reanalyses are in good agreement with station and gridded observations in terms of both the relative seasonal distribution and the diurnal structure of precipitation, although total precipitation amounts tend to be systematically overestimated. The diurnal cycle of summer precipitation in the downscaled reanalyses is in very good agreement with station observations and a clear improvement both over their \"parent\" reanalyses and over newer-generation reanalyses. The seasonal cycle of precipitation is particularly well simulated in the Florida; this we attribute to the ability of the regional model to provide a more accurate representation of the spatial and temporal structure of finer-scale phenomena such as fronts and sea breezes. Over the northern portion of the domain summer precipitation in the downscaled reanalyses remains, as in the \"parent\" reanalyses, overestimated. Given the degree of success that dynamical downscaling of reanalyses demonstrates in the simulation of the characteristics of regional precipitation, its favorable comparison to conventional newer-generation reanalyses and its cost-effectiveness, we conclude that for the Southeast United states such downscaling is a viable proxy for high-resolution conventional reanalysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climate Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00382-011-1230-y","usgsCitation":"Stefanova, L., Misra, V., Chan, S., Griffin, M., O’Brien, J.J., and Smith, T.J., 2012, A proxy for high-resolution regional reanalysis for the Southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses: Climate Dynamics, v. 38, no. 11-12, p. 2449-2466, https://doi.org/10.1007/s00382-011-1230-y.","productDescription":"18 p.","startPage":"2449","endPage":"2466","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":258091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258084,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00382-011-1230-y","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"38","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2011-11-10","publicationStatus":"PW","scienceBaseUri":"5059e522e4b0c8380cd46b44","contributors":{"authors":[{"text":"Stefanova, Lydia","contributorId":48300,"corporation":false,"usgs":true,"family":"Stefanova","given":"Lydia","email":"","affiliations":[],"preferred":false,"id":465156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Misra, Vasubandhu","contributorId":63520,"corporation":false,"usgs":true,"family":"Misra","given":"Vasubandhu","email":"","affiliations":[],"preferred":false,"id":465158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chan, Steven","contributorId":16971,"corporation":false,"usgs":true,"family":"Chan","given":"Steven","affiliations":[],"preferred":false,"id":465155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Melissa","contributorId":59667,"corporation":false,"usgs":true,"family":"Griffin","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":465157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, James J.","contributorId":100997,"corporation":false,"usgs":true,"family":"O’Brien","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":465154,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038885,"text":"70038885 - 2012 - Fire reinforces structure of pondcypress (<i>Taxodium distichum</i> var. <i>imbricarium</i>) domes in a wetland landscape","interactions":[],"lastModifiedDate":"2016-06-08T14:01:02","indexId":"70038885","displayToPublicDate":"2012-06-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Fire reinforces structure of pondcypress (<i>Taxodium distichum</i> var. <i>imbricarium</i>) domes in a wetland landscape","docAbstract":"<p>Fire periodically affects wetland forests, particularly in landscapes with extensive fire-prone uplands. Rare occurrence and difficulty of access have limited efforts to understand impacts of wildfires fires in wetlands. Following a 2009 wildfire, we measured tree mortality and structural changes in wetland forest patches. Centers of these circular landscape features experienced lower fire severity, although no continuous patch-size or edge effect was evident. Initial survival of the dominant tree, pondcypress (<i class=\"EmphasisTypeItalic \">Taxodium distichum</i> var<i class=\"EmphasisTypeItalic \">. imbricarium</i>), was high (&gt;99%), but within one year of the fire approximately 23% of trees died. Delayed mortality was correlated with fire severity, but unrelated to other hypothesized factors such as patch size or edge distance. Tree diameter and soil elevation were important predictors of mortality, with smaller trees and those in areas with lower elevation more likely to die following severe fire. Depressional cypress forests typically exhibit increasing tree size towards their interiors, and differential mortality patterns were related to edge distance. These patterns result in the exaggeration of a dome-shaped profile. Our observations quantify roles of fire and hydrology in determining cypress mortality in these swamps, and imply the existence of feedbacks that maintain the characteristic shape of cypress domes.</p>","language":"English","publisher":"Society of Wetland Scientists","doi":"10.1007/s13157-012-0277-9","usgsCitation":"Watts, A., Kobziar, L.N., and Snyder, J.R., 2012, Fire reinforces structure of pondcypress (<i>Taxodium distichum</i> var. <i>imbricarium</i>) domes in a wetland landscape: Wetlands, v. 32, no. 3, p. 439-448, https://doi.org/10.1007/s13157-012-0277-9.","productDescription":"10 p.","startPage":"439","endPage":"448","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":258117,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-02-09","publicationStatus":"PW","scienceBaseUri":"505a1045e4b0c8380cd53bd3","contributors":{"authors":[{"text":"Watts, Adam C.","contributorId":103919,"corporation":false,"usgs":true,"family":"Watts","given":"Adam C.","affiliations":[],"preferred":false,"id":465167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kobziar, Leda N.","contributorId":35171,"corporation":false,"usgs":true,"family":"Kobziar","given":"Leda","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":465166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, James R. jim_snyder@usgs.gov","contributorId":2760,"corporation":false,"usgs":true,"family":"Snyder","given":"James","email":"jim_snyder@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":465165,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003756,"text":"70003756 - 2012 - Perils of correlating CUSUM-transformed variables to infer ecological relationships (Breton et al. 2006; Glibert 2010)","interactions":[],"lastModifiedDate":"2012-07-03T17:03:08","indexId":"70003756","displayToPublicDate":"2012-06-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Perils of correlating CUSUM-transformed variables to infer ecological relationships (Breton et al. 2006; Glibert 2010)","docAbstract":"We comment on a nonstandard statistical treatment of time-series data first published by Breton et al. (2006) in Limnology and Oceanography and, more recently, used by Glibert (2010) in Reviews in Fisheries Science. In both papers, the authors make strong inferences about the underlying causes of population variability based on correlations between cumulative sum (CUSUM) transformations of organism abundances and environmental variables. Breton et al. (2006) reported correlations between CUSUM-transformed values of diatom biomass in Belgian coastal waters and the North Atlantic Oscillation, and between meteorological and hydrological variables. Each correlation of CUSUM-transformed variables was judged to be statistically significant. On the basis of these correlations, Breton et al. (2006) developed \"the first evidence of synergy between climate and human-induced river-based nitrate inputs with respect to their effects on the magnitude of spring Phaeocystis colony blooms and their dominance over diatoms.\"","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnology and Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","publisherLocation":"Waco, TX","doi":"10.4319/lo.2012.57.2.0665","usgsCitation":"Cloern, J.E., Jassby, A.D., Carstensen, J., Bennett, W.A., Kimmerer, W., Mac Nally, R., Schoellhamer, D., and Winder, M., 2012, Perils of correlating CUSUM-transformed variables to infer ecological relationships (Breton et al. 2006; Glibert 2010): Limnology and Oceanography, v. 57, no. 2, p. 665-668, https://doi.org/10.4319/lo.2012.57.2.0665.","productDescription":"4 p.","startPage":"665","endPage":"668","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":474436,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2012.57.2.0665","text":"Publisher Index Page"},{"id":258110,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258101,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4319/lo.2012.57.2.0665","linkFileType":{"id":5,"text":"html"}}],"volume":"57","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-10","publicationStatus":"PW","scienceBaseUri":"505a7695e4b0c8380cd781cd","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":348720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":348722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carstensen, Jacob","contributorId":79367,"corporation":false,"usgs":false,"family":"Carstensen","given":"Jacob","email":"","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":348724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, William A.","contributorId":88988,"corporation":false,"usgs":true,"family":"Bennett","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimmerer, Wim","contributorId":26584,"corporation":false,"usgs":true,"family":"Kimmerer","given":"Wim","affiliations":[],"preferred":false,"id":348721,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mac Nally, Ralph","contributorId":107966,"corporation":false,"usgs":true,"family":"Mac Nally","given":"Ralph","email":"","affiliations":[],"preferred":false,"id":348726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":348719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Winder, Monika","contributorId":68178,"corporation":false,"usgs":true,"family":"Winder","given":"Monika","affiliations":[],"preferred":false,"id":348723,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70038820,"text":"ofr20121122 - 2012 - Hydrologic index development and application to selected Coastwide Reference Monitoring System sites and Coastal Wetlands Planning, Protection and Restoration Act projects","interactions":[],"lastModifiedDate":"2012-06-29T01:01:57","indexId":"ofr20121122","displayToPublicDate":"2012-06-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1122","title":"Hydrologic index development and application to selected Coastwide Reference Monitoring System sites and Coastal Wetlands Planning, Protection and Restoration Act projects","docAbstract":"Hourly time-series salinity and water-level data are collected at all stations within the Coastwide Reference Monitoring System (CRMS) network across coastal Louisiana. These data, in addition to vegetation and soils data collected as part of CRMS, are used to develop a suite of metrics and indices to assess wetland condition in coastal Louisiana. This document addresses the primary objectives of the CRMS hydrologic analytical team, which were to (1) adopt standard time-series analytical techniques that could effectively assess spatial and temporal variability in hydrologic characteristics across the Louisiana coastal zone on site, project, basin, and coastwide scales and (2) develop and apply an index based on wetland hydrology that can describe the suitability of local hydrology in the context of maximizing the productivity of wetland plant communities. Approaches to quantifying tidal variability (least squares harmonic analysis) and partitioning variability of time-series data to various time scales (spectral analysis) are presented. The relation between marsh elevation and the tidal frame of a given hydrograph is described. A hydrologic index that integrates water-level and salinity data, which are collected hourly, with vegetation data that are collected annually is developed. To demonstrate its utility, the hydrologic index is applied to 173 CRMS sites across the coast, and variability in index scores across marsh vegetation types (fresh, intermediate, brackish, and saline) is assessed. The index is also applied to 11 sites located in three Coastal Wetlands Planning, Protection and Restoration Act projects, and the ability of the index to convey temporal hydrologic variability in response to climatic stressors and restoration measures, as well as the effect that this community may have on wetland plant productivity, is illustrated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121122","usgsCitation":"Snedden, G., and Swenson, E.M., 2012, Hydrologic index development and application to selected Coastwide Reference Monitoring System sites and Coastal Wetlands Planning, Protection and Restoration Act projects: U.S. Geological Survey Open-File Report 2012-1122, iv, 25 p., https://doi.org/10.3133/ofr20121122.","productDescription":"iv, 25 p.","onlineOnly":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":258057,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1122/","linkFileType":{"id":5,"text":"html"}},{"id":258060,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1122.gif"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound;Grand Island;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.08333333333333,28.833333333333332 ], [ -91.08333333333333,30.25 ], [ -88.83333333333333,30.25 ], [ -88.83333333333333,28.833333333333332 ], [ -91.08333333333333,28.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3637e4b0c8380cd60526","contributors":{"authors":[{"text":"Snedden, Gregg A. 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":17338,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":465011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swenson, Erick M.","contributorId":28116,"corporation":false,"usgs":true,"family":"Swenson","given":"Erick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":465012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038835,"text":"ofr20121026 - 2012 - Hydrologic and landscape database for the Cache and White River National Wildlife Refuges and contributing watersheds in Arkansas, Missouri, and Oklahoma","interactions":[],"lastModifiedDate":"2012-06-27T01:01:43","indexId":"ofr20121026","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1026","title":"Hydrologic and landscape database for the Cache and White River National Wildlife Refuges and contributing watersheds in Arkansas, Missouri, and Oklahoma","docAbstract":"A hydrologic and landscape database was developed by the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, for the Cache River and White River National Wildlife Refuges and their contributing watersheds in Arkansas, Missouri, and Oklahoma. The database is composed of a set of ASCII files, Microsoft Access&reg; files, Microsoft Excel&reg; files, an Environmental Systems Research Institute (ESRI) ArcGIS&reg; geodatabase, ESRI ArcGRID&reg; raster datasets, and an ESRI ArcReader&reg; published map. The database was developed as an assessment and evaluation tool to use in examining refuge-specific hydrologic patterns and trends as related to water availability for refuge ecosystems, habitats, and target species; and includes hydrologic time-series data, statistics, and hydroecological metrics that can be used to assess refuge hydrologic conditions and the availability of aquatic and riparian habitat. Landscape data that describe the refuge physiographic setting and the locations of hydrologic-data collection stations are also included in the database. Categories of landscape data include land cover, soil hydrologic characteristics, physiographic features, geographic and hydrographic boundaries, hydrographic features, regional runoff estimates, and gaging-station locations. The database geographic extent covers three hydrologic subregions&mdash;the Lower Mississippi&ndash;St Francis (0802), the Upper White (1101), and the Lower Arkansas (1111)&mdash;within which human activities, climatic variation, and hydrologic processes can potentially affect the hydrologic regime of the refuges and adjacent areas. Database construction has been automated to facilitate periodic updates with new data. The database report (1) serves as a user guide for the database, (2) describes the data-collection, data-reduction, and data-analysis methods used to construct the database, (3) provides a statistical and graphical description of the database, and (4) provides detailed information on the development of analytical techniques designed to assess water availability for ecological needs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121026","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Buell, G.R., Wehmeyer, L.L., and Calhoun, D.L., 2012, Hydrologic and landscape database for the Cache and White River National Wildlife Refuges and contributing watersheds in Arkansas, Missouri, and Oklahoma: U.S. Geological Survey Open-File Report 2012-1026, viii, 27 p.; Tables 2-13: pgs. 29-73; Appendices: pgs. 75-79, https://doi.org/10.3133/ofr20121026.","productDescription":"viii, 27 p.; Tables 2-13: pgs. 29-73; Appendices: pgs. 75-79","startPage":"i","endPage":"79","numberOfPages":"87","additionalOnlineFiles":"Y","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":257926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1026.jpg"},{"id":257906,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1026/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas;Missouri;Oklahoma","otherGeospatial":"Cace River National Wildlife Refuge;White River National Wildlife Refuge","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3554e4b0c8380cd5fe1d","contributors":{"authors":[{"text":"Buell, Gary R. grbuell@usgs.gov","contributorId":3107,"corporation":false,"usgs":true,"family":"Buell","given":"Gary","email":"grbuell@usgs.gov","middleInitial":"R.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038825,"text":"sim3189 - 2012 - Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia","interactions":[],"lastModifiedDate":"2017-01-11T12:38:52","indexId":"sim3189","displayToPublicDate":"2012-06-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3189","title":"Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia","docAbstract":"Digital flood-inundation maps for a 5.5-mile reach of the Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, were developed by the U.S. Geological Survey (USGS) in cooperation with the City of Atlanta, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Peachtree Creek at Atlanta, Georgia (02336300) and the USGS streamgage at Chattahoochee River at Georgia 280, near Atlanta, Georgia (02336490). Current water level (stage) at these USGS streamgages may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood warning system (http:/water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that commonly are collocated at USGS streamgages. The forecasted peak-stage information for the USGS streamgage at Peachtree Creek, which is available through the AHPS Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers HEC&ndash;RAS software for a 6.5-mile reach of Peachtree Creek and was used to compute flood profiles for a 5.5-mile reach of the creek. The model was calibrated using the most current stage-discharge relations at the Peachtree Creek at Atlanta, Georgia, streamgage (02336300), and the Chattahoochee River at Georgia 280, near Atlanta, Georgia, streamgage (02336490) as well as high water marks collected during the 2010 annual peak flow event. The hydraulic model was then used to determine 50 water-surface profiles. The profiles are for 10 flood stages at the Peachtree Creek streamgage at 1-foot intervals referenced to the streamgage datum and ranging from just above bankfull stage (15.0 feet) to approximately the highest recorded water level at the streamgage (24.0 feet). At each stage on Peachtree Creek, five stages at the Chattahoochee River streamgage, from 26.4 feet to 38.4 feet in 3-foot intervals, were used to determine backwater effects. The simulated water-surface profiles were then combined with a geographic information system digital elevation model&mdash;derived from Light Detection and Ranging (LiDAR) data having a 0.3-foot vertical and 16.4-foot horizontal resolution&mdash;to delineate the area flooded for each 1-foot increment of stream stage. The availability of these maps, when combined with real-time information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with critical information during flood response activities, such as evacuations and road closures as well as for postflood-recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3189","collaboration":"Prepared in cooperation with the City of Atlanta, Georgia","usgsCitation":"Musser, J.W., 2012, Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia: U.S. Geological Survey Scientific Investigations Map 3189, v [vi], 9 p.; PDF and JPG Downloads of Sheets 1-50: 35.00 x 24.00 inches; Downloads Directory, https://doi.org/10.3133/sim3189.","productDescription":"v [vi], 9 p.; PDF and JPG Downloads of Sheets 1-50: 35.00 x 24.00 inches; Downloads Directory","startPage":"i","endPage":"9","numberOfPages":"15","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":257880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3189.png"},{"id":257877,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3189/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Atlanta","otherGeospatial":"Peachtree Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.45,33.800555555555555 ], [ -84.45,33.81777777777778 ], [ -84.36694444444444,33.81777777777778 ], [ -84.36694444444444,33.800555555555555 ], [ -84.45,33.800555555555555 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1165e4b0c8380cd53f9d","contributors":{"authors":[{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465024,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003674,"text":"70003674 - 2012 - Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","interactions":[],"lastModifiedDate":"2020-01-11T12:00:43","indexId":"70003674","displayToPublicDate":"2012-06-23T19:24:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","docAbstract":"In the regulatory context, bioaccumulation assessment is often hampered by substantial data uncertainty as well as by the poorly understood differences often observed between results from laboratory and field bioaccumulation studies. Bioaccumulation is a complex, multifaceted process, which calls for accurate error analysis. Yet, attempts to quantify and compare propagation of error in bioaccumulation metrics across species and chemicals are rare. Here, we quantitatively assessed the combined influence of physicochemical, physiological, ecological, and environmental parameters known to affect bioaccumulation for 4 species and 2 chemicals, to assess whether uncertainty in these factors can explain the observed differences among laboratory and field studies. The organisms evaluated in simulations including mayfly larvae, deposit-feeding polychaetes, yellow perch, and little owl represented a range of ecological conditions and biotransformation capacity. The chemicals, pyrene and the polychlorinated biphenyl congener PCB-153, represented medium and highly hydrophobic chemicals with different susceptibilities to biotransformation. An existing state of the art probabilistic bioaccumulation model was improved by accounting for bioavailability and absorption efficiency limitations, due to the presence of black carbon in sediment, and was used for probabilistic modeling of variability and propagation of error. Results showed that at lower trophic levels (mayfly and polychaete), variability in bioaccumulation was mainly driven by sediment exposure, sediment composition and chemical partitioning to sediment components, which was in turn dominated by the influence of black carbon. At higher trophic levels (yellow perch and the little owl), food web structure (i.e., diet composition and abundance) and chemical concentration in the diet became more important particularly for the most persistent compound, PCB-153. These results suggest that variation in bioaccumulation assessment is reduced most by improved identification of food sources as well as by accounting for the chemical bioavailability in food components. Improvements in the accuracy of aqueous exposure appear to be less relevant when applied to moderate to highly hydrophobic compounds, because this route contributes only marginally to total uptake. The determination of chemical bioavailability and the increase in understanding and qualifying the role of sediment components (black carbon, labile organic matter, and the like) on chemical absorption efficiencies has been identified as a key next steps.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.217","usgsCitation":"Selck, H., Drouillard, K., Eisenreich, K., Koelmans, A.A., Palmqvist, A., Ruus, A., Salvito, D., Schultz, I., Stewart, A.R., Weisbrod, A., van den Brink, N.W., and van den Heuvel-Greve, M., 2012, Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach: Integrated Environmental Assessment and Management, v. 8, no. 1, p. 42-63, https://doi.org/10.1002/ieam.217.","productDescription":"22 p.","startPage":"42","endPage":"63","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":499906,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/explaining-differences-between-bioaccumulation-measurements-in-la","text":"External Repository"},{"id":257848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-01","publicationStatus":"PW","scienceBaseUri":"505a0e03e4b0c8380cd53280","contributors":{"authors":[{"text":"Selck, Henriette","contributorId":28475,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":348278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drouillard, Ken","contributorId":38001,"corporation":false,"usgs":true,"family":"Drouillard","given":"Ken","affiliations":[],"preferred":false,"id":348280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eisenreich, Karen","contributorId":18221,"corporation":false,"usgs":true,"family":"Eisenreich","given":"Karen","affiliations":[],"preferred":false,"id":348277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koelmans, Albert A.","contributorId":51594,"corporation":false,"usgs":true,"family":"Koelmans","given":"Albert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmqvist, Annemette","contributorId":53224,"corporation":false,"usgs":true,"family":"Palmqvist","given":"Annemette","email":"","affiliations":[],"preferred":false,"id":348283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruus, Anders","contributorId":36413,"corporation":false,"usgs":true,"family":"Ruus","given":"Anders","email":"","affiliations":[],"preferred":false,"id":348279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salvito, Daniel","contributorId":14687,"corporation":false,"usgs":true,"family":"Salvito","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":348276,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schultz, Irv","contributorId":81745,"corporation":false,"usgs":true,"family":"Schultz","given":"Irv","email":"","affiliations":[],"preferred":false,"id":348285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":348275,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weisbrod, Annie","contributorId":107976,"corporation":false,"usgs":true,"family":"Weisbrod","given":"Annie","email":"","affiliations":[],"preferred":false,"id":348286,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van den Brink, Nico W.","contributorId":39229,"corporation":false,"usgs":true,"family":"van den Brink","given":"Nico","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348281,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van den Heuvel-Greve, Martine","contributorId":80136,"corporation":false,"usgs":true,"family":"van den Heuvel-Greve","given":"Martine","affiliations":[],"preferred":false,"id":348284,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70038817,"text":"sim3205 - 2012 - Flood-inundation maps for the St. Marys River at Fort Wayne, Indiana","interactions":[],"lastModifiedDate":"2014-02-07T13:40:51","indexId":"sim3205","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3205","title":"Flood-inundation maps for the St. Marys River at Fort Wayne, Indiana","docAbstract":"Digital flood-inundation maps for a 9-mile reach of the St. Marys River that extends from South Anthony Boulevard to Main Street at Fort Wayne, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Fort Wayne. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at the USGS streamgage 04182000 St. Marys River near Fort Wayne, Ind. Current conditions at the USGS streamgages in Indiana may be obtained from the National Water Information System: Web Interface. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system. The NWS forecasts flood hydrographs at many places that are often collocated at USGS streamgages. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, water-surface profiles were simulated for the stream reach by means of a hydraulic one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the USGS streamgage 04182000 St. Marys River near Fort Wayne, Ind. The hydraulic model was then used to simulate 11 water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. A flood inundation map was generated for each water-surface profile stage (11 maps in all) so that for any given flood stage users will be able to view the estimated area of inundation. The availability of these maps along with current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3205","collaboration":"Prepared in Cooperation with the City of Fort Wayne, Indiana","usgsCitation":"Menke, C.D., Kim, M.H., and Fowler, K.K., 2012, Flood-inundation maps for the St. Marys River at Fort Wayne, Indiana: U.S. Geological Survey Scientific Investigations Map 3205, iv, 7 p.; Data Files; Dataset Directory, README, Vector Metadata, Raster Metadata; 11 Sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches; 11 low resolution sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 11: 17.03 inches x 22.00 inches, https://doi.org/10.3133/sim3205.","productDescription":"iv, 7 p.; Data Files; Dataset Directory, README, Vector Metadata, Raster Metadata; 11 Sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches; 11 low resolution sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 11: 17.03 inches x 22.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":257835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3205.jpg"},{"id":257828,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3205/","linkFileType":{"id":5,"text":"html"}},{"id":282118,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3205/contents/SIM3205_pamphlet.pdf"}],"scale":"36000","projection":"Transverse Mercator","datum":"North American Vertical Datum 1988","country":"United States","state":"Indiana","city":"Fort Wayne","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.2,40.96666666666667 ], [ -85.2,41.1 ], [ -85.1,41.1 ], [ -85.1,40.96666666666667 ], [ -85.2,40.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1168e4b0c8380cd53fae","contributors":{"authors":[{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":464991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038818,"text":"ofr20121124 - 2012 - Endocrine disrupting chemicals in Minnesota lakes - Water-quality and hydrological data from 2008 and 2010","interactions":[],"lastModifiedDate":"2012-06-26T01:01:35","indexId":"ofr20121124","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1124","title":"Endocrine disrupting chemicals in Minnesota lakes - Water-quality and hydrological data from 2008 and 2010","docAbstract":"Understanding the sources, fate, and effects of endocrine disrupting chemicals in aquatic ecosystems is important for water-resource management. This study was conducted during 2008 and 2010 to establish a framework for assessing endocrine disrupting chemicals, and involved a statewide survey of their occurrence in 14 Minnesota lakes and a targeted study of different microhabitats on a single lake. The lakes ranged in size from about 0.1 to 100 square kilometers, varied in trophic status from oligotrophic to eutrophic, and spanned a range of land-uses from wetlands and forest to agricultural and urban use. Water and sediment samples were collected from the near-shore littoral environment and analyzed for endocrine disrupting chemicals, including trace elements, acidic organic compounds, neutral organic compounds, and steroidal hormones. In addition, polar organic compound integrative samplers were deployed for 21 days and analyzed for the same organic compounds. One lake was selected for a detailed microhabitat study of multiple near-shore environments. This report compiles the results from the field measurements and laboratory chemical analysis of water, sediment, and polar organic compound integrative sampler samples collected during 2008 and 2010. Most of the organic compounds measured were not detected in any of the water samples, although a few compounds were detected in several of the lakes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121124","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Barber, L.B., Writer, J.H., Keefe, S., Brown, G.K., Ferrey, M.L., Jahns, N.D., Kiesling, R.L., Lundy, J.R., Poganski, B.H., Rosenberry, D.O., Taylor, H.E., Woodruff, O., and Schoenfuss, H.L., 2012, Endocrine disrupting chemicals in Minnesota lakes - Water-quality and hydrological data from 2008 and 2010: U.S. Geological Survey Open-File Report 2012-1124, viii, 13 p.; Figures: pgs. 14-16; Tables: pgs. 17-53, https://doi.org/10.3133/ofr20121124.","productDescription":"viii, 13 p.; Figures: pgs. 14-16; Tables: pgs. 17-53","startPage":"i","endPage":"53","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":257836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1124.jpg"},{"id":257853,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1124/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.2,43.56666666666667 ], [ -97.2,49.38333333333333 ], [ -89.56666666666666,49.38333333333333 ], [ -89.56666666666666,43.56666666666667 ], [ -97.2,43.56666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0926e4b0c8380cd51e1b","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - 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,{"id":70007520,"text":"70007520 - 2012 - Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis","interactions":[],"lastModifiedDate":"2012-06-23T01:01:39","indexId":"70007520","displayToPublicDate":"2012-06-21T20:06:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis","docAbstract":"<p>Introduction</p>\n<p>Evaluating the environmental impacts of climate change on water resources and biological components of the landscape is an integral part of hydrologic and ecological investigations, and the resultant land and resource management in the twenty-first century. Impacts of both climate and simulated hydrologic parameters on ecological processes are relevant at scales that reflect the heterogeneity and complexity of landscapes. At present, simulations of climate change available from global climate models [GCMs] require downscaling for hydrologic or ecological applications.</p>\n<p>Methods</p>\n<p>Using statistically downscaled future climate projections developed using constructed analogues, a methodology was developed to further downscale the projections spatially using a gradient-inverse-distance-squared approach for application to hydrologic modeling at 270-m spatial resolution.</p>\n<p>Results</p>\n<p>This paper illustrates a methodology to downscale and bias-correct national GCMs to subkilometer scales that are applicable to fine-scale environmental processes. Four scenarios were chosen to bracket the range of future emissions put forth by the Intergovernmental Panel on Climate Change. Fine-scale applications of downscaled datasets of ecological and hydrologic correlations to variation in climate are illustrated.</p>\n<p>Conclusions</p>\n<p>The methodology, which includes a sequence of rigorous analyses and calculations, is intended to reduce the addition of uncertainty to the climate data as a result of the downscaling while providing the fine-scale climate information necessary for ecological analyses. It results in new but consistent data sets for the US at 4 km, the southwest US at 270 m, and California at 90 m and illustrates the utility of fine-scale downscaling to analyses of ecological processes influenced by topographic complexity.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1186/2192-1709-1-2","usgsCitation":"Flint, L.E., and Flint, A.L., 2012, Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis: Ecological Processes, v. 1, no. 1, 15 p.; Article 2, https://doi.org/10.1186/2192-1709-1-2.","productDescription":"15 p.; Article 2","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474445,"rank":201,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2192-1709-1-2","text":"Publisher Index Page"},{"id":257796,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257794,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1186/2192-1709-1-2","linkFileType":{"id":5,"text":"html"}}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-10","publicationStatus":"PW","scienceBaseUri":"505a03b3e4b0c8380cd50601","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003375,"text":"70003375 - 2012 - Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession","interactions":[],"lastModifiedDate":"2012-06-21T01:01:41","indexId":"70003375","displayToPublicDate":"2012-06-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession","docAbstract":"Relating watershed structure to streamflow generation is a primary focus of hydrology. However, comparisons of longitudinal variability in stream discharge with adjacent valley structure have been rare, resulting in poor understanding of the distribution of the hydrologic mechanisms that cause variability in streamflow generation along valleys. This study explores detailed surveys of stream base flow across a gauged, 23 km<sup>2</sup> mountain watershed. Research objectives were (1) to relate spatial variability in base flow to fundamental elements of watershed structure, primarily topographic contributing area, and (2) to assess temporal changes in the spatial patterns of those relationships during a seasonal base flow recession. We analyzed spatiotemporal variability in base flow using (1) summer hydrographs at the study watershed outlet and 5 subwatershed outlets and (2) longitudinal series of discharge measurements every ~100 m along the streams of the 3 largest subwatersheds (1200 to 2600 m in valley length), repeated 2 to 3 times during base flow recession. Reaches within valley segments of 300 to 1200 m in length tended to demonstrate similar streamflow generation characteristics. Locations of transitions between these segments were consistent throughout the recession, and tended to be collocated with abrupt longitudinal transitions in valley slope or hillslope-riparian characteristics. Both within and among subwatersheds, correlation between the spatial distributions of streamflow and topographic contributing area decreased during the recession, suggesting a general decrease in the influence of topography on stream base flow contributions. As topographic controls on base flow evidently decreased, multiple aspects of subsurface structure were likely to have gained influence.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011552","usgsCitation":"Payn, R., Gooseff, M., McGlynn, B., Bencala, K., and Wondzell, S., 2012, Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession: Water Resources Research, v. 48, 15 p.; W04519, https://doi.org/10.1029/2011WR011552.","productDescription":"15 p.; W04519","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":474448,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011552","text":"Publisher Index Page"},{"id":257772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257768,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011552","linkFileType":{"id":5,"text":"html"}}],"volume":"48","noUsgsAuthors":false,"publicationDate":"2012-04-18","publicationStatus":"PW","scienceBaseUri":"505a0e22e4b0c8380cd532f2","contributors":{"authors":[{"text":"Payn, R.A.","contributorId":18208,"corporation":false,"usgs":true,"family":"Payn","given":"R.A.","affiliations":[],"preferred":false,"id":347048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooseff, M.N.","contributorId":21668,"corporation":false,"usgs":true,"family":"Gooseff","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":347050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGlynn, B.L.","contributorId":106664,"corporation":false,"usgs":true,"family":"McGlynn","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":347052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bencala, K.E.","contributorId":105312,"corporation":false,"usgs":true,"family":"Bencala","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":347051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wondzell, S.M.","contributorId":18599,"corporation":false,"usgs":true,"family":"Wondzell","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":347049,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004478,"text":"70004478 - 2012 - Edaphic, salinity, and stand structural trends in chronosequences of native and non-native dominated riparian forests along the Colorado River, USA","interactions":[],"lastModifiedDate":"2020-12-29T17:57:50.034357","indexId":"70004478","displayToPublicDate":"2012-06-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Edaphic, salinity, and stand structural trends in chronosequences of native and non-native dominated riparian forests along the Colorado River, USA","docAbstract":"<p><i>Tamarix</i><span>&nbsp;spp. are introduced shrubs that have become among the most abundant woody plants growing along western North American rivers. We sought to empirically test the long-held belief that&nbsp;</span><i>Tamarix</i><span>&nbsp;actively displaces native species through elevating soil salinity via salt exudation. We measured chemical and physical attributes of soils (e.g., salinity, major cations and anions, texture), litter cover and depth, and stand structure along chronosequences dominated by&nbsp;</span><i>Tamarix</i><span>&nbsp;and those dominated by native riparian species (</span><i>Populus</i><span>&nbsp;or&nbsp;</span><i>Salix</i><span>) along the upper and lower Colorado River in Colorado and Arizona/California, USA. We tested four hypotheses: (1) the rate of salt accumulation in soils is faster in&nbsp;</span><i>Tamarix</i><span>-dominated stands than stands dominated by native species, (2) the concentration of salts in the soil is higher in mature stands dominated by&nbsp;</span><i>Tamarix</i><span>&nbsp;compared to native stands, (3) soil salinity is a function of&nbsp;</span><i>Tamarix</i><span>&nbsp;abundance, and (4) available nutrients are more concentrated in native-dominated stands compared to&nbsp;</span><i>Tamarix</i><span>-dominated stands. We found that salt concentration increases at a faster rate in&nbsp;</span><i>Tamarix</i><span>-dominated stands along the relatively free-flowing upper Colorado but not along the heavily-regulated lower Colorado. Concentrations of ions that are known to be preferentially exuded by&nbsp;</span><i>Tamarix</i><span>&nbsp;(e.g., B, Na, and Cl) were higher in&nbsp;</span><i>Tamarix</i><span>&nbsp;stands than in native stands. Soil salt concentrations in older&nbsp;</span><i>Tamarix</i><span>&nbsp;stands along the upper Colorado were sufficiently high to inhibit germination, establishment, or growth of some native species. On the lower Colorado, salinity was very high in all stands and is likely due to factors associated with floodplain development and the hydrologic effects of river regulation, such as reduced overbank flooding, evaporation of shallow ground water, higher salt concentrations in surface and ground water due to agricultural practices, and higher salt concentrations in fine-textured sediments derived from naturally saline parent material.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-012-0263-4","usgsCitation":"Merritt, D.M., and Shafroth, P.B., 2012, Edaphic, salinity, and stand structural trends in chronosequences of native and non-native dominated riparian forests along the Colorado River, USA: Biological Invasions, v. 14, no. 12, p. 2665-2685, https://doi.org/10.1007/s10530-012-0263-4.","productDescription":"21 p.","startPage":"2665","endPage":"2685","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":381730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.995361328125,\n              39.99395569397331\n            ],\n            [\n              -106.89697265625,\n              39.99395569397331\n            ],\n            [\n              -106.89697265625,\n              41.00477542222947\n            ],\n            [\n              -108.995361328125,\n              41.00477542222947\n            ],\n            [\n              -108.995361328125,\n              39.99395569397331\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-06-20","publicationStatus":"PW","scienceBaseUri":"505a05a6e4b0c8380cd50eb7","contributors":{"authors":[{"text":"Merritt, David M.","contributorId":95976,"corporation":false,"usgs":true,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":350491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":350490,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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