{"pageNumber":"132","pageRowStart":"3275","pageSize":"25","recordCount":16501,"records":[{"id":70129357,"text":"70129357 - 2014 - Estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina","interactions":[],"lastModifiedDate":"2017-06-13T17:50:57","indexId":"70129357","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina","docAbstract":"Reliable estimates of the magnitude and frequency of floods are essential for such things as the design of transportation and water-conveyance structures, Flood Insurance Studies, and flood-plain management. The flood-frequency estimates are particularly important in densely populated urban areas. A multistate approach was used to update methods for determining the magnitude and frequency of floods in urban and small, rural streams that are not substantially affected by regulation or tidal fluctuations in Georgia, South Carolina, and North Carolina. The multistate approach has the advantage over a single state approach of increasing the number of stations available for analysis, expanding the geographical coverage that would allow for application of regional regression equations across state boundaries, and building on a previous flood-frequency investigation of rural streamflow-gaging stations (streamgages) in the Southeastern United States. In addition, streamgages from the inner Coastal Plain of New Jersey were included in the analysis.\r\nGeneralized least-squares regression techniques were used to generate predictive  equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probability flows for urban and small, rural ungaged basins for three hydrologic regions; the Piedmont-Ridge and Valley, Sand Hills, and Coastal Plain. Incorporation of urban streamgages from New Jersey also allowed for the expansion of the applicability of the predictive equations in the Coastal Plain from 2.1 to 53.5 square miles. Explanatory variables in the regression equations included drainage area (DA) and percent of impervious area (IA) for the Piedmont-Ridge and Valley region; DA and percent of developed land for the Sand Hills; and DA, IA, and 24-hour, 50-year maximum precipitation for the Coastal Plain. An application spreadsheet also was developed that can be used to compute the flood-frequency estimates along with the 95-percent prediction intervals for an ungaged location. \r\n","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 3rd Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2015","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Department of Interior","usgsCitation":"Feaster, T., Gotvald, A.J., and Weaver, J.C., 2014, Estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 9 p.","productDescription":"9 p.","startPage":"512","endPage":"520","ipdsId":"IP-059335","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":342454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342453,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.85791015625,\n              29.38217507514529\n            ],\n            [\n              -75.05859375,\n              29.38217507514529\n            ],\n            [\n              -75.05859375,\n              37.3002752813443\n            ],\n            [\n              -86.85791015625,\n              37.3002752813443\n            ],\n            [\n              -86.85791015625,\n              29.38217507514529\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b5e4b0764e6c63ead8","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@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":519849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70135997,"text":"70135997 - 2014 - Physically based method for measuring suspended-sediment concentration and grain size using multi-frequency arrays of acoustic-doppler profilers","interactions":[],"lastModifiedDate":"2017-06-14T15:15:39","indexId":"70135997","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Physically based method for measuring suspended-sediment concentration and grain size using multi-frequency arrays of acoustic-doppler profilers","docAbstract":"<p>As the result of a 12-year program of sediment-transport research and field testing on the Colorado River (6 stations in UT and AZ), Yampa River (2 stations in CO), Little Snake River (1 station in CO), Green River (1 station in CO and 2 stations in UT), and Rio Grande (2 stations in TX), we have developed a physically based method for measuring suspended-sediment concentration and grain size at 15-minute intervals using multifrequency arrays of acoustic-Doppler profilers. This multi-frequency method is able to achieve much higher accuracies than single-frequency acoustic methods because it allows removal of the influence of changes in grain size on acoustic backscatter. The method proceeds as follows. (1) Acoustic attenuation at each frequency is related to the concentration of silt and clay with a known grain-size distribution in a river cross section using physical samples and theory. (2) The combination of acoustic backscatter and attenuation at each frequency is uniquely related to the concentration of sand (with a known reference grain-size distribution) and the concentration of silt and clay (with a known reference grain-size distribution) in a river cross section using physical samples and theory. (3) Comparison of the suspended-sand concentrations measured at each frequency using this approach then allows theory-based calculation of the median grain size of the suspended sand and final correction of the suspended-sand concentration to compensate for the influence of changing grain size on backscatter. Although this method of measuring suspended-sediment concentration is somewhat less accurate than using conventional samplers in either the EDI or EWI methods, it is much more accurate than estimating suspended-sediment concentrations using calibrated pump measurements or single-frequency acoustics. Though the EDI and EWI methods provide the most accurate measurements of suspended-sediment concentration, these measurements are labor-intensive, expensive, and may be impossible to collect at time intervals less than discharge-independent changes in suspended-sediment concentration can occur (&lt; hours). Therefore, our physically based multi-frequency acoustic method shows promise as a cost-effective, valid approach for calculating suspended-sediment loads in river at a level of accuracy sufficient for many scientific and management purposes.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2015 Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Topping, D.J., Wright, S., Griffiths, R.E., and Dean, D.J., 2014, Physically based method for measuring suspended-sediment concentration and grain size using multi-frequency arrays of acoustic-doppler profilers, <i>in</i> Proceedings of the 2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling , Reno, NV, April 19-23, 2015, 14 p.","productDescription":"14 p.","ipdsId":"IP-061039","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342443,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/openconf/modules/request.php?module=oc_program&action=summary.php&id=250"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b5e4b0764e6c63ead1","contributors":{"authors":[{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":537048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173468,"text":"70173468 - 2014 - Predictive Management of Asian Carps in the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2016-06-17T13:57:45","indexId":"70173468","displayToPublicDate":"2015-12-16T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5040,"text":"Reviews in Fisheries Science & Aquaculture","onlineIssn":"2330-8257","printIssn":"2330-8249","active":true,"publicationSubtype":{"id":10}},"title":"Predictive Management of Asian Carps in the Upper Mississippi River System","docAbstract":"<p><span>Prolific non-native organisms pose serious threats to ecosystems and economies worldwide. Nonnative bighead carp (</span><i>Hypophthalmichthys nobilis</i><span>) and silver carp (</span><i>H. molitrix</i><span>), collectively referred to as Asian carps, continue to colonize aquatic ecosystems throughout the central United States. These species are r-selected, exhibiting iteroparous spawning, rapid growth, broad environmental tolerance, high density, and long-distance movement. Hydrological, thermal, and physicochemical conditions are favorable for establishment beyond the current range, rendering containment and control imperative. Ecological approaches to confine Asian carp populations and prevent colonization characterize contemporary management in the United States. Foraging and reproduction of Asian carps govern habitat selection and movement, providing valuable insight for predictive control. Current management approaches are progressive and often anticipatory but deficient in human dimensions. We define predictive management of Asian carps as synthesis of ecology and human dimensions at regional and local scales to develop strategies for containment and control. We illustrate predictive management in the Upper Mississippi River System and suggest resource managers integrate predictive models, containment paradigms, and human dimensions to design effective, socially acceptable management strategies. Through continued research, university-agency collaboration, and public engagement, predictive management of Asian carps is an auspicious paradigm for preventing and alleviating consequences of colonization in the United States.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23308249.2014.967747","usgsCitation":"Vondracek, B.C., and Carlson, A.K., 2014, Predictive Management of Asian Carps in the Upper Mississippi River System: Reviews in Fisheries Science & Aquaculture, v. 22, no. 4, p. 284-300, https://doi.org/10.1080/23308249.2014.967747.","productDescription":"16 p.","startPage":"284","endPage":"300","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054341","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70173457,"text":"70173457 - 2014 - A regional neural network model for predicting mean daily river water temperature","interactions":[],"lastModifiedDate":"2016-06-17T14:44:17","indexId":"70173457","displayToPublicDate":"2015-12-15T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A regional neural network model for predicting mean daily river water temperature","docAbstract":"<p><span>Water temperature is a fundamental property of river habitat and often a key aspect of river resource management, but measurements to characterize thermal regimes are not available for most streams and rivers. As such, we developed an artificial neural network (ANN) ensemble model to predict mean daily water temperature in 197,402 individual stream reaches during the warm season (May&ndash;October) throughout the native range of brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in the eastern U.S. We compared four models with different groups of predictors to determine how well water temperature could be predicted by climatic, landform, and land cover attributes, and used the median prediction from an ensemble of 100 ANNs as our final prediction for each model. The final model included air temperature, landform attributes and forested land cover and predicted mean daily water temperatures with moderate accuracy as determined by root mean squared error (RMSE) at 886 training sites with data from 1980 to 2009 (RMSE&nbsp;=&nbsp;1.91&nbsp;&deg;C). Based on validation at 96 sites (RMSE&nbsp;=&nbsp;1.82) and separately for data from 2010 (RMSE&nbsp;=&nbsp;1.93), a year with relatively warmer conditions, the model was able to generalize to new stream reaches and years. The most important predictors were mean daily air temperature, prior 7&nbsp;day mean air temperature, and network catchment area according to sensitivity analyses. Forest land cover at both riparian and catchment extents had relatively weak but clear negative effects. Predicted daily water temperature averaged for the month of July matched expected spatial trends with cooler temperatures in headwaters and at higher elevations and latitudes. Our ANN ensemble is unique in predicting daily temperatures throughout a large region, while other regional efforts have predicted at relatively coarse time steps. The model may prove a useful tool for predicting water temperatures in sampled and unsampled rivers under current conditions and future projections of climate and land use changes, thereby providing information that is valuable to management of river ecosystems and biota such as brook trout.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.05.035","usgsCitation":"Wagner, T., and DeWeber, J.T., 2014, A regional neural network model for predicting mean daily river water temperature: Journal of Hydrology, v. 517, p. 187-200, https://doi.org/10.1016/j.jhydrol.2014.05.035.","productDescription":"13 p.","startPage":"187","endPage":"200","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046229","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  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,{"id":70159864,"text":"70159864 - 2014 - Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes","interactions":[],"lastModifiedDate":"2017-10-26T11:12:27","indexId":"70159864","displayToPublicDate":"2015-12-01T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes","docAbstract":"<p id=\"sp0005\">This study addresses the geologic and hydrogeochemical processes operating at a range of scales within the prairie pothole region (PPR). The PPR is a 750,000&nbsp;km<sup>2</sup>portion of north central North America that hosts millions of small wetlands known to be critical habitat for waterfowl and other wildlife. At a local scale, we characterized the geochemical evolution of the 92-ha Cottonwood Lake study area (CWLSA), located in North Dakota, USA. Critical zone processes are the long-term determinant of wetland water and groundwater geochemistry via the interaction of oxygenated groundwater with pyrite in the underlying glacial till. Pyrite oxidation produced a brown, iron oxide-bearing surface layer locally over 13&nbsp;m thick and an estimated minimum of 1.3&nbsp;&times;&nbsp;10<sup>10</sup>&nbsp;g sulfate (SO<sub>4</sub><sup>2&nbsp;&minus;</sup>) at CWLSA. We show that the majority of this SO<sub>4</sub><sup>2&minus;</sup>&nbsp;now resides in solid-phase gypsum (CaSO<sub>4</sub>&bull;2H<sub>2</sub>O) and gypsum-saturated groundwater.</p>\n<p id=\"sp0010\">Results from the CWLSA were scaled up to a 9700&nbsp;km<sup>2</sup>&nbsp;area surrounding CWLSA using ~&nbsp;1800 drill logs and literature data on wetland water chemistry for 178 wetlands within this larger area. The oxidized brown zone depth and wetland water compositional trends are very similar to the CWLSA. Additionally, surface water data from 176 southern Canadian pothole wetlands that conform to the same wetland water geochemical trends as those recorded in the CWLSA further corroborate that SO<sub>4</sub><sup>2&nbsp;&minus;</sup>&nbsp;accumulation driven by pyrite oxidation is a nearly ubiquitous process in the prairie pothole region and distinguishes PPR wetlands from other wetlands worldwide that have a similar overall hydrology.</p>","language":"English","publisher":"ScienceDirect","doi":"10.1016/j.chemgeo.2014.08.023","usgsCitation":"Goldhaber, M.B., Mills, C., Morrison, J.M., Stricker, C.A., Mushet, D.M., and LaBaugh, J.W., 2014, Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes: Chemical Geology, v. 387, p. 170-183, https://doi.org/10.1016/j.chemgeo.2014.08.023.","productDescription":"14 p.","startPage":"170","endPage":"183","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036658","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Manitoba, North Dakota, Saskatchewan","otherGeospatial":"Cottonwood Lake Study Area, Erickson-Elphinstone District, Moose Mountain Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.370361328125,\n              46.44542749723387\n            ],\n            [\n              -103.370361328125,\n              50.078294547389426\n            ],\n            [\n              -98.887939453125,\n              50.078294547389426\n            ],\n        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mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science 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,{"id":70159504,"text":"70159504 - 2014 - A new method of snowmelt sampling for water stable isotopes","interactions":[],"lastModifiedDate":"2015-11-10T10:48:03","indexId":"70159504","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2014","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":"A new method of snowmelt sampling for water stable isotopes","docAbstract":"<p><span>We modified a passive capillary sampler (PCS) to collect snowmelt water for isotopic analysis. Past applications of PCSs have been to sample soil water, but the novel aspect of this study was the placement of the PCSs at the ground-snowpack interface to collect snowmelt. We deployed arrays of PCSs at 11 sites in ten partner countries on five continents representing a range of climate and snow cover worldwide. The PCS reliably collected snowmelt at all sites and caused negligible evaporative fractionation effects in the samples. PCS is low-cost, easy to install, and collects a representative integrated snowmelt sample throughout the melt season or at the melt event scale. Unlike snow cores, the PCS collects the water that would actually infiltrate the soil; thus, its isotopic composition is appropriate to use for tracing snowmelt water through the hydrologic cycle. The purpose of this Briefing is to show the potential advantages of PCSs and recommend guidelines for constructing and installing them based on our preliminary results from two snowmelt seasons.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10273","usgsCitation":"Penna, D., Ahmad, M., Birks, S.J., Bouchaou, L., Brencic, M., Butt, S., Holko, L., Jeelani, G., Martinez, D.E., Melikadze, G., Shanley, J.B., Sokratov, S.A., Stadnyk, T., Sugimoto, A., and Vreca, P., 2014, A new method of snowmelt sampling for water stable isotopes: Hydrological Processes, v. 28, no. 22, p. 5637-5644, https://doi.org/10.1002/hyp.10273.","productDescription":"8 p.","startPage":"5637","endPage":"5644","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057208","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502447,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/34420","text":"External Repository"},{"id":311152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Canada, Georgia, Italy, Morocco, Pakistan, Russia, Slovakia, Slovenia, United States","volume":"28","issue":"22","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-15","publicationStatus":"PW","scienceBaseUri":"56432339e4b0aafbcd017fc2","contributors":{"authors":[{"text":"Penna, D.","contributorId":149728,"corporation":false,"usgs":false,"family":"Penna","given":"D.","email":"","affiliations":[{"id":17793,"text":"University of Padova, Italy","active":true,"usgs":false}],"preferred":false,"id":579272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahmad, M.","contributorId":149729,"corporation":false,"usgs":false,"family":"Ahmad","given":"M.","email":"","affiliations":[{"id":17794,"text":"International Atomic Energy Agency","active":true,"usgs":false}],"preferred":false,"id":579273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birks, S. J.","contributorId":149730,"corporation":false,"usgs":false,"family":"Birks","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":17795,"text":"Alberta Innovates, Canada","active":true,"usgs":false}],"preferred":false,"id":579274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouchaou, L.","contributorId":149731,"corporation":false,"usgs":false,"family":"Bouchaou","given":"L.","email":"","affiliations":[{"id":17796,"text":"University Ibn Zohrof Agadir, Morocco","active":true,"usgs":false}],"preferred":false,"id":579275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brencic, M.","contributorId":149732,"corporation":false,"usgs":false,"family":"Brencic","given":"M.","email":"","affiliations":[{"id":17797,"text":"Unversity of Ljubliana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":579276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butt, S.","contributorId":149733,"corporation":false,"usgs":false,"family":"Butt","given":"S.","email":"","affiliations":[{"id":17798,"text":"Pakisatan Institute of Nuclear Science and Technology","active":true,"usgs":false}],"preferred":false,"id":579277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holko, L.","contributorId":149734,"corporation":false,"usgs":false,"family":"Holko","given":"L.","email":"","affiliations":[{"id":17799,"text":"Slovak Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":579278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jeelani, G.","contributorId":149735,"corporation":false,"usgs":false,"family":"Jeelani","given":"G.","affiliations":[{"id":17800,"text":"University of Kashmir, Srinagar, India","active":true,"usgs":false}],"preferred":false,"id":579279,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinez, D. E.","contributorId":149736,"corporation":false,"usgs":false,"family":"Martinez","given":"D.","email":"","middleInitial":"E.","affiliations":[{"id":17801,"text":"National University of Plata del Mar, Argentina","active":true,"usgs":false}],"preferred":false,"id":579280,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Melikadze, G.","contributorId":149737,"corporation":false,"usgs":false,"family":"Melikadze","given":"G.","email":"","affiliations":[{"id":17802,"text":"Tbilisi State University, Tbilisi, Georgia","active":true,"usgs":false}],"preferred":false,"id":579281,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shanley, J. B.","contributorId":52226,"corporation":false,"usgs":true,"family":"Shanley","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":579271,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sokratov, S. A.","contributorId":149738,"corporation":false,"usgs":false,"family":"Sokratov","given":"S.","email":"","middleInitial":"A.","affiliations":[{"id":17803,"text":"Moscow State University, Russia","active":true,"usgs":false}],"preferred":false,"id":579282,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stadnyk, T.","contributorId":149739,"corporation":false,"usgs":false,"family":"Stadnyk","given":"T.","email":"","affiliations":[{"id":17804,"text":"University of Manitoba, Canada","active":true,"usgs":false}],"preferred":false,"id":579283,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sugimoto, A.","contributorId":149740,"corporation":false,"usgs":false,"family":"Sugimoto","given":"A.","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":579284,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vreca, P.","contributorId":149741,"corporation":false,"usgs":false,"family":"Vreca","given":"P.","email":"","affiliations":[{"id":17806,"text":"Jožef Stefan Institute, Ljubljana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":579285,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70173438,"text":"70173438 - 2014 - The importance of context dependency for understanding the effects of low flow events on fish","interactions":[],"lastModifiedDate":"2016-06-20T14:58:26","indexId":"70173438","displayToPublicDate":"2015-10-22T18:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"The importance of context dependency for understanding the effects of low flow events on fish","docAbstract":"<p>The natural hydrology of streams and rivers has been extensively altered by dam construction, water diversion, and climate change. An increased frequency of low-flow events will affect fish by changing habitat availability, resource availability, and reproductive cues. I reviewed the literature to characterize the approaches taken to assess low-flow events and fish, the main effects of low-flow events on fish, and the associated mechanistic drivers. Most studies are focused on temperate streams and are comparative in nature. Decreased stream flow is associated with decreased survival, growth, and abundance of fish populations and shifts in community composition, but effects are variable. This variability in effects is probably caused by context dependence. I propose 3 main sources of context dependence that drive the variation in fish responses to low-flow events: attributes of the low-flow event, attributes of the habitat, and attributes of the fish. Awareness of these sources of context dependence can help managers interpret and explain data, predict vulnerability of fish communities, and prioritize appropriate management actions.</p>","language":"English","publisher":"University of Chicago","doi":"10.1086/683831","usgsCitation":"Walters, A.W., 2014, The importance of context dependency for understanding the effects of low flow events on fish: Freshwater Science, v. 35, no. 1, p. 216-228, https://doi.org/10.1086/683831.","productDescription":"12 p.","startPage":"216","endPage":"228","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055923","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913ece4b07657d19ff2a0","contributors":{"authors":[{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040681,"text":"70040681 - 2014 - Metal stable isotopes in weathering and hydrology","interactions":[],"lastModifiedDate":"2020-05-14T18:18:53.419076","indexId":"70040681","displayToPublicDate":"2015-07-07T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Metal stable isotopes in weathering and hydrology","docAbstract":"<p>This chapter highlights some of the major developments in the understanding of the causes of metal stable isotope compositional variability in and isotope fractionation between natural materials and provides numerous examples of how that understanding is providing new insights into weathering and hydrology. At this stage, our knowledge of causes of stable isotope compositional variability among natural materials is greatest for the metals lithium, magnesium, calcium, and iron, the isotopes of which have already provided important information on weathering and hydrological processes. Stable isotope compositional variability for other metals such as strontium, copper, zinc, chromium, barium, molybdenum, mercury, cadmium, and nickel has been demonstrated but is only beginning to be applied to questions related to weathering and hydrology, and several research groups are currently exploring the potential. And then there are other metals such as titanium, vanadium, rhenium, and tungsten that have yet to be explored for variability of stable isotope composition in natural materials, but which may hold untold surprises in their utility. This impressive list of metals having either demonstrated or potential stable isotope signals that could be used to address important unsolved questions related to weathering and hydrology, constitutes a powerful toolbox that will be increasingly utilized in the coming decades.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elselvier","doi":"10.1016/B978-0-08-095975-7.00511-8","usgsCitation":"Bullen, T.D., 2014, Metal stable isotopes in weathering and hydrology, chap. 10 <i>of</i> Treatise on Geochemistry, v. 7, p. 329-359, https://doi.org/10.1016/B978-0-08-095975-7.00511-8.","productDescription":"31 p.","startPage":"329","endPage":"359","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042118","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":311146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","edition":"Second","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5643234ee4b0aafbcd01801f","contributors":{"editors":[{"text":"Holland, Heinrich","contributorId":149786,"corporation":false,"usgs":false,"family":"Holland","given":"Heinrich","email":"","affiliations":[],"preferred":false,"id":579567,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Turekian, K.","contributorId":111688,"corporation":false,"usgs":true,"family":"Turekian","given":"K.","email":"","affiliations":[],"preferred":false,"id":579568,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":579566,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148494,"text":"70148494 - 2014 - Evaluating effects of Everglades restoration on American crocodile populations in south Florida using a spatially-explicit, stage-based population model","interactions":[],"lastModifiedDate":"2018-12-06T13:20:34","indexId":"70148494","displayToPublicDate":"2015-06-10T11:30:00","publicationYear":"2014","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":"Evaluating effects of Everglades restoration on American crocodile populations in south Florida using a spatially-explicit, stage-based population model","docAbstract":"<p><span>The distribution and abundance of the American crocodile (</span><i class=\"EmphasisTypeItalic\">Crocodylus acutus</i><span>) in the Florida Everglades is dependent on the timing, amount, and location of freshwater flow. One of the goals of the Comprehensive Everglades Restoration Plan (CERP) is to restore historic freshwater flows to American crocodile habitat throughout the Everglades. To predict the impacts on the crocodile population from planned restoration activities, we created a stage-based spatially explicit crocodile population model that incorporated regional hydrology models and American crocodile research and monitoring data. Growth and survival were influenced by salinity, water depth, and density-dependent interactions. A stage-structured spatial model was used with discrete spatial convolution to direct crocodiles toward attractive sources where conditions were favorable. The model predicted that CERP would have both positive and negative impacts on American crocodile growth, survival, and distribution. Overall, crocodile populations across south Florida were predicted to decrease approximately 3&nbsp;% with the implementation of CERP compared to future conditions without restoration, but local increases up to 30&nbsp;% occurred in the Joe Bay area near Taylor Slough, and local decreases up to 30&nbsp;% occurred in the vicinity of Buttonwood Canal due to changes in salinity and freshwater flows.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0370-0","usgsCitation":"Green, T.W., Slone, D.H., Swain, E.D., Cherkiss, M.S., Lohmann, M., Mazzotti, F., and Rice, K.G., 2014, Evaluating effects of Everglades restoration on American crocodile populations in south Florida using a spatially-explicit, stage-based population model: Wetlands, v. 34, no. 1, p. S213-S224, https://doi.org/10.1007/s13157-012-0370-0.","productDescription":"12 p.","startPage":"S213","endPage":"S224","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027207","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":301117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Cape Sable-Buttonwood Canal, Joe Bay, Taylor Slough","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.94314575195312,\n              25.069429002821355\n            ],\n            [\n              -81.024169921875,\n              25.224820176765036\n            ],\n            [\n              -80.4583740234375,\n              25.342784905654565\n            ],\n            [\n              -80.41580200195312,\n              25.197485682706866\n            ],\n            [\n              -80.94314575195312,\n              25.069429002821355\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":7,"text":"Ft. Lauderdale PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-14","publicationStatus":"PW","scienceBaseUri":"557951b1e4b032353cc173f3","contributors":{"authors":[{"text":"Green, Timothy W.","contributorId":58672,"corporation":false,"usgs":true,"family":"Green","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":548420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":205617,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel","email":"dslone@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":753279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":548423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lohmann, Melinda 0000-0003-1472-159X mlohmann@usgs.gov","orcid":"https://orcid.org/0000-0003-1472-159X","contributorId":2971,"corporation":false,"usgs":true,"family":"Lohmann","given":"Melinda","email":"mlohmann@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":548424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":548425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":548426,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70138206,"text":"70138206 - 2014 - Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada","interactions":[],"lastModifiedDate":"2015-02-02T14:42:41","indexId":"70138206","displayToPublicDate":"2015-01-15T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada","docAbstract":"<p>Strong fluid underpressures have been detected in Paleozoic strata in the eastern Michigan Basin, with hydraulic heads reaching ~400&thinsp;m below land surface (~4&thinsp;MPa underpressure) and ~200&thinsp;m below sea level in strata where unusually low permeabilities (~10<sup>&minus;20</sup>&ndash;10<sup>&minus;23</sup>&thinsp;m<sup>2</sup>) were measured in situ. Multiple glaciations, including three with as much as 3&thinsp;km of ice cover at the site in the last 120&thinsp;ka, suggest a causal link with the underpressures. We examined this possibility using a one-dimensional groundwater flow model incorporating mechanical loading from both ice weight and lithospheric flexure. Because hydrologic and mechanical changes during glaciation are not well characterized and subsurface properties are imperfectly known, the model was used inversely to estimate flexural loads and loosely constrained permeabilities by matching observed pressures. Acceptable matches were obtained for a surprisingly wide range of scenarios with permeabilities close to measured values and plausible flexural loads. Matches were not obtained when too many parameters were preselected, or when permeabilities were constrained to be significantly larger than measured values. In successful model runs groundwater expulsion under glacial-mechanical loads caused the underpressuring, and flexural loads were important if aquifer and sub-glacial pressures were significantly elevated during glaciation. Simulated fluid pressures in the low-permeability strata fluctuated by 30&ndash;40&thinsp;MPa during glacial cycles but resulted in advective transport of only tens of meters or less. Although other mechanisms cannot be ruled out, we conclude that glacial-mechanical forcing of a water-saturated system can explain the observed underpressures.</p>","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1002/2014JB011643","usgsCitation":"Neuzil, C.E., and Provost, A.M., 2014, Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada: Journal of Geophysical Research B: Solid Earth, v. 119, no. 12, p. 8748-8769, https://doi.org/10.1002/2014JB011643.","productDescription":"22 p.","startPage":"8748","endPage":"8769","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060238","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011643","text":"Publisher Index Page"},{"id":297302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Eastern Michigan Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.296875,\n              40.54720023441049\n            ],\n            [\n              -89.296875,\n              47.7097615426664\n            ],\n            [\n              -76.9921875,\n              47.7097615426664\n            ],\n            [\n              -76.9921875,\n              40.54720023441049\n            ],\n            [\n              -89.296875,\n              40.54720023441049\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-14","publicationStatus":"PW","scienceBaseUri":"54dd2a87e4b08de9379b30d3","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":538611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":538612,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70134080,"text":"sir20145219 - 2014 - Flood-inundation maps for the White River near Edwardsport, Indiana","interactions":[],"lastModifiedDate":"2015-01-14T13:40:48","indexId":"sir20145219","displayToPublicDate":"2015-01-14T13:30:00","publicationYear":"2014","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":"2014-5219","title":"Flood-inundation maps for the White River near Edwardsport, Indiana","docAbstract":"<p>Digital flood-inundation maps for a 3.3-mile reach of the White River near Edwardsport, (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. 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 USGS streamgage 03360730, White River near Edwardsport, Ind. Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at<span>&nbsp;</span>http://waterdata.usgs.gov/ or the National Weather Service Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (site EDWI3.)</p>\n<p>Flood profiles were computed for the White River near Edwardsport reach by means of a one-dimensional step-back-water model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03360730, White River near Edwardsport, Ind., and high-water marks from the flood of April 2013. The calibrated hydraulic model was then used to determine 19 water-surface profiles for flood stages at approximately 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each water level.</p>\n<p>The availability of these maps, along with Internet information regarding current stage from the USGS streamgage 03360730 White River near Edwardsport, Ind., and forecasted stream stages from the National Weather Service, provides 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.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145219","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., 2014, Flood-inundation maps for the White River near Edwardsport, Indiana: U.S. Geological Survey Scientific Investigations Report 2014-5219, Report: iv, 11 p.; Downloads Directory, https://doi.org/10.3133/sir20145219.","productDescription":"Report: iv, 11 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-025600","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":297244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145219.jpg"},{"id":297242,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5219/pdf/sir2014-5219.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297241,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5219/"},{"id":297243,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5219/downloads/gis_data","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Edwardsport","otherGeospatial":"White River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.26800918579102,\n              38.770948699444624\n            ],\n            [\n              -87.26800918579102,\n              38.833824233697726\n            ],\n            [\n              -87.20312118530273,\n              38.833824233697726\n            ],\n            [\n              -87.20312118530273,\n              38.770948699444624\n            ],\n            [\n              -87.26800918579102,\n              38.770948699444624\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a78e4b08de9379b308b","contributors":{"authors":[{"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":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","interactions":[{"subject":{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","indexId":"ofr20131024G","publicationYear":"2014","noYear":false,"chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1}],"isPartOf":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"lastModifiedDate":"2018-12-14T12:12:21","indexId":"ofr20131024G","displayToPublicDate":"2015-01-12T16:30:00","publicationYear":"2014","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":"2013-1024","chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","docAbstract":"<p><span>From December 2010 to January 2011, the U.S. Geological Survey conducted airborne electromagnetic and magnetic surveys of Leach Lake Basin within the National Training Center, Fort Irwin, California. These data were collected to characterize the subsurface and provide information needed to understand and manage groundwater resources within Fort Irwin. A resistivity stratigraphy was developed using ground-based time-domain electromagnetic soundings together with laboratory resistivity measurements on hand samples and borehole geophysical logs from nearby basins. This report releases data associated with the airborne surveys, as well as resistivity cross-sections and depth slices derived from inversion of the airborne electromagnetic data. The resulting resistivity models confirm and add to the geologic framework, constrain the hydrostratigraphy and the depth to basement, and reveal the distribution of faults and folds within the basin.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024G","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Bedrosian, P.A., Ball, L.B., and Bloss, B.R., 2014, Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California, chap. G <i>of</i> Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open File Report 2013–1024, 20 p., \nhttps://doi.org/10.3133/ofr20131024G.","productDescription":"Report: vi, 20 p.; 2 Appendixes","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059815","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":297138,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/OFR2013-1024-G.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297139,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2013-1024-g_appendix_a.pdf","text":"Appendix A","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/g/images/coverthb.jpg"},{"id":297140,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2014-2014-g_appendix_b.zip","text":"Appendix B","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"}}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","contact":"<p><a href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\">Contact Information</a>,<br><a href=\"https://geomaps.wr.usgs.gov/gmeg/index.htm\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/index.htm\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a>—Menlo Park<br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2014-01-06","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"54dd2a51e4b08de9379b2fde","contributors":{"editors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737454,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":538079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":538080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloss, Benjamin R. bbloss@usgs.gov","contributorId":4821,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin","email":"bbloss@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":538081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70137396,"text":"70137396 - 2014 - Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i","interactions":[],"lastModifiedDate":"2020-12-10T13:26:16.602331","indexId":"70137396","displayToPublicDate":"2015-01-08T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i","docAbstract":"<p><span>Kaloko-Honokōhau National Historical Park (KAHO) is a coastal sanctuary on the western side of the Island of Hawai&lsquo;i that was established in 1978 to preserve, interpret, and perpetuate traditional Native Hawaiian culture and activities. KAHO contains a variety of culturally and ecologically significant water resources and water-related habitat for species that have been declared as threatened or endangered by the U.S. Fish and Wildlife Service, or are candidate threatened or endangered species. These habitats are dependent on coastal unconfined groundwater in a freshwater-lens system. The coastal unconfined-groundwater system is recharged by local infiltration of rainfall but also may receive recharge from an inland groundwater system containing groundwater impounded to high altitudes. The area inland of and near KAHO is being rapidly urbanized and increased groundwater withdrawals from the inland impounded-groundwater system may affect habitat and water quality in KAHO, depending on the extent of connection between the coastal unconfined groundwater and inland impounded-groundwater. An investigation of the geochemistry of surface-water and groundwater samples in and near KAHO was performed to evaluate the presence or absence of a connection between the inland impounded- and coastal unconfined-groundwater systems in the area. Analyses of major ions, selected trace elements, rare-earth elements, and strontium-isotope ratio results from ocean, fishpond, anchialine pool, and groundwater samples were consistent with a linear mixing process between the inland impounded and coastal unconfined-groundwater systems. Stable isotopes of water in many samples from the coastal unconfined-groundwater system require an aggregate recharge altitude that is substantially higher than the boundary between the coastal unconfined and inland impounded systems, a further indication of a hydrologic connection between the two systems. The stable isotope composition of the freshwater component of water samples from KAHO indicates that about 25&ndash;70% of the freshwater is derived from the inland impounded system.</span></p>","language":"English","publisher":"Elseiver","doi":"10.1016/j.apgeochem.2014.10.003","usgsCitation":"Tillman, F., Oki, D.S., Johnson, A.G., Barber, L.B., and Beisner, K.R., 2014, Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i: Applied Geochemistry, v. 51, p. 278-292, https://doi.org/10.1016/j.apgeochem.2014.10.003.","productDescription":"15 p.","startPage":"278","endPage":"292","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057293","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":472521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2014.10.003","text":"Publisher Index Page"},{"id":297086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokōhau National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.08001708984375,\n              19.42126831604998\n            ],\n            [\n              -156.08001708984375,\n              19.73697619787738\n            ],\n            [\n              -155.84999084472656,\n              19.73697619787738\n            ],\n            [\n              -155.84999084472656,\n              19.42126831604998\n            ],\n            [\n              -156.08001708984375,\n              19.42126831604998\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a8ce4b08de9379b30ea","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":537805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70137397,"text":"70137397 - 2014 - A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2020-12-10T13:26:46.541317","indexId":"70137397","displayToPublicDate":"2015-01-08T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin","docAbstract":"<p><span>The Colorado River is one of the most important sources of water in the western United States, supplying water to over 35 million people in the U.S. and 3 million people in Mexico. High dissolved-solids loading to the River and tributaries are derived primarily from geologic material deposited in inland seas in the mid-to-late Cretaceous Period, but this loading may be increased by human activities. High dissolved solids in the River causes substantial damages to users, primarily in reduced agricultural crop yields and corrosion. The Colorado River Basin Salinity Control Program was created to manage dissolved-solids loading to the River and has focused primarily on reducing irrigation-related loading from agricultural areas. This work presents a reconnaissance of existing data from sites in the Upper Colorado River Basin (UCRB) in order to highlight areas where suspended-sediment control measures may be useful in reducing dissolved-solids concentrations. Multiple linear regression was used on data from 164 sites in the UCRB to develop dissolved-solids models that include combinations of explanatory variables of suspended sediment, flow, and time. Results from the partial&nbsp;</span><i>t</i><span>-test, overall likelihood ratio, and partial likelihood ratio on the models were used to group the sites into categories of strong, moderate, weak, and no-evidence of a relation between suspended-sediment and dissolved-solids concentrations. Results show 68 sites have strong or moderate evidence of a relation, with drainage areas for many of these sites composed of a large percentage of clastic sedimentary rocks. These results could assist water managers in the region in directing field-scale evaluation of suspended-sediment control measures to reduce UCRB dissolved-solids loading.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.08.020","usgsCitation":"Tillman, F., and Anning, D.W., 2014, A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin: Journal of Hydrology, v. 519, no. Part A, p. 1020-1030, https://doi.org/10.1016/j.jhydrol.2014.08.020.","productDescription":"11 p.","startPage":"1020","endPage":"1030","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051914","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":297066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.9951171875,\n              43.723474896114794\n            ],\n            [\n              -109.92919921875,\n              43.51668853502909\n            ],\n        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dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70133600,"text":"fs20143117 - 2014 - Data and spatial studies of the USGS Texas Water Science Center","interactions":[],"lastModifiedDate":"2016-08-05T12:04:40","indexId":"fs20143117","displayToPublicDate":"2015-01-03T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3117","title":"Data and spatial studies of the USGS Texas Water Science Center","docAbstract":"<p><span>Hydrologists, geographers, geophysicists, and geologists with the U.S. Geological Survey (USGS) Texas Water Science Center (TXWSC) work in the USGS Water Mission Area on a diverse range of projects built on a foundation of spatial data. The TXWSC has developed sophisticated data and spatial-studies-related capabilities that are an integral part of the projects undertaken by the Center.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143117","usgsCitation":"Burley, T.E., 2014, Data and spatial studies of the USGS Texas Water Science Center: U.S. Geological Survey Fact Sheet 2014-3117, 4 p., https://doi.org/10.3133/fs20143117.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060637","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":296978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143117.jpg"},{"id":296977,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3117/pdf/fs2014-3117.pdf","size":"1.12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296974,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3117/"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.74316406249999,\n              25.859223554761407\n            ],\n            [\n              -106.74316406249999,\n              36.527294814546245\n            ],\n            [\n              -93.40576171875,\n              36.527294814546245\n            ],\n            [\n              -93.40576171875,\n              25.859223554761407\n            ],\n            [\n              -106.74316406249999,\n              25.859223554761407\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a62e4b08de9379b3030","contributors":{"authors":[{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537543,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70155852,"text":"70155852 - 2014 - Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","interactions":[],"lastModifiedDate":"2015-08-13T09:31:04","indexId":"70155852","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","docAbstract":"<p>Nitrogen (N) is a ubiquitous contaminant throughout agricultural landscapes due to both the application of inorganic and organic fertilizers to agricultural fields and the general persistence of nitrate (NO<sub>3</sub> ) in oxygenated aqueous environments (Denver et al. 2010; Domagalski et al. 2008; Green et al. 2008; Coupe 2001; Nolan and Stoner 2000). In order to understand why excess N occurs various hydrologic systems (environments), it is important to consider potential sources, the locations of these sources in the watershed, and the timing of the application of sources with respect to the movement of water. To learn how to manage N in a watershed, it is necessary to identify and quantify flow paths and biogeochemical conditions, which ultimately combine to determine transport and fate. If sources, transport mechanisms, and biogeochemical controls were uniformly distributed, it would be possible to manage N uniformly throughout a watershed. However, uniform conditions are rare to nonexistent in the natural world and in the landscape altered for agricultural production. In order to adjust management activities on the landscape to have the greatest effect, it is important to understand the fate and transport N within the intersection of hydrology and biogeochemistry, that is, to understand the extent and duration of the hydrologic and biogeochemical controls as N is routed through and among each hydrologic compartment.</p>","language":"English","publisher":"Soil and Water Conservation Society","publisherLocation":"Ankeny, IA","doi":"10.2489/jswc.69.1.11A","usgsCitation":"Barlow, J.R., and Kröger, R., 2014, Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta: Journal of Soil and Water Conservation, v. 69, no. 1, p. 11A-16A, https://doi.org/10.2489/jswc.69.1.11A.","productDescription":"6 p.","startPage":"11A","endPage":"16A","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052573","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":306625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi Delta","volume":"69","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"55cdbfbae4b08400b1fe1423","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kröger, Robert","contributorId":146206,"corporation":false,"usgs":false,"family":"Kröger","given":"Robert","affiliations":[{"id":16626,"text":"Assistant Professor, Aquatic Sciences, College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":566606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154892,"text":"70154892 - 2014 - GIS-based rapid-assessment of bighead carp Hypophthalmichthys nobilis (Richardson, 1845) suitability in reservoirs","interactions":[],"lastModifiedDate":"2015-07-15T13:37:10","indexId":"70154892","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"GIS-based rapid-assessment of bighead carp Hypophthalmichthys nobilis (Richardson, 1845) suitability in reservoirs","docAbstract":"<p>Broad-scale niche models are good for examining the potential for invasive species occurrences, but can fall short in providing managers with site-specific locations for monitoring. Using Oklahoma as an example, where invasive bighead carp (Hypophthalmichthys nobilis) are established in certain reservoirs, but predicted to be widely distributed based on broad-scale niche models, we cast bighead carp reproductive ecology in a site-specific geospatial framework to determine their potential establishment in additional reservoirs. Because bighead carp require large, long free-flowing rivers with suitable hydrology for reproduction but can persist in reservoirs, we considered reservoir tributaries with mean annual daily discharge &ge;8.5 cubic meters per second (m3 /s) and quantified the length of their unimpeded portions. In contrast to published broad-scale niche models that identified nearly the entire state as susceptible to invasion, our site-specific models showed that few reservoirs in Oklahoma (N = 9) were suitable for bighead carp establishment. Moreover, this method was rapid and identified sites that could be prioritized for increased study or scrutiny. Our results highlight the importance of considering the environmental characteristics of individual sites, which is often the level at which management efforts are implemented when assessing susceptibility to invasion.</p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Helsinki","doi":"10.3391/mbi.2014.5.4.07","usgsCitation":"Long, J.M., Liang, Y., Shoup, D.E., Dzialowski, A.R., and Bidwell, J.R., 2014, GIS-based rapid-assessment of bighead carp Hypophthalmichthys nobilis (Richardson, 1845) suitability in reservoirs: Management of Biological Invasions, v. 5, no. 4, p. 363-370, https://doi.org/10.3391/mbi.2014.5.4.07.","productDescription":"8 p.","startPage":"363","endPage":"370","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037998","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2014.5.4.07","text":"Publisher Index Page"},{"id":305763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.48791503906249,\n              33.61461929233378\n            ],\n            [\n              -95.2020263671875,\n              33.94335994657882\n            ],\n            [\n              -96.361083984375,\n              33.67406853374198\n            ],\n            [\n              -96.932373046875,\n              33.88865750124075\n            ],\n            [\n              -97.119140625,\n              33.701492795584365\n            ],\n            [\n              -97.9705810546875,\n              33.87953701355924\n            ],\n            [\n              -98.1683349609375,\n              34.098159345215535\n            ],\n            [\n              -98.8165283203125,\n              34.116352469972746\n            ],\n            [\n              -99.1900634765625,\n              34.1890858311724\n            ],\n            [\n              -99.33837890625,\n              34.420504880133834\n            ],\n            [\n              -99.68994140625,\n              34.35250666867596\n            ],\n            [\n              -100.0250244140625,\n              34.551811369170494\n            ],\n            [\n              -100.03051757812499,\n              36.48314061639213\n            ],\n            [\n              -103.062744140625,\n              36.47872381162464\n            ],\n            [\n              -103.0517578125,\n              38.51378825951165\n            ],\n            [\n              -94.6142578125,\n              38.556757147352215\n            ],\n            [\n              -94.6142578125,\n              36.474306755095206\n            ],\n            [\n              -94.41650390625,\n              35.348735749472546\n            ],\n            [\n              -94.48791503906249,\n              33.61461929233378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a78438e4b0183d66e45e8a","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liang, Yu","contributorId":145642,"corporation":false,"usgs":false,"family":"Liang","given":"Yu","affiliations":[],"preferred":false,"id":564868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dzialowski, Andrew R.","contributorId":145641,"corporation":false,"usgs":false,"family":"Dzialowski","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bidwell, Joseph R.","contributorId":105122,"corporation":false,"usgs":true,"family":"Bidwell","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168784,"text":"70168784 - 2014 - A continuous record of intereruption velocity change at Mount St. Helens from coda wave interferometry","interactions":[],"lastModifiedDate":"2016-03-02T14:37:05","indexId":"70168784","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A continuous record of intereruption velocity change at Mount St. Helens from coda wave interferometry","docAbstract":"<p><span>In September 2004, Mount St. Helens volcano erupted after nearly 18&thinsp;years of quiescence. However, it is unclear from the limited geophysical observations when or if the magma chamber replenished following the 1980&ndash;1986 eruptions in the years before the 2004&ndash;2008 extrusive eruption. We use coda wave interferometry with repeating earthquakes to measure small changes in the velocity structure of Mount St. Helens volcano that might indicate magmatic intrusion. By combining observations of relative velocity changes from many closely located earthquake sources, we solve for a continuous function of velocity changes with time. We find that seasonal effects dominate the relative velocity changes. Seismicity rates and repeating earthquake occurrence also vary seasonally; therefore, velocity changes and seismicity are likely modulated by snow loading, fluid saturation, and/or changes in groundwater level. We estimate hydrologic effects impart stress changes on the order of tens of kilopascals within the upper 4&thinsp;km, resulting in annual velocity variations of 0.5 to 1%. The largest nonseasonal change is a decrease in velocity at the time of the deep&nbsp;</span><i>M<span>w</span></i><span>&thinsp;=&thinsp;6.8 Nisqually earthquake. We find no systematic velocity changes during the most likely times of intrusions, consistent with a lack of observable surface deformation. We conclude that if replenishing intrusions occurred, they did not alter seismic velocities where this technique is sensitive due to either their small size or the finite compressibility of the magma chamber. We interpret the observed velocity changes and shallow seasonal seismicity as a response to small stress changes in a shallow, pressurized system.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2013JB010742","usgsCitation":"Hotovec-Ellis, A.J., Gomberg, J.S., Vidale, J., and Creager, K.C., 2014, A continuous record of intereruption velocity change at Mount St. Helens from coda wave interferometry: Journal of Geophysical Research B: Solid Earth, v. 119, no. 3, p. 2199-2214, https://doi.org/10.1002/2013JB010742.","productDescription":"16 p.","startPage":"2199","endPage":"2214","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052622","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010742","text":"Publisher Index Page"},{"id":318514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-28","publicationStatus":"PW","scienceBaseUri":"56d81cbae4b015c306f62bb0","contributors":{"authors":[{"text":"Hotovec-Ellis, Alicia J.","contributorId":81023,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":621758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":621757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vidale, John","contributorId":95804,"corporation":false,"usgs":true,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":621759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creager, Ken C.","contributorId":88603,"corporation":false,"usgs":true,"family":"Creager","given":"Ken","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":621760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168739,"text":"70168739 - 2014 - Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station","interactions":[],"lastModifiedDate":"2018-09-14T15:57:47","indexId":"70168739","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station","docAbstract":"<p><span>Information on the contribution of nitrogen (N)-cycling processes in bed sediments to river nutrient fluxes in large northern latitude river systems is limited. This study examined the relationship between N-cycling processes in bed sediments and N speciation and loading in the Yukon River near its mouth at the Bering Sea. We conducted laboratory bioassays to measure N-cycling processes in sediment samples collected over distinct water cycle seasons. In conjunction, the microbial community composition in the bed sediments using genes involved in N-cycling (</span><i>narG</i><span>,&nbsp;</span><i>napA</i><span>,&nbsp;</span><i>nosZ</i><span>, and&nbsp;</span><i>amoA</i><span>) and 16S rRNA gene pyrosequences was examined. Temporal variation was observed in net N mineralization, nitrate uptake, and denitrification rate potentials and correlated strongly with sediment carbon (C) and extractable N content and microbial community composition rather than with river water nutrient concentrations. The C content of the bed sediment was notably impacted by the spring flood, ranging from 1.1% in the midst of an ice-jam to 0.1% immediately after ice-out, suggesting a buildup of organic material (OM) prior to scouring of the bed sediments during ice break up. The dominant members of the microbial community that explained differences in N-processing rates belonged to the genera&nbsp;</span><i>Crenothrix</i><span>,</span><i>Flavobacterium</i><span>, and the family of Comamonadaceae. Our results suggest that biogeochemical processing rates in the bed sediments appear to be more coupled to hydrology, nutrient availability in the sediments, and microbial community composition rather than river nutrient concentrations at Pilot Station.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2014JG002707","usgsCitation":"Repert, D.A., Underwood, J., Smith, R.L., and Song, B., 2014, Nitrogen cycling processes and microbial community composition in bed sediments in the Yukon River at Pilot Station: Journal of Geophysical Research: Biogeosciences, v. 119, no. 12, p. 2328-2344, https://doi.org/10.1002/2014JG002707.","productDescription":"16 p.","startPage":"2328","endPage":"2344","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054832","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002707","text":"Publisher Index Page"},{"id":318419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Pilot Station","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.91454315185547,\n              61.91762456647703\n            ],\n            [\n              -162.91454315185547,\n              61.94960777635835\n            ],\n            [\n              -162.82733917236328,\n              61.94960777635835\n            ],\n            [\n              -162.82733917236328,\n              61.91762456647703\n            ],\n            [\n              -162.91454315185547,\n              61.91762456647703\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-26","publicationStatus":"PW","scienceBaseUri":"56d579d7e4b015c306f1fc80","chorus":{"doi":"10.1002/2014jg002707","url":"http://dx.doi.org/10.1002/2014jg002707","publisher":"Wiley-Blackwell","authors":"Repert Deborah A., Underwood Jennifer C., Smith Richard L., Song Bongkeun","journalName":"Journal of Geophysical Research: Biogeosciences","publicationDate":"12/2014","auditedOn":"1/10/2015"},"contributors":{"authors":[{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":621494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Jennifer C. jcunder@usgs.gov","contributorId":4680,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer C.","email":"jcunder@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":621495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":621496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Song, Bongkeun","contributorId":167262,"corporation":false,"usgs":false,"family":"Song","given":"Bongkeun","email":"","affiliations":[{"id":24668,"text":"University of North Carolina, Wilmington","active":true,"usgs":false}],"preferred":false,"id":621497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157069,"text":"70157069 - 2014 - Sources and sinks of carbon in boreal ecosystems of interior Alaska: a review","interactions":[],"lastModifiedDate":"2015-09-16T09:18:05","indexId":"70157069","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Sources and sinks of carbon in boreal ecosystems of interior Alaska: a review","docAbstract":"<p>Boreal regions store large quantities of carbon but are increasingly vulnerable to carbon loss due to disturbance and climate warming. The boreal region, underlain by discontinuous permafrost, presents a challenging landscape for itemizing current and potential carbon sources and sinks in the boreal soil and vegetation. The roles of fire, forest succession, and the presence (or absence) of permafrost on carbon cycle, vegetation, and hydrologic processes have been the focus of multidisciplinary research in this area for the past 20 years. However, projections of a warming future climate, an increase in fire severity and extent, and the potential degradation of permafrost could lead to major landscape process changes over the next 20 to 50 years. This provides a major challenge for predicting how the interplay between land management activities and impacts of climate warming will affect carbon sources and sinks in Interior Alaska. To assist land managers in adapting and managing for potential changes in the Interior Alaska carbon cycle we developed this review paper incorporating an overview of the climate, ecosystem processes, vegetation types, and soil regimes in Interior Alaska with a focus on ramifications for the carbon cycle. Our objective is to provide a synthesis of the most current carbon storage estimates and measurements to support policy and land management decisions on how to best manage carbon sources and sinks in Interior Alaska. To support this we have surveyed relevant peer reviewed estimates of carbon stocks in aboveground and belowground biomass for Interior Alaska boreal ecosystems. We have also summarized methane and carbon dioxide fluxes from the same ecosystems. These data have been converted into the same units to facilitate comparison across ecosystem compartments. We identify potential changes in the carbon cycle with climate change and human disturbance including how compounding disturbances can affect the boreal system. Finally, we provide recommendations to address the challenges facing land managers in efforts to manage carbon cycle processes. The results of this study can be used for carbon cycle management in other locations within the boreal biome which encompass a broad distribution from 45&deg; to 83&deg; north.</p>","language":"English","publisher":"BioOne","doi":"10.12952/journal.elementa.000032","usgsCitation":"Douglas, T.A., Jones, M.C., and Hiemstra, C.A., 2014, Sources and sinks of carbon in boreal ecosystems of interior Alaska: a review: Elementa: Science of the Anthropocene, v. 2, 39 p., https://doi.org/10.12952/journal.elementa.000032.","productDescription":"39 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059810","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":472532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12952/journal.elementa.000032","text":"Publisher Index Page"},{"id":308150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -149.94140625,\n              63.28800124531419\n            ],\n            [\n              -149.94140625,\n              64.9188850328549\n            ],\n            [\n              -144.393310546875,\n              64.9188850328549\n            ],\n            [\n              -144.393310546875,\n              63.28800124531419\n            ],\n            [\n              -149.94140625,\n              63.28800124531419\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-12","publicationStatus":"PW","scienceBaseUri":"55fa92d4e4b05d6c4e501ad3","contributors":{"authors":[{"text":"Douglas, Thomas A. 0000-0003-1314-1905","orcid":"https://orcid.org/0000-0003-1314-1905","contributorId":64553,"corporation":false,"usgs":false,"family":"Douglas","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":true,"id":571481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":571480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiemstra, Christopher A.","contributorId":147379,"corporation":false,"usgs":false,"family":"Hiemstra","given":"Christopher","email":"","middleInitial":"A.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":571482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70115030,"text":"70115030 - 2014 - Feedback of land subsidence on the movement and conjunctive use of water resources","interactions":[],"lastModifiedDate":"2018-04-03T13:57:54","indexId":"70115030","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Feedback of land subsidence on the movement and conjunctive use of water resources","docAbstract":"<p><span>The dependency of surface- or groundwater flows and aquifer hydraulic properties on dewatering-induced layer deformation is not available in the USGS's groundwater model MODFLOW. A new integrated hydrologic model, MODFLOW-OWHM, formulates this dependency by coupling mesh deformation with aquifer transmissivity and storage and by linking land subsidence/uplift with deformation-dependent flows that also depend on aquifer head and other flow terms. In a test example, flows most affected were stream seepage and evapotranspiration from groundwater (ET</span><sub>gw</sub><span>). Deformation feedback also had an indirect effect on conjunctive surface- and groundwater use components: Changed stream seepage and streamflows influenced surface-water deliveries and returnflows. Changed ET</span><sub>gw</sub><span>&nbsp;affected irrigation demand, which jointly with altered surface-water supplies resulted in changed supplemental groundwater requirements and pumping and changed return runoff. This modeling feature will improve the impact assessment of dewatering-induced land subsidence/uplift (following irrigation pumping or coal-seam gas extraction) on surface receptors, inter-basin transfers, and surface-infrastructure integrity.</span></p>","publisher":"Elsevier","doi":"10.1016/j.envsoft.2014.08.006","usgsCitation":"Schmid, W., Hanson, R., Leake, S., Hughes, J.D., and Niswonger, R., 2014, Feedback of land subsidence on the movement and conjunctive use of water resources: Environmental Modelling and Software, v. 62, p. 253-270, https://doi.org/10.1016/j.envsoft.2014.08.006.","productDescription":"18 p.","startPage":"253","endPage":"270","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037701","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":323480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92de4b04f417c2baa1a","chorus":{"doi":"10.1016/j.envsoft.2014.08.006","url":"http://dx.doi.org/10.1016/j.envsoft.2014.08.006","publisher":"Elsevier BV","authors":"Schmid Wolfgang, Hanson R.T., Leake S.A., Hughes Joseph D., Niswonger Richard G.","journalName":"Environmental Modelling & Software","publicationDate":"12/2014","auditedOn":"11/5/2014"},"contributors":{"authors":[{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":519013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T.","contributorId":116764,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall T.","affiliations":[],"preferred":false,"id":519014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leake, Stanley A.","contributorId":117847,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley A.","affiliations":[],"preferred":false,"id":519015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":519016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":2833,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","email":"rniswon@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519012,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70168667,"text":"70168667 - 2014 - Disturbance to desert soil ecosystems contributes to dust-mediated impacts at regional scales","interactions":[],"lastModifiedDate":"2016-02-24T14:09:19","indexId":"70168667","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance to desert soil ecosystems contributes to dust-mediated impacts at regional scales","docAbstract":"<p><span>This review considers the regional scale of impacts arising from disturbance to desert soil ecosystems. Deserts occupy over one-third of the Earth&rsquo;s terrestrial surface, and biological soil covers are critical to stabilization of desert soils. Disturbance to these can contribute to massive destabilization and mobilization of dust. This results in dust storms that are transported across inter-continental distances where they have profound negative impacts. Dust deposition at high altitudes causes radiative forcing of snowpack that leads directly to altered hydrological regimes and changes to freshwater biogeochemistry. In marine environments dust deposition impacts phytoplankton diazotrophy, and causes coral reef senescence. Increasingly dust is also recognized as a threat to human health.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10531-014-0690-x","usgsCitation":"Pointing, S.B., and Belnap, J., 2014, Disturbance to desert soil ecosystems contributes to dust-mediated impacts at regional scales: Biodiversity and Conservation, v. 23, no. 7, p. 1659-1667, https://doi.org/10.1007/s10531-014-0690-x.","productDescription":"9 p.","startPage":"1659","endPage":"1667","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068093","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-17","publicationStatus":"PW","scienceBaseUri":"56cee25ee4b015c306ec5eaf","contributors":{"authors":[{"text":"Pointing, Stephen B.","contributorId":8347,"corporation":false,"usgs":true,"family":"Pointing","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":621216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":621215,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168484,"text":"70168484 - 2014 - A multi-indicator framework for mapping cultural ecosystem services: The case of freshwater recreational fishing","interactions":[],"lastModifiedDate":"2016-02-17T10:14:18","indexId":"70168484","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A multi-indicator framework for mapping cultural ecosystem services: The case of freshwater recreational fishing","docAbstract":"<p><span>Despite recent interest, ecosystem services are not yet fully incorporated into private and public decisions about natural resource management. Cultural ecosystem services (CES) are among the most challenging of services to include because they comprise complex ecological and social properties and processes that make them difficult to measure, map or monetize. Like others, CES are vulnerable to landscape changes and unsustainable use. To date, the sustainability of services has not been adequately addressed and few studies have considered measures of service capacity and demand simultaneously. To facilitate sustainability assessments and management of CES, our study objectives were to (1) develop a spatially explicit framework for mapping the capacity of ecosystems to provide freshwater recreational fishing, an important cultural service, (2) map societal demand for freshwater recreational fishing based on license data and identify areas of potential overuse, and (3) demonstrate how maps of relative capacity and relative demand could be interfaced to estimate sustainability of a CES. We mapped freshwater recreational fishing capacity at the 12-digit hydrologic unit-scale in North Carolina and Virginia using a multi-indicator service framework incorporating biophysical and social landscape metrics and mapped demand based on fishing license data. Mapping of capacity revealed a gradual decrease in capacity eastward from the mountains to the coastal plain and that fishing demand was greatest in urban areas. When comparing standardized relative measures of capacity and demand for freshwater recreational fishing, we found that ranks of capacity exceeded ranks of demand in most hydrologic units, except in 17% of North Carolina and 5% of Virginia. Our GIS-based approach to view freshwater recreational fishing through an ecosystem service lens will enable scientists and managers to examine (1) biophysical and social factors that foster or diminish cultural ecosystem services delivery, (2) demand for cultural ecosystem services relative to their capacity, and (3) ecological pressures like potential overuse that affect service sustainability. Ultimately, we expect such analyses to inform decision-making for freshwater recreational fisheries and other cultural ecosystem services.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2014.04.001","usgsCitation":"Villamagna, A., Mogollon, B., and Angermeier, P.L., 2014, A multi-indicator framework for mapping cultural ecosystem services: The case of freshwater recreational fishing: Ecological Indicators, v. 45, p. 255-265, https://doi.org/10.1016/j.ecolind.2014.04.001.","productDescription":"11 p.","startPage":"255","endPage":"265","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049121","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c5a7bce4b0946c6522500a","contributors":{"authors":[{"text":"Villamagna, Amy M.","contributorId":166683,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy M.","affiliations":[{"id":35056,"text":"Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":620693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mogollon, Beatriz","contributorId":166682,"corporation":false,"usgs":false,"family":"Mogollon","given":"Beatriz","email":"","affiliations":[{"id":35590,"text":"USAID/USFS","active":true,"usgs":false}],"preferred":false,"id":620694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":620543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155235,"text":"70155235 - 2014 - Dietary breadth of grizzly bears in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2015-08-05T11:40:15","indexId":"70155235","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Dietary breadth of grizzly bears in the Greater Yellowstone Ecosystem","docAbstract":"<p>Grizzly bears (<i>Ursus arctos</i>) in the Greater Yellowstone Ecosystem (GYE) are opportunistic omnivores that eat a great diversity of plant and animal species. Changes in climate may affect regional vegetation, hydrology, insects, and fire regimes, likely influencing the abundance, range, and elevational distribution of the plants and animals consumed by GYE grizzly bears. Determining the dietary breadth of grizzly bears is important to document future changes in food resources and how those changes may affect the nutritional ecology of grizzlies. However, no synthesis exists of all foods consumed by grizzly bears in the GYE. We conducted a review of available literature and compiled a list of species consumed by grizzly bears in the GYE. We documented &gt;266 species within 200 genera from 4 kingdoms, including 175 plant, 37 invertebrate, 34 mammal, 7 fungi, 7 bird, 4 fish, 1 amphibian, and 1 algae species as well as 1 soil type consumed by grizzly bears. The average energy values of the ungulates (6.8 kcal/g), trout (Oncorhynchus spp., 6.1 kcal/g), and small mammals (4.5 kcal/g) eaten by grizzlies were higher than those of the plants (3.0 kcal/g) and invertebrates (2.7 kcal/g) they consumed. The most frequently detected diet items were graminoids, ants (Formicidae), whitebark pine seeds (Pinus albicaulis), clover (Trifolium spp.), and dandelion (Taraxacum spp.). The most consistently used foods on a temporal basis were graminoids, ants, whitebark pine seeds, clover, elk (Cervus elaphus), thistle (Cirsium spp.), and horsetail (Equisetum spp.). Historically, garbage was a significant diet item for grizzlies until refuse dumps were closed. Use of forbs increased after garbage was no longer readily available. The list of foods we compiled will help managers of grizzly bears and their habitat document future changes in grizzly bear food habits and how bears respond to changing food resources.</p>","language":"English","publisher":"International Association for Bear Research & Management","doi":"10.2192/URSUS-D-13-00008.1","usgsCitation":"Gunther, K.A., Shoemaker, R., Frey, K.L., Haroldson, M.A., Cain, S.L., van Manen, F.T., and Fortin, J., 2014, Dietary breadth of grizzly bears in the Greater Yellowstone Ecosystem: Ursus, v. 25, no. 1, p. 60-72, https://doi.org/10.2192/URSUS-D-13-00008.1.","productDescription":"14 p.","startPage":"60","endPage":"72","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044695","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Grand Teton National Park, Grays Lake, John D. Rockefeller, Jr. Memorial Parkway, National Elk Refuge, Red Rock Lakes, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.072265625,\n              45.174292524076726\n            ],\n            [\n              -109.808349609375,\n              45.897654534346884\n            ],\n            [\n              -111.566162109375,\n              45.73685954736049\n            ],\n            [\n              -112.3681640625,\n              45.38301927899065\n            ],\n            [\n              -112.576904296875,\n              44.68427737181225\n            ],\n            [\n              -112.0166015625,\n              43.5326204268101\n            ],\n            [\n              -111.0498046875,\n              41.88592102814744\n            ],\n            [\n              -110.3466796875,\n              41.820455096140314\n            ],\n            [\n              -110.07202148437499,\n              42.98053954751642\n            ],\n            [\n              -109.039306640625,\n              42.3016903282445\n            ],\n            [\n              -108.47900390625,\n              42.779275360241904\n            ],\n            [\n              -109.072265625,\n              45.174292524076726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c333abe4b033ef52106a89","contributors":{"authors":[{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":565230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoemaker, Rebecca","contributorId":145775,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Rebecca","email":"","affiliations":[{"id":16231,"text":"Grizzly Bear Recovery Office, U.S. Fish and Wildlife Service, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":565232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frey, Kevin L.","contributorId":124580,"corporation":false,"usgs":false,"family":"Frey","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":5125,"text":"Montana Fish Wildlife and Parks, Bear Management Office, 1400 South 19th Avenue, Bozeman, MT 59718","active":true,"usgs":false}],"preferred":false,"id":565231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cain, Steven L.","contributorId":145511,"corporation":false,"usgs":false,"family":"Cain","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":16139,"text":"National Park Service, Grand Teton National Park, Moose, Wyoming 83012, USA","active":true,"usgs":false}],"preferred":false,"id":565233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fortin, Jennifer K. jfortin-noreus@usgs.gov","contributorId":5419,"corporation":false,"usgs":true,"family":"Fortin","given":"Jennifer K.","email":"jfortin-noreus@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":565234,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70158996,"text":"70158996 - 2014 - Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis","interactions":[],"lastModifiedDate":"2018-09-14T15:47:55","indexId":"70158996","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis","docAbstract":"<p>Mercury is a ubiquitous global environmental toxicant responsible for most US fish advisories. Processes governing mercury concentrations in rivers and streams are not well understood, particularly at multiple spatial scales. We investigate how insights gained from reach-scale mercury data and model simulations can be applied at broader watershed scales using a spatially and temporally explicit watershed hydrology and biogeochemical cycling model, VELMA. We simulate fate and transport using reach-scale (0.1 km2) study data and evaluate applications to multiple watershed scales. Reach-scale VELMA parameterization was applied to two nested sub-watersheds (28 km2 and 25 km2) and the encompassing watershed (79 km2). Results demonstrate that simulated flow and total mercury concentrations compare reasonably to observations at different scales, but simulated methylmercury concentrations are out-of-phase with observations. These findings suggest that intricacies of methylmercury biogeochemical cycling and transport are under-represented in VELMA and underscore the complexity of simulating mercury fate and transport.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2013.12.026","usgsCitation":"Knightes, C.D., Golden, H., Journey, C.A., Davis, G.M., Conrads, P., Marvin-DiPasquale, M., Brigham, M.E., and Bradley, P.M., 2014, Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis: Environmental Pollution, v. 187, p. 182-192, https://doi.org/10.1016/j.envpol.2013.12.026.","productDescription":"1 p.","startPage":"182","endPage":"192","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063377","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":309838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"McTier Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.60507202148438,\n              33.75060604160645\n            ],\n            [\n              -81.60507202148438,\n              33.821370991333076\n            ],\n            [\n              -81.51168823242188,\n              33.821370991333076\n            ],\n            [\n              -81.51168823242188,\n              33.75060604160645\n            ],\n            [\n              -81.60507202148438,\n              33.75060604160645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"187","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561e2b37e4b0cdb063e59cdf","contributors":{"authors":[{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":577194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Heather E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":577195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Gary M.","contributorId":12741,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":577197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marvin-DiPasquale, Mark 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":149175,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":577199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577200,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577193,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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