{"pageNumber":"526","pageRowStart":"13125","pageSize":"25","recordCount":68911,"records":[{"id":70176232,"text":"70176232 - 2014 - Fate of nutrients in shallow groundwater receiving treated septage, Malibu, CA","interactions":[],"lastModifiedDate":"2016-09-06T20:06:38","indexId":"70176232","displayToPublicDate":"2016-09-05T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Fate of nutrients in shallow groundwater receiving treated septage, Malibu, CA","docAbstract":"<p><span>Treated wastewater discharged from more than 400 onsite wastewater treatment systems (OWTS) near the Civic Center area of Malibu, California, 40 km west of downtown Los Angeles, composes 28% of the recharge to a 3.4 km</span><sup><span>2</span></sup><span>&nbsp;alluvial aquifer. On the basis of &delta;</span><sup><span>18</span></sup><span>O and &delta;D data, the fraction of wastewater in some samples was &gt;70%. Ammonium and nitrate concentrations in water from 15 water-table wells sampled in July 2009 and April 2010 ranged from &lt;0.01 to 12 milligrams per liter as nitrogen (mg/L as N), and from &lt;0.01 to 11 mg/L as N, respectively. Chemical and isotopic data (&delta;</span><sup><span>15</span></sup><span>N of ammonium and nitrate, and &delta;</span><sup><span>18</span></sup><span>O of nitrate) show two processes remove nitrogen discharged from OWTS. Where groundwater was reducing, sorption of ammonium resulted in 30 to 50% nitrogen removal. Where groundwater was initially oxic, nitrification with subsequent denitrification as reducing conditions developed, resulted in up to 60% nitrogen removal. Nitrogen removal through sorption dominated during the cooler April sample period, and denitrification dominated during the warmer July sample period. The combination of mixing and nitrogen removal due to denitrification, sorption, and volatilization produces a &delta;</span><sup><span>15</span></sup><span>N apparent fractionation factor (&epsilon;</span><sub><span>app</span></sub><span>= -5), that can be explained using laboratory-derived fractionation factors (&epsilon;) for the individual processes. Phosphate concentrations ranged from &lt;0.04 to 2 mg/L as phosphorous. Sorption to iron oxides on the surfaces of mineral grains at near-neutral pH's removed some phosphate; however, little removal occurred at more alkaline pH's (&gt;7.3).</span></p>","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.12194","usgsCitation":"Izbicki, J.A., 2014, Fate of nutrients in shallow groundwater receiving treated septage, Malibu, CA: Groundwater, v. 52, no. Supplement S1, p. 218-233, https://doi.org/10.1111/gwat.12194.","productDescription":"16 p.","startPage":"218","endPage":"233","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043823","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12194","text":"Publisher Index Page"},{"id":328238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Malibu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.675,\n              34.02\n            ],\n            [\n              -118.675,\n              34.05\n            ],\n            [\n              -118.7,\n              34.05\n            ],\n            [\n              -118.7,\n              34.02\n            ],\n            [\n              -118.675,\n              34.02\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"Supplement S1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-05","publicationStatus":"PW","scienceBaseUri":"57cd379ae4b0f2f0cec49185","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647976,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174176,"text":"70174176 - 2014 - Fine scale habitat use by age-1 stocked muskellunge and wild northern pike in an upper St. Lawrence River bay","interactions":[],"lastModifiedDate":"2016-07-12T18:19:58","indexId":"70174176","displayToPublicDate":"2016-06-27T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Fine scale habitat use by age-1 stocked muskellunge and wild northern pike in an upper St. Lawrence River bay","docAbstract":"<p><span>Radio telemetry of stocked muskellunge (</span><i>n</i><span>&nbsp;=&nbsp;6) and wild northern pike (</span><i>n</i><span>&nbsp;=&nbsp;6) was used to track late summer and fall movements from a common release point in a known shared nursery bay to test the hypothesis that age-1 northern pike and stocked muskellunge segregate and have different habitat affinities. Water depth, temperature, substrate and aquatic vegetation variables were estimated for each muskellunge (</span><i>n</i><span>&nbsp;=&nbsp;103) and northern pike (</span><i>n</i><span>&nbsp;=&nbsp;131) position and nested ANOVA comparisons by species indicated differences in habitat use. Muskellunge exhibited a greater displacement from the release point and used habitat in shallower water depths (mean&nbsp;=&nbsp;0.85&nbsp;m, SE&nbsp;=&nbsp;0.10) than northern pike (mean&nbsp;=&nbsp;1.45&nbsp;m, SE&nbsp;=&nbsp;0.08). Both principal components analysis (PCA) and principal components ordination (PCO) were used to interpret underlying gradients relative to fish positions in two-dimensional space. Our analysis indicated that a separation of age-1 northern pike and muskellunge occurred 7&nbsp;d post-release. This first principal component explained 48% of the variation in habitat use. Northern pike locations were associated with deeper habitats that generally had softer silt substrates and dense submersed vegetation. Muskellunge locations post-acclimation showed greater association with shallower habitats containing firmer sandy and clay substrates and emergent vegetation. The observed differences in habitat use suggest that fine-scale ecological separation occurred between these stocked muskellunge and wild northern pike, but small sample sizes and potential for individual variation limit extension of these conclusions. Further research is needed to determine if these patterns exist between larger samples of fishes over a greater range of habitats.</span></p>","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2014.01.014","usgsCitation":"Farrell, J.M., Kapuscinski, K.L., and Underwood, H.B., 2014, Fine scale habitat use by age-1 stocked muskellunge and wild northern pike in an upper St. Lawrence River bay: Journal of Great Lakes Research, v. 40, Supplement 2, p. 148-153, https://doi.org/10.1016/j.jglr.2014.01.014.","productDescription":"6 p.","startPage":"148","endPage":"153","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061058","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324517,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  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of New York, College of Environmental Science and Forestry, Department of Environmental and Forest Biology, 250 Illick Hall, 1 Forestry Drive, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":641039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kapuscinski, Kevin L.","contributorId":172506,"corporation":false,"usgs":false,"family":"Kapuscinski","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":27059,"text":"State University of New York, College of Environmental Science and Forestry, Department of Environmental and Forest Biology, 304 Illick Hall, 1 Forestry Drive, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":641040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, H. Brian 0000-0002-2064-9128 hbunderw@usgs.gov","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":140185,"corporation":false,"usgs":true,"family":"Underwood","given":"H.","email":"hbunderw@usgs.gov","middleInitial":"Brian","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641041,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175170,"text":"70175170 - 2014 - Influences of glacial melt and permafrost thaw on the age of dissolved organic carbon in the Yukon River basin","interactions":[],"lastModifiedDate":"2017-06-29T11:59:33","indexId":"70175170","displayToPublicDate":"2016-05-25T06:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Influences of glacial melt and permafrost thaw on the age of dissolved organic carbon in the Yukon River basin","docAbstract":"<div class=\"article-section__content mainAbstract\"><p><span>Responses of near-surface permafrost and glacial ice to climate change are of particular significance for understanding long-term effects on global carbon cycling and carbon export by high-latitude northern rivers. Here we report Δ</span><sup>14</sup><span>C-dissolved organic carbon (DOC) values and dissolved organic matter optical data for the Yukon River, 15 tributaries of the Yukon River, glacial meltwater, and groundwater and soil water end-member sources draining to the Yukon River, with the goal of assessing mobilization of aged DOC within the watershed. Ancient DOC was associated with glacial meltwater and groundwater sources. In contrast, DOC from watersheds dominated by peat soils and underlain by permafrost was typically enriched in Δ</span><sup>14</sup><span>C indicating that degradation of ancient carbon stores is currently not occurring at large enough scales to quantitatively influence bulk DOC exports from those landscapes. On an annual basis, DOC exported was predominantly modern during the spring period throughout the Yukon River basin and became older through summer-fall and winter periods, suggesting that contributions of older DOC from soils, glacial meltwaters, and groundwater are significant during these months. Our data indicate that rapidly receding glaciers and increasing groundwater inputs will likely result in greater contributions of older DOC in the Yukon River and its tributaries in coming decades.</span></p></div>","language":"English","publisher":"AGU","publisherLocation":"Hoboken, NJ","doi":"10.1002/2013GB004764","usgsCitation":"Aiken, G.R., Spencer, R., Striegl, R.G., Schuster, P.F., and Raymond, P.A., 2014, Influences of glacial melt and permafrost thaw on the age of dissolved organic carbon in the Yukon River basin: Global Biogeochemical Cycles, v. 28, no. 5, p. 525-537, https://doi.org/10.1002/2013GB004764.","productDescription":"13 p.","startPage":"525","endPage":"537","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052047","costCenters":[{"id":5044,"text":"National Research Program - Central 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graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":644199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","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},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":644200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","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":644201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":644202,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70169946,"text":"70169946 - 2014 - Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin","interactions":[],"lastModifiedDate":"2016-03-31T13:37:07","indexId":"70169946","displayToPublicDate":"2016-03-31T09:30:00","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":"Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin","docAbstract":"<p><span>A terminal lake basin in west-central Nevada, Walker Lake, has undergone drastic change over the past 90&nbsp;yrs due to upstream water use for agriculture. Decreased inflows to the lake have resulted in 100&nbsp;km</span><sup>2</sup><span>&nbsp;decrease in lake surface area and a total loss of fisheries due to salinization. The ecologic health of Walker Lake is of great concern as the lake is a stopover point on the Pacific route for migratory birds from within and outside the United States. Stakeholders, water institutions, and scientists have engaged in collaborative modeling and the development of a decision support system that is being used to develop and analyze management change options to restore the lake. Here we use an integrated management and hydrologic model that relies on state-of-the-art simulation capabilities to evaluate the benefits of using integrated hydrologic models as components of a decision support system. Nonlinear feedbacks among climate, surface-water and groundwater exchanges, and water use present challenges for simulating realistic outcomes associated with management change. Integrated management and hydrologic modeling provides a means of simulating benefits associated with management change in the Walker River basin where drastic changes in the hydrologic landscape have taken place over the last century. Through the collaborative modeling process, stakeholder support is increasing and possibly leading to management change options that result in reductions in Walker Lake salt concentrations, as simulated by the decision support system.</span></p>","language":"English","doi":"10.1016/j.jhydrol.2014.05.043","collaboration":"Bureau of Reclamation","usgsCitation":"Niswonger, R.G., Allander, K.K., and Jeton, A.E., 2014, Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin: Journal of Hydrology, v. 517, p. 521-537, https://doi.org/10.1016/j.jhydrol.2014.05.043.","productDescription":"17 p.","startPage":"521","endPage":"537","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052113","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":319667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Walker Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.2403564453125,\n              38.30071455572194\n            ],\n            [\n              -118.2403564453125,\n              38.30071455572194\n            ],\n            [\n              -118.2403564453125,\n              38.30071455572194\n            ],\n            [\n              -118.2403564453125,\n              38.30071455572194\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.5806884765625,\n              38.27053224010455\n            ],\n            [\n              -119.5806884765625,\n              39.13432124527173\n            ],\n            [\n              -118.28979492187499,\n              39.13432124527173\n            ],\n            [\n              -118.28979492187499,\n              38.27053224010455\n            ],\n            [\n              -119.5806884765625,\n              38.27053224010455\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"517","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fe3c22e4b075ab2b2aa095","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":152462,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":625691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allander, Kip K. 0000-0002-3317-298X kalland@usgs.gov","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":2290,"corporation":false,"usgs":true,"family":"Allander","given":"Kip","email":"kalland@usgs.gov","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":625692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jeton, Anne E.","contributorId":45351,"corporation":false,"usgs":true,"family":"Jeton","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":625693,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170586,"text":"70170586 - 2014 - Experimental manipulation of TN:TP ratiossuppress cyanobacterial biovolume and microcystinconcentration in large-scale <i>in situ</i> mesocosms","interactions":[],"lastModifiedDate":"2016-04-27T10:25:05","indexId":"70170586","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Experimental manipulation of TN:TP ratiossuppress cyanobacterial biovolume and microcystinconcentration in large-scale <i>in situ</i> mesocosms","docAbstract":"<p><span>A global dataset was compiled to examine relations between the total nitrogen to total phosphorus ratio (TN:TP) and microcystin concentration in lakes and reservoirs. Microcystin concentration decreased as TN:TP ratios increased, suggesting that manipulation of the TN:TP ratio may reduce microcystin concentrations. This relationship was experimentally tested by adding ammonium nitrate to increase the TN:TP ratio in large-scale (70&nbsp;m</span><sup>3</sup><span>),&nbsp;</span><i>in situ</i><span>&nbsp;mesocosms located in a eutrophic reservoir that routinely experiences toxic blooms of cyanobacteria. At a TN:TP ratio &gt;75:1, chlorophytes dominated the phytoplankton community in the mesocosms, while cyanobacterial biovolume was significantly reduced and microcystin was not detected. In contrast, the unmanipulated reservoir was dominated by cyanobacteria, and microcystin was detected. Secchi depths were 1.1 to 1.8&nbsp;times greater in the mesocosms relative to the reservoir. Cladoceran zooplankton had a larger body size (0.14&nbsp;mm on average) in the mesocosms compared to conspecifics in the reservoir, which was likely related to the higher quality food. Combined, these empirical and experimental data indicate that although nutrient addition is counterintuitive to current cyanobacteria management practices, increasing the TN:TP ratio by adding nitrogen may be a potential short-term management strategy to reduce cyanobacteria and cyanotoxins when other alternatives (e.g., phosphorus reduction) are not possible. Additional experimental studies with careful controls are needed to define best management practices and identify any potential unintended consequences before nitrogen addition is implemented as a lake and reservoir management practice.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2013.876131","usgsCitation":"Harris, T.D., Wilhelm, F.M., Graham, J., and Loftin, K.A., 2014, Experimental manipulation of TN:TP ratiossuppress cyanobacterial biovolume and microcystinconcentration in large-scale <i>in situ</i> mesocosms: Lake and Reservoir Management, v. 30, no. 1, p. 72-83, https://doi.org/10.1080/10402381.2013.876131.","productDescription":"12 p.","startPage":"72","endPage":"83","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052249","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":472505,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2013.876131","text":"Publisher Index Page"},{"id":320594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-30","publicationStatus":"PW","scienceBaseUri":"5721e2b3e4b0b13d3913032b","contributors":{"authors":[{"text":"Harris, Theodore D. 0000-0003-0944-8007 tdharris@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-8007","contributorId":4040,"corporation":false,"usgs":true,"family":"Harris","given":"Theodore","email":"tdharris@usgs.gov","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":627768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilhelm, Frank M.","contributorId":149759,"corporation":false,"usgs":false,"family":"Wilhelm","given":"Frank","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":627769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":627771,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70135054,"text":"70135054 - 2014 - Final Project Memorandum: Ecological implications of mangrove forest migration in the southeastern U.S.","interactions":[],"lastModifiedDate":"2017-06-13T16:35:43","indexId":"70135054","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Final Project Memorandum: Ecological implications of mangrove forest migration in the southeastern U.S.","docAbstract":"Winter climate change has the potential to have a large impact on coastal wetlands in the southeastern United States. Warmer winter temperatures and reductions in the intensity of freeze events would likely lead to mangrove forest range expansion and salt marsh displacement in parts of the U.S. Gulf of Mexico and Atlantic coast. The objective of this research was to better evaluate the ecological implications of mangrove forest migration and salt marsh displacement. The potential ecological impacts of mangrove migration are diverse ranging from important biotic impacts (e.g., coastal fisheries, land bird migration; colonial-nesting wading birds) to ecosystem stability (e.g., response to sea level rise and drought; habitat loss; coastal protection) to biogeochemical processes (e.g., carbon storage; water quality). This research specifically investigated the impact of mangrove forest migration on coastal wetland soil processes and the consequent implications for coastal wetland responses to sea level rise and carbon storage.","language":"English","publisher":"Department of Interior Southeast Climate Science Center","publisherLocation":"Raleigh, NC ","usgsCitation":"Osland, M.J., Day, R.H., Krauss, K.W., From, A.S., Larriviere, J.C., Hester, M.W., Yando, E.S., and Willis, J., 2014, Final Project Memorandum: Ecological implications of mangrove forest migration in the southeastern U.S., 14 p.","productDescription":"14 p.","ipdsId":"IP-061252","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":342446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342445,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://globalchange.ncsu.edu/secsc/projects/ecological-implications-of-mangrove-forest-migration-in-the-southeastern-united-states/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5940f9b5e4b0764e6c63ead5","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":526756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":526757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":526760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":526761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larriviere, Jack C. jlarriviere@usgs.gov","contributorId":5839,"corporation":false,"usgs":true,"family":"Larriviere","given":"Jack","email":"jlarriviere@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":526763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hester, Mark W.","contributorId":9566,"corporation":false,"usgs":true,"family":"Hester","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":526759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yando, Erik S.","contributorId":127788,"corporation":false,"usgs":false,"family":"Yando","given":"Erik","email":"","middleInitial":"S.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":526758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willis, Jonathan A","contributorId":127789,"corporation":false,"usgs":false,"family":"Willis","given":"Jonathan A","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":526762,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70173455,"text":"70173455 - 2014 - Regional variability among nonlinear chlorophyll-phosphorus relationships in lakes","interactions":[],"lastModifiedDate":"2016-06-17T14:53:37","indexId":"70173455","displayToPublicDate":"2015-12-22T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Regional variability among nonlinear chlorophyll-phosphorus relationships in lakes","docAbstract":"<p><span>The relationship between chlorophyll&nbsp;</span><i>a</i><span>&nbsp;(Chl&nbsp;</span><i>a</i><span>) and total phosphorus (TP) is a fundamental relationship in lakes that reflects multiple aspects of ecosystem function and is also used in the regulation and management of inland waters. The exact form of this relationship has substantial implications on its meaning and its use. We assembled a spatially extensive data set to examine whether nonlinear models are a better fit for Chl&nbsp;</span><i>a</i><span>&mdash;TP relationships than traditional log-linear models, whether there were regional differences in the form of the relationships, and, if so, which regional factors were related to these differences. We analyzed a data set from 2105 temperate lakes across 35 ecoregions by fitting and comparing two different nonlinear models and one log-linear model. The two nonlinear models fit the data better than the log-linear model. In addition, the parameters for the best-fitting model varied among regions: the maximum and lower Chl&nbsp;</span><i>a</i><span>asymptotes were positively and negatively related to percent regional pasture land use, respectively, and the rate at which chlorophyll increased with TP was negatively related to percent regional wetland cover. Lakes in regions with more pasture fields had higher maximum chlorophyll concentrations at high TP concentrations but lower minimum chlorophyll concentrations at low TP concentrations. Lakes in regions with less wetland cover showed a steeper Chl&nbsp;</span><i>a</i><span>&mdash;TP relationship than wetland-rich regions. Interpretation of Chl&nbsp;</span><i>a</i><span>&mdash;TP relationships depends on regional differences, and theory and management based on a monolithic relationship may be inaccurate.</span></p>","language":"English","publisher":"ASLO","doi":"10.4319/lo.2014.59.5.1691","usgsCitation":"Filstrup, C.T., Wagner, T., Soranno, P.A., Stanley, E.H., Stow, C., Webster, K.E., and Downing, J., 2014, Regional variability among nonlinear chlorophyll-phosphorus relationships in lakes: Limnology and Oceanography, v. 59, no. 5, p. 1691-1703, https://doi.org/10.4319/lo.2014.59.5.1691.","productDescription":"12 p.","startPage":"1691","endPage":"1703","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051853","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Maine, Michigan, New Hampshire, Ohio, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-90.640927,42.508302],[-90.161159,42.106372],[-90.172765,41.866149],[-90.364128,41.579633],[-91.050328,41.400049],[-91.113648,41.241401],[-90.955201,40.986805],[-91.448441,40.378914],[-91.785916,40.611488],[-95.746443,40.584935],[-95.852615,40.702262],[-95.929889,41.415155],[-96.096186,41.547192],[-96.077543,41.777824],[-96.628741,42.757532],[-96.448134,43.104452],[-96.598396,43.495074],[-91.261781,43.500993],[-91.267436,43.804166],[-91.425188,43.984322],[-92.787906,44.737432],[-92.802056,45.057423],[-92.650422,45.398507],[-92.883987,45.65487],[-92.683924,45.903939],[-92.319329,46.069289],[-92.291647,46.604649],[-92.08949,46.74924],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.398478,46.575832],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192],[-90.640927,42.508302]]],[[[-70.353392,43.535405],[-70.810999,42.892375],[-71.181803,42.73759],[-72.458519,42.726853],[-72.557247,42.853019],[-72.381187,43.554915],[-72.031898,44.076241],[-72.032341,44.315752],[-71.557972,44.570451],[-71.613094,44.718933],[-71.443882,45.235462],[-70.898482,45.244088],[-70.684614,45.395071],[-70.688214,45.563981],[-70.259117,45.890755],[-70.290896,46.185838],[-70.057061,46.415036],[-69.997086,46.69523],[-69.439198,47.250033],[-69.22442,47.459686],[-69.066715,47.43024],[-69.0402,47.2451],[-68.893204,47.182974],[-68.292679,47.359476],[-68.061842,47.256451],[-67.790515,47.067921],[-67.803148,45.696127],[-67.476704,45.604157],[-67.489464,45.282653],[-67.390579,45.154114],[-67.145652,45.146667],[-66.986318,44.820657],[-68.049334,44.33073],[-68.22939,44.463496],[-68.191924,44.306675],[-68.339498,44.222893],[-68.3791,44.430049],[-68.529905,44.39907],[-68.528153,44.241263],[-68.982449,44.426195],[-69.031878,44.079036],[-69.259838,43.921427],[-69.851297,43.703581],[-70.107229,43.809178],[-70.353392,43.535405]]],[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.806082,41.696089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.069573,45.459239],[-85.079528,45.617083],[-84.94565,45.708621],[-85.011433,45.757962],[-84.774156,45.788918],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.643166,43.852468],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.40822,41.832654],[-83.37573,41.686647],[-82.481214,41.381342],[-81.69325,41.514161],[-80.533774,41.973475],[-80.518991,40.638801],[-80.667957,40.582496],[-80.619297,40.26517],[-80.88036,39.620706],[-81.656138,39.277355],[-81.874857,38.881174],[-82.068864,38.984878],[-82.318111,38.457876],[-82.569368,38.406258],[-82.923694,38.750076],[-83.301951,38.598178],[-83.512571,38.701716],[-83.679484,38.630036],[-84.212904,38.805707],[-84.445242,39.114461],[-84.812241,39.107102],[-84.806082,41.696089]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA 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A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":639624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":639625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":639626,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Downing, John A.","contributorId":70348,"corporation":false,"usgs":true,"family":"Downing","given":"John A.","affiliations":[],"preferred":false,"id":639627,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70171553,"text":"70171553 - 2014 - USGS geologic Mapping and karst research in the Ozark National Scenic Riverways, Missouri, USA","interactions":[],"lastModifiedDate":"2016-06-03T13:10:43","indexId":"70171553","displayToPublicDate":"2015-12-22T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1809,"text":"George Wright Society Forum","active":true,"publicationSubtype":{"id":10}},"title":"USGS geologic Mapping and karst research in the Ozark National Scenic Riverways, Missouri, USA","docAbstract":"<p>The Ozark National Scenic Riverways (ONSR) was created in 1964 to protect 134 miles of the Current River and its major tributary, the Jacks Fork, that are located in south-central Missouri (fig. 1). The park includes numerous large karst springs including Big Spring, by flow volume this is the largest spring in the National Park system. The National Park Service (NPS) administers a narrow, nearly continuous corridor of land adjacent to the two rivers. Base flow for the rivers is chiefly supplied by groundwater that has traveled through the karst landscape from as far as 38 miles away from the spring (Imes and Frederick, 2002). The watershed is vulnerable to pollution, but the area remains largely rural with few industries. The springs and rivers provide habitat for numerous aquatic species as well as recreational resources for floaters, fishermen, and campers. The ONSR is a major cave park with hundreds of known caves and diverse in-cave resources.</p>","language":"English","publisher":"George Wright Society","collaboration":"National Park Service","usgsCitation":"Weary, D.J., and Grant, V.M., 2014, USGS geologic Mapping and karst research in the Ozark National Scenic Riverways, Missouri, USA: George Wright Society Forum, v. 31, no. 2, p. 157-167.","productDescription":"10 p.","startPage":"157","endPage":"167","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051107","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":322140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":322137,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/10198"}],"country":"United States","state":"Missouri","otherGeospatial":"Ozark National Scenic Rivers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.61361694335938,\n              36.893899678382716\n            ],\n            [\n              -91.61361694335938,\n              37.276238364942955\n            ],\n            [\n              -90.93795776367188,\n              37.276238364942955\n            ],\n            [\n              -90.93795776367188,\n              36.893899678382716\n            ],\n            [\n              -91.61361694335938,\n              36.893899678382716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5752aa3ae4b053f0edd13ebf","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":631760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Victoria M","contributorId":170004,"corporation":false,"usgs":false,"family":"Grant","given":"Victoria","email":"","middleInitial":"M","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":631761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":70173450,"text":"70173450 - 2014 - Modeling spatially-varying landscape change points in species occurrence thresholds","interactions":[],"lastModifiedDate":"2016-06-20T12:48:28","indexId":"70173450","displayToPublicDate":"2015-12-15T02:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Modeling spatially-varying landscape change points in species occurrence thresholds","docAbstract":"<p>Predicting species distributions at scales of regions to continents is often necessary, as large-scale phenomena influence the distributions of spatially structured populations. Land use and land cover are important large-scale drivers of species distributions, and landscapes are known to create species occurrence thresholds, where small changes in a landscape characteristic results in abrupt changes in occurrence. The value of the landscape characteristic at which this change occurs is referred to as a change point. We present a hierarchical Bayesian threshold model (HBTM) that allows for estimating spatially varying parameters, including change points. Our model also allows for modeling estimated parameters in an effort to understand large-scale drivers of variability in land use and land cover on species occurrence thresholds. We use range-wide detection/nondetection data for the eastern brook trout (<i>Salvelinus fontinalis</i>), a stream-dwelling salmonid, to illustrate our HBTM for estimating and modeling spatially varying threshold parameters in species occurrence. We parameterized the model for investigating thresholds in landscape predictor variables that are measured as proportions, and which are therefore restricted to values between 0 and 1. Our HBTM estimated spatially varying thresholds in brook trout occurrence for both the proportion agricultural and urban land uses. There was relatively little spatial variation in change point estimates, although there was spatial variability in the overall shape of the threshold response and associated uncertainty. In addition, regional mean stream water temperature was correlated to the change point parameters for the proportion of urban land use, with the change point value increasing with increasing mean stream water temperature. We present a framework for quantify macrosystem variability in spatially varying threshold model parameters in relation to important large-scale drivers such as land use and land cover. Although the model presented is a logistic HBTM, it can easily be extended to accommodate other statistical distributions for modeling species richness or abundance.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00288.1","usgsCitation":"Wagner, T., and Midway, S.R., 2014, Modeling spatially-varying landscape change points in species occurrence thresholds: Ecosphere, v. 5, no. 11, p. 1-16, https://doi.org/10.1890/ES14-00288.1.","productDescription":"16 p.","startPage":"1","endPage":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056571","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00288.1","text":"Publisher Index Page"},{"id":323996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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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":70135902,"text":"70135902 - 2014 - An applied ontology for semantics associated with surface water land cover","interactions":[],"lastModifiedDate":"2015-11-02T16:40:29","indexId":"70135902","displayToPublicDate":"2015-08-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"An applied ontology for semantics associated with surface water land cover","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Land Use and Land Cover Semantics Principles, Best Practices, and Prospects","language":"English","publisher":"CRC","doi":"10.1201/b18746-8","usgsCitation":"Varanka, D.E., and Usery, E.L., 2014, An applied ontology for semantics associated with surface water land cover, chap. <i>of</i> Land Use and Land Cover Semantics Principles, Best Practices, and Prospects, p. 145-170, https://doi.org/10.1201/b18746-8.","productDescription":"26 p.","startPage":"145","endPage":"170","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059518","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":310968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2015-07-21","publicationStatus":"PW","scienceBaseUri":"56389745e4b0d6133fe72f97","contributors":{"editors":[{"text":"Ahlqvist, Ola","contributorId":149669,"corporation":false,"usgs":false,"family":"Ahlqvist","given":"Ola","email":"","affiliations":[],"preferred":false,"id":579110,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Varanka, Dalia","contributorId":99654,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","affiliations":[],"preferred":false,"id":579111,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Fritz, Steffen","contributorId":149670,"corporation":false,"usgs":false,"family":"Fritz","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":579112,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Janowicz, Krzysztof","contributorId":149671,"corporation":false,"usgs":false,"family":"Janowicz","given":"Krzysztof","email":"","affiliations":[],"preferred":false,"id":579113,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":536989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":579109,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040680,"text":"70040680 - 2014 - Experimental additions of aluminum sulfate and ammonium nitrate to in situ mesocosms to reduce cyanobacterial biovolume and microcystin concentration","interactions":[],"lastModifiedDate":"2020-12-31T19:07:00.566417","indexId":"70040680","displayToPublicDate":"2015-08-09T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Experimental additions of aluminum sulfate and ammonium nitrate to <i>in situ</i> mesocosms to reduce cyanobacterial biovolume and microcystin concentration","title":"Experimental additions of aluminum sulfate and ammonium nitrate to in situ mesocosms to reduce cyanobacterial biovolume and microcystin concentration","docAbstract":"<p><span>Recent studies suggest that nitrogen additions to increase the total nitrogen:total phosphorus (TN:TP) ratio may reduce cyanobacterial biovolume and microcystin concentration in reservoirs. In systems where TP is &gt;100&nbsp;μg/L, however, nitrogen additions to increase the TN:TP ratio could cause ammonia, nitrate, or nitrite toxicity to terrestrial and aquatic organisms. Reducing phosphorus via aluminum sulfate (alum) may be needed prior to nitrogen additions aimed at increasing the TN:TP ratio. We experimentally tested this sequential management approach in large&nbsp;</span><i>in situ</i><span>&nbsp;mesocosms (70.7&nbsp;m</span><sup>3</sup><span>) to examine effects on cyanobacteria and microcystin concentration. Because alum removes nutrients and most seston from the water column, alum treatment reduced both TN and TP, leaving post-treatment TN:TP ratios similar to pre-treatment ratios. Cyanobacterial biovolume was reduced after alum addition, but the percent composition (i.e., relative) cyanobacterial abundance remained unchanged. A single ammonium nitrate (nitrogen) addition increased the TN:TP ratio 7-fold. After the TN:TP ratio was &gt;50 (by weight), cyanobacterial biovolume and abundance were reduced, and chrysophyte and cryptophyte biovolume and abundance increased compared to the alum treatment. Microcystin was not detectable until the TN:TP ratio was &lt;50. Although both treatments reduced cyanobacteria, only the nitrogen treatment seemed to stimulate energy flow from primary producers to zooplankton, which suggests that combining alum and nitrogen treatments may be a viable in-lake management strategy to reduce cyanobacteria and possibly microcystin concentrations in high-phosphorus systems. Additional studies are needed to define best management practices before combined alum and nitrogen additions are implemented as a reservoir management strategy.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2013.876132","usgsCitation":"Harris, T.D., Wilhelm, F.M., Graham, J.L., and Loftin, K.A., 2014, Experimental additions of aluminum sulfate and ammonium nitrate to in situ mesocosms to reduce cyanobacterial biovolume and microcystin concentration: Lake and Reservoir Management, v. 30, no. 1, p. 84-93, https://doi.org/10.1080/10402381.2013.876132.","productDescription":"10 p.","startPage":"84","endPage":"93","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042163","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":311058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willow Creek Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.99130249023436,\n              45.120052841530516\n            ],\n            [\n              -119.99130249023436,\n              45.556371735883125\n            ],\n            [\n              -119.01901245117188,\n              45.556371735883125\n            ],\n            [\n              -119.01901245117188,\n              45.120052841530516\n            ],\n            [\n              -119.99130249023436,\n              45.120052841530516\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-28","publicationStatus":"PW","scienceBaseUri":"563c8bbce4b0831b7d61efec","contributors":{"authors":[{"text":"Harris, Ted D.","contributorId":149758,"corporation":false,"usgs":false,"family":"Harris","given":"Ted","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":579425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilhelm, Frank M.","contributorId":149759,"corporation":false,"usgs":false,"family":"Wilhelm","given":"Frank","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":579426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":579428,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148027,"text":"70148027 - 2014 - Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon","interactions":[],"lastModifiedDate":"2019-04-24T16:25:07","indexId":"70148027","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon","docAbstract":"<p>The rivers of western Oregon have diverse forms and characteristics, with channel substrates ranging from continuous alluvial gravel to bare bedrock. Analysis of several measurable morphologic attributes of 24 valley reaches on 17 rivers provides a basis for comparing nonalluvial and alluvial channels. Key differences are that alluvial reaches have greater bar area, greater migration rates, and show systematic correlation among variables relating grain size to bed-material transport capacity. We relate these differences between channel types to bed-material transport rates as derived from a coupled regional analysis of empirical sediment yield measurements and physical experiments of clast attrition during transport. This sediment supply analysis shows that overall bed-material transport rates for western Oregon are chiefly controlled by (1) lithology and basin slope, which are the key factors for bed-material supply into the stream network, and (2) lithologic control of bed-material attrition from in-transport abrasion and disintegration. This bed-material comminution strongly affects bed-material transport in the study area, reducing transport rates by 50%–90% along the length of the larger rivers in the study area. A comparison of the bed-material transport estimates with the morphologic analyses shows that alluvial gravel-bed channels have systematic and bounding relations between bed-material transport rate and attributes such as bar area and local transport capacity. By contrast, few such relations are evident for nonalluvial rivers with bedrock or mixed-bed substrates, which are apparently more influenced by local controls on channel geometry and sediment supply. At the scale of western Oregon, the physiographic and lithologic controls on the balance between bed-material supply and transport capacity exert far-reaching influence on the distribution of alluvial and nonalluvial channels and their consequently distinctive morphologies and behaviors—differences germane for understanding river response to tectonics and environmental perturbations, as well as for implementing effective restoration and monitoring strategies.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B30831.1","usgsCitation":"O'Connor, J., Mangano, J.F., Anderson, S.A., Wallick, J., Jones, K.L., and Keith, M., 2014, Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon: GSA Bulletin, v. 126, no. 3-4, p. 377-397, https://doi.org/10.1130/B30831.1.","productDescription":"21 p.","startPage":"377","endPage":"397","ipdsId":"IP-042839","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":337807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.75,\n              46.75\n            ],\n            [\n              -119,\n              46.75\n            ],\n            [\n              -119,\n              39.5\n            ],\n            [\n              -124.75,\n              39.5\n            ],\n            [\n              -124.75,\n              46.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"3-4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-07","publicationStatus":"PW","scienceBaseUri":"58ccf59ce4b0849ce97f0ce0","contributors":{"authors":[{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":546857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, Joseph F. 0000-0003-4213-8406 jmangano@usgs.gov","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":4722,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph","email":"jmangano@usgs.gov","middleInitial":"F.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Scott A. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":150073,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":684957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. 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,{"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":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research 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":70041828,"text":"70041828 - 2014 - Quantifying and valuing ecosystem services: An application of ARIES to the San Pedro River basin, USA","interactions":[],"lastModifiedDate":"2015-10-29T13:44:44","indexId":"70041828","displayToPublicDate":"2015-06-08T08:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Quantifying and valuing ecosystem services: An application of ARIES to the San Pedro River basin, USA","docAbstract":"<p>A large body of research exists that identifies and values ecosystem services - the benefits that ecosystems provide to humans (MA, 2005) - and their underlying ecological processes. However, the development of software decision support tools that integrate ecology, economics and geography that can be independently used within the public, private, academic and NGO sectors is a more recent phenomenon (Ruhl et al., 2007; Daily et al., 2009). Spurred by growing demand for more sophisticated analysis of the social and economic consequences of land management decisions, the US Department of Interior - Bureau of Land Management (BLM) launched a pilot project with the US Geological Survey (USGS) to assess the usefulness and feasibility of ecosystem service assessment and valuation tools to provide inputs to decision-making. The project analysed ecosystem services in the US portion of the San Pedro River watershed, which includes the BLM-managed San Pedro Riparian National Conservation Area (SPRNCA), to improve the understanding of complex social and ecological relationships that transcend administrative divisions. The BLM manages some 99 million hectares, primarily in the western United States, and 283 million hectares of sub-surface mineral estate. BLM's multiple-use mission requires that it appropriately balance non-extractive uses such as habitat conservation, recreation and archaeological heritage protection and the extractive use of resources such as timber, oil and gas, coal, uranium, and other minerals.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook on the Economics of Ecosystem Services and Biodiversity","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elgar","doi":"10.4337/9781781951514","usgsCitation":"Bagstad, K.J., Semmens, D.J., Villa, F., and Johnson, G., 2014, Quantifying and valuing ecosystem services: An application of ARIES to the San Pedro River basin, USA, chap. 10 <i>of</i> Handbook on the Economics of Ecosystem Services and Biodiversity, p. 169-192, https://doi.org/10.4337/9781781951514.","productDescription":"24 p.","startPage":"169","endPage":"192","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039016","costCenters":[],"links":[{"id":310774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.70898437499999,\n              31.3348710339506\n            ],\n            [\n              -111.70898437499999,\n              32.67174887226337\n            ],\n            [\n              -109.44580078125,\n              32.67174887226337\n            ],\n            [\n              -109.44580078125,\n              31.3348710339506\n            ],\n            [\n              -111.70898437499999,\n              31.3348710339506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334340e4b048076347eedc","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":578715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":578716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villa, Ferdinando","contributorId":84249,"corporation":false,"usgs":true,"family":"Villa","given":"Ferdinando","affiliations":[],"preferred":false,"id":515906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Gary","contributorId":119193,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"","affiliations":[],"preferred":false,"id":515907,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70100260,"text":"70100260 - 2014 - Status of important prey fishes in the U.S. waters of Lake Ontario, 2013: Introduction and methods","interactions":[],"lastModifiedDate":"2020-03-05T12:19:16","indexId":"70100260","displayToPublicDate":"2015-05-28T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of important prey fishes in the U.S. waters of Lake Ontario, 2013: Introduction and methods","docAbstract":"<p>Lake Ontario has a mean depth of 86 m (282 ft) and a maximum depth of 244 m (801 ft) (Herdendorf 1982). The southern, New York portion of the lake has the deepest water (Figure 1). In New York waters, about 67% of the lake is &lt;160 m (525 ft) deep and about 82% of the lake is &lt;180 m (591 ft) deep. The U.S. Geological Survey (USGS) and New York State Department of Environmental Conservation (NYSDEC) have cooperatively assessed Lake Ontario prey fishes each year since 1978. Bottom trawl assessments were initially focused on Alewife <i>Alosa pseudoharengus</i> (April), Rainbow Smelt <i>Osmerus mordax</i> (June), and Slimy Sculpin <i>Cottus cognatus</i> (October). Seasonal survey timing corresponded to the peak catches in 1972 when collections were made every month May to October (Owens et al. 2003). Twelve transects were established at approximately 25-km intervals along the U.S. shoreline (Figure 2). Alewife assessment was conducted at all transects, Rainbow Smelt assessment at all transects except Fair Haven, and six transects representing eastern, southern, and western lake areas were sampled for Slimy Sculpin (Figure 2). Changes in the Lake Ontario ecosystem (species invasion, oligotrophication, native species rebound) require ongoing evaluation of current methods which sometimes necessitate redistribution of trawl effort, or changes in sampling designs and/or gear. For instance, the spring Alewife assessment is now used also to assess invasive Round Goby <i>Neogobius melanostomus</i> population dynamics. Likewise, the fall benthic fish assessment (formerly sculpin assessment) now also tracks dynamics of the rebounding native Deepwater Sculpin <i>Myoxocephalus thompsonii</i> population, the apparent declining population of Slimy Sculpin, and fall distribution of Round Goby.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2013 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 26-27, 2014","conferenceLocation":"Windsor, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Walsh, M., Weidel, B., and Connerton, M., 2014, Status of important prey fishes in the U.S. waters of Lake Ontario, 2013: Introduction and methods: NYSDEC Lake Ontario 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,{"id":70146521,"text":"70146521 - 2014 - Upwelling rebound, ephemeral secondary pycnoclines, and the creation of a near-bottom wave guide over the Monterey Bay continental shelf","interactions":[],"lastModifiedDate":"2019-12-11T08:37:01","indexId":"70146521","displayToPublicDate":"2015-04-16T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Upwelling rebound, ephemeral secondary pycnoclines, and the creation of a near-bottom wave guide over the Monterey Bay continental shelf","docAbstract":"<p><span>Several sequential upwelling events were observed in fall 2012, using measurements from the outer half of the continental shelf in Monterey Bay, during which the infiltration of dense water onto the shelf created a secondary, near-bottom pycnocline. 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,{"id":70055628,"text":"pp1708G.1 - 2014 - Assessment of Appalachian basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System","interactions":[{"subject":{"id":56836,"text":"ofr20041272 - 2004 - Assessment of Appalachian Basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System","indexId":"ofr20041272","publicationYear":"2004","noYear":false,"title":"Assessment of Appalachian Basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System"},"predicate":"SUPERSEDED_BY","object":{"id":70055628,"text":"pp1708G.1 - 2014 - Assessment of Appalachian basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System","indexId":"pp1708G.1","publicationYear":"2014","noYear":false,"chapter":"G.1","title":"Assessment of Appalachian basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System"},"id":1},{"subject":{"id":70055628,"text":"pp1708G.1 - 2014 - Assessment of Appalachian basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System","indexId":"pp1708G.1","publicationYear":"2014","noYear":false,"chapter":"G.1","title":"Assessment of Appalachian basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System"},"predicate":"IS_PART_OF","object":{"id":70143874,"text":"pp1708 - 2014 - Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character","indexId":"pp1708","publicationYear":"2014","noYear":false,"title":"Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character"},"id":2}],"isPartOf":{"id":70143874,"text":"pp1708 - 2014 - Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character","indexId":"pp1708","publicationYear":"2014","noYear":false,"title":"Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character"},"lastModifiedDate":"2020-05-14T19:08:46.108531","indexId":"pp1708G.1","displayToPublicDate":"2015-03-27T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1708","chapter":"G.1","title":"Assessment of Appalachian basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System","docAbstract":"<p data-canvas-width=\"388.55833333333317\" data-angle=\"0\" data-font-name=\"g_font_6\">The Carboniferous Coal-bed Gas Total Petroleum System, which lies within the central and southern Appalachian basin, consists of the following five assessment units (AUs): (1) the Pocahontas Basin AU in southern West Virginia, eastern Kentucky, and southwestern Virginia; (2) the Central Appalachian Shelf AU in Tennessee, eastern Kentucky, and southern West Virginia; (3) the East Dunkard (Folded) AU in western Pennsylvania and northern West Virginia; (4) the West Dunkard (Unfolded) AU in Ohio and adjacent parts of Pennsylvania and West Virginia; and (5) the Appalachian Anthracite and Semi-Anthracite AU in Pennsylvania and Virginia. 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In places, burial by thrust sheets (thrust loading) in the Valley and Ridge physiographic province may have resulted in the additional generation of thermogenic coalbed methane in the Pennsylvania Anthracite region and in the semianthracite deposits of Virginia and West Virginia, although other explanations have been offered.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coal and petroleum resources in the Appalachian basin: distribution, geologic framework, and geochemical character (Professional Paper 1708)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1708G.1","usgsCitation":"Milici, R.C., 2014, Assessment of Appalachian basin oil and gas resources: Carboniferous Coal-bed Gas Total Petroleum System: U.S. Geological Survey Professional Paper 1708, vii, 61 p., https://doi.org/10.3133/pp1708G.1.","productDescription":"vii, 61 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,{"id":70168387,"text":"70168387 - 2014 - Social-ecological resilience and law in the Platte River Basin","interactions":[],"lastModifiedDate":"2017-10-18T11:27:40","indexId":"70168387","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5517,"text":"Idaho Law Review","active":true,"publicationSubtype":{"id":10}},"title":"Social-ecological resilience and law in the Platte River Basin","docAbstract":"<p>Efficiency and resistance to rapid change are hallmarks of both the judicial and legislative branches of the United States government. These defining characteristics, while bringing stability and predictability, pose challenges when it comes to managing dynamic natural systems. As our understanding of ecosystems improves, we must devise ways to account for the non-linearities and uncertainties rife in complex social-ecological systems. This paper takes an in-depth look at the Platte River basin over time to explore how the system's resilience—the capacity to absorb disturbance without losing defining structures and functions—responds to human driven change. Beginning with pre-European settlement, the paper explores how water laws, policies, and infrastructure influenced the region's ecology and society. While much of the post-European development in the Platte River basin came at a high ecological cost to the system, the recent tri-state and federal collaborative Platte River Recovery and Implementation Program is a first step towards flexible and adaptive management of the social-ecological system. Using the Platte River basin as an example, we make the case that inherent flexibility and adaptability are vital for the next iteration of natural resources management policies affecting stressed basins. We argue that this can be accomplished by nesting policy in a resilience framework, which we describe and attempt to operationalize for use across systems and at different levels of jurisdiction. As our current natural resources policies fail under the weight of looming global change, unprecedented demand for natural resources, and shifting land use, the need for a new generation of adaptive, flexible natural resources govern-ance emerges. Here we offer a prescription for just that, rooted in the social , ecological and political realities of the Platte River basin. <br><i>Social-Ecological Resilience and Law in the Platte River Basin (PDF Download Available)</i>. Available from: <a href=\"https://www.researchgate.net/publication/273678974_Social-Ecological_Resilience_and_Law_in_the_Platte_River_Basin\" data-mce-href=\"https://www.researchgate.net/publication/273678974_Social-Ecological_Resilience_and_Law_in_the_Platte_River_Basin\">https://www.researchgate.net/publication/273678974_Social-Ecological_Resilience_and_Law_in_the_Platte_River_Basin</a> [accessed Oct 18 2017].</p>","language":"English","publisher":"Idaho Law Review","usgsCitation":"Birge, H.E., Allen, C.R., Craig, R., Garmestani, A.S., Hamm, J.A., Babbitt, C., Nemec, K.T., and Schlager, E., 2014, Social-ecological resilience and law in the Platte River Basin: Idaho Law Review, v. 51, p. 229-256.","productDescription":"28 p.","startPage":"229","endPage":"256","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061372","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":317951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bdbed2e4b06458514aeef1","contributors":{"authors":[{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, Robin","contributorId":197368,"corporation":false,"usgs":false,"family":"Craig","given":"Robin","affiliations":[],"preferred":false,"id":713338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713339,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamm, Joseph A.","contributorId":197369,"corporation":false,"usgs":false,"family":"Hamm","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Babbitt, Christina","contributorId":197370,"corporation":false,"usgs":false,"family":"Babbitt","given":"Christina","email":"","affiliations":[],"preferred":false,"id":713341,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nemec, Kristine T.","contributorId":24650,"corporation":false,"usgs":true,"family":"Nemec","given":"Kristine","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schlager, Edella","contributorId":197371,"corporation":false,"usgs":false,"family":"Schlager","given":"Edella","email":"","affiliations":[],"preferred":false,"id":713343,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70157479,"text":"70157479 - 2014 - Late 20th Century benthic foraminiferal distribution in Central San Francisco Bay, California: Influence of the <i>Trochammina hadai</i> invasion","interactions":[],"lastModifiedDate":"2019-11-12T11:50:09","indexId":"70157479","displayToPublicDate":"2015-01-28T18:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Late 20th Century benthic foraminiferal distribution in Central San Francisco Bay, California: Influence of the <i>Trochammina hadai</i> invasion","docAbstract":"<p>The distribution of foraminifera in most of San Francisco Bay is well documented, but this is not the case for the subembayment known as Central Bay. To resolve this, 55 grab samples obtained in 1998 were analyzed to characterize the foraminiferal fauna in the surface sediments of the area. Thirty-five species were identified, including the invasive Japanese species <i>Trochammina hadai</i> that was introduced into the bay in the early 1980s. A cluster analysis of the samples from Central Bay produced three groups (biofacies) and one outlier. The Shallow Subtidal Biofacies is characterized by a marsh to shallow-subtidal agglutinated fauna, dominated by <i>T. hadai</i> but also including<i> T. inflata</i>, <i>T. macrescens</i>, <i>Haplophragmoides subinvolutum</i>, and <i>Miliammina fusca</i>. The Intermediate Subtidal Biofacies, the Intermediate Subtidal Outlier, and the Deep Subtidal Biofacies are dominated by calcareous taxa, most notably<i> Ammonia tepida</i>, <i>Elphidium excavatum</i>, and <i>Elphidiella hannai</i>. <i>Ammonia tepida</i> is most abundant in the warmer, intermediate depths of eastern Central Bay, abundances of <i>E. excavatum</i> peak in the cooler estuarine water near Alcatraz Island, and <i>E. hannai</i> thrives in the cold water west of Angel Island in a transitional setting between the deep subtidal estuarine and the nearshore marine environments. The recovery of oceanic species as far east as Angel Island indicate that western Central Bay is the most marine-influenced region of San Francisco Bay.</p>\n<p>Samples collected from 1965 onward were also compared with those from 1998 to investigate how the distribution of benthic foraminifera in Central Bay has changed over the latter half of the 20th Century, particularly in response to the invasion by <i>Trochammina hadai</i>. In 1998, <i>T. hadai</i> was recovered at 46 of 55 sites in Central Bay, comprising from 0.3 to 97% (mean = 23%) of the foraminiferal fauna. With the species&rsquo; affiliation for shallow environments, it is not unexpected that it dominated the fauna of the Shallow Subtidal Biofacies (68-97%, mean = 77%) and was also a significant component of the Intermediate Subtidal Biofacies (7-51%, averaging 28%). In the deeper waters west of Alcatraz Island, the abundance of <i>T. hadai</i> was significantly less (mean = 8%), most likely reflecting allochthonous specimens that were the result of post-mortem transport. A cluster analysis clearly distinguishes pre- and post-invasion biofacies, illustrating how dominant <i>T. hadai</i> has become in Central Bay.</p>","language":"English","publisher":"MicroPress","publisherLocation":"New York, NY","usgsCitation":"McGann, M., 2014, Late 20th Century benthic foraminiferal distribution in Central San Francisco Bay, California: Influence of the <i>Trochammina hadai</i> invasion: Micropaleontology, v. 60, no. 6, p. 519-542.","productDescription":"24 p.","startPage":"519","endPage":"542","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018614","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308501,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-313/article-1904","text":"Index Page","linkFileType":{"id":5,"text":"html"},"description":"Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.18969726562499,\n              37.16031654673677\n            ],\n            [\n              -121.56372070312499,\n              37.16031654673677\n            ],\n            [\n              -121.56372070312499,\n              38.28993659801203\n            ],\n            [\n              -123.18969726562499,\n              38.28993659801203\n            ],\n            [\n              -123.18969726562499,\n              37.16031654673677\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"60","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64d5e4b058f706e536d4","contributors":{"authors":[{"text":"McGann, Mary L. 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":147188,"corporation":false,"usgs":true,"family":"McGann","given":"Mary L.","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":573273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70133424,"text":"cir1357 - 2014 - The quality of our Nation's waters: Water quality in the Denver Basin aquifer system, Colorado, 2003-05","interactions":[],"lastModifiedDate":"2026-04-29T16:49:08.19336","indexId":"cir1357","displayToPublicDate":"2015-01-21T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1357","title":"The quality of our Nation's waters: Water quality in the Denver Basin aquifer system, Colorado, 2003-05","docAbstract":"<p><span>Availability and sustainability of groundwater in the Denver Basin aquifer system depend on water quantity and water quality. The Denver Basin aquifer system underlies about 7,000 square miles of the Great Plains in eastern Colorado and is the primary or sole source of water for domestic and public supply in many areas of the basin. Use of groundwater from the Denver Basin sandstone aquifers has been instrumental for development of the south Denver metropolitan area and other areas, but has resulted in a decline in water levels in some parts of the system. Human activities in many areas have adversely affected the quality of water in the aquifer system, especially the shallow parts. Groundwater in deeper parts of the system used for drinking water, once considered isolated from the effects of overlying land use, is increasingly vulnerable to contamination from human activities and geologic materials. Availability and sustainability of high-quality groundwater are vital to the economic health of the Denver Basin area.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1357","usgsCitation":"Bauch, N.J., Musgrove, M., Mahler, B., and Paschke, S.S., 2014, The quality of our Nation's waters: Water quality in the Denver Basin aquifer system, Colorado, 2003-05: U.S. Geological Survey Circular 1357, Report: vii, 100 p.; Appendix 2, https://doi.org/10.3133/cir1357.","productDescription":"Report: vii, 100 p.; Appendix","numberOfPages":"113","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2005-12-31","ipdsId":"IP-056275","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":297418,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/circ/1357/appendix/circ1357appendix2.xlsx","text":"Appendix 2","size":"548 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2","linkHelpText":"Table A2–1.  Water-quality properties and constituents analyzed. Table A2–2.  Water-quality data for samples collected Readme.txt"},{"id":297417,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1357/pdf/circ1357.pdf","size":"15.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297419,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1357/"},{"id":297420,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1357.jpg"},{"id":503638,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_101439.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Denver Basin Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.99609375,\n              38.634036452919226\n            ],\n            [\n              -105.99609375,\n              40.51379915504413\n            ],\n            [\n              -103.29345703125,\n              40.51379915504413\n            ],\n            [\n              -103.29345703125,\n              38.634036452919226\n            ],\n            [\n              -105.99609375,\n              38.634036452919226\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publicComments":"National Water-Quality Assessment Program","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac1e4b08de9379b31da","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":538872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":1316,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":538873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":538874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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