{"pageNumber":"702","pageRowStart":"17525","pageSize":"25","recordCount":68919,"records":[{"id":70007093,"text":"sir20115226 - 2011 - Effects of brush management on the hydrologic budget and water quality in and adjacent to Honey Creek State Natural Area, Comal County, Texas, 2001-10","interactions":[],"lastModifiedDate":"2016-08-11T15:15:12","indexId":"sir20115226","displayToPublicDate":"2012-01-09T08:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5226","title":"Effects of brush management on the hydrologic budget and water quality in and adjacent to Honey Creek State Natural Area, Comal County, Texas, 2001-10","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service, the Edwards Region Grazing Lands Conservation Initiative, the Texas State Soil and Water Conservation Board, the San Antonio River Authority, the Edwards Aquifer Authority, Texas Parks and Wildlife, the Guadalupe Blanco River Authority, and the San Antonio Water System, evaluated the hydrologic effects of ashe juniper (<i>Juniperus ashei</i>) removal as a brush management conservation practice in and adjacent to the Honey Creek State Natural Area in Comal County, Tex. By removing the ashe juniper and allowing native grasses to reestablish in the area as a brush management conservation practice, the hydrology in the watershed might change. Using a simplified mass balance approach of the hydrologic cycle, the incoming rainfall was distributed to surface water runoff, evapotranspiration, or groundwater recharge. After hydrologic data were collected in adjacent watersheds for 3 years, brush management occurred on the treatment watershed while the reference watershed was left in its original condition. Hydrologic data were collected for another 6 years. Hydrologic data include rainfall, streamflow, evapotranspiration, and water quality. Groundwater recharge was not directly measured but potential groundwater recharge was calculated using a simplified mass balance approach. The resulting hydrologic datasets were examined for differences between the watersheds and between pre- and post-treatment periods to assess the effects of brush management. The streamflow to rainfall relation (expressed as event unit runoff to event rainfall relation) did not change between the watersheds during pre- and post-treatment periods. The daily evapotranspiration rates at the reference watershed and treatment watershed sites exhibited a seasonal cycle during the pre- and post-treatment periods, with intra- and interannual variability. Statistical analyses indicate the mean difference in daily evapotranspiration rates between the two watershed sites is greater during the post-treatment than the pre-treatment period. Average annual rainfall, streamflow, evapotranspiration, and potential groundwater-recharge conditions were incorporated into a single hydrologic budget (expressed as a percentage of the average annual rainfall) applied to each watershed before and after treatment to evaluate the effects of brush management. During the post-treatment period, the percent average annual unit runoff in the reference watershed was similar to that in the treatment watershed, however, the difference in percentages of average annual evapotranspiration and potential groundwater recharge were more appreciable between the reference and treatment watersheds than during the pre-treatment period. Using graphical comparisons, no notable differences in major ion or nutrient concentrations were found between samples collected at the reference watershed (site 1C) and treatment watershed (site 2C) during pre- and post-treatment periods. Suspended-sediment loads were calculated from samples collected at sites 1C and 2T. The relation between suspended-sediment loads and streamflow calculated from samples collected from sites 1C and 2T did not exhibit a statistically significant difference during the pre-treatment period, whereas during the post-treatment period, relation between suspended-sediment loads and streamflow did exhibit a statistically significant difference. The suspended-sediment load to streamflow relations indicate that for the same streamflow, the suspended-sediment loads calculated from site 2T were generally less than suspended-sediment loads calculated from site 1C during the post-treatment period.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115226","collaboration":"In cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service, the Edwards Region Grazing Lands Conservation Initiative, the Texas State Soil and Water Conservation Board, the San Antonio River Authority, the Edwards Aquifer Authority, Texas Parks and Wildlife, the Guadalupe Blanco River Authority, and the San Antonio Water System","usgsCitation":"Banta, J., and Slattery, R.N., 2011, Effects of brush management on the hydrologic budget and water quality in and adjacent to Honey Creek State Natural Area, Comal County, Texas, 2001-10: U.S. Geological Survey Scientific Investigations Report 2011-5226, viii, 35 p.; Appendices Downloads, https://doi.org/10.3133/sir20115226.","productDescription":"viii, 35 p.; Appendices Downloads","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116765,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5226.gif"},{"id":112435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5226/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Comal","otherGeospatial":"Honey Creek State Natural Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.96666666666667,29.083333333333332 ], [ -98.96666666666667,30.166666666666668 ], [ -98,30.166666666666668 ], [ -98,29.083333333333332 ], [ -98.96666666666667,29.083333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a069de4b0c8380cd5132c","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":78863,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","affiliations":[],"preferred":false,"id":355804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003359,"text":"70003359 - 2011 - Tidal Boundary Conditions in SEAWAT","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70003359","displayToPublicDate":"2012-01-08T15:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Tidal Boundary Conditions in SEAWAT","docAbstract":"SEAWAT, a U.S. Geological Survey groundwater flow and transport code, is increasingly used to model the effects of tidal motion on coastal aquifers. Different options are available to simulate tidal boundaries but no guidelines exist nor have comparisons been made to identify the most effective approach. We test seven methods to simulate a sloping beach and a tidal flat. The ocean is represented in one of the three ways: directly using a high hydraulic conductivity (high-<i>K</i>) zone and indirect simulation via specified head boundaries using either the General Head Boundary (GHB) or the new Periodic Boundary Condition (PBC) package. All beach models simulate similar water fluxes across the upland boundary and across the sediment-water interface although the ratio of intertidal to subtidal flow is different at low tide. Simulating a seepage face results in larger intertidal fluxes and influences near-shore heads and salinity. Major differences in flow occur in the tidal flat simulations. Because SEAWAT does not simulate unsaturated flow the water table only rises via flow through the saturated zone. This results in delayed propagation of the rising tidal signal inland. Inundation of the tidal flat is delayed as is flow into the aquifer across the flat. This is severe in the high-<i>K</i> and PBC models but mild in the GHB models. Results indicate that any of the tidal boundary options are fine if the ocean-aquifer interface is steep. However, as the slope of that interface decreases, the high-<i>K</i> and PBC approaches perform poorly and the GHB boundary is preferable.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Ground Water Association","publisherLocation":"Westerville, OH","doi":"10.1111/j.1745-6584.2010.00788.x","usgsCitation":"Mulligan, A.E., Langevin, C., and Post, V., 2011, Tidal Boundary Conditions in SEAWAT: Ground Water, v. 49, no. 6, p. 866-879, https://doi.org/10.1111/j.1745-6584.2010.00788.x.","productDescription":"14 p.","startPage":"866","endPage":"879","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":112481,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2010.00788.x","linkFileType":{"id":5,"text":"html"}},{"id":204240,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-01-28","publicationStatus":"PW","scienceBaseUri":"505bb35fe4b08c986b325d64","contributors":{"authors":[{"text":"Mulligan, Ann E.","contributorId":69290,"corporation":false,"usgs":true,"family":"Mulligan","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":347011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian","contributorId":13365,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","affiliations":[],"preferred":false,"id":347009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post, Vincent","contributorId":55953,"corporation":false,"usgs":true,"family":"Post","given":"Vincent","email":"","affiliations":[],"preferred":false,"id":347010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003859,"text":"70003859 - 2011 - The relation of harvesting intensity to changes in soil, soil water, and stream chemistry in a northern hardwood forest, Catskill Mountains, USA","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"70003859","displayToPublicDate":"2012-01-08T11:18:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The relation of harvesting intensity to changes in soil, soil water, and stream chemistry in a northern hardwood forest, Catskill Mountains, USA","docAbstract":"Previous studies have shown that clearcutting of northern hardwood forests mobilizes base cations, inorganic monomeric aluminum (Al<sub>im</sub>), and nitrate (NO<sub>3</sub><sup>-</sup><sub>-</sub>N) from soils to surface waters, but the effects of partial harvests on NO<sub>3</sub><sup>-</sup><sub>-</sub>N have been less frequently studied. In this study we describe the effects of a series of partial harvests of varying proportions of basal area removal (22%, 28% and 68%) on Al<sub>im</sub>, calcium (Ca<sup>2+</sup>), and NO<sub>3</sub><sup>-</sup><sub>-</sub>N concentrations in soil extracts, soil water, and surface water in the Catskill Mountains of New York, USA. Increases in NO<sub>3</sub><sup>-</sup><sub>-</sub>N concentrations relative to pre-harvest values were observed within a few months after harvest in soils, soil water, and stream water for all three harvests. Increases in Al<sub>im</sub> and Ca<sup>2+</sup> concentrations were also evident in soil water and stream water over the same time period for all three harvests. The increases in Al<sub>im</sub>, Ca<sup>2+</sup>, and NO<sub>3</sub><sup>-</sup><sub>-</sub>N concentrations in the 68% harvest were statistically significant as measured by comparing the 18-month pre-harvest period with the 18-month post-harvest period, with fewer significant responses in the two harvests of lowest intensity. All three solutes returned to pre-harvest concentrations in soil water and stream water in the two lowest intensity harvests in 2&ndash;3 years compared to a full 3 years in the 68% harvest. When the results of this study were combined with those of a previous nearby clearcut and 40% harvest, the post-harvest increases in NO<sub>3</sub><sup>-</sup><sub>-</sub>N concentrations in stream water and soil water suggest a harvesting level above which the relation between concentration and harvest intensity changes; there was a greater change in concentration per unit change in harvest intensity when basal area removal was greater than 40%. These results indicate that the deleterious effects on aquatic ecosystems previously demonstrated for intensive harvests in northern hardwood forests of northeastern North America that receive high levels of atmospheric N deposition can be greatly diminished as harvesting intensity decreases below 40?8%. These results await confirmation through additional incremental forest harvest studies at other locations throughout the world that receive high levels of atmospheric N deposition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.foreco.2011.01.036","usgsCitation":"Siemion, J., Burns, D.A., Murdoch, P.S., and Germain, R.H., 2011, The relation of harvesting intensity to changes in soil, soil water, and stream chemistry in a northern hardwood forest, Catskill Mountains, USA: Forest Ecology and Management, v. 261, no. 9, p. 1510-1519, https://doi.org/10.1016/j.foreco.2011.01.036.","productDescription":"10 p.","startPage":"1510","endPage":"1519","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":112472,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.foreco.2011.01.036","linkFileType":{"id":5,"text":"html"}},{"id":204372,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Catskill Mountains","volume":"261","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baf0de4b08c986b3244fc","contributors":{"authors":[{"text":"Siemion, Jason jsiemion@usgs.gov","contributorId":3011,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":349181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":349179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":349180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germain, Rene H.","contributorId":67211,"corporation":false,"usgs":true,"family":"Germain","given":"Rene","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":349182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007120,"text":"70007120 - 2011 - Nest survival of American Coots relative to grazing, burning, and water depths","interactions":[],"lastModifiedDate":"2017-08-31T13:42:01","indexId":"70007120","displayToPublicDate":"2012-01-08T09:58:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Nest survival of American Coots relative to grazing, burning, and water depths","docAbstract":"<p><span>Water and emergent vegetation are key features influencing nest site selection and success for many marsh-nesting waterbirds. Wetland management practices such as grazing, burning, and water-level manipulations directly affect these features and can influence nest survival. We used model selection and before-after-control-impact approaches to evaluate the effects of water depth and four common land-management practices or treatments, i.e., summer grazing, fall grazing, fall burning, and idle (no active treatment) on nest survival of American coots (</span><i>Fulica americana</i><span>) nesting at Grays Lake, a large montane wetland in southeast Idaho. The best model included the variables year × treatment, and quadratic functions of date, water depth, and nest age; height of vegetation at the nest did not improve the best model. However, results from the before-after-control-impact analysis indicate that management practices affected nest success via vegetation and involved interactions of hydrology, residual vegetation, and habitat composition. Nest success in idled fields changed little between pre- and post-treatment periods, whereas nest success declined in fields that were grazed or burned, with the most dramatic declines the year following treatments. The importance of water depth may be amplified in this wetland system because of rapid water-level withdrawal during the nesting season. Water and land-use values for area ranchers, management for nesting waterbirds, and long-term wetland function are important considerations in management of water levels and vegetation.</span></p>","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-00472-060201","usgsCitation":"Austin, J., and Buhl, D., 2011, Nest survival of American Coots relative to grazing, burning, and water depths: Avian Conservation and Ecology, v. 6, no. 2, p. 1-14, https://doi.org/10.5751/ACE-00472-060201.","productDescription":"Article 1; 14 p.","startPage":"1","endPage":"14","onlineOnly":"N","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474786,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-00472-060201","text":"Publisher Index Page"},{"id":204353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.49818420410156,\n              42.98857645832184\n            ],\n            [\n              -111.49818420410156,\n              43.14258116631987\n            ],\n            [\n              -111.37733459472656,\n              43.14258116631987\n            ],\n            [\n              -111.37733459472656,\n              42.98857645832184\n            ],\n            [\n              -111.49818420410156,\n              42.98857645832184\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a64a3e4b0c8380cd72a07","contributors":{"authors":[{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":355866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":355865,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70098950,"text":"70098950 - 2011 - Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research","interactions":[],"lastModifiedDate":"2022-12-29T16:20:43.854976","indexId":"70098950","displayToPublicDate":"2012-01-05T13:40:08","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"28","title":"Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research","docAbstract":"The focus of this chapter was to summarize the advances made over last 40+ years, as reported in various chapters of this book, in understanding, modeling, and mapping terrestrial vegetation using hyperspectral remote sensing (or imaging spectroscopy) using sensors that are ground-based, truck-mounted, airborne, and spaceborne. As we have seen in various chapters of this book and synthesized in this chapter, the advances made include: (a) significantly improved characterization and modeling of a wide array of biophysical and biochemical properties of vegetation, (b) ability to discriminate plant species and vegetation types with high degree of accuracies (c) reducing uncertainties in determining net primary productivity or carbon assessments from terrestrial vegetation, (d) improved crop productivity and water productivity models, (b), (e) ability to access stress resulting from causes such as management practices, pests and disease, water deficit or excess; , and (f) establishing more sensitive wavebands and indices to detect plant water\\moisture content. The advent of spaceborne hyperspectral sensors (e.g., NASA’s Hyperion, ESA’s PROBA, and upcoming NASA’s HyspIRI) and numerous methods and techniques espoused in this book to overcome Hughes phenomenon or data redundancy when handling large volumes of hyperspectral data have generated tremendous interest in advancing our hyperspectral applications knowledge base over larger spatial extent such as region, nation, continent, and globe.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hyperspectral remote sensing of vegetation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Thenkabail, P.S., Lyon, J., and Huete, A., 2011, Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research, chap. 28 <i>of</i> Hyperspectral remote sensing of vegetation, p. 663-688.","productDescription":"26 p.","startPage":"663","endPage":"688","ipdsId":"IP-026613","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd61d7e4b0b290850fdc57","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":509822,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":509820,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":742734,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":491787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":491788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":491789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70098951,"text":"70098951 - 2011 - Advances in hyperspectral remote sensing of vegetation and agricultural croplands","interactions":[],"lastModifiedDate":"2022-12-29T16:29:37.829469","indexId":"70098951","displayToPublicDate":"2012-01-05T13:32:59","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"chapter":"1","title":"Advances in hyperspectral remote sensing of vegetation and agricultural croplands","docAbstract":"<p><span>Recent advances in hyperspectral remote sensing (or imaging spectroscopy) demonstrate a great utility for a variety of land monitoring applications. It is now possible to be diagnostic in sensing species and plant communities using remotely sensed data and to do so in a direct and informed manner using modern tools and analyses. Hyperspectral data analyses are superior to traditional broadband analyses in spectral information. Many investigations explore and document remote sensing of vegetation and agricultural croplands. Some examples include (a) detecting plant stress [1], (b) measuring chlorophyll content of plants [2], (c) identifying small differences in percent of green vegetation cover [3], (d) extracting biochemical variables such as nitrogen and lignin [2,4–6], (e) discriminating land-cover types [7], (f) detecting crop moisture variations [8], (g) sensing subtle variations in leaf pigment concentrations [2,9,10], (h) modeling biophysical and yield characteristics of agricultural crops [6,11,12], (i) improving the detection of changes in sparse vegetation [13], and (j) assessing absolute water content in plant leaves [14]. This is a fairly detailed list but not exhaustive, meant to provide the reader with a measure of the current, proven experimental capabilities, and operational applications, and stimulate investigations of new, ambitious applications.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hyperspectral remote sensing of vegetation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Thenkabail, P.S., Lyon, J., and Huete, A., 2011, Advances in hyperspectral remote sensing of vegetation and agricultural croplands, 34 p.","productDescription":"34 p.","startPage":"3","endPage":"36","ipdsId":"IP-024825","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284322,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b39e4b0b290850f03de","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":509825,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":509823,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":509824,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":491790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":491791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":491792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007084,"text":"ofr20111289 - 2011 - Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ofr20111289","displayToPublicDate":"2012-01-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1289","title":"Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10","docAbstract":"Nebraska's Upper Loup Natural Resources District is currently (2011) participating in the Elkhorn-Loup Model to understand the effect of various groundwater-management scenarios on surface-water resources. During Phase 1 of the Elkhorn-Loup Model, a lack of subsurface geological information in the Upper Loup Natural Resources District, hereafter referred to as the upper Loup study area, was identified as a gap in current knowledge that needed to be addressed. To improve the understanding of the hydrogeology of the upper Loup study area, the U.S. Geological Survey, in cooperation with the Upper Loup Natural Resources District and the University of Nebraska Conservation and Survey Division, collected and described the lithology of drill cuttings from nine test holes, and concurrently collected borehole geophysical data to identify the base of the High Plains aquifer. Surface geophysical data also were collected using time-domain electromagnetic (TDEM) and audio-magnetotelluric (AMT) methods at test-hole locations and between test holes, as a quick, non-invasive means of identifying the base of the High Plains aquifer.\nTest-hole drilling has indicated greater variation in the base-of-aquifer elevation in the western part of the upper Loup study area than in the eastern part reflecting a number of deep paleovalleys incised into the Brule Formation of the White River Group. TDEM measurements within the upper Loup study area were shown to be effective as virtual boreholes in mapping out the base of the aquifer. TDEM estimates of the base of aquifer were in good accordance with existing test-hole data and were able to improve the interpreted elevation and topology of the base of the aquifer. In 2010, AMT data were collected along a profile, approximately 12 miles (19 kilometers) in length, along Whitman Road, in Grant and Cherry Counties. The AMT results along Whitman Road indicated substantial variability in the elevation of the base of the High Plains aquifer and in the distribution of highly permeable zones within the aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111289","collaboration":"Prepared in cooperation with the Upper Loup Natural Resources District and the University of Nebraska Conservation and Survey Division","usgsCitation":"Hobza, C.M., Asch, T., and Bedrosian, P.A., 2011, Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10: U.S. Geological Survey Open-File Report 2011-1289, viii, 37 p.; Tables; Figures, https://doi.org/10.3133/ofr20111289.","productDescription":"viii, 37 p.; Tables; Figures","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":116327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1289.jpg"},{"id":112429,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1289/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","state":"Nebraska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a378ce4b0c8380cd60f78","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":355792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":355790,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007078,"text":"sir20115123 - 2011 - Trends in lake chemistry in response to atmospheric deposition and climate in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming, 1993-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"sir20115123","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5123","title":"Trends in lake chemistry in response to atmospheric deposition and climate in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming, 1993-2009","docAbstract":"In 2010, the U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Forest Service, Air Resource Management, began a study to evaluate long-term trends in lake-water chemistry for 64 high-elevation lakes in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming during 1993 to 2009. The purpose of this report is to describe trends in the chemical composition of these high-elevation lakes. Trends in emissions, atmospheric deposition, and climate variables (air temperature and precipitation amount) are evaluated over a similar period of record to determine likely drivers of changing lake chemistry. Sulfate concentrations in precipitation decreased over the past two decades at high-elevation monitoring stations in the Rocky Mountain region. The trend in deposition chemistry is consistent with regional declines in sulfur dioxide emissions resulting from installation of emission controls at large stationary sources. Trends in nitrogen deposition were not as widespread as those for sulfate. About one-half of monitoring stations showed increases in ammonium concentrations, but few showed significant changes in nitrate concentrations. Trends in nitrogen deposition appear to be inconsistent with available emission inventories, which indicate modest declines in nitrogen emissions in the Rocky Mountain region since the mid-1990s. This discrepancy may reflect uncertainties in emission inventories or changes in atmospheric transformations of nitrogen species that may be affecting deposition processes. Analysis of long-term climate records indicates that average annual mean air temperature minimums have increased from 0.57 to 0.75 &deg;C per decade in mountain areas of the region with warming trends being more pronounced in Colorado. Trends in annual precipitation were not evident over the period 1990 to 2006, although wetter than average years during 1995 to 1997 and drier years during 2001 to 2004 caused a notable decline in precipitation in the middle part of the record.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115123","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service, Air Resource Management","usgsCitation":"Mast, M.A., and Ingersoll, G.P., 2011, Trends in lake chemistry in response to atmospheric deposition and climate in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming, 1993-2009: U.S. Geological Survey Scientific Investigations Report 2011-5123, viii, 44 p., https://doi.org/10.3133/sir20115123.","productDescription":"viii, 44 p.","onlineOnly":"Y","temporalStart":"1992-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5123.png"},{"id":112428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5123/","linkFileType":{"id":5,"text":"html"}}],"projection":"dataUniversal Transverse Mercator project, zone 13","country":"United States","state":"Colorado;Idaho;Utah;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,35 ], [ -117,46 ], [ -104,46 ], [ -104,35 ], [ -117,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb7ebe4b08c986b32757b","contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, George P. gpingers@usgs.gov","contributorId":1469,"corporation":false,"usgs":true,"family":"Ingersoll","given":"George","email":"gpingers@usgs.gov","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007076,"text":"sir20115164 - 2011 - Pathogenic bacteria and microbial-source tracking markers in Brandywine Creek Basin, Pennsylvania and Delaware, 2009-10","interactions":[],"lastModifiedDate":"2019-07-19T09:18:06","indexId":"sir20115164","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5164","title":"Pathogenic bacteria and microbial-source tracking markers in Brandywine Creek Basin, Pennsylvania and Delaware, 2009-10","docAbstract":"The City of Wilmington, Delaware, is in the downstream part of the Brandywine Creek Basin, on the main stem of Brandywine Creek. Wilmington uses this stream, which drains a mixed-land-use area upstream, for its main drinking-water supply. Because the stream is used for drinking water, Wilmington is in need of information about the occurrence and distribution of specific fecally derived pathogenic bacteria (disease-causing bacteria) and their relations to commonly measured fecal-indicator bacteria (FIB), as well as information regarding the potential sources of the fecal pollution and pathogens in the basin. This study focused on five routinely sampled sites within the basin, one each on the West Branch and the East Branch of Brandywine Creek and at three on the main stem below the confluence of the West and East Branches. These sites were sampled monthly for 1 year. Targeted event samples were collected on two occasions during high flow and two occasions during normal flow. On the basis of this study, high flows in the Brandywine Creek Basin were related to increases in FIB densities, and in the frequency of selected pathogen and source markers, in the West Branch and main stem of Brandywine Creek, but not in the East Branch. Water exceeding the moderate fullbody-contact single-sample recreational water-quality criteria (RWQC) for <em>Escherichia coli (E. coli)</em> was more likely to contain selected markers for pathogenic <em>E. coli</em> (<em>eaeA</em>,<em>stx</em><sub>1</sub>, and <em>rfb</em><sub>O157</sub> gene markers) and bovine fecal sources (<em>E. hirae</em> and LTIIa gene markers), whereas samples exceeding the enterococci RWQC were more likely to contain the same pathogenic markers but also were more likely to carry a marker indicative of human source (<em>esp</em> gene marker). On four sample dates, during high flow between October and March, the West Branch was the only observed potential contributor of selected pathogen and bovine source markers to the main stem of Brandywine Creek. Indeed, the <em>stx</em><sub>2</sub> marker, which indicates a highly virulent type of pathogenic <em>E. coli</em>, was found only in the West Branch and main stem at high flow but was not found in the East Branch under similar conditions. However, it must be noted that throughout the entire year of sampling there were occasions, during both high and normal flows, when both the East and West Branches were potential contributors of pathogen and microbial-source tracking markers to the main stem. Therefore, this study indicates that under selected conditions (high flow, October through March), West Branch Brandywine Creek Basin was the most likely source of elevated FIB densities in the main stem. These elevated densities are associated with more frequent detection of selected pathogenic <em>E. coli</em> markers (<em>rfb</em><sub>O157</sub> <em>stx</em><sub>1</sub>) and are associated with MST markers of bovine source. However, during other times of the year, both the West Branch and East Branch Basins are acting as potential sources of FIB and fecally derived pathogens.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115164","collaboration":"Prepared in cooperation with the City of Wilmington, Delaware","usgsCitation":"Duris, J.W., Reif, A.G., Olson, L.E., and Johnson, H., 2011, Pathogenic bacteria and microbial-source tracking markers in Brandywine Creek Basin, Pennsylvania and Delaware, 2009-10: U.S. Geological Survey Scientific Investigations Report 2011-5164, vi, 22 p., https://doi.org/10.3133/sir20115164.","productDescription":"vi, 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":116340,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5164.jpg"},{"id":112426,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5164/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania, Delaware","otherGeospatial":"Brandywine Creek Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,39.666666666666664 ], [ -76,40.166666666666664 ], [ -75.5,40.166666666666664 ], [ -75.5,39.666666666666664 ], [ -76,39.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7597e4b0c8380cd77c26","contributors":{"authors":[{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":355783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reif, Andrew G. 0000-0002-5054-5207 agreif@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-5207","contributorId":2632,"corporation":false,"usgs":true,"family":"Reif","given":"Andrew","email":"agreif@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Leif E. leolson@usgs.gov","contributorId":2108,"corporation":false,"usgs":true,"family":"Olson","given":"Leif","email":"leolson@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":355784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Heather E.","contributorId":207837,"corporation":false,"usgs":false,"family":"Johnson","given":"Heather E.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":744846,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007077,"text":"fs20113084 - 2011 - Response of lake chemistry to atmospheric deposition and climate in selected Class I wilderness areas in the western United States, 1993-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"fs20113084","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3084","title":"Response of lake chemistry to atmospheric deposition and climate in selected Class I wilderness areas in the western United States, 1993-2009","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Forest Service, Air Resource Management, conducted a study to evaluate long-term trends in lake-water chemistry for 64 high-elevation lakes in selected Class I wilderness areas in Colorado, Idaho, Utah, and Wyoming during 1993 to 2009. Understanding how and why lake chemistry is changing in mountain areas is essential for effectively managing and protecting high-elevation aquatic ecosystems. Trends in emissions, atmospheric deposition, and climate variables (air temperature and precipitation amount) were evaluated over a similar period of record. A main objective of the study was to determine if changes in atmospheric deposition of contaminants in the Rocky Mountain region have resulted in measurable changes in the chemistry of high-elevation lakes. A second objective was to investigate linkages between lake chemistry and air temperature and precipitation to improve understanding of the sensitivity of mountain lakes to climate variability.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113084","usgsCitation":"Mast, M.A., 2011, Response of lake chemistry to atmospheric deposition and climate in selected Class I wilderness areas in the western United States, 1993-2009: U.S. Geological Survey Fact Sheet 2011-3084, 6 p., https://doi.org/10.3133/fs20113084.","productDescription":"6 p.","onlineOnly":"Y","temporalStart":"1992-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116342,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3084.gif"},{"id":112427,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3084/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator project, zone 13","country":"United States","state":"Colorado;Idaho;Utah;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,35 ], [ -117,46 ], [ -104,46 ], [ -104,35 ], [ -117,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaa50e4b0c8380cd8627a","contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355787,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006335,"text":"70006335 - 2011 - Analysis of trends in climate, streamflow, and stream temperature in north coastal California","interactions":[],"lastModifiedDate":"2018-03-21T14:41:02","indexId":"70006335","displayToPublicDate":"2012-01-02T06:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Analysis of trends in climate, streamflow, and stream temperature in north coastal California","docAbstract":"<p>As part of a broader project analyzing trends in climate, streamflow, vegetation, salmon, and ocean conditions in northern California national park units, we compiled average monthly air temperature and precipitation data from 73 climate stations, streamflow data from 21 river gaging stations, and limited stream temperature data from salmon-bearing rivers in north coastal California. Many climate stations show a statistically significant increase in both average maximum and average minimum air temperature in early fall and midwinter during the last century. Concurrently, average September precipitation has decreased. In many coastal rivers, summer low flow has decreased and summer stream temperatures have increased, which affects summer rearing habitat for salmonids. Nevertheless, because vegetative cover has also changed during this time period, we cannot ascribe streamflow changes to climate change without first assessing water budgets. Although shifts in the timing of the centroid of runoff have been documented in snowmelt-dominated watersheds in the western United States, this was not the case in lower elevation coastal rivers analyzed in this study.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Observing, studying, and managing for change - Proceedings of the Fourth Interagency Conference on Research in the Watersheds: U.S. Geological Survey Scientific Investigations Report 2011–5169","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"The Fourth Interagency Conference on Research in the Watersheds","conferenceDate":"September 26-30, 2011","conferenceLocation":"Fairbanks, AK","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Madej, M.A., 2011, Analysis of trends in climate, streamflow, and stream temperature in north coastal California, <i>in</i> Observing, studying, and managing for change - Proceedings of the Fourth Interagency Conference on Research in the Watersheds: U.S. Geological Survey Scientific Investigations Report 2011–5169, Fairbanks, AK, September 26-30, 2011, p. 40-45.","productDescription":"6 p.","startPage":"40","endPage":"45","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030349","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":321309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321308,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5169/SIR11-5169_508_Session-1B.pdf","text":"Report","size":"3.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":321310,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5169/"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.25537109375,\n              42.01665183556825\n            ],\n            [\n              -122.420654296875,\n              42.02481360781777\n            ],\n            [\n              -122.15698242187499,\n              40.83874913796459\n            ],\n            [\n              -121.83837890625,\n              39.14710270770074\n            ],\n            [\n              -121.212158203125,\n              38.57393751557591\n            ],\n            [\n              -121.025390625,\n              38.09133660751176\n            ],\n            [\n              -121.2451171875,\n              37.80544394934274\n            ],\n            [\n              -122.23388671874999,\n              37.68382032669382\n            ],\n            [\n              -122.684326171875,\n              37.63163475580643\n            ],\n            [\n              -123.01391601562499,\n              37.76202988573211\n            ],\n            [\n              -123.255615234375,\n              38.14319750166766\n            ],\n            [\n              -123.958740234375,\n              38.69408504756833\n            ],\n            [\n              -124.068603515625,\n              39.32579941789298\n            ],\n            [\n              -124.024658203125,\n              39.740986355883564\n            ],\n            [\n              -124.57397460937499,\n              40.16208338164619\n            ],\n            [\n              -124.49707031249999,\n              40.730608477796636\n            ],\n            [\n              -124.27734374999999,\n              41.178653972331695\n            ],\n            [\n              -124.42016601562499,\n              41.549700145132725\n            ],\n            [\n              -124.51904296875,\n              41.92680320648791\n            ],\n            [\n              -124.25537109375,\n              42.01665183556825\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d643de4b07e28b66834d5","contributors":{"editors":[{"text":"Medley, C. 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,{"id":70171021,"text":"70171021 - 2011 - Potential climate change effects on water tables and pyrite oxidation in headwater catchments in Colorado","interactions":[],"lastModifiedDate":"2016-05-17T12:03:16","indexId":"70171021","displayToPublicDate":"2012-01-02T01:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Potential climate change effects on water tables and pyrite oxidation in headwater catchments in Colorado","docAbstract":"<p>A water, energy, and biogeochemical model (WEBMOD) was constructed to simulate hydrology and pyrite oxidation for the period October 1992 through September 1997. The hydrologic model simulates processes in Loch Vale, a 6.6-km&sup2; granitic watershed that drains the east side of the Continental Divide. Parameters describing pyrite oxidation were derived sulfate concentrations measured in pore water and stream water in Handcart Gulch, a naturally acidic watershed in the Colorado Mineral Belt. Average monthly differences in precipitation and temperature between current and future climates, as predicted by using six global circulation models and three carbondioxide emission scenarios, were input into WEBMOD to identify possible shifts in the quantity and quality of the water flowing from the watershed for the period 2005 through 2100. Initial results suggest that increased air temperatures will result in earlier snowmelt compared to current conditions. Average sulfate concentrations and acidity in streams draining hydrothermally altered terrain may decrease as water tables rise in response to greater overall precipitation and earlier snowmelt, although a net increase of sulfate load was simulated as a result of greater overall discharge. Evapotranspiration is expected to increase but not enough to offset the increase in precipitation.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Observing, studying, and managing for change - Proceedings of the Fourth Interagency Conference on Research in the Watersheds: U.S. Geological Survey Scientific Investigations Report 2011–5169","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"The Fourth Interagency Conference on Research in the Watersheds","conferenceDate":"September 26-30, 2011","conferenceLocation":"Fairbanks, AK","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Webb, R.M., Mast, M.A., Manning, A.H., Clow, D.W., and Campbell, D.H., 2011, Potential climate change effects on water tables and pyrite oxidation in headwater catchments in Colorado, <i>in</i> Observing, studying, and managing for change - Proceedings of the Fourth Interagency Conference on Research in the Watersheds: U.S. Geological Survey Scientific Investigations Report 2011–5169, Fairbanks, AK, September 26-30, 2011, p. 23-33.","productDescription":"11 p.","startPage":"23","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032633","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321301,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5169/SIR11-5169_508_Session-1B.pdf","text":"Report","size":"3.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":321311,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5169/"}],"country":"United States","state":"Colorado","otherGeospatial":"Handcart Gulch, Loch Vale","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.5234375,\n              39.232253141714885\n            ],\n            [\n              -106.5234375,\n              40.95501133048621\n            ],\n            [\n              -105.0677490234375,\n              40.95501133048621\n            ],\n            [\n              -105.0677490234375,\n              39.232253141714885\n            ],\n            [\n              -106.5234375,\n              39.232253141714885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d65fde4b07e28b6684a21","contributors":{"editors":[{"text":"Medley, C. 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Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":629565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Donald H. dhcampbe@usgs.gov","contributorId":1670,"corporation":false,"usgs":true,"family":"Campbell","given":"Donald","email":"dhcampbe@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":629566,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038921,"text":"70038921 - 2011 - Quality of our groundwater resources: Arsenic and fluoride","interactions":[],"lastModifiedDate":"2020-01-21T08:24:17","indexId":"70038921","displayToPublicDate":"2012-01-01T17:36:06","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1816,"text":"Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Quality of our groundwater resources: Arsenic and fluoride","docAbstract":"Groundwater often contains arsenic or fluoride concentrations too high for drinking or cooking. These constituents, often naturally occurring, are not easy to remove. The right combination of natural or manmade conditions can lead to elevated arsenic or fluoride which includes continental source rocks, high alkalinity and pH, reducing conditions for arsenic, high phosphate, high temperature and high silica. Agencies responsible for safe drinking water should be aware of these conditions, be prepared to monitor, and treat if necessary.","language":"English","publisher":"BRGM","usgsCitation":"Nordstrom, D.K., 2011, Quality of our groundwater resources: Arsenic and fluoride: Geosciences, v. 13, p. 82-87.","productDescription":"6 p.","startPage":"82","endPage":"87","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":258183,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a90bfe4b0c8380cd7fef3","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":465251,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038923,"text":"70038923 - 2011 - Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 2. application to hyperspectral image data from the Platte River","interactions":[],"lastModifiedDate":"2012-07-06T01:01:41","indexId":"70038923","displayToPublicDate":"2012-01-01T17:25:29","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 2. application to hyperspectral image data from the Platte River","docAbstract":"This study examined the possibility of mapping depth from optical image data in turbid, sediment-laden channels. Analysis of hyperspectral images from the Platte River indicated that depth retrieval in these environments is feasible, but might not be highly accurate. Four methods of calibrating image-derived depth estimates were evaluated. The first involved extracting image spectra at survey point locations throughout the reach. These paired observations of depth and reflectance were subjected to optimal band ratio analysis (OBRA) to relate (<i>R<sup>2</sup></i> = 0.596) a spectrally based quantity to flow depth. Two other methods were based on OBRA of data from individual cross sections. A fourth strategy used ground-based reflectance measurements to derive an OBRA relation (<i>R<sup>2</sup></i> = 0.944) that was then applied to the image. Depth retrieval accuracy was assessed by visually inspecting cross sections and calculating various error metrics. Calibration via field spectroscopy resulted in a shallow bias but provided relative accuracies similar to image-based methods. Reach-aggregated OBRA was marginally superior to calibrations based on individual cross sections, and depth retrieval accuracy varied considerably along each reach. Errors were lower and observed versus predicted regression <i>R<sup>2</sup></i> values higher for a relatively simple, deeper site than a shallower, braided reach; errors were 1/3 and 1/2 the mean depth for the two reaches. Bathymetric maps were coherent and hydraulically reasonable, however, and might be more reliable than implied by numerical metrics. As an example application, linear discriminant analysis was used to produce a series of depth threshold maps for characterizing shallow-water habitat for roosting cranes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR010592","usgsCitation":"Legleiter, C.J., Kinzel, P.J., and Overstreet, B.T., 2011, Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 2. application to hyperspectral image data from the Platte River: Water Resources Research, v. 47, 21 p.; W09532, https://doi.org/10.1029/2011WR010592.","productDescription":"21 p.; W09532","numberOfPages":"21","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":258180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258171,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR010592","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Platte River","volume":"47","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a0bfde4b0c8380cd529aa","contributors":{"authors":[{"text":"Legleiter, Carl J.","contributorId":85819,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038922,"text":"70038922 - 2011 - Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 1. Field spectroscopy and radiative transfer modeling","interactions":[],"lastModifiedDate":"2021-03-26T21:22:33.593748","indexId":"70038922","displayToPublicDate":"2012-01-01T17:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 1. Field spectroscopy and radiative transfer modeling","docAbstract":"Remote sensing offers an efficient means of mapping bathymetry in river systems, but this approach has been applied primarily to clear-flowing, gravel bed streams. This study used field spectroscopy and radiative transfer modeling to assess the feasibility of spectrally based depth retrieval in a sand-bed river with a higher suspended sediment concentration (SSC) and greater water turbidity. Attenuation of light within the water column was characterized by measuring the amount of downwelling radiant energy at different depths and calculating a diffuse attenuation coefficient, <i>K<sub>d</sub></i>. Attenuation was strongest in blue and near-infrared bands due to scattering by suspended sediment and absorption by water, respectively. Even for red wavelengths with the lowest values of <i>K<sub>d</sub></i>, only a small fraction of the incident light propagated to the bed, restricting the range of depths amenable to remote sensing. Spectra recorded above the water surface were used to establish a strong, linear relationship (<i>R<sup>2</sup></i> = 0.949) between flow depth and a simple band ratio; even under moderately turbid conditions, depth remained the primary control on reflectance. Constraints on depth retrieval were examined via numerical modeling of radiative transfer within the atmosphere and water column. SSC and sensor radiometric resolution limited both the maximum detectable depth and the precision of image-derived depth estimates. Thus, although field spectra indicated that the bathymetry of turbid channels could be remotely mapped, model results implied that depth retrieval in sediment-laden rivers would be limited to shallow depths (on the order of 0.5 m) and subject to a significant degree of uncertainty.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR010591","usgsCitation":"Legleiter, C.J., Kinzel, P.J., and Overstreet, B.T., 2011, Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 1. Field spectroscopy and radiative transfer modeling: Water Resources Research, v. 47, W09531, 19 p., https://doi.org/10.1029/2011WR010591.","productDescription":"W09531, 19 p.","numberOfPages":"19","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":474792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr010591","text":"Publisher Index Page"},{"id":258181,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a0bfce4b0c8380cd529a4","contributors":{"authors":[{"text":"Legleiter, Carl J.","contributorId":85819,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":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":465252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003612,"text":"70003612 - 2011 - Differences in macroinvertebrate community structure in streams and rivers with different hydrologic regimes in the semi-arid Colorado Plateau","interactions":[],"lastModifiedDate":"2017-01-04T13:52:29","indexId":"70003612","displayToPublicDate":"2012-01-01T15:45:27","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3302,"text":"River Systems","active":true,"publicationSubtype":{"id":10}},"title":"Differences in macroinvertebrate community structure in streams and rivers with different hydrologic regimes in the semi-arid Colorado Plateau","docAbstract":"<p><span>Aquatic macroinvertebrates are sensitive to changes in their chemical and physical environment, and as such, serve as excellent indicators of overall ecosystem health. Moreover, temporal and spatial differences in macroinvertebrate community structure can be used to investigate broad issues in aquatic science, such as the hypothesis that changes in climate are likely to have disproportionately large effects on small, intermittent stream ecosystems. We quantified macroinvertebrate community structure and abiotic conditions at ten stream sites with different dominant hydrologic regimes in the Colorado Plateau, ranging from small, intermittent desert streams to large perennial mountain rivers. Considerable differences were observed in community structure between sites with differing hydrologic regimes. Quantitative results of non-metric multidimensional scaling (NMDS) ordination and Spearman rank correlations between physical habitat and macroinvertebrate resemblance matrices indicate that discharge, geomorphic channel unit type (% pools vs. % riffles), percent of substrate composed of sand, and velocity were the subset of measured habitat variables that best explained the differences in macroinvertebrate community structure among sites. Of the 134 taxa identified, nine taxa explained 95 % of the variability in community structure between sites. These results add to a growing base of knowledge regarding the functioning of lotic ecosystems in the Colorado Plateau, and provide timely information on anticipated changes in the structure and function of aquatic ecosystems in response to predicted future environmental conditions.</span></p>","language":"English","publisher":"E. Schweizerbartsche Verlagsbuchhandlung","publisherLocation":"Stuttgart, Germany","doi":"10.1127/1868-5749/2011/019-0017","usgsCitation":"Miller, M.P., and Brasher, A., 2011, Differences in macroinvertebrate community structure in streams and rivers with different hydrologic regimes in the semi-arid Colorado Plateau: River Systems, v. 19, no. 3, p. 225-238, https://doi.org/10.1127/1868-5749/2011/019-0017.","productDescription":"14 p.","startPage":"225","endPage":"238","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":257397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","volume":"19","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a00efe4b0c8380cd4f9d3","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":347954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":347955,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004848,"text":"70004848 - 2011 - If the creeks don't rise: the May 2010 Flood in Nashville","interactions":[],"lastModifiedDate":"2012-06-05T01:01:49","indexId":"70004848","displayToPublicDate":"2012-01-01T14:43:15","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"If the creeks don't rise: the May 2010 Flood in Nashville","docAbstract":"The aftermath, recovery, and lessons of the future following a major flood that inundated the greater Nashville area one year ago are the subjects of this article. The authors discuss what led up to the event, its impacts, and what, if anything, can be done to prevent or diminish the reoccurrence of such flooding in the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Impact","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","publisherLocation":"Middleburg, VA","usgsCitation":"Knight, R., Wolfe, W., and Ladd, D.E., 2011, If the creeks don't rise: the May 2010 Flood in Nashville: Water Resources Impact, v. 13, no. 2, p. 9-12.","productDescription":"4 p.","startPage":"9","endPage":"12","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":257180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","city":"Nashville","volume":"13","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3860e4b0c8380cd61550","contributors":{"authors":[{"text":"Knight, Rodney R. rrknight@usgs.gov","contributorId":2272,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney R.","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladd, David E. 0000-0002-9247-7839 deladd@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7839","contributorId":1646,"corporation":false,"usgs":true,"family":"Ladd","given":"David","email":"deladd@usgs.gov","middleInitial":"E.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351473,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005947,"text":"70005947 - 2011 - The fate and transport of nitrate in shallow groundwater in northwestern Mississippi, USA","interactions":[],"lastModifiedDate":"2021-02-26T15:25:27.891767","indexId":"70005947","displayToPublicDate":"2012-01-01T14:39:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The fate and transport of nitrate in shallow groundwater in northwestern Mississippi, USA","docAbstract":"<p><span>Agricultural contamination of groundwater in northwestern Mississippi, USA, has not been studied extensively, and subsurface fluxes of agricultural chemicals have been presumed minimal. To determine the factors controlling transport of nitrate-N into the Mississippi River Valley alluvial aquifer, a study was conducted from 2006 to 2008 to estimate fluxes of water and solutes for a site in the Bogue Phalia basin (1,250 km</span><sup>2</sup><span>). Water-quality data were collected from a shallow water-table well, a vertical profile of temporary sampling points, and a nearby irrigation well. Nitrate was detected within 4.4 m of the water table but was absent in deeper waters with evidence of reducing conditions and denitrification. Recharge estimates from 6.2 to 10.9 cm/year were quantified using water-table fluctuations, a Cl</span><sup>–</sup><span>&nbsp;tracer method, and atmospheric age-tracers. A mathematical advection-reaction model predicted similar recharge to the aquifer, and also predicted that 15% of applied nitrogen is leached into the saturated zone. With current denitrification and application rates, the nitrate-N front is expected to remain in shallow groundwater, less than 6–9 m deep. Increasing application rates resulting from intensifying agricultural demands may advance the nitrate-N front to 16–23 m, within the zone of groundwater pumping.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10040-011-0748-8","usgsCitation":"Welch, H.L., Green, C.T., and Coupe, R.H., 2011, The fate and transport of nitrate in shallow groundwater in northwestern Mississippi, USA: Hydrogeology Journal, v. 19, no. 6, p. 1239-1252, https://doi.org/10.1007/s10040-011-0748-8.","productDescription":"14 p.","startPage":"1239","endPage":"1252","temporalStart":"2006-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":204235,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.0986328125,\n              32.41706632846282\n            ],\n            [\n              -89.395751953125,\n              32.41706632846282\n            ],\n            [\n              -89.395751953125,\n              35.06597313798418\n            ],\n            [\n              -91.0986328125,\n              35.06597313798418\n            ],\n            [\n              -91.0986328125,\n              32.41706632846282\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-28","publicationStatus":"PW","scienceBaseUri":"505babf6e4b08c986b3231a3","contributors":{"authors":[{"text":"Welch, Heather L. 0000-0001-8370-7711 hllott@usgs.gov","orcid":"https://orcid.org/0000-0001-8370-7711","contributorId":552,"corporation":false,"usgs":true,"family":"Welch","given":"Heather","email":"hllott@usgs.gov","middleInitial":"L.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":353518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353516,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004938,"text":"70004938 - 2011 - The evaluation of a rake method to quantify submersed vegetation in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2021-02-26T15:21:18.971284","indexId":"70004938","displayToPublicDate":"2012-01-01T14:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"The evaluation of a rake method to quantify submersed vegetation in the Upper Mississippi River","docAbstract":"<p><span>A long-handled, double-headed garden rake was used to collect submersed aquatic vegetation (SAV) and compared to in-boat visual inspection to record species presence at 67 individual sites. Six rake subsamples were taken at each site and a rake density rating was given to each species collected in the subsamples. Presence at the site, frequency of occurrence in the six rake samples, and additive density rating (the sum of the six rake density ratings) were quantified for each species at each site. The validity of the indices was tested against biomass data collected by clipping all remaining vegetation from the 67 sites. In the turbid water of the Mississippi River, visual inspection of SAV from boats was ineffective with only 27% of the species detected, while raking retrieved on average 70% of the total number of submersed species in the 67 sites. Presence of species at individual sites was correlated with biomass from&nbsp;</span><i>Stuckenia pectinata</i><span>, while frequency of occurrence and additive density rating were correlated with biomass for species with greater than 21&nbsp;g of total biomass from all sites. The efficiency of the rake to collect biomass varied among species; only 18% of total biomass was captured via raking the site six times. Additive density rating as an index of abundance can be used to detect temporal changes in the same water body; however, cross-species comparison is not encouraged unless the efficiency of the rake has been determined for each species being compared.</span></p>","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10750-011-0817-y","usgsCitation":"Yin, Y., and Kreiling, R.M., 2011, The evaluation of a rake method to quantify submersed vegetation in the Upper Mississippi River: Hydrobiologia, v. 675, no. 1, p. 187-195, https://doi.org/10.1007/s10750-011-0817-y.","productDescription":"9 p.","startPage":"187","endPage":"195","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":204473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Navigation Pool 8, Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.27853393554688,\n              43.56944681061758\n            ],\n            [\n              -91.22291564941406,\n              43.56944681061758\n            ],\n            [\n              -91.22291564941406,\n              43.70759350405294\n            ],\n            [\n              -91.27853393554688,\n              43.70759350405294\n            ],\n            [\n              -91.27853393554688,\n              43.56944681061758\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"675","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-07-19","publicationStatus":"PW","scienceBaseUri":"505babdce4b08c986b323117","contributors":{"authors":[{"text":"Yin, Yao yyin@usgs.gov","contributorId":2170,"corporation":false,"usgs":true,"family":"Yin","given":"Yao","email":"yyin@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":351685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":4234,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":351686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005650,"text":"70005650 - 2011 - Carbon gas fluxes in re-established wetlands on organic soils differ relative to plant community and hydrology","interactions":[],"lastModifiedDate":"2012-06-14T01:01:39","indexId":"70005650","displayToPublicDate":"2012-01-01T14:19:32","publicationYear":"2011","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":"Carbon gas fluxes in re-established wetlands on organic soils differ relative to plant community and hydrology","docAbstract":"We measured CO<sub>2</sub> and CH<sub>4</sub> fluxes for 6 years following permanent flooding of an agriculturally managed organic soil at two water depths (~25 and ~55 cm standing water) in the Sacramento&ndash;San Joaquin Delta, California, as part of research studying C dynamics in re-established wetlands. Flooding rapidly reduced gaseous C losses, and radiocarbon data showed that this, in part, was due to reduced oxidation of \"old\" C preserved in the organic soils. Both CO<sub>2</sub> and CH<sub>4</sub> emissions from the water surface increased during the first few growing seasons, concomitant with emergent marsh establishment, and thereafter appeared to stabilize according to plant communities. Areas of emergent marsh vegetation in the shallower wetland had greater net CO<sub>2</sub> influx (-485 mg Cm<sup>-1</sup> h<sup>-1</sup>), and lower CH<sub>4</sub> emissions (11.5 mg Cm<sup>-2</sup> h<sup>-1<sup>), than in the deeper wetland (-381 and 14.1 mg Cm<sup>-2</sup> h<sup>-1<sup>, respectively). Areas with submerged and floating vegetation in the deeper wetland had CH<sub>4</sub> emissions similar to emergent vegetation (11.9 and 12.6 mg Cm<sup>-2</sup> h<sup>-1<sup>, respectively), despite lower net CO<sub>2</sub> influx (-102 gC m<sup>-2</sup> h<sup>-1<sup>). Measurements of plant moderated net CO<sub>2</sub> influx and CH<sub>4</sub> efflux indicated greatest potential reduction of greenhouse gases in the more shallowly flooded wetland.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s13157-011-0215-2","usgsCitation":"Miller, R., 2011, Carbon gas fluxes in re-established wetlands on organic soils differ relative to plant community and hydrology: Wetlands, v. 31, no. 6, p. 1055-1066, https://doi.org/10.1007/s13157-011-0215-2.","productDescription":"12 p.","startPage":"1055","endPage":"1066","numberOfPages":"14","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":257572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257553,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-011-0215-2","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-08-23","publicationStatus":"PW","scienceBaseUri":"5059f364e4b0c8380cd4b790","contributors":{"authors":[{"text":"Miller, Robin L. romiller@usgs.gov","contributorId":887,"corporation":false,"usgs":true,"family":"Miller","given":"Robin L.","email":"romiller@usgs.gov","affiliations":[],"preferred":true,"id":353006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003811,"text":"70003811 - 2011 - Catch of channel catfish with tandem-set hoop nets and gill nets in lentic systems of Nebraska","interactions":[],"lastModifiedDate":"2017-05-10T13:49:55","indexId":"70003811","displayToPublicDate":"2012-01-01T14:17:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Catch of channel catfish with tandem-set hoop nets and gill nets in lentic systems of Nebraska","docAbstract":"<p>Twenty-six Nebraska water bodies representing two ecosystem types (small standing waters and large standing waters) were surveyed during 2008 and 2009 with tandem-set hoop nets and experimental gill nets to determine if similar trends existed in catch rates and size structures of channel catfish Ictalurus punctatus captured with these gears. Gear efficiency was assessed as the number of sets (nets) that would be required to capture 100 channel catfish given observed catch per unit effort (CPUE). Efficiency of gill nets was not correlated with efficiency of hoop nets for capturing channel catfish. Small sample sizes prohibited estimation of proportional size distributions in most surveys; in the four surveys for which sample size was sufficient to quantify length-frequency distributions of captured channel catfish, distributions differed between gears. The CPUE of channel catfish did not differ between small and large water bodies for either gear. While catch rates of hoop nets were lower than rates recorded in previous studies, this gear was more efficient than gill nets at capturing channel catfish. However, comparisons of size structure between gears may be problematic.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Fisheries Society Symposium","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Richters, L.K., and Pope, K.L., 2011, Catch of channel catfish with tandem-set hoop nets and gill nets in lentic systems of Nebraska: American Fisheries Society Symposium, v. 77, p. 573-580.","productDescription":"8 p.","startPage":"573","endPage":"580","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026809","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":257777,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301054,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.unl.edu/ncfwrustaff/96/"}],"country":"United States","state":"Nebraska","volume":"77","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f3cbe4b0c8380cd4b976","contributors":{"authors":[{"text":"Richters, Lindsey K.","contributorId":46345,"corporation":false,"usgs":true,"family":"Richters","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":348975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":348974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007151,"text":"70007151 - 2011 - Are isolated wetlands isolated?","interactions":[],"lastModifiedDate":"2018-01-05T11:34:34","indexId":"70007151","displayToPublicDate":"2012-01-01T14:07:11","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2819,"text":"National Wetlands Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Are isolated wetlands isolated?","docAbstract":"While federal regulations during the past 10 years have treated isolated wetlands as unconnected to aquatic resources protected by the Clean Water Act, they provide critical ecosystem services to society that extend well beyond their wetland boundaries. The authors offer well-documented examples from the scientific literature on some of the ecosystem services provided by isolated wetlands to society and other ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"National Wetlands Newsletter","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Environmental Law Institute","publisherLocation":"Washington, D.C.","usgsCitation":"Smith, L., Euliss, N.H., and Haukos, D.A., 2011, Are isolated wetlands isolated?: National Wetlands Newsletter, v. 33, no. 5, p. 26-27.","productDescription":"2 p.","startPage":"26","endPage":"27","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":258159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258156,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.wetlandsnewsletter.org/pdf/33.05/smith.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","volume":"33","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed5de4b0c8380cd49777","contributors":{"authors":[{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":355946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":355944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":355945,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005627,"text":"70005627 - 2011 - Estimation of volumetric runoff coefficients for Texas watersheds using land-use and rainfall-runoff data","interactions":[],"lastModifiedDate":"2021-02-04T19:59:23.734465","indexId":"70005627","displayToPublicDate":"2012-01-01T13:54:25","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2362,"text":"Journal of Irrigation and Drainage Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of volumetric runoff coefficients for Texas watersheds using land-use and rainfall-runoff data","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>The rational method for peak discharge (<span class=\"equationTd\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>Q</mi><mi>p</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><i><span id=\"MathJax-Span-4\" class=\"mi\">Q</span></i><sub><span id=\"MathJax-Span-5\" class=\"mi\">p</span></sub></span></span></span></span></span></span>) estimation was introduced in the 1880s. Although the rational method is considered simplistic, it remains an effective method for estimating peak discharge for small watersheds. The runoff coefficient (<i><span class=\"equationTd\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mi>C</mi></math>\"><span id=\"MathJax-Span-6\" class=\"math\"><span><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"mi\">C</span></span></span></span></span></span></i>) is a key parameter for the rational method and can be estimated in various ways. Literature-based<span>&nbsp;</span><i><span class=\"equationTd\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mi>C</mi></math>\"><span id=\"MathJax-Span-9\" class=\"math\"><span><span id=\"MathJax-Span-10\" class=\"mrow\"><span id=\"MathJax-Span-11\" class=\"mi\">C</span></span></span></span></span></span></i><span>&nbsp;</span>values (<span class=\"equationTd\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>lit</mi></msub></math>\"><span id=\"MathJax-Span-12\" class=\"math\"><span><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"msub\"><i><span id=\"MathJax-Span-15\" class=\"mi\">C</span></i><span id=\"MathJax-Span-16\" class=\"mi\"><sub>lit</sub></span></span></span></span></span></span></span>) are listed for different land-use/land cover (two words, no hyphen) (LULC) conditions in various design manuals and textbooks; however, these<span> <span class=\"equationTd\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>lit</mi></msub></math>\"><span id=\"MathJax-Span-12\" class=\"math\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"msub\"><i><span id=\"MathJax-Span-15\" class=\"mi\">C</span></i><span id=\"MathJax-Span-16\" class=\"mi\"><sub>lit</sub></span></span></span></span></span></span></span><span>&nbsp;</span>values were developed with little basis on observed rainfall and runoff data. In this paper,<span> <span class=\"equationTd\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>lit</mi></msub></math>\"><span id=\"MathJax-Span-12\" class=\"math\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"msub\"><i><span id=\"MathJax-Span-15\" class=\"mi\">C</span></i><span id=\"MathJax-Span-16\" class=\"mi\"><sub>lit</sub></span></span></span></span></span></span></span><span>&nbsp;</span>values were derived for 90 watersheds in Texas by using LULC data for 1992 and 2001; the<span> <span class=\"equationTd\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>lit</mi></msub></math>\"><span id=\"MathJax-Span-12\" class=\"math\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"msub\"><i><span id=\"MathJax-Span-15\" class=\"mi\">C</span></i><span id=\"MathJax-Span-16\" class=\"mi\"><sub>lit</sub></span></span></span></span></span></span></span><span>&nbsp;</span>values derived from the two data sets were essentially the same. Also for this study, volumetric runoff coefficients (<span class=\"equationTd\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>v</mi></msub></math>\"><span id=\"MathJax-Span-32\" class=\"math\"><span><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"msub\"><i><span id=\"MathJax-Span-35\" class=\"mi\">C</span></i><sub><span id=\"MathJax-Span-36\" class=\"mi\">v</span></sub></span></span></span></span></span></span>) were estimated by using observed rainfall and runoff depths from more than 1,600 events observed in the watersheds. Watershed-median and watershed-average<span> <span class=\"equationTd\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>v</mi></msub></math>\"><span id=\"MathJax-Span-32\" class=\"math\"><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"msub\"><i><span id=\"MathJax-Span-35\" class=\"mi\">C</span></i><sub><span id=\"MathJax-Span-36\" class=\"mi\">v</span></sub></span></span></span></span></span></span><span>&nbsp;</span>values were computed, and both are consistent with data from the National Urban Runoff Program. In addition,<span> <span class=\"equationTd\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>v</mi></msub></math>\"><span id=\"MathJax-Span-32\" class=\"math\"><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"msub\"><i><span id=\"MathJax-Span-35\" class=\"mi\">C</span></i><sub><span id=\"MathJax-Span-36\" class=\"mi\">v</span></sub></span></span></span></span></span></span><span>&nbsp;</span>values were estimated by using rank-ordered pairs of rainfall and runoff depths (i.e.,&nbsp;frequency matching). As anticipated,<span>&nbsp;</span><i><span class=\"equationTd\"><span id=\"MathJax-Element-11-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mi>C</mi></math>\"><span id=\"MathJax-Span-47\" class=\"math\"><span><span id=\"MathJax-Span-48\" class=\"mrow\"><span id=\"MathJax-Span-49\" class=\"mi\">C</span></span></span></span></span></span></i><span>&nbsp;</span>values derived by all three methods (literature based, event totals, and frequency matching) consistently had larger values for developed watersheds than for undeveloped watersheds. Two regression equations of<span> <span class=\"equationTd\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>v</mi></msub></math>\"><span id=\"MathJax-Span-32\" class=\"math\"><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"msub\"><i><span id=\"MathJax-Span-35\" class=\"mi\">C</span></i><sub><span id=\"MathJax-Span-36\" class=\"mi\">v</span></sub></span></span></span></span></span></span><span>&nbsp;</span>versus percent impervious area were developed and combined into a single equation that can be used to rapidly estimate<span> <span class=\"equationTd\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><msub><mi>C</mi><mi>v</mi></msub></math>\"><span id=\"MathJax-Span-32\" class=\"math\"><span id=\"MathJax-Span-33\" class=\"mrow\"><span id=\"MathJax-Span-34\" class=\"msub\"><i><span id=\"MathJax-Span-35\" class=\"mi\">C</span></i><sub><span id=\"MathJax-Span-36\" class=\"mi\">v</span></sub></span></span></span></span></span></span><span>&nbsp;</span>values for similar Texas watersheds.</p></div>","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)IR.1943-4774.0000368","usgsCitation":"Dhakal, N., Fang, X., Cleveland, T., Thompson, D.B., Asquith, W.H., and Marzen, L.J., 2011, Estimation of volumetric runoff coefficients for Texas watersheds using land-use and rainfall-runoff data: Journal of Irrigation and Drainage Engineering, v. 138, no. 1, p. 43-54, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000368.","productDescription":"12 p.","startPage":"43","endPage":"54","ipdsId":"IP-023980","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":383030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70005511,"text":"70005511 - 2011 - Book review: World atlas of mangroves","interactions":[],"lastModifiedDate":"2015-12-11T11:40:21","indexId":"70005511","displayToPublicDate":"2012-01-01T13:53:00","publicationYear":"2011","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":"Book review: World atlas of mangroves","docAbstract":"<p class=\"p1\"><span class=\"s1\">Nearly 14&nbsp;years have passed since the first atlas, <i>World Mangrove Atlas</i> (Spalding et al. </span><span class=\"s2\">1997</span><span class=\"s1\">), was published. While scientists throughout the world have shared their insights about these ecosystems from a handful of &ldquo;classic&rdquo; mangrove ecology treatises, no book since has provided the same platform for understanding the global importance of mangroves by simply defining their distribution. The vast majority of mangrove research programs are modest in size and limited in funding. Nonetheless, much knowledge has been gained since the last atlas, including a potential role for mangroves in storm protection, proactive adjustment of soil surface elevation with sea-level rise, coastal water conservation, economic importance locally, etc. Furthermore, by documenting what can be lost, this book allows the reader to imagine what a world without mangroves might look like (see also <i>Science</i> 317, 41&ndash;42). If the first atlas established a mere image of an important wetland community type in peril, then this current edition paints a picture rivaling what an artist may have envisioned. The <i>World Atlas of Mangroves</i> is a comprehensive, well-written, ambitious, and artistic work that we can certainly recommend, and that should be part of any serious wetland library.</span></p>\n<p>Review info: <i>World Atlas of Mangroves</i>. By Spalding, M., M. Kainuma, and L. Collins, 2010. ISBN: 978-1844076574, 319 pp.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s13157-011-0224-1","usgsCitation":"Krauss, K.W., and Friess, D., 2011, Book review: World atlas of mangroves: Wetlands, v. 31, no. 5, p. 1003-1005, https://doi.org/10.1007/s13157-011-0224-1.","productDescription":"3 p.","startPage":"1003","endPage":"1005","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":261766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261758,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-011-0224-1","linkFileType":{"id":5,"text":"html"}}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"505bd32ee4b08c986b32fc16","contributors":{"authors":[{"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":352682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":352683,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004055,"text":"70004055 - 2011 - Large-scale flow experiments for managing river systems","interactions":[],"lastModifiedDate":"2017-11-20T11:48:03","indexId":"70004055","displayToPublicDate":"2012-01-01T13:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale flow experiments for managing river systems","docAbstract":"Experimental manipulations of streamflow have been used globally in recent decades to mitigate the impacts of dam operations on river systems. Rivers are challenging subjects for experimentation, because they are open systems that cannot be isolated from their social context. We identify principles to address the challenges of conducting effective large-scale flow experiments. Flow experiments have both scientific and social value when they help to resolve specific questions about the ecological action of flow with a clear nexus to water policies and decisions. Water managers must integrate new information into operating policies for large-scale experiments to be effective. Modeling and monitoring can be integrated with experiments to analyze long-term ecological responses. Experimental design should include spatially extensive observations and well-defined, repeated treatments. Large-scale flow manipulations are only a part of dam operations that affect river systems. Scientists can ensure that experimental manipulations continue to be a valuable approach for the scientifically based management of river systems.","language":"English","publisher":"Oxford Journals","doi":"10.1525/bio.2011.61.12.5","usgsCitation":"Konrad, C.P., Olden, J., Lytle, D.A., Melis, T., Schmidt, J.C., Bray, E., Freeman, M., Gido, K., Hemphill, N.P., Kennard, M.J., McMullen, L.E., Mims, M.C., Pyron, M., Robinson, C.T., and Williams, J.G., 2011, Large-scale flow experiments for managing river systems: BioScience, v. 61, no. 12, p. 948-959, https://doi.org/10.1525/bio.2011.61.12.5.","productDescription":"12 p.","startPage":"948","endPage":"959","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":474801,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2011.61.12.5","text":"Publisher Index Page"},{"id":257243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257228,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/bio.2011.61.12.5","linkFileType":{"id":5,"text":"html"}}],"volume":"61","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4496e4b0c8380cd66c20","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian 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E.","contributorId":43216,"corporation":false,"usgs":true,"family":"McMullen","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":350371,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mims, Meryl C.","contributorId":29253,"corporation":false,"usgs":true,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":350369,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pyron, Mark","contributorId":28113,"corporation":false,"usgs":true,"family":"Pyron","given":"Mark","affiliations":[],"preferred":false,"id":350368,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Robinson, Christopher T.","contributorId":25663,"corporation":false,"usgs":true,"family":"Robinson","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":350367,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Williams, John 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