{"pageNumber":"511","pageRowStart":"12750","pageSize":"25","recordCount":69040,"records":[{"id":70144431,"text":"sir20155038 - 2015 - Potential groundwater recharge for the State of Minnesota using the Soil-Water-Balance model, 1996-2010","interactions":[],"lastModifiedDate":"2015-04-06T15:06:47","indexId":"sir20155038","displayToPublicDate":"2015-04-06T15:00:00","publicationYear":"2015","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":"2015-5038","title":"Potential groundwater recharge for the State of Minnesota using the Soil-Water-Balance model, 1996-2010","docAbstract":"<p>Groundwater recharge is one of the most difficult components of a water budget to ascertain, yet is an important boundary condition necessary for the quantification of water resources. In Minnesota, improved estimates of recharge are necessary because approximately 75 percent of drinking water and 90 percent of agricultural irrigation water in Minnesota are supplied from groundwater. The water that is withdrawn must be supplied by some combination of (1) increased recharge, (2) decreased discharge to streams, lakes, and other surface-water bodies, and (3) removal of water that was stored in the system. Recent pressure on groundwater resources has highlighted the need to provide more accurate recharge estimates for various tools that can assess the sustainability of long-term water use. As part of this effort, the U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, used the Soil-Water-Balance model to calculate gridded estimates of potential groundwater recharge across Minnesota for 1996‒2010 at a 1-kilometer (0.621-mile) resolution. The potential groundwater recharge estimates calculated for Minnesota from the Soil-Water Balance model included gridded values (1-kilometer resolution) of annual mean estimates (that is, the means for individual years from 1996 through 2010) and mean annual estimates (that is, the mean for the 15-year period 1996&minus;2010).</p>\n<p>The Soil-Water-Balance model uses a modified Thornthwaite-Mather soil-water-balance approach, with components of the soil-water balance calculated on a daily basis. A key advantage of this approach includes the use of commonly available geographic information system data layers that incorporate land cover, soil properties, and daily meteorological data to produce temporally and spatially variable gridded estimates of potential recharge. The Soil-Water-Balance model was calibrated by using a combination of parameter estimation techniques, making manual adjustments of model parameters, and using parameter values from previously published Soil-Water-Balance models. Each calibration simulation compared the potential recharge estimate from the model against base-flow estimates derived from three separate hydrograph separation techniques. A total of 35 Minnesota watersheds were selected for the model calibration.</p>\n<p>Meteorological data necessary for the model included daily precipitation, minimum daily temperature, and maximum daily temperature. All of the meteorological data were provided by the Daymet dataset, which included daily continuous surfaces of key climatological data. Land-cover data were provided by the 2001 and 2006 National Land Cover Database: the 2001 classification was used from 1994 through 2003, and the 2006 classification was used from 2004 through 2010. Soil data used in the model included hydrologic soils group and the available soil-water capacity. These soil data were obtained from the Natural Resources Conservation Service Soil Survey Geographic (SSURGO) database and the State Soil Geographic (STATSGO) database.</p>\n<p>The statewide mean annual potential recharge rate from 1996&ndash;2010 was 4.9 inches per year. Potential recharge estimates increased from west to east across Minnesota. The mean annual potential recharge estimates across Minnesota at a 1-km resolution for the overall simulation period (1996&ndash;2010) ranged from less than 0.1 to 17.8 inches per year. Some of the lowest potential recharge rates for the simulation period were in the Red River of the North Basin of northwestern Minnesota, and generally were between 1.0 and 1.5 inches per year. The highest potential recharge rates were in northeastern Minnesota and the Anoka Sand Plain in central Minnesota. Eighty-eight percent of the potential recharge rates (by grid cell) were between 2 and 8 inches per year from 1996&ndash;2010. Only about 3 percent of all the potential recharge estimates (by grid cell) were less than 2 inches per year, and 9 percent of estimates were greater than 8 inches per year.</p>\n<p>On an annual basis, however, potential recharge rates were as high as 27.2 inches per year. The highest annual mean recharge estimate across the State was for 2010, and the lowest mean recharge estimate was for 2003. Although precipitation variability partially explained the annual differences in potential recharge estimates, precipitation alone did not account for these differences, and other factors such as antecedent moisture conditions likely were important. Also, because precipitation gradients across the State can vary from year to year, the dominant land-cover class and hydrologic soil group combinations for a particular region had a large effect on the resulting potential recharge value. During 1996&ndash;2010, April had the greatest monthly mean potential recharge compared to all other months, accounting for a mean of 30 percent of annual potential recharge in this single month.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155038","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Smith, E.A., and Westenbroek, S.M., 2015, Potential groundwater recharge for the State of Minnesota using the Soil-Water-Balance model, 1996-2010: U.S. Geological Survey Scientific Investigations Report 2015-5038, vii, 85 p., https://doi.org/10.3133/sir20155038.","productDescription":"vii, 85 p.","startPage":"85","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1996-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-034584","costCenters":[{"id":392,"text":"Minnesota Water Science 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easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544123,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139629,"text":"sir20155014 - 2015 - Occurrence of pesticides in groundwater underlying areas of high-density row-crop production in Alabama, 2009-2013","interactions":[],"lastModifiedDate":"2015-04-20T15:09:00","indexId":"sir20155014","displayToPublicDate":"2015-04-06T15:00:00","publicationYear":"2015","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":"2015-5014","title":"Occurrence of pesticides in groundwater underlying areas of high-density row-crop production in Alabama, 2009-2013","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Alabama Department of Agriculture and Industries, sampled a network of 15 wells for up to 167 pesticides and pesticide degradates from 2009 through 2013 in three areas of high-density row-crop agriculture in Alabama. Eighteen herbicides, 2 fungicides, and 9 degradates were detected in water from the sampled wells. The highest concentration of a detected pesticide was 4.49 micrograms per liter of bentazon in Baldwin County, Alabama, which was well below the lifetime health advisory level of 200 micrograms per liter. None of the measured pesticide concentrations exceeded a human-health benchmark. Insecticides were not detected.</p>\n<p>Relatively flat land and permeable soils prevalent in each of the three areas facilitate the transport of pesticides through the unsaturated zone into the underlying aquifers. Pesticides and the degradate, deethylatrazine, were more frequently detected in groundwater from wells located in northern Alabama than in southeastern Alabama and Baldwin County, Alabama. Greater amounts of pesticide usage and shallow well depths in northern Alabama likely explain the detection of pesticides in that area. Pesticides were detected in two of the shallowest sampled wells in southeastern Alabama, and the detected pesticides have been extensively used on the crops grown in this area. Total pesticide use among the three areas was lowest in Baldwin County; however, fungicides were detected more often in Baldwin County, which is indicative of peanut crops planted in that area.</p>\n<p>Concentrations of metolachlor and atrazine have substantially decreased in the northern Alabama wells since 2000. A decline in use of metolachlor and atrazine from a high in the late-1990s and a high in 2004, respectively, in northern Alabama could account for the lower concentrations. Fluometuron use has also declined since 1998, but the relation between time and concentrations differed in the five northern Alabama wells. Fluometuron concentrations in three of the five wells have been decreasing over time, while concentrations in the remaining two wells have been increasing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155014","collaboration":"Prepared in cooperation with the Alabama Department of Agriculture and Industries","usgsCitation":"Welch, H.L., 2015, Occurrence of pesticides in groundwater underlying areas of high-density row-crop production in Alabama, 2009-2013: U.S. Geological Survey Scientific Investigations Report 2015-5014, Report: iv, 35 p.; 2 Appendices, https://doi.org/10.3133/sir20155014.","productDescription":"Report: iv, 35 p.; 2 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","ipdsId":"IP-060255","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":299398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155014.jpg"},{"id":299395,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5014/"},{"id":299396,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5014/pdf/sir2015-5014.pdf","text":"Report","size":"888 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299397,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5014/download","text":"Appendix 2","size":"167 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"Concentrations of detected compounds in groundwater samples from wells located in areas of high-density row-crop production in Alabama, 2000-2013."}],"country":"United States","state":"Alabama","county":"Baldwin County, Colbert County, Geneva County, Henry County, Houston County, Lauderdale County, Limestone County, Madison County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.53700256347656,\n              30.40471180080158\n            ],\n            [\n              -87.76771545410156,\n              30.39656853856939\n            ],\n            [\n              -87.90435791015625,\n              30.53860787885458\n            ],\n            [\n              -87.89920806884764,\n              30.55132212123368\n            ],\n            [\n              -87.81543731689453,\n              30.593592390615303\n            ],\n            [\n              -87.77938842773438,\n              30.584430469735068\n            ],\n            [\n              -87.73441314697266,\n              30.427065265208352\n            ],\n            [\n              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,{"id":70143271,"text":"sim3322 - 2015 - Using satellite images to monitor glacial-lake outburst floods: Lago Cachet Dos drainage, Chile","interactions":[],"lastModifiedDate":"2015-04-06T13:00:00","indexId":"sim3322","displayToPublicDate":"2015-04-06T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3322","title":"Using satellite images to monitor glacial-lake outburst floods: Lago Cachet Dos drainage, Chile","docAbstract":"<p>The U.S. Geological Survey (USGS) is monitoring and analyzing glacial-lake outburst floods (GLOFs) in the Colonia valley in the Patagonia region of southern Chile. A GLOF is a type of flood that occurs when water impounded by a glacier or a glacial moraine is released catastrophically. In the Colonia valley, GLOFs originating from Lago Cachet Dos, which is dammed by the Colonia Glacier, have recurred periodically since 2008. The water discharged during these GLOFs flows under or through the Colonia Glacier, into Lago Colonia and then the R&iacute;o Colonia, and finally into the R&iacute;o Baker&mdash;Chile's largest river in terms of volume of water.</p>\n<p>This report presents a GeoEye-1 image collected December 1, 2011 and a WorldView-2 image collected September 27, 2013. The 2011 image shows Lago Cachet Dos when the water level was near its maximum extent. The 2013 image shows the drained lake four days after a GLOF event. The images were used to delineate the differences in water surface area prior to, and immediately following, a GLOF event. The imagery shown here highlights the dramatic changes that typically occur during GLOFs from Lago Cachet Dos. The lake area decreased from 4.84 km<sup>2</sup><span class=\"Apple-converted-space\">&nbsp;</span>in 2011 (pre-GLOF) to only 0.30 km<sup>2</sup><span class=\"Apple-converted-space\">&nbsp;</span>in September 2013 (post-GLOF). The water surface lowered approximately 90 m between the pre- and post-GLOF satellite images, yielding a change in volume of approximately 217,000,000 m<sup>3</sup>; this value is similar to previous estimates (about 200 million m<sup>3</sup>) of the volume of flood water that flowed down the R&iacute;o Colonia during some previous GLOFs.</p>\n<p>During 2008&ndash;2013, 14 GLOFs were released from Lago Cachet Dos and created environmental and safety concerns for downstream residents and to infrastructure. If GLOFs and the consequent headward erosion continue, the moraine that creates Lago Cachet Uno could be destabilized and breached, and the two lakes could merge. If the two lakes become connected, the volume of future GLOFs likely would be greater and thus cause longer and (or) more extensive flooding downstream. Additional GLOFs from Lago Cachet Dos are expected in the future, and continued environmental monitoring could provide an early warning system as well as scientific information that could increase our understanding of GLOFs and their consequences. GLOFs occur in glaciated areas around the world and remote sensing technologies can allow researchers to better understand&mdash;and potentially predict&mdash;future GLOF events.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3322","usgsCitation":"Friesen, B.A., Cole, C.J., Nimick, D.A., Wilson, E.M., Fahey, M., McGrath, D.J., and Leidich, J., 2015, Using satellite images to monitor glacial-lake outburst floods: Lago Cachet Dos drainage, Chile: U.S. Geological Survey Scientific Investigations Map 3322, 44.17 x 41.0 inches, https://doi.org/10.3133/sim3322.","productDescription":"44.17 x 41.0 inches","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053416","costCenters":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"links":[{"id":299392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3322.jpg"},{"id":299390,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70145260,"text":"70145260 - 2015 - Conceptual models of the formation of acid-rock drainage at road cuts in Tennessee","interactions":[],"lastModifiedDate":"2015-11-23T15:30:52","indexId":"70145260","displayToPublicDate":"2015-04-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Conceptual models of the formation of acid-rock drainage at road cuts in Tennessee","docAbstract":"<p>Pyrite and other minerals containing sulfur and trace metals occur in several rock formations throughout Middle and East Tennessee. Pyrite (FeS2) weathers in the presence of oxygen and water to form iron hydroxides and sulfuric acid. The weathering and interaction of the acid on the rocks and other minerals at road cuts can result in drainage with low pH (&lt; 4) and high concentrations of trace metals. Acid-rock drainage can cause environmental problems and damage transportation infrastructure. The formation and remediation of acid-drainage from roads cuts has not been researched as thoroughly as acid-mine drainage. The U.S Geological Survey, in cooperation with the Tennessee Department of Transportation, is conducting an investigation to better understand the geologic, hydrologic, and biogeochemical factors that control acid formation at road cuts. Road cuts with the potential for acid-rock drainage were identifed and evaluated in Middle and East Tennessee. The pyrite-bearing formations evaluated were the Chattanooga Shale (Devonian black shale), the Fentress Formation (coal-bearing), and the Precambrian Anakeesta Formation and similar Precambrian rocks. Conceptual models of the formation and transport of acid-rock drainage (ARD) from road cuts were developed based on the results of a literature review, site reconnaissance, and the initial rock and water sampling. The formation of ARD requires a combination of hydrologic, geochemical, and microbial interactions which affect drainage from the site, acidity of the water, and trace metal concentrations. The basic modes of ARD formation from road cuts are; 1 - seeps and springs from pyrite-bearing formations and 2 - runoff over the face of a road cut in a pyrite-bearing formation. Depending on site conditions at road cuts, the basic modes of ARD formation can be altered and the additional modes of ARD formation are; 3 - runoff over and through piles of pyrite-bearing material, either from construction or breakdown material weathered from shale, and 4 - the deposition of secondary-sulfate minerals can store trace metals and, during rainfall, result in increased acidity and higher concentrations of trace metals in storm runoff. Understanding the factors that control ARD formation and transport are key to addressing the problems associated with the movement of ARD from the road cuts to the environment. The investigation will provide the Tennessee Department of Transportation with a regional characterization of ARD and provide insights into the geochemical and biochemical attributes for the control and remediation of ARD from road cuts.</p>","largerWorkTitle":"Proceedings of the 2015 Tennessee Water Resources Symposium","conferenceTitle":"2015 Tennessee Water Resources Symposium","conferenceDate":"April 1-3, 2015","conferenceLocation":"Montgomery Bell State Park Burns, Tennessee","language":"English","publisher":"Tennessee Section of the American Water Resources Association","collaboration":"Tenn. Department of Transportation","usgsCitation":"Bradley, M., Worland, S., and Byl, T., 2015, Conceptual models of the formation of acid-rock drainage at road cuts in Tennessee, <i>in</i> Proceedings of the 2015 Tennessee Water Resources Symposium, Montgomery Bell State Park Burns, Tennessee, April 1-3, 2015, p. 2C-8-2C-9.","productDescription":"1 p.","startPage":"2C-8","endPage":"2C-9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062621","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":311666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299403,"type":{"id":15,"text":"Index Page"},"url":"https://tnawra.er.usgs.gov/Library/Proceedings24th.pdf"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        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mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worland, Scott","contributorId":150038,"corporation":false,"usgs":false,"family":"Worland","given":"Scott","affiliations":[],"preferred":false,"id":580500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byl, Tom","contributorId":150039,"corporation":false,"usgs":false,"family":"Byl","given":"Tom","affiliations":[],"preferred":false,"id":580501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70142541,"text":"sir20155042 - 2015 - Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2011-13","interactions":[],"lastModifiedDate":"2015-04-02T16:56:44","indexId":"sir20155042","displayToPublicDate":"2015-04-02T17:45:00","publicationYear":"2015","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":"2015-5042","title":"Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2011-13","docAbstract":"<p>From 2011 to 2013, the U.S. Geological Survey&rsquo;s Idaho National Laboratory (INL) Project Office, in cooperation with the U.S. Department of Energy, collected depth-discrete measurements of fluid pressure and temperature in 11 boreholes located in the eastern Snake River Plain aquifer. Each borehole was instrumented with a multilevel monitoring system (MLMS) consisting of a series of valved measurement ports, packer bladders, casing segments, and couplers.</p>\n<p>Multilevel monitoring at the INL has been ongoing since 2006 and this report summarizes data collected from 2011 to 2013 in 11 multilevel monitoring wells. Hydraulic head (head) and groundwater temperature data were collected from 11 multilevel monitoring wells, including 177 hydraulically isolated depth intervals from 448.0 to 1,377.6 feet below land surface. One port (port 3) within borehole USGS 134 was not monitored because of a valve failure.</p>\n<p>Head and temperature profiles reveal unique patterns for vertical examination of the aquifer&rsquo;s complex basalt and sediment stratigraphy, proximity to aquifer recharge and discharge, and groundwater flow. These features contribute to some of the localized variability even though the general profile shape remained consistent over the period of record. Twenty-two major head inflections were described for 9 of 11 MLMS boreholes and almost always coincided with low‑permeability sediment layers and occasionally thick layers of dense basalt. However, the presence of a sediment layer or dense basalt layer was insufficient for identifying the location of a major head change within a borehole without knowing the true areal extent and relative transmissivity of the lithologic unit. Temperature profiles for boreholes completed within the Big Lost Trough indicate linear conductive trends; whereas, temperature profiles for boreholes completed within volcanic rift zones and near the southern boundary of the Idaho National Laboratory, indicate mostly convective heat transfer. Select boreholes along the southern boundary show a temperature reversal and cooler water deeper in the aquifer resulting from the vertical movement of groundwater.</p>\n<p>Vertical head and temperature change were quantified for each of the 11 multilevel monitoring systems. Vertical head gradients defined for the major inflections in the head profiles were as high as 2.9 feet per foot. In general, fractured basalt zones displayed relatively small vertical head differences and show a high occurrence within volcanic rift zones. Poor connectivity between fractures and higher vertical gradients were generally attributed to sediment layers and layers of dense basalt, or both. Groundwater temperatures in all boreholes ranged from 10.8 to 16.3 &deg;C.</p>\n<p>Normalized mean head values were analyzed for all 11 multilevel monitoring wells for the period of record (2007&ndash;13). The mean head values suggest a moderately positive correlation among all boreholes and generally reflect regional fluctuations in water levels in response to seasonal climatic changes. Boreholes within volcanic rift zones and near the southern boundary (USGS 103, USGS 105, USGS 108, USGS 132, USGS 135, USGS 137A) display a temporal correlation that is strongly positive. Boreholes in the Big Lost Trough display some variations in temporal correlations that may result from proximity to the mountain front to the northwest and episodic flow in the Big Lost River drainage system. For example, during June 2012, boreholes MIDDLE 2050A and MIDDLE 2051 showed head buildup within the upper zones when compared to the June 2010 profile event, which correlates to years when surface water was reported for the Big Lost River several months preceding the measurement period. With the exception of borehole USGS 134, temporal correlation between MLMS wells completed within the Big Lost Trough is generally positive. Temporal correlation for borehole USGS 134 shows the least agreement with other MLMS boreholes located within the Big Lost Trough; however, borehole USGS 134 is close to the mountain front where tributary valley subsurface inflow is suspected.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155042","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Twining, B.V., and Fisher, J.C., 2015, Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2011-13: U.S. Geological Survey Scientific Investigations Report 2015-5042, Report: vii, 49 p.; 8 Appendices, https://doi.org/10.3133/sir20155042.","productDescription":"Report: vii, 49 p.; 8 Appendices","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056607","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":299324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155042.jpg"},{"id":299323,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppH.pdf","text":"Appendix H","size":"161 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":299314,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5042/"},{"id":299315,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir2015-5042.pdf","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":299316,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppA.pdf","text":"Appendix A","size":"98 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":299317,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppB.pdf","text":"Appendix B","size":"202 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":299318,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppC.pdf","text":"Appendix C","size":"125 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":299319,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppD.pdf","text":"Appendix D","size":"109 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":299320,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppE.pdf","text":"Appendix E","size":"592 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":299321,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppF.pdf","text":"Appendix F","size":"103 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":299322,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5042/pdf/sir20155042_AppG.pdf","text":"Appendix G","size":"148 KB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.104248046875,\n              43.52664646047308\n            ],\n            [\n              -113.104248046875,\n              43.880077621969065\n            ],\n            [\n              -112.61123657226562,\n              43.880077621969065\n            ],\n            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jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543939,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70144294,"text":"ofr20151058 - 2015 - An evaluation of the accuracy of modeled and computed streamflow time-series data for the Ohio River at Hannibal Lock and Dam and at a location upstream from Sardis, Ohio","interactions":[],"lastModifiedDate":"2015-04-09T08:31:36","indexId":"ofr20151058","displayToPublicDate":"2015-04-02T11:00:00","publicationYear":"2015","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":"2015-1058","title":"An evaluation of the accuracy of modeled and computed streamflow time-series data for the Ohio River at Hannibal Lock and Dam and at a location upstream from Sardis, Ohio","docAbstract":"<p>Between July 2013 and June 2014, the U.S. Geological Survey (USGS) made 10 streamflow measurements on the Ohio River about 1.5 miles (mi) downstream from the Hannibal Lock and Dam (near Hannibal, Ohio) and 11 streamflow measurements near the USGS Sardis gage (station number 03114306) located approximately 2.4 mi upstream from Sardis, Ohio. The measurement results were used to assess the accuracy of modeled or computed instantaneous streamflow time series created and supplied by the USGS, U.S. Army Corps of Engineers (USACE), and National Weather Service (NWS) for the Ohio River at Hannibal Lock and Dam and (or) at the USGS streamgage. Hydraulic or hydrologic models were used to create the modeled time series; index-velocity methods or gate-opening ratings coupled with hydropower operation data were used to create the computed time series. The time step of the various instantaneous streamflow time series ranged from 15 minutes to 24 hours (once-daily values at 12:00 Coordinated Universal Time [UTC]). The 15-minute time-series data, computed by the USGS for the Sardis gage, also were downsampled to 1-hour and 24-hour time steps to permit more direct comparisons with other streamflow time series.</p>\n<p>To facilitate comparisons between measurement results and time-series data, streamflows corresponding to the times of the streamflow measurements were computed from the time-series data by time-based linear interpolation. Prior to doing interpolations, measurement times for the Hannibal Lock and Dam location were adjusted for traveltime to account for the fact that the streamflow measurements were made about 1.5 mi downstream from the location corresponding to the modeled/computed time-series data. Measured and interpolated streamflows were tabulated along with residuals (the difference between measured and interpolated streamflows) and selected summary statistics.</p>\n<p>Overall, streamflows interpolated from the USGS computed 15-minute time-series data (hereafter referred to as the USGS 15-minute time-series data) had the smallest root-mean-square error (RMSE) (3,939 cubic feet per second [ft<sup>3</sup>/s]) and the second smallest mean absolute residual (2,636 ft<sup>3</sup>/s), whereas streamflows interpolated from the USACE 12 UTC time series had the largest RMSE (14,590 ft<sup>3</sup>/s) and the largest mean absolute residual (10,800 ft<sup>3</sup>/s). The larger RMSEs for streamflows interpolated from the USACE 12 UTC time series likely resulted in part from the coarser time step of that time series. Streamflows interpolated from the USGS downsampled 1-hour time series had the second smallest RMSE (4,025 ft<sup>3</sup>/s) and the smallest mean absolute residual (2,600 ft<sup>3</sup>/s). Somewhat surprisingly, streamflows interpolated from the NWS 6-hour model time series had the third smallest RMSE (4,483 ft<sup>3</sup>/s) and mean absolute residual (4,050 ft<sup>3</sup>/s) in spite of being determined from a time series with a coarser time step than the USACE 1-hour modeled and computed time series.</p>\n<p>Measured streamflows at the Sardis gage and at the Hannibal Lock and Dam measurement location were plotted versus residuals (expressed as a percentage of the measured streamflows) of corresponding interpolated time-series streamflow values. Results for each of the time series exhibited some anomaly, possibly indicating the need and (or) potential for improvement in the streamflow computational/modeling processes.</p>\n<p>Streamflow hydrographs were plotted for modeled/computed time series for the Ohio River near the USGS Sardis gage and the Ohio River at the Hannibal Lock and Dam. In general, the time series at these two locations compared well. Some notable differences include the exclusive presence of short periods of negative streamflows in the USGS 15-minute time-series data for the gage on the Ohio River above Sardis, Ohio, and the occurrence of several peak streamflows in the USACE gate/hydropower time series for the Hannibal Lock and Dam that were appreciably larger than corresponding peaks in the other time series, including those modeled/computed for the downstream Sardis gage</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151058","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Koltun, G., 2015, An evaluation of the accuracy of modeled and computed streamflow time-series data for the Ohio River at Hannibal Lock and Dam and at a location upstream from Sardis, Ohio: U.S. Geological Survey Open-File Report 2015-1058, viii, 23 p., https://doi.org/10.3133/ofr20151058.","productDescription":"viii, 23 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063449","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":299300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151058.jpg"},{"id":299296,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1058/"},{"id":299297,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1058/pdf/ofr2015-1058.pdf","text":"Report","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Ohio","otherGeospatial":"Ohio River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.96099853515624,\n              39.57817336212527\n            ],\n            [\n              -80.96099853515624,\n              39.68182601089365\n            ],\n            [\n              -80.82092285156249,\n              39.68182601089365\n            ],\n            [\n              -80.82092285156249,\n              39.57817336212527\n            ],\n            [\n              -80.96099853515624,\n              39.57817336212527\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551e5a1be4b027f0aee3b86b","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":1852,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","email":"gfkoltun@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70144432,"text":"70144432 - 2015 - Do management actions to restore rare habitat benefit native fish conservation?  Distribution of juvenile native fish among shoreline habitats of the Colorado River","interactions":[],"lastModifiedDate":"2015-12-07T10:14:29","indexId":"70144432","displayToPublicDate":"2015-04-02T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Do management actions to restore rare habitat benefit native fish conservation?  Distribution of juvenile native fish among shoreline habitats of the Colorado River","docAbstract":"<p><span>Many management actions in aquatic ecosystems are directed at restoring or improving specific habitats to benefit fish populations. In the Grand Canyon reach of the Colorado River, experimental flow operations as part of the Glen Canyon Dam Adaptive Management Program have been designed to restore sandbars and associated backwater habitats. Backwaters can have warmer water temperatures than other habitats, and native fish, including the federally endangered humpback chub&nbsp;</span><i>Gila cypha</i><span>, are frequently observed in backwaters, leading to a common perception that this habitat is critical for juvenile native fish conservation. However, it is unknown how fish densities in backwaters compare with that in other habitats or what proportion of juvenile fish populations reside in backwaters. Here, we develop and fit multi-species hierarchical models to estimate habitat-specific abundances and densities of juvenile humpback chub, bluehead sucker</span><i>Catostomus discobolus</i><span>, flannelmouth sucker&nbsp;</span><i>Catostomus latipinnis</i><span>&nbsp;and speckled dace&nbsp;</span><i>Rhinichthys osculus</i><span>&nbsp;in a portion of the Colorado River. Densities of all four native fish were greatest in backwater habitats in 2009 and 2010. However, backwaters are rare and ephemeral habitats, so they contain only a small portion of the overall population. For example, the total abundance of juvenile humpback chub in this study was much higher in talus than in backwater habitats. Moreover, when we extrapolated relative densities based on estimates of backwater prevalence directly after a controlled flood, the majority of juvenile humpback chub were still found outside of backwaters. This suggests that the role of controlled floods in influencing native fish population trends may be limited in this section of the Colorado River.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.2842","usgsCitation":"Dodrill, M.J., Yackulic, C.B., Gerig, B., Pine, W.E., Korman, J., and Finch, C., 2015, Do management actions to restore rare habitat benefit native fish conservation?  Distribution of juvenile native fish among shoreline habitats of the Colorado River: River Research and Applications, v. 31, no. 10, p. 1203-1217, https://doi.org/10.1002/rra.2842.","productDescription":"15 p.","startPage":"1203","endPage":"1217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052358","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":299274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.8902587890625,\n              36.097938036628065\n            ],\n            [\n              -111.8902587890625,\n              36.289670126842225\n            ],\n            [\n              -111.74057006835936,\n              36.289670126842225\n            ],\n            [\n              -111.74057006835936,\n              36.097938036628065\n            ],\n            [\n              -111.8902587890625,\n              36.097938036628065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-08","publicationStatus":"PW","scienceBaseUri":"551e5a1ee4b027f0aee3b873","contributors":{"authors":[{"text":"Dodrill, Michael J. 0000-0002-7038-7170 mdodrill@usgs.gov","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":5468,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","email":"mdodrill@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerig, Brandon","contributorId":139958,"corporation":false,"usgs":false,"family":"Gerig","given":"Brandon","affiliations":[{"id":13331,"text":"University of Florida, Dept. of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":543581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pine, William E. III","contributorId":139959,"corporation":false,"usgs":false,"family":"Pine","given":"William","suffix":"III","email":"","middleInitial":"E.","affiliations":[{"id":13332,"text":"Uni. of Florida Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":543582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":543583,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finch, Colton","contributorId":139961,"corporation":false,"usgs":false,"family":"Finch","given":"Colton","affiliations":[{"id":13334,"text":"Uni. of Florida, Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":543584,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70143552,"text":"fs20153020 - 2015 - The Pacific northwest stream quality assessment","interactions":[],"lastModifiedDate":"2015-04-03T12:40:17","indexId":"fs20153020","displayToPublicDate":"2015-04-02T07:45:00","publicationYear":"2015","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":"2015-3020","title":"The Pacific northwest stream quality assessment","docAbstract":"<p>In 2015, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) program is assessing stream quality in the Pacific Northwest. The goals of the Pacific Northwest Stream Quality Assessment (Pacific Northwest study) are to assess the quality of streams in the region by characterizing multiple water-quality factors that are stressors to aquatic life and to evaluate the relation between these stressors and biological communities. The effects of urbanization and agriculture on stream quality for the Puget Lowlands and Willamette Valley are the focus of this regional study. Findings will provide the public and policymakers with information regarding which human and environmental factors are the most critical in affecting stream quality and, thus, provide insights about possible approaches to protect or improve the health of streams in the region.</p>\n<p>The Pacific Northwest study will be the third regional study by the NAWQA program, and it will be of similar design and scope as the first two&mdash;the Midwest in 2013 and the Southeast in 2014 (Van Metre and others, 2012, 2014).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153020","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Van Metre, P., Morace, J.L., and Sheibley, R.W., 2015, The Pacific northwest stream quality assessment: U.S. Geological Survey Fact Sheet 2015-3020, 2 p., https://doi.org/10.3133/fs20153020.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063659","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":299263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153020.jpg"},{"id":299261,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3020/"},{"id":299262,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3020/pdf/fs2015-3020.pdf","text":"Report","size":"448 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Web Mercator Projection","datum":"World Geodetic System of 1984","country":"United States","state":"Oregon, Washington","otherGeospatial":"Pacific Northwest, Puget Lowlands, Willamette Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": 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Center","active":true,"usgs":true}],"preferred":true,"id":543952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143862,"text":"ofr20151053 - 2015 - A method for determining average beach slope and beach slope variability for U.S. sandy coastlines","interactions":[],"lastModifiedDate":"2017-06-12T11:21:02","indexId":"ofr20151053","displayToPublicDate":"2015-04-02T07:30:00","publicationYear":"2015","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":"2015-1053","title":"A method for determining average beach slope and beach slope variability for U.S. sandy coastlines","docAbstract":"<p><span>The U.S. Geological Survey (USGS) National Assessment of Hurricane-Induced Coastal Erosion Hazards compares measurements of beach morphology with storm-induced total water levels to produce forecasts of coastal change for storms impacting the Gulf of Mexico and Atlantic coastlines of the United States. The wave-induced water level component (wave setup and swash) is estimated by using modeled offshore wave height and period and measured beach slope (from dune toe to shoreline) through the empirical parameterization of Stockdon and others (2006). Spatial and temporal variability in beach slope leads to corresponding variability in predicted wave setup and swash. For instance, seasonal and storm-induced changes in beach slope can lead to differences on the order of 1 meter (m) in wave-induced water level elevation, making accurate specification of this parameter and its associated uncertainty essential to skillful forecasts of coastal change. A method for calculating spatially and temporally averaged beach slopes is presented here along with a method for determining total uncertainty for each 200-m alongshore section of coastline.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151053","usgsCitation":"Doran, K.S., Long, J.W., and Overbeck, J., 2015, A method for determining average beach slope and beach slope variability for U.S. sandy coastlines: U.S. Geological Survey Open-File Report 2015-1053, Report: iv, 5 p.; Data Releases, https://doi.org/10.3133/ofr20151053.","productDescription":"Report: iv, 5 p.; Data Releases","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063337","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438707,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72805P1","text":"USGS data release","linkHelpText":"Beach Slopes of Florida: Miami to Jupiter"},{"id":299260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151053.jpg"},{"id":342384,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.5066/F72805P1","text":"Beach slopes of Florida: Miami to Jupiter"},{"id":342385,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.5066/F7XK8CK2","text":"Beach slopes of Florida: Bradenton Beach to Clearwater Beach"},{"id":299257,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1053/"},{"id":299258,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1053/pdf/ofr2015-1053.pdf","text":"Report","size":"377 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299259,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.5066/F7M906Q6","text":"Beach Slopes of North Carolina: Salvo to Duck","description":"Dataset website"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.84686279296874,\n              35.21420969483077\n            ],\n            [\n              -75.84686279296874,\n              36.10015727402227\n            ],\n            [\n              -75.21240234375,\n              36.10015727402227\n            ],\n            [\n              -75.21240234375,\n              35.21420969483077\n            ],\n            [\n              -75.84686279296874,\n              35.21420969483077\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551e5a18e4b027f0aee3b869","contributors":{"authors":[{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":127855,"corporation":false,"usgs":true,"family":"Doran","given":"Kara","email":"kdoran@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":543875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overbeck, Jacquelyn R.","contributorId":140046,"corporation":false,"usgs":true,"family":"Overbeck","given":"Jacquelyn R.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":543877,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70146790,"text":"70146790 - 2015 - Managing habitat to slow or reverse population declines of the Columbia spotted frog in the Northern Great Basin","interactions":[],"lastModifiedDate":"2017-11-22T18:01:11","indexId":"70146790","displayToPublicDate":"2015-04-01T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Managing habitat to slow or reverse population declines of the Columbia spotted frog in the Northern Great Basin","docAbstract":"<p>Evaluating the effectiveness of habitat management actions is critical to adaptive management strategies for conservation of imperiled species. We quantified the response of a Great Basin population of the Columbia spotted frog (<i>Rana luteiventris</i>) to multiple habitat improvement actions aimed to reduce threats and reverse population declines. We used mark-recapture data for 1,394 adult frogs that had been marked by state, federal, and university biologists in 9 ponds representing a single population over a 16-year period from 1997 to 2012. With the use of demographic models, we assessed population-level effects of 1) a grazing exclosure constructed around 6 stock ponds that had been used to water livestock for decades before being fully fenced in 2003, and 2) the construction of 3 new stock ponds in 2003 to provide alternative water sources for livestock and, secondarily, to provide additional frog habitat. These management actions were implemented in response to a decline of more than 80% in population size from 1997 to 2002. We found evidence that excluding cattle from ponds and surrounding riparian habitats resulted in higher levels of frog production (more egg masses), higher adult frog recruitment and survival, and higher population growth rate. We also found that frogs colonized the newly constructed stock ponds within 3 years and frogs began breeding in 2 of them after 5 years. The positive effects of the cattle exclosure and additional production from the new ponds, although notable, did not result in full recovery of the population even 9 years later. This slow recovery may be partly explained by the effects of weather on recruitment rates, particularly the negative effects of harsher winters with late springs and higher fall temperatures. Although our findings point to potential successes of habitat management aimed at slowing or reversing rapidly declining frog populations, our study also suggests that recovering from severe population declines can take many years because of demographic and environmental processes.&nbsp;</p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.868","usgsCitation":"Pilliod, D., and Scherer, R.D., 2015, Managing habitat to slow or reverse population declines of the Columbia spotted frog in the Northern Great Basin: Journal of Wildlife Management, v. 79, no. 4, p. 579-590, https://doi.org/10.1002/jwmg.868.","productDescription":"12 p.","startPage":"579","endPage":"590","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059456","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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,{"id":70147071,"text":"70147071 - 2015 - Targeting climate diversity in conservation planning to build resilience to climate change","interactions":[],"lastModifiedDate":"2018-09-18T10:34:24","indexId":"70147071","displayToPublicDate":"2015-04-01T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Targeting climate diversity in conservation planning to build resilience to climate change","docAbstract":"<p>Climate change is raising challenging concerns for systematic conservation planning. Are methods based on the current spatial patterns of biodiversity effective given long-term climate change? Some conservation scientists argue that planning should focus on protecting the abiotic diversity in the landscape, which drives patterns of biological diversity, rather than focusing on the distribution of focal species, which shift in response to climate change. Climate is one important abiotic driver of biodiversity patterns, as different climates host different biological communities and genetic pools. We propose conservation networks that capture the full range of climatic diversity in a region will improve the resilience of biotic communities to climate change compared to networks that do not. In this study we used historical and future hydro-climate projections from the high resolution Basin Characterization Model to explore the utility of directly targeting climatic diversity in planning. Using the spatial planning tool, Marxan, we designed conservation networks to capture the diversity of climate types, at the regional and sub-regional scale, and compared them to networks we designed to capture the diversity of vegetation types. By focusing on the Conservation Lands Network (CLN) of the San Francisco Bay Area as a real-world case study, we compared the potential resilience of networks by examining two factors: the range of climate space captured, and climatic stability to 18 future climates, reflecting different emission scenarios and global climate models. We found that the climate-based network planned at the sub-regional scale captured a greater range of climate space and showed higher climatic stability than the vegetation and regional based-networks. At the same time, differences among network scenarios are small relative to the variance in climate stability across global climate models. Across different projected futures, topographically heterogeneous areas consistently show greater climate stability than homogenous areas. The analysis suggests that utilizing high-resolution climate and hydrological data in conservation planning improves the likely resilience of biodiversity to climate change. We used these analyses to suggest new conservation priorities for the San Francisco Bay Area.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES14-00313.1","usgsCitation":"Heller, N.E., Kreitler, J.R., Ackerly, D., Weiss, S., Recinos, A., Branciforte, R., Flint, L.E., Flint, A.L., and Micheli, E., 2015, Targeting climate diversity in conservation planning to build resilience to climate change: Ecosphere, v. 6, no. 4, p. 1-20, https://doi.org/10.1890/ES14-00313.1.","productDescription":"20 p.","startPage":"1","endPage":"20","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058616","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472162,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/es14-00313.1","text":"External Repository"},{"id":299894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-24","publicationStatus":"PW","scienceBaseUri":"553f5dbbe4b0a658d7938cfc","contributors":{"authors":[{"text":"Heller, Nicole E.","contributorId":140429,"corporation":false,"usgs":false,"family":"Heller","given":"Nicole","email":"","middleInitial":"E.","affiliations":[{"id":13495,"text":"Dwight Center for Conservation Science at Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":545619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":545618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerly, David","contributorId":139541,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":545620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":545621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Recinos, Amanda","contributorId":140430,"corporation":false,"usgs":false,"family":"Recinos","given":"Amanda","email":"","affiliations":[{"id":13496,"text":"GreenInfo Network","active":true,"usgs":false}],"preferred":false,"id":545622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Branciforte, Ryan","contributorId":140431,"corporation":false,"usgs":false,"family":"Branciforte","given":"Ryan","email":"","affiliations":[{"id":13497,"text":"Bay Area Open Space Council","active":true,"usgs":false}],"preferred":false,"id":545623,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545624,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":545625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":545626,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70145179,"text":"70145179 - 2015 - Soil respiration patterns and controls in limestone cedar glades","interactions":[],"lastModifiedDate":"2015-04-06T11:35:12","indexId":"70145179","displayToPublicDate":"2015-04-01T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Soil respiration patterns and controls in limestone cedar glades","docAbstract":"<p>Aims</p>\n<p>Drivers of soil respiration (<i>R<sub>s</sub></i>) in rock outcrop ecosystems remain poorly understood. We investigated these drivers in limestone cedar glades, known for their concentrations of endemic plant species and for seasonal hydrologic extremes (xeric and saturated conditions), and compared our findings to those in temperate grasslands and semi-arid ecosystems.</p>\n<p>Methods</p>\n<p>We measured <i>R<sub>s</sub></i>, soil temperature (<i>T<sub>s</sub></i>), volumetric soil water content (SWC), soil organic matter (SOM), soil depth, and vegetation cover monthly over 16 mo and analyzed effects of these variables on <i>R<sub>s</sub></i>.</p>\n<p>Results</p>\n<p>Seasonally, <i>R<sub>s</sub></i> primarily tracked <i>T<sub>s</sub></i>(r<sup>2</sup>=0.77; <i>P</i> &lt; 0.01); however <i>R<sub>s</sub></i> was depressed during a summer drought. SOM was highly variable spatially, and incorporating SOM effects into the <i>R<sub>s</sub></i> model dramativally improved model performance. Both shallow soil and sparse vegetation cover were also associated with lower <i>R<sub>s</sub></i>.</p>\n<p>Conclusions</p>\n<p>Soil depth, SOM, and vegetation cover were important drivers of <i>R<sub>s</sub></i> in limestone cedar glades. Seasonal <i>R<sub>s</sub></i> patterns reflected those for mesic temperate grasslands more than for semi-arid ecosystems, in that <i>R<sub>s</sub></i> primarily tracked temperature for most of the year.</p>","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s11104-014-2348-6","collaboration":"National Park Service (Stones River National Battlefield), Tennessee State University","usgsCitation":"Cartwright, J.M., and Hui, D., 2015, Soil respiration patterns and controls in limestone cedar glades: Plant and Soil, v. 389, no. 1-2, p. 157-169, https://doi.org/10.1007/s11104-014-2348-6.","productDescription":"13","startPage":"157","endPage":"169","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055589","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":472163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-014-2348-6","text":"Publisher Index Page"},{"id":299380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"389","issue":"1-2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-07","publicationStatus":"PW","scienceBaseUri":"5523ae44e4b027f0aee3d14e","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hui, Dafeng","contributorId":140059,"corporation":false,"usgs":false,"family":"Hui","given":"Dafeng","email":"","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":544025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157067,"text":"70157067 - 2015 - Terrestrial ecology of semi-aquatic giant gartersnakes (<i>Thamnophis gigas</i>)","interactions":[],"lastModifiedDate":"2015-09-09T11:30:14","indexId":"70157067","displayToPublicDate":"2015-04-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial ecology of semi-aquatic giant gartersnakes (<i>Thamnophis gigas</i>)","docAbstract":"<p>Wetlands are a vital component of habitat for semiaquatic herpetofauna, but for most species adjacent terrestrial habitats are also essential. We examined the use of terrestrial environments by Giant Gartersnakes (Thamnophis gigas) to provide behavioral information relevant to conservation of this state and federally listed threatened species. We used radio telemetry data collected 1995&ndash;2011 from adults at several sites throughout the Sacramento Valley, California, USA, to examine Giant Gartersnake use of the terrestrial environment. We found Giant Gartersnakes in terrestrial environments more than half the time during the summer, with the use of terrestrial habitats increasing to nearly 100% during brumation. While in terrestrial habitats, we found Giant Gartersnakes underground more than half the time in the early afternoon during summer, and the probability of being underground increased to nearly 100% of the time at all hours during brumation. Extreme temperatures also increased the probability that we would find Giant Gartersnakes underground. Under most conditions, we found Giant Gartersnakes to be within 10 m of water at 95% of observations. For females during brumation and individuals that we found underground, however, the average individual had a 10% probability of being located &gt; 20 m from water. Individual variation in each of the response variables was extensive; therefore, predicting the behavior of an individual was fraught with uncertainty. Nonetheless, our estimates provide resource managers with valuable information about the importance of protecting and carefully managing terrestrial habitats for conserving a rare semiaquatic snake.</p>","language":"English","publisher":"Partners in Amphibian and Reptile Conservation","publisherLocation":"Texarkana, TX","usgsCitation":"Halstead, B., Skalos, S.M., Wylie, G.D., and Casazza, M.L., 2015, Terrestrial ecology of semi-aquatic giant gartersnakes (<i>Thamnophis gigas</i>): Herpetological Conservation and Biology, v. 10, no. 2, p. 633-644.","productDescription":"12 p.","startPage":"633","endPage":"644","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065175","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":308010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307932,"type":{"id":11,"text":"Document"},"url":"https://www.herpconbio.org/Volume_10/Issue_2/Halstead_etal_2015.pdf"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15834e4b0dacf699eb985","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":571467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalos, Shannon M. sskalos@usgs.gov","contributorId":147372,"corporation":false,"usgs":true,"family":"Skalos","given":"Shannon","email":"sskalos@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":571468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":571469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":571470,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143983,"text":"ofr20151056 - 2015 - Hydrologic conditions in Massachusetts during water year 2014","interactions":[],"lastModifiedDate":"2015-04-01T10:01:52","indexId":"ofr20151056","displayToPublicDate":"2015-04-01T12:00:00","publicationYear":"2015","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":"2015-1056","title":"Hydrologic conditions in Massachusetts during water year 2014","docAbstract":"<p><span>Hydrologic data and conditions throughout Massachusetts during water year 2014 (October 1, 2013, to September 30, 2014) are presented in this report. Stream discharge and groundwater levels during water year 2014 varied geographically across the State. The data are described as being above, below, or near normal in relation to long-term averages for the period of record.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151056","usgsCitation":"Verdi, R.J., 2015, Hydrologic conditions in Massachusetts during water year 2014: U.S. Geological Survey Open-File Report 2015-1056, iii, 9 p., https://doi.org/10.3133/ofr20151056.","productDescription":"iii, 9 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-10-01","temporalEnd":"2014-09-30","ipdsId":"IP-063076","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":299138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151056.jpg"},{"id":299135,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70144126,"text":"ofr20151052 - 2015 - Evaluation of the Ott Hydromet Qliner for measuring discharge in laboratory and field conditions","interactions":[],"lastModifiedDate":"2015-04-01T11:55:09","indexId":"ofr20151052","displayToPublicDate":"2015-04-01T11:45:00","publicationYear":"2015","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":"2015-1052","title":"Evaluation of the Ott Hydromet Qliner for measuring discharge in laboratory and field conditions","docAbstract":"<p><span>The U.S. Geological Survey, in collaboration with the University of Iowa IIHR &ndash; Hydroscience and Engineering, evaluated the use of the Ott Hydromet Qliner using laboratory flume tests along with field validation tests. Analysis of the flume testing indicates the velocities measured by the Qliner at a 40-second exposure time results in higher dispersion of velocities from the mean velocity of data collected with a 5-minute exposure time. The percent data spread from the mean of a 100-minute mean of Qliner velocities for a 40-second exposure time averaged 16.6 percent for the entire vertical, and a 5-minute mean produced a 6.2 percent data spread from the 100-minute mean. This 16.6 percent variation in measured velocity would result in a 3.32 percent variation in computed discharge assuming 25 verticals while averaging 4 bins in each vertical. The flume testing also provided results that indicate the blanking distance of 0.20 meters is acceptable when using beams 1 and 2, however beam 3 is negatively biased near the transducer and the 0.20-meter blanking distance is not sufficient. Field testing included comparing the measured discharge by the Qliner to the discharge measured by a Price AA mechanical current meter and a Teledyne RDI Rio Grande 1200 kilohertz acoustic Doppler current profiler. The field tests indicated a difference between the discharges measured with the Qliner and the field reference discharge between -14.0 and 8.0 percent; however the average percent difference for all 22 field comparisons was 0.22, which was not statistically significant.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151052","collaboration":"Prepared in cooperation with the University of Iowa IIHR – Hydroscience and Engineering","usgsCitation":"McVay, J.C., 2015, Evaluation of the Ott Hydromet Qliner for measuring discharge in laboratory and field conditions: U.S. Geological Survey Open-File Report 2015-1052, v, 13 p., https://doi.org/10.3133/ofr20151052.","productDescription":"v, 13 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061080","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":299250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151052.jpg"},{"id":299248,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1052/"},{"id":299249,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1052/pdf/ofr2015-1052.pdf","text":"Report","size":"2.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Universal Transverse Mercator, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.141357421875,\n              41.97582726102573\n            ],\n            [\n              -94.6142578125,\n              42.87596410238254\n            ],\n            [\n              -93.22998046875,\n              42.89206418807337\n            ],\n            [\n              -90.90087890624999,\n              42.187829010590825\n            ],\n            [\n              -91.417236328125,\n              40.9218144123785\n            ],\n            [\n              -92.39501953125,\n              40.94671366508002\n            ],\n            [\n              -96.075439453125,\n              41.795888098191426\n            ],\n            [\n              -96.141357421875,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551d089be4b0256c24f4214e","contributors":{"authors":[{"text":"McVay, Jason C. jcmcvay@usgs.gov","contributorId":139902,"corporation":false,"usgs":true,"family":"McVay","given":"Jason","email":"jcmcvay@usgs.gov","middleInitial":"C.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543397,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70146516,"text":"70146516 - 2015 - Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA","interactions":[],"lastModifiedDate":"2015-04-22T15:27:54","indexId":"70146516","displayToPublicDate":"2015-04-01T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA","docAbstract":"<p>Between 2008 and 2013, high-resolution geophysical surveys were conducted around the Mississippi barrier islands and offshore. The sonar surveys included swath and single-beam bathymetry, sidescan, and chirp subbottom data collection. The geophysical data were groundtruthed using vibracore sediment collection. The results provide insight into the evolution of the inner shelf and the relationship between the near surface geologic framework and the morphology of the coastal zone. This study focuses on the buried Pleistocene fluvial deposits and late Holocene shore-oblique sand ridges offshore of Petit Bois Island and Petit Bois Pass. Prior to this study, the physical characteristics, evolution, and interrelationship of the ridges between both the shelf geology and the adjacent barrier island platform had not been evaluated. Numerous studies elsewhere along the coastal margin attribute shoal origin and sand-ridge evolution to hydrodynamic processes in shallow water (&lt;20 m). Here we characterize the correlation between the geologic framework and surface morphology and demonstrate that the underlying stratigraphy must also be considered when developing an evolutionary conceptual model. It is important to understand this near surface, nearshore dynamic in order to understand how the stratigraphy influences the long-term response of the coastal zone to sea-level rise. The study also contributes to a growing body of work characterizing shore-oblique sand ridges which, along with the related geology, are recognized as increasingly important components to a nearshore framework whose origins and evolution must be understood and inventoried to effectively manage the coastal zone.</p>","language":"English","publisher":"North Pacific Marine Science Organization","publisherLocation":"New York, NY","doi":"10.1016/j.csr.2015.04.008","collaboration":"U.S. Geological Survey Northern GOM Hazards and Susceptibility Project, and the U.S. Army Corps of Engineers (USACE) Mississippi Coastal Improvement Project","usgsCitation":"Flocks, J.G., Kindinger, J.L., and Kelso, K.W., 2015, Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA: Continental Shelf Research, v. 101, p. 59-70, https://doi.org/10.1016/j.csr.2015.04.008.","productDescription":"12 p.","startPage":"59","endPage":"70","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061522","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299700,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0278434315000898"}],"volume":"101","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5536233be4b0b22a15807a98","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":544991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544992,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70150450,"text":"70150450 - 2015 - Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs","interactions":[],"lastModifiedDate":"2015-06-26T10:29:45","indexId":"70150450","displayToPublicDate":"2015-04-01T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs","docAbstract":"<p>Toxic blooms of golden alga (<i>Prymnesium parvum</i>) have caused substantial ecological and economic harm in freshwater and marine systems throughout the world. In North America, toxic blooms have impacted freshwater systems including large reservoirs. Management of water chemistry is one proposed option for golden alga control in these systems. The main objective of this study was to assess physicochemical characteristics of water that influence golden alga presence, abundance, and toxicity in the Upper Colorado River basin (UCR) in Texas. The UCR contains reservoirs that have experienced repeated blooms and other reservoirs where golden alga is present but has not been toxic. We quantified golden alga abundance (hemocytometer counts), ichthyotoxicity (bioassay), and water chemistry (surface grab samples) at three impacted reservoirs on the Colorado River; two reference reservoirs on the Concho River; and three sites at the confluence of these rivers. Sampling occurred monthly from January 2010 to July 2011. Impacted sites were characterized by higher specific conductance, calcium and magnesium hardness, and fluoride than reference and confluence sites. At impacted sites, golden alga abundance and toxicity were positively associated with salinity-related variables and blooms peaked at ~10&deg;C and generally did not occur above 20&deg;C. Overall, these findings suggest management of land and water use to reduce hardness or salinity could produce unfavorable conditions for golden alga.</p>","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12262","usgsCitation":"VanLandeghem, M., Farooqi, M., Southard, G.M., and Patino, R., 2015, Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs: Journal of the American Water Resources Association, v. 51, no. 2, p. 471-486, https://doi.org/10.1111/jawr.12262.","productDescription":"16 p.","startPage":"471","endPage":"486","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051548","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"558e77aee4b0b6d21dd6593d","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farooqi, Mukhtar","contributorId":143729,"corporation":false,"usgs":false,"family":"Farooqi","given":"Mukhtar","email":"","affiliations":[],"preferred":false,"id":556948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southard, Greg M.","contributorId":143730,"corporation":false,"usgs":false,"family":"Southard","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70150451,"text":"70150451 - 2015 - Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga <i>Prymnesium parvum</i> in West Texas","interactions":[],"lastModifiedDate":"2015-06-26T10:00:48","indexId":"70150451","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga <i>Prymnesium parvum</i> in West Texas","docAbstract":"<p>Golden alga (<i>Prymnesium parvum</i>) is a harmful alga that has caused ecological and economic harm in freshwater and marine systems worldwide. In inland systems of North America, toxic blooms have nearly eliminated fish populations in some systems. Modifying nutrient profiles through alterations to land or water use may be a viable alternative for golden alga control in reservoirs. The main objective of this study was to improve our understanding of the nutrient dynamics that influence golden alga bloom formation and toxicity in west Texas reservoirs. We examined eight sites in the Upper Colorado River basin, Texas: three impacted reservoirs that have experienced repeated golden alga blooms; two reference reservoirs where golden alga is present but nontoxic; and three confluence sites downstream of the impacted and reference sites. Total, inorganic, and organic nitrogen and phosphorus and their ratios were quantified monthly along with golden alga abundance and ichthyotoxicity between December 2010 and July 2011. Blooms persisted for several months at the impacted sites, which were characterized by high organic nitrogen and low inorganic nitrogen. At impacted sites, abundance was positively associated with inorganic phosphorus and bloom termination coincided with increases in inorganic nitrogen and decreases in inorganic phosphorus in late spring. Management of both inorganic and organic forms of nutrients may create conditions in reservoirs unfavorable to golden alga.</p>","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12261","usgsCitation":"VanLandeghem, M., Farooqi, M., Southard, G.M., and Patino, R., 2015, Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga <i>Prymnesium parvum</i> in West Texas: Journal of the American Water Resources Association, v. 51, no. 2, p. 487-501, https://doi.org/10.1111/jawr.12261.","productDescription":"15 p.","startPage":"487","endPage":"501","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051549","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"558e77bae4b0b6d21dd65970","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farooqi, Mukhtar","contributorId":143729,"corporation":false,"usgs":false,"family":"Farooqi","given":"Mukhtar","email":"","affiliations":[],"preferred":false,"id":556945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southard, Greg M.","contributorId":143730,"corporation":false,"usgs":false,"family":"Southard","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148532,"text":"70148532 - 2015 - Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds","interactions":[],"lastModifiedDate":"2015-06-12T09:56:46","indexId":"70148532","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds","docAbstract":"<p>To understand the role of migratory birds in the movement and transmission of haematozoa within and between continental regions, we examined 804 blood samples collected from eleven endemic species of South American waterfowl in Peru and Argentina for infection by <i>Haemoproteus</i>, <i>Plasmodium</i>, and/or <i>Leucocytozono</i> blood parasites. Infections were detected in 25 individuals of six species for an overall apparent prevalence rate of 3.1%. Analysis of haematozoa mitochondrial DNA revealed twelve distinct parasite haplotypes infecting South American waterfowl, four of which were identical to lineages previously observed infecting ducks and swans sampled in North America. Analysis of parasite mitochondrial DNA sequences revealed close phylogenetic relationships between lineages originating from waterfowl samples regardless of continental affiliation. In contrast, more distant phylogenetic relationships were observed between parasite lineages from waterfowl and passerines sampled in South America for <i>Haemoproteus</i> and <i>Leucocytozoon</i>, suggesting some level of host specificity for parasites of these genera. The detection of identical parasite lineages in endemic, South American waterfowl and North American ducks and swans, paired with the close phylogenetic relationships of haematozoa infecting waterfowl on both continents, provides evidence for parasite redistribution between these regions by migratory birds.</p>","language":"English","publisher":"Australian Society for Parasitology","publisherLocation":"Oxford","doi":"10.1016/j.ijppaw.2014.12.007","usgsCitation":"Smith, M.M., and Ramey, A.M., 2015, Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds: International Journal for Parasitology: Parasites and Wildlife, v. 4, no. 1, p. 22-28, https://doi.org/10.1016/j.ijppaw.2014.12.007.","productDescription":"7 p.","startPage":"22","endPage":"28","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056200","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2014.12.007","text":"Publisher Index Page"},{"id":301191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557c02dfe4b023124e8edf38","chorus":{"doi":"10.1016/j.ijppaw.2014.12.007","url":"http://dx.doi.org/10.1016/j.ijppaw.2014.12.007","publisher":"Elsevier BV","authors":"Smith Matthew M., Ramey Andrew M.","journalName":"International Journal for Parasitology: Parasites and Wildlife","publicationDate":"4/2015","auditedOn":"2/8/2015","publiclyAccessibleDate":"12/22/2014"},"contributors":{"authors":[{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":548517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":548518,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70142978,"text":"70142978 - 2015 - Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change","interactions":[],"lastModifiedDate":"2016-04-12T13:52:55","indexId":"70142978","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change","docAbstract":"<p>Longer, drier summers projected for arid and semi-arid regions of western North America under climate change are likely to have enormous consequences for water resources and river-dependent ecosystems. Many climate change scenarios for this region involve decreases in mean annual streamflow, late summer precipitation and late-summer streamflow in the coming decades. Intermittent streams are already common in this region, and it is likely that minimum flows will decrease and some perennial streams will shift to intermittent flow under climate-driven changes in timing and magnitude of precipitation and runoff, combined with increases in temperature. To understand current intermittency among streams and analyze the potential for streams to shift from perennial to intermittent under a warmer climate, we analyzed historic flow records from streams in the Upper Colorado River Basin (UCRB). Approximately two-thirds of 115 gaged stream reaches included in our analysis are currently perennial and the rest have some degree of intermittency. Dry years with combinations of high temperatures and low precipitation were associated with more zero-flow days. Mean annual flow was positively related to minimum flows, suggesting that potential future declines in mean annual flows will correspond with declines in minimum flows. The most important landscape variables for predicting low flow metrics were precipitation, percent snow, potential evapotranspiration, soils, and drainage area. Perennial streams in the UCRB that have high minimum-flow variability and low mean flows are likely to be most susceptible to increasing streamflow intermittency in the future.</p>","language":"English","publisher":"European Geophysical Society","publisherLocation":"New York, NY","doi":"10.1016/j.jhydrol.2015.02.025","usgsCitation":"Reynolds, L., Shafroth, P.B., and Poff, N.L., 2015, Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change: Journal of Hydrology, v. 523, p. 768-780, https://doi.org/10.1016/j.jhydrol.2015.02.025.","productDescription":"13 p.","startPage":"768","endPage":"780","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059776","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":298560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, 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,{"id":70147976,"text":"70147976 - 2015 - A real-time, quantitative PCR protocol for assessing the relative parasitemia of <i>Leucocytozoon</i> in waterfowl","interactions":[],"lastModifiedDate":"2015-05-11T09:38:52","indexId":"70147976","displayToPublicDate":"2015-04-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"A real-time, quantitative PCR protocol for assessing the relative parasitemia of <i>Leucocytozoon</i> in waterfowl","docAbstract":"<p>Microscopic examination of blood smears can be effective at diagnosing and quantifying hematozoa infections. However, this method requires highly trained observers, is time consuming, and may be inaccurate for detection of infections at low levels of parasitemia. To develop a molecular methodology for identifying and quantifying Leucocytozoon parasite infection in wild waterfowl (Anseriformes), we designed a real-time, quantitative PCR protocol to amplify Leucocytozoon mitochondrial DNA using TaqMan fluorogenic probes and validated our methodology using blood samples collected from waterfowl in interior Alaska during late summer and autumn (n = 105). By comparing our qPCR results to those derived from a widely used nested PCR protocol, we determined that our assay showed high levels of sensitivity (91%) and specificity (100%) in detecting Leucocytozoon DNA from host blood samples. Additionally, results of a linear regression revealed significant correlation between the raw measure of parasitemia produced by our qPCR assay (Ct values) and numbers of parasites observed on blood smears (R2 = 0.694, P = 0.003), indicating that our assay can reliably determine the relative parasitemia levels among samples. This methodology provides a powerful new tool for studies assessing effects of haemosporidian infection in wild avian species.</p>","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.mimet.2015.01.027","usgsCitation":"Smith, M.M., Schmutz, J.A., Apelgren, C., and Ramey, A.M., 2015, A real-time, quantitative PCR protocol for assessing the relative parasitemia of <i>Leucocytozoon</i> in waterfowl: Journal of Microbiological Methods, v. 111, p. 72-77, https://doi.org/10.1016/j.mimet.2015.01.027.","productDescription":"6 p.","startPage":"72","endPage":"77","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061964","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":300266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5551d2ade4b0a92fa7e93bce","chorus":{"doi":"10.1016/j.mimet.2015.01.027","url":"http://dx.doi.org/10.1016/j.mimet.2015.01.027","publisher":"Elsevier BV","authors":"Smith Matthew M., Schmutz Joel, Apelgren Chloe, Ramey Andrew M.","journalName":"Journal of Microbiological Methods","publicationDate":"4/2015","auditedOn":"3/9/2015"},"contributors":{"authors":[{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":546515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":546516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apelgren, Chloe","contributorId":140012,"corporation":false,"usgs":false,"family":"Apelgren","given":"Chloe","email":"","affiliations":[{"id":13356,"text":"University of Hawaii, Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":546557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":546517,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70147066,"text":"70147066 - 2015 - Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern","interactions":[],"lastModifiedDate":"2018-08-10T09:48:38","indexId":"70147066","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern","docAbstract":"<p>Surface water contamination by chemical pollutants increasingly threatens water quality around the world. Among the many contaminants found in surface water, there is growing concern regarding endocrine disrupting chemicals, based on their ability to interfere with some aspect of hormone action in exposed organisms, including humans. This study assessed water quality at several sites across Missouri (near wastewater treatment plants and airborne release sites of bisphenol A) based on hormone receptor activation potencies and chemical concentrationspresent in the surface water. We hypothesized that bisphenol A and ethinylestradiol would be greater in water near permitted airborne release sites and wastewater treatment plant inputs, respectively, and that these two compounds would be responsible for the majority of activities in receptor-based assays conducted with water collected near these sites. Concentrations of bisphenol A and ethinylestradiol were compared to observed receptor activities using authentic standards to assess contribution to total activities, and quantitation of a comprehensive set of wastewater compounds was performed to better characterize each site. Bisphenol A concentrations were found to be elevated in surface water near permitted airborne release sites, raising questions that airborne releases of BPA may influence nearby surface water contamination and may represent a previously underestimated source to the environment and potential for human exposure. Estrogen and androgen receptor activities of surface water samples were predictive of wastewater input, although the lower sensitivity of the ethinylestradiol ELISA relative to the very high sensitivity of the bioassay approaches did not allow a direct comparison. Wastewater-influenced sites also had elevated anti-estrogenic and anti-androgenic equivalence, while sites without wastewater discharges exhibited no antagonist activities.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.04.013","usgsCitation":"Kassotis, C., Alvarez, D., Taylor, J.A., vom Saal, F., Nagel, S., and Tillitt, D.E., 2015, Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern: Science of the Total Environment, v. 524-525, p. 384-393, https://doi.org/10.1016/j.scitotenv.2015.04.013.","productDescription":"10 p.","startPage":"384","endPage":"393","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063151","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":299912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"524-525","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5540af28e4b0a658d79392a3","contributors":{"authors":[{"text":"Kassotis, Christopher D.","contributorId":26967,"corporation":false,"usgs":true,"family":"Kassotis","given":"Christopher D.","affiliations":[],"preferred":false,"id":545610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A. dalvarez@usgs.gov","contributorId":139231,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":545611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Julia A.","contributorId":140428,"corporation":false,"usgs":false,"family":"Taylor","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":13494,"text":"Division of Biological Sciences, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":545612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"vom Saal, Frederick S.","contributorId":17488,"corporation":false,"usgs":true,"family":"vom Saal","given":"Frederick S.","affiliations":[],"preferred":false,"id":545613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagel, Susan C.","contributorId":56147,"corporation":false,"usgs":true,"family":"Nagel","given":"Susan C.","affiliations":[],"preferred":false,"id":545614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545609,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70144855,"text":"sir20145209 - 2015 - The Everglades Depth Estimation Network (EDEN) surface-water model, version 2","interactions":[],"lastModifiedDate":"2015-04-01T09:14:54","indexId":"sir20145209","displayToPublicDate":"2015-04-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5209","title":"The Everglades Depth Estimation Network (EDEN) surface-water model, version 2","docAbstract":"<p>The Everglades Depth Estimation Network (EDEN) is an integrated network of water-level gages, interpolation models that generate daily water-level and water-depth data, and applications that compute derived hydrologic data across the freshwater part of the greater Everglades landscape. The U.S. Geological Survey Greater Everglades Priority Ecosystems Science provides support for EDEN in order for EDEN to provide quality-assured monitoring data for the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan.</p>\n<p>The EDEN surface-water model, version 2 (V2), interpolates water-level data from a network of 240 gages to generate gridded daily water-level surfaces for the freshwater domain of the Everglades. When these spatiotemporal continuous surfaces are combined with EDEN&rsquo;s digital elevation model of ground surface, derived hydrologic data provide scientists and water managers working in the Everglades with data necessary to analyze ecological and biotic responses to hydrologic changes in the Everglades. Derived datasets include water depth, recession rates, days since last dry, water-surface slopes, and hydroperiod. The V2 model includes enhancements from the previous model (version 1; V1) to accommodate changes in the water-level gage network, adjustments to water-level data, improved understanding of the flow dynamics (particularly near canals), and installation of an elevation benchmark network. Enhancements to the V2 model included</p>\n<ul>\n<li>Expansion of the EDEN domain: The model domain was expanded to include a part of southern Big Cypress National Preserve and northwestern Everglades National Park upstream of the marsh mangrove wetlands, thus completing the coastal connection along the southwestern boundary of the model; and</li>\n</ul>\n<ul>\n<li>Development of subdomain models: To account for insufficient water-control structure gage data at some subbasin boundaries, subdomain models were developed for five subdomains, and the resulting water-level surfaces were merged to generate the final water-level surface.</li>\n</ul>\n<p>Model performance statistics show a general improvement in the V2 model as compared to the V1 model. Overall, the root mean squared error (RMSE) was reduced by 2.42 centimeters (cm) to 4.68 cm. In Water Conservation Area 3A North and Water Conservation Area 3B, the RMSE was reduced by 10.88 and 9.15 cm, respectively. In addition to evaluating model performance statistics, 2-cm water-level maps were generated and evaluated for irregular contours that would indicate a potential problem either with data input or water-level estimates.</p>\n<p>Three applications of the EDEN-modeled water surfaces and other EDEN datasets are presented in the report to show how scientists and resource managers are using EDEN datasets to analyze biological and ecological responses to hydrologic changes in the Everglades. The biological responses of two important Everglades species, alligators and wading birds, to changes in hydrology are described. The effects of hydrology on fire dynamics in the Everglades are also discussed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145209","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science and in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Telis, P., Xie, Z., Liu, Z., Li, Y., and Conrads, P., 2015, The Everglades Depth Estimation Network (EDEN) surface-water model, version 2: U.S. Geological Survey Scientific Investigations Report 2014-5209, Report: viii, 42 p. ; 3 Appendices, https://doi.org/10.3133/sir20145209.","productDescription":"Report: viii, 42 p. ; 3 Appendices","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050914","costCenters":[{"id":269,"text":"FLWSC-Ft. 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Water-level gages used to develop the EDEN surface-water model, version 2."},{"id":299242,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix2.xlsx","text":"Appendix 2","size":"14.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"This is an electronic copy of Appendix 2. Network of benchmarks in greater Everglades used to evaluate EDEN surface-water model."},{"id":299243,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix3.xlsx","text":"Appendix 3","size":"39.6 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3","linkHelpText":"This is an electronic copy of Appendix 3. Water-level measurements at elevation benchmarks and differences between the modeled surfaces for the EDEN surface-water model, versions 1 and 2."}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.93603515625,\n              25.12539261151203\n            ],\n            [\n              -81.93603515625,\n              26.41155054662258\n            ],\n            [\n              -80.00244140625,\n              26.41155054662258\n            ],\n            [\n              -80.00244140625,\n              25.12539261151203\n            ],\n            [\n              -81.93603515625,\n              25.12539261151203\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551d08a0e4b0256c24f42159","contributors":{"authors":[{"text":"Telis, Pamela A. patelis@usgs.gov","contributorId":140030,"corporation":false,"usgs":true,"family":"Telis","given":"Pamela A.","email":"patelis@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. 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,{"id":70128708,"text":"70128708 - 2015 - Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","interactions":[],"lastModifiedDate":"2016-07-08T14:42:20","indexId":"70128708","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","docAbstract":"<p>Stable-isotope analyses are valuable in karst settings, where characterizing biogeochemical cycling of carbon along groundwater flow paths is critical for understanding and protecting sensitive cave and karst water resources. This study quantified the seasonal changes in concentration and isotopic composition (<span>&delta;</span>13C) of aqueous and gaseous carbon species&mdash;dissolved inorganic carbon (DIC) and gaseous carbon dioxide (CO<sup>2</sup>)&mdash;to characterize sources and transfer of these species along a karst flow path, with emphasis on a cave environment. Gas and water samples were collected from the soil and a cave in northwestern Arkansas approximately once a month for one year to characterize carbon cycling along a conceptual groundwater flow path. In the soil, as the DIC concentration increased, the isotopic composition of the DIC became relatively lighter, indicating an organic carbon source for a component of the DIC and corroborating soil DIC as a proxy for soil respiration. In the cave, a positive correlation between DIC and surface temperature was due to increased soil respiration as the organic carbon signal from the soil was transferred to the cave environment via the aqueous phase. CO<sup>2</sup> concentration was lowest in the cave during colder months and increased exponentially with increasing surface temperature, presumably due to higher rates of soil respiration during warmer periods and changing ventilation patterns between the surface and cave atmosphere. Isotopic disequilibrium between CO<sup>2</sup> and DIC in the cave was greatest when CO<sup>2</sup> concentration was changing during November/ December and March/April, presumably due to the rapid addition or removal of gaseous CO<sup>2</sup>. The isotopic disequilibrium between DIC and CO<sup>2</sup> provided evidence that cave CO<sup>2</sup> was a mixture of carbon from several sources, which was mostly constrained by mixture between atmospheric CO<sup>2</sup> and soil CO<sup>2</sup>. The concentration and isotopic composition of gaseous and aqueous carbon species were controlled by month-to-month variations in temperature and precipitation and provided insight into the sources of carbon in the cave. Stable carbon isotope ratios provided an effective tool to explore carbon transfer from the soil zone and into the cave, identify carbon sources in the cave, and investigate how seasonality affected the transfer of carbon in a shallow karst system.</p>","language":"English","publisher":"National Speleological Society","doi":"10.4311/2011ES0264","usgsCitation":"Knierim, K., Pollock, E., Hays, P.D., and Khojasteh, J., 2015, Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave: Journal of Cave and Karst Studies, v. 77, no. 1, p. 12-27, https://doi.org/10.4311/2011ES0264.","productDescription":"16 p.","startPage":"12","endPage":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060256","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":472176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4311/2011es0264","text":"Publisher Index Page"},{"id":324944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cec2e4b08116168223fb","contributors":{"authors":[{"text":"Knierim, Katherine J. kknierim@usgs.gov","contributorId":5991,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine J.","email":"kknierim@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Erik","contributorId":146296,"corporation":false,"usgs":false,"family":"Pollock","given":"Erik","affiliations":[],"preferred":false,"id":641975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khojasteh, Jam","contributorId":172772,"corporation":false,"usgs":false,"family":"Khojasteh","given":"Jam","email":"","affiliations":[],"preferred":false,"id":641977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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