{"pageNumber":"1199","pageRowStart":"29950","pageSize":"25","recordCount":165309,"records":[{"id":70137612,"text":"70137612 - 2015 - From mobile ADCP to high-resolution SSC: a cross-section calibration tool","interactions":[],"lastModifiedDate":"2016-03-09T15:15:35","indexId":"70137612","displayToPublicDate":"2015-04-23T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"From mobile ADCP to high-resolution SSC: a cross-section calibration tool","docAbstract":"<p>Sediment is a major cause of stream impairment, and improved sediment monitoring is a crucial need. Point samples of suspended-sediment concentration (SSC) are often not enough to provide an understanding to answer critical questions in a changing environment. As technology has improved, there now exists the opportunity to obtain discrete measurements of SSC and flux while providing a spatial scale unmatched by any other device. Acoustic instruments are ubiquitous in the U.S. Geological Survey (USGS) for making streamflow measurements but when calibrated with physical sediment samples, they may be used for sediment measurements as well. The acoustic backscatter measured by an acoustic Doppler current profiler (ADCP) has long been known to correlate well with suspended sediment, but until recently, it has mainly been qualitative in nature. This new method using acoustic surrogates has great potential to leverage the routine data collection to provide calibrated, quantitative measures of SSC which hold promise to be more accurate, complete, and cost efficient than other methods. This extended abstract presents a method for the measurement of high spatial and temporal resolution SSC using a down-looking, mobile ADCP from discrete cross-sections. The high-resolution scales of sediment data are a primary advantage and a vast improvement over other discrete methods for measuring SSC. Although acoustic surrogate technology using continuous, fixed-deployment ADCPs (side-looking) is proven, the same methods cannot be used with down-looking ADCPs due to the fact that the SSC and particle-size distribution variation in the vertical profile violates theory and complicates assumptions. A software tool was developed to assist in using acoustic backscatter from a down-looking, mobile ADCP as a surrogate for SSC. This tool has a simple graphical user interface that loads the data, assists in the calibration procedure, and provides data visualization and output options. This tool is designed to improve ongoing efforts to monitor and predict resource responses to a changing environment. Because ADCPs are used routinely for streamflow measurements, using acoustic backscatter from ADCPs as a surrogate for SSC has the potential to revolutionize sediment measurements by providing rapid measurements of sediment flux and distribution at spatial and temporal scales that are far beyond the capabilities of traditional physical samplers.</p>","conferenceTitle":"SEDHYD 2015","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, Nevada","language":"English","usgsCitation":"Boldt, J., 2015, From mobile ADCP to high-resolution SSC: a cross-section calibration tool, SEDHYD 2015, Reno, Nevada, April 19-23, 2015, 3 p.","productDescription":"3 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061674","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":310966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389752e4b0d6133fe72fb3","contributors":{"authors":[{"text":"Boldt, Justin A. jboldt@usgs.gov","contributorId":4375,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin A.","email":"jboldt@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537981,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70137268,"text":"70137268 - 2015 - Estimating concentrations of fine-grained and total suspended sediment from close-range remote sensing imagery","interactions":[],"lastModifiedDate":"2015-10-26T11:27:56","indexId":"70137268","displayToPublicDate":"2015-04-23T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating concentrations of fine-grained and total suspended sediment from close-range remote sensing imagery","docAbstract":"<p>Fluvial sediment, a vital surface water resource, is hazardous in excess. Suspended sediment, the most prevalent source of impairment of river systems, can adversely affect flood control, navigation, fisheries and aquatic ecosystems, recreation, and water supply (e.g., Rasmussen et al., 2009; Qu, 2014). Monitoring programs typically focus on suspended-sediment concentration (SSC) and discharge (SSQ). These time-series data are used to study changes to basin hydrology, geomorphology, and ecology caused by disturbances. The U.S. Geological Survey (USGS) has traditionally used physical sediment sample-based methods (Edwards and Glysson, 1999; Nolan et al., 2005; Gray et al., 2008) to compute SSC and SSQ from continuous streamflow data using a sediment transport-curve (e.g., Walling, 1977) or hydrologic interpretation (Porterfield, 1972). Accuracy of these data is typically constrained by the resources required to collect and analyze intermittent physical samples. Quantifying SSC using continuous instream turbidity is rapidly becoming common practice among sediment monitoring programs. Estimations of SSC and SSQ are modeled from linear regression analysis of concurrent turbidity and physical samples. Sediment-surrogate technologies such as turbidity promise near real-time information, increased accuracy, and reduced cost compared to traditional physical sample-based methods (Walling, 1977; Uhrich and Bragg, 2003; Gray and Gartner, 2009; Rasmussen et al., 2009; Landers et al., 2012; Landers and Sturm, 2013; Uhrich et al., 2014). Statistical comparisons among SSQ computation methods show that turbidity-SSC regression models can have much less uncertainty than streamflow-based sediment transport-curves or hydrologic interpretation (Walling, 1977; Lewis, 1996; Glysson et al., 2001; Lee et al., 2008). However, computation of SSC and SSQ records from continuous instream turbidity data is not without challenges; some of these include environmental fouling, calibration, and data range among sensors. Of greatest interest to many programs is a hysteresis in the relationship between turbidity and SSC, attributed to temporal variation of particle size distribution (Landers and Sturm, 2013; Uhrich et al., 2014). This phenomenon causes increased uncertainty in regression-estimated values of SSC, due to changes in nephelometric reflectance off the varying grain sizes in suspension (Uhrich et al., 2014). Here, we assess the feasibility and application of close-range remote sensing to quantify SSC and particle size distribution of a disturbed, and highly-turbid, river system. We use a consumer-grade digital camera to acquire imagery of the river surface and a depth-integrating sampler to collect concurrent suspended-sediment samples. We then develop two empirical linear regression models to relate image spectral information to concentrations of fine sediment (clay to silt) and total suspended sediment. Before presenting our regression model development, we briefly summarize each data-acquisition method.</p>","conferenceTitle":"SEDHYD 2015","conferenceDate":"19-23 April, 2015","conferenceLocation":"Reno, Nevada","language":"English","collaboration":"Federal Interagency Sediment Program","usgsCitation":"Mosbrucker, A.R., Spicer, K.R., Christianson, T.S., and Uhrich, M.A., 2015, Estimating concentrations of fine-grained and total suspended sediment from close-range remote sensing imagery, SEDHYD 2015, Reno, Nevada, 19-23 April, 2015, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060181","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":310634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562f4eb1e4b093cee780a287","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christianson, Tami S. 0000-0002-6873-9229 tchristianson@usgs.gov","orcid":"https://orcid.org/0000-0002-6873-9229","contributorId":5986,"corporation":false,"usgs":true,"family":"Christianson","given":"Tami","email":"tchristianson@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uhrich, Mark A. 0000-0002-5202-8086 mauhrich@usgs.gov","orcid":"https://orcid.org/0000-0002-5202-8086","contributorId":1149,"corporation":false,"usgs":true,"family":"Uhrich","given":"Mark","email":"mauhrich@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537626,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70138660,"text":"70138660 - 2015 - Characterizing and simulating sediment loads and transport in the lower part of the San Antonio River Basin","interactions":[],"lastModifiedDate":"2015-10-26T11:19:46","indexId":"70138660","displayToPublicDate":"2015-04-23T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Characterizing and simulating sediment loads and transport in the lower part of the San Antonio River Basin","docAbstract":"<p>This extended abstract is based on the U.S. Geological Survey Scientific Investigations Reports by Crow et al. (2013) and Banta and Ockerman (2014). Suspended sediment in rivers and streams can play an important role in ecological health of rivers and estuaries and consequently is an important issue for water-resource managers. The quantity and type of suspended sediment can affect the biological communities (Wood and Armitage, 1997), the concentration and movement of natural constituents and anthropogenic contaminants (Moran and others, 2012), and the amount of sediment deposition in coastal environments (Milliman and Meade, 1983). To better understand suspended-sediment characteristics in the San Antonio River Basin, the U.S. Geological Survey (USGS), in cooperation with the San Antonio River Authority and Texas Water Development Board, conducted a two-phase study to (1) collect and analyze sediment data to characterize sediment conditions in the San Antonio River downstream of San Antonio, Texas, and (2) develop and calibrate a watershed model to simulate hydrologic conditions and suspended-sediment loads for four watersheds in the San Antonio River Basin, downstream from San Antonio, Texas.</p>","conferenceTitle":"SedHydro 2015","conferenceDate":"19-23 April 2015","conferenceLocation":"Reno, Nevada","language":"English","publisher":"SedHydro Conference","usgsCitation":"Banta, J., Ockerman, D.J., Crow, C., and Opsahl, S.P., 2015, Characterizing and simulating sediment loads and transport in the lower part of the San Antonio River Basin, SedHydro 2015, Reno, Nevada, 19-23 April 2015, 6 p.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062689","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":310633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"San Antonio River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.82525634765625,\n              28.47110572883182\n            ],\n            [\n              -97.12326049804688,\n              28.64359439042694\n            ],\n            [\n              -97.8826904296875,\n              29.165353121242656\n            ],\n            [\n              -98.06259155273438,\n              29.26124274448168\n            ],\n            [\n              -98.2012939453125,\n              29.099376992628493\n            ],\n            [\n              -98.19717407226562,\n              28.841064894531943\n            ],\n            [\n              -97.70690917968749,\n              28.674925574564284\n            ],\n            [\n              -97.10128784179688,\n              28.426429818183024\n            ],\n            [\n              -96.84997558593749,\n              28.411936281507902\n            ],\n            [\n              -96.82388305664062,\n              28.456618312416825\n            ],\n            [\n              -96.84173583984374,\n              28.480762902990307\n            ],\n            [\n              -96.82525634765625,\n              28.47110572883182\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562f4eafe4b093cee780a27e","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270 jbanta@usgs.gov","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":4723,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","email":"jbanta@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":538881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crow, Cassi","contributorId":149426,"corporation":false,"usgs":false,"family":"Crow","given":"Cassi","affiliations":[],"preferred":false,"id":578350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578351,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204455,"text":"70204455 - 2015 - Sublethal red tide toxin exposure in free-ranging manatees (Trichechus manatus) affects the immune system through reduced lymphocyte proliferation responses, inflammation, and oxidative stress","interactions":[],"lastModifiedDate":"2019-07-25T14:34:27","indexId":"70204455","displayToPublicDate":"2015-04-22T14:25:45","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sublethal red tide toxin exposure in free-ranging manatees  (<i>Trichechus manatus</i>) affects the immune system through reduced lymphocyte proliferation responses, inflammation, and oxidative stress","title":"Sublethal red tide toxin exposure in free-ranging manatees (Trichechus manatus) affects the immune system through reduced lymphocyte proliferation responses, inflammation, and oxidative stress","docAbstract":"<p><span>The health of many Florida manatees (Trichechus manatus latirostris) is adversely affected by exposure to blooms of the toxic dinoflagellate, Karenia brevis. K. brevis blooms are common in manatee habitats of Florida's southwestern coast and produce a group of cyclic polyether toxins collectively referred to as red tide toxins, or brevetoxins. Although a large number of manatees exposed to significant levels of red tide toxins die, several manatees are rescued from sublethal exposure and are successfully treated and returned to the wild. Sublethal brevetoxin exposure may potentially impact the manatee immune system. Lymphocyte proliferative responses and a suite of immune function parameters in the plasma were used to evaluate effects of brevetoxin exposure on health of manatees rescued from natural exposure to red tide toxins in their habitat. Blood samples were collected from rescued manatees at Lowry Park Zoo in Tampa, FL and from healthy, unexposed manatees in Crystal River, FL. Peripheral blood leukocytes (PBL) isolated from whole blood were stimulated with T-cell mitogens, ConA and PHA. A suite of plasma parameters, including plasma protein electrophoresis profiles, lysozyme activity, superoxide dismutase (SOD) activity, and reactive oxygen/nitrogen (ROS/RNS) species, was also used to assess manatee health. Significant decreases (p&lt;0.05) in lymphocyte proliferation were observed in ConA and PHA stimulated lymphocytes from rescued animals compared to non-exposed animals. Significant correlations were observed between oxidative stress markers (SOD, ROS/RNS) and plasma brevetoxin concentrations. Sublethal exposure to brevetoxins in the wild impacts some immune function components, and thus, overall health, in the Florida manatee.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2015.01.019","usgsCitation":"Walsh, C., Butawan, M., Yordy, J., Ball, R., de Witt, M., and Bonde, R.K., 2015, Sublethal red tide toxin exposure in free-ranging manatees (Trichechus manatus) affects the immune system through reduced lymphocyte proliferation responses, inflammation, and oxidative stress: Aquatic Toxicology, v. 161, p. 73-84, https://doi.org/10.1016/j.aquatox.2015.01.019.","productDescription":"12 p.","startPage":"73","endPage":"84","ipdsId":"IP-060017","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":365958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.64990234375,\n              24.766784522874453\n            ],\n            [\n              -80.96923828125,\n              24.766784522874453\n            ],\n            [\n              -80.96923828125,\n              28.188243641850313\n            ],\n            [\n              -83.64990234375,\n              28.188243641850313\n            ],\n            [\n              -83.64990234375,\n              24.766784522874453\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, C.J.","contributorId":217523,"corporation":false,"usgs":false,"family":"Walsh","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":767000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butawan, M.","contributorId":217524,"corporation":false,"usgs":false,"family":"Butawan","given":"M.","email":"","affiliations":[],"preferred":false,"id":767001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yordy, J.","contributorId":217525,"corporation":false,"usgs":false,"family":"Yordy","given":"J.","email":"","affiliations":[],"preferred":false,"id":767002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, R.","contributorId":217526,"corporation":false,"usgs":false,"family":"Ball","given":"R.","email":"","affiliations":[],"preferred":false,"id":767003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Witt, M.","contributorId":217527,"corporation":false,"usgs":false,"family":"de Witt","given":"M.","email":"","affiliations":[],"preferred":false,"id":767007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":767008,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70135096,"text":"fs20143101 - 2015 - Rhenium: a rare metal critical in modern transportation","interactions":[],"lastModifiedDate":"2015-04-23T09:30:46","indexId":"fs20143101","displayToPublicDate":"2015-04-22T13:15:00","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":"2014-3101","title":"Rhenium: a rare metal critical in modern transportation","docAbstract":"<p>Rhenium is a silvery-white, metallic element with an extremely high melting point (3,180 degrees Celsius) and a heat-stable crystalline structure, making it exceptionally resistant to heat and wear. Since the late 1980s, rhenium has been critical for superalloys used in turbine blades and in catalysts used to produce lead-free gasoline.</p>\n<p>One of the rarest elements, rhenium has an average abundance of less than one part per billion in the continental crust. Rhenium was the last stable, naturally occurring element discovered. Although its existence was predicted in 1871&mdash;Russian chemist Dmitri Mendeleev noted two vacant slots below manganese on the periodic table of elements&mdash;rhenium was not isolated until 1925, when German chemists Walker Noddack, Ida Tacke, and Otto Berg detected it in platinum ore.</p>\n<p>Rhenium rarely occurs as a native element or as its own sulfide&nbsp;mineral&mdash;rheniite (ReS<sub>2</sub>)&mdash;and often occurs as a substitute for molybdenum in molybdenite (MoS<sub>2</sub>). Most extracted rhenium is a byproduct of copper mining, with about 80 percent recovered from flue dust during the processing of molybdenite concentrates from porphyry copper deposits.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143101","usgsCitation":"John, D.A., 2015, Rhenium: a rare metal critical in modern transportation: U.S. Geological Survey Fact Sheet 2014-3101, 2 p., https://doi.org/10.3133/fs20143101.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054779","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":299820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143101.jpg"},{"id":299816,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3101/"},{"id":299817,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3101/pdf/fs2014-3101.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5538b817e4b02c4db8d20ce6","contributors":{"authors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":526813,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70150424,"text":"70150424 - 2015 - Fine-scale pathways used by adult sea lampreys during riverine spawning migrations","interactions":[],"lastModifiedDate":"2016-12-19T11:24:26","indexId":"70150424","displayToPublicDate":"2015-04-22T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale pathways used by adult sea lampreys during riverine spawning migrations","docAbstract":"<p>Better knowledge of upstream migratory patterns of spawning Sea Lampreys <i>Petromyzon marinus</i>, an invasive species in the Great Lakes, is needed to improve trapping for population control and assessment. Although trapping of adult Sea Lampreys provides the basis for estimates of lake-wide abundance that are used to evaluate the Sea Lamprey control program, traps have only been operated at dams due to insufficient knowledge of Sea Lamprey behavior in unobstructed channels. Acoustic telemetry and radiotelemetry were used to obtain movement tracks for 23 Sea Lampreys in 2008 and 18 Sea Lampreys in 2009 at two locations in the Mississagi River, Ontario. Cabled hydrophone arrays provided two-dimensional geographic positions from acoustic transmitters at 3-s intervals; depth-encoded radio tag detections provided depths. Upstream movements occurred at dusk or during the night (2015&ndash;0318 hours). Sea Lampreys were closely associated with the river bottom and showed some preference to move near banks in shallow glide habitats, suggesting that bottom-oriented gears could selectively target adult Sea Lampreys in some habitats. However, Sea Lampreys were broadly distributed across the river channel, suggesting that the capture efficiency of nets and traps in open channels would depend heavily on the proportion of the channel width covered. Lack of vertical movements into the water column may have reflected lamprey preference for low water velocities, suggesting that energy conservation was more beneficial for lampreys than was vertical searching in rivers. Improved understanding of Sea Lamprey movement will assist in the development of improved capture strategies for their assessment and control in the Great Lakes.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2015.1017657","usgsCitation":"Holbrook, C., Bergstedt, R.A., Adams, N.S., Hatton, T., and McLaughlin, R.L., 2015, Fine-scale pathways used by adult sea lampreys during riverine spawning migrations: Transactions of the American Fisheries Society, v. 144, no. 3, p. 549-562, https://doi.org/10.1080/00028487.2015.1017657.","productDescription":"14 p.","startPage":"549","endPage":"562","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062748","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":305427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Mississagi River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.21422576904295,\n              46.262730605234445\n            ],\n            [\n              -83.2075309753418,\n              46.2565589744287\n            ],\n            [\n              -83.20135116577148,\n              46.25537204270996\n            ],\n            [\n              -83.18864822387695,\n              46.25216719874425\n            ],\n            [\n              -83.17337036132812,\n              46.25121757937995\n            ],\n            [\n              -83.17182540893555,\n              46.25454117522087\n            ],\n            [\n              -83.1859016418457,\n              46.2554907370379\n            ],\n            [\n              -83.19757461547852,\n              46.2566776661876\n            ],\n            [\n              -83.20032119750977,\n              46.25928881988602\n            ],\n            [\n              -83.20976257324219,\n              46.262967961777214\n            ],\n            [\n              -83.21422576904295,\n              46.262730605234445\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"144","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-22","publicationStatus":"PW","scienceBaseUri":"55926cb5e4b0b6d21dd677d2","contributors":{"authors":[{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":556849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":556850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":556851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatton, Tyson thatton@usgs.gov","contributorId":3573,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson","email":"thatton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":556852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLaughlin, Robert L.","contributorId":143707,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":556853,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70131496,"text":"fs20143077 - 2015 - Tellurium: providing a bright future for solar energy","interactions":[],"lastModifiedDate":"2015-04-23T09:32:42","indexId":"fs20143077","displayToPublicDate":"2015-04-22T01:15:00","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":"2014-3077","title":"Tellurium: providing a bright future for solar energy","docAbstract":"<p>Tellurium is one of the least common elements on Earth. Most rocks contain an average of about 3 parts per billion tellurium, making it rarer than the rare earth elements and eight times less abundant than gold. Grains of native tellurium appear in rocks as a brittle, silvery-white material, but tellurium more commonly occurs in telluride minerals that include varied quantities of gold, silver, or platinum. Tellurium is a metalloid, meaning it possesses the properties of both metals and nonmetals.</p>\n<p>Tellurium was discovered within gold ores in the late 1780s in Transylvania, Romania. Fifteen years later, the element was isolated as a distinct substance and named tellurium, after the Latin word &ldquo;tellus,&rdquo; which means &ldquo;fruit of the Earth.&rdquo; Recovered tellurium has historically been used in metallurgy as an additive to stainless steel and in alloys made with copper, lead, and iron.</p>\n<p>Because of its low abundance, little is known about environmental baseline concentrations for tellurium or its toxic effect on humans and ecosystems. Human exposure to tellurium can lead to a garlic odor on the breath, nausea, and eventual respiratory problems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143077","usgsCitation":"Goldfarb, R.J., 2015, Tellurium: providing a bright future for solar energy: U.S. Geological Survey Fact Sheet 2014-3077, 2 p., https://doi.org/10.3133/fs20143077.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055430","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":299824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143077.jpg"},{"id":299823,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3077/pdf/fs2014-3077.pdf","text":"Report","size":"1.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3077/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5538b819e4b02c4db8d20ce8","contributors":{"authors":[{"text":"Goldfarb, Richard J. goldfarb@usgs.gov","contributorId":1205,"corporation":false,"usgs":true,"family":"Goldfarb","given":"Richard","email":"goldfarb@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":521305,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70154844,"text":"70154844 - 2015 - Translocation of Humpback Chub into tributary streams of the Colorado River: Implications for conservation of large-river fishes","interactions":[],"lastModifiedDate":"2016-04-12T14:27:58","indexId":"70154844","displayToPublicDate":"2015-04-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Translocation of Humpback Chub into tributary streams of the Colorado River: Implications for conservation of large-river fishes","docAbstract":"<p><span>The Humpback Chub&nbsp;</span><i>Gila cypha</i><span>, a large-bodied, endangered cyprinid endemic to the Colorado River basin, is in decline throughout most of its range due largely to anthropogenic factors. Translocation of Humpback Chub into tributaries of the Colorado River is one conservation activity that may contribute to the expansion of the species&rsquo; current range and eventually provide population redundancy. We evaluated growth, survival, and dispersal following translocation of approximately 900 Humpback Chub over a period of 3&nbsp;years (2009, 2010, and 2011) into Shinumo Creek, a tributary stream of the Colorado River within Grand Canyon National Park. Growth and condition of Humpback Chub in Shinumo Creek were consistent among year-classes and equaled or surpassed growth estimates from both the main-stem Colorado River and the Little Colorado River, where the largest (and most stable) Humpback Chub aggregation remains. Based on passive integrated tag recoveries, 53% ( = 483/902) of translocated Humpback Chub dispersed from Shinumo Creek into the main-stem Colorado River as of January 2013, 35% leaving within 25 d following translocation. Annual apparent survival estimates within Shinumo Creek ranged from 0.22 to 0.41, but were strongly influenced by emigration. Results indicate that Shinumo Creek provides favorable conditions for growth and survival of translocated Humpback Chub and could support a new population if reproduction and recruitment occur in the future. Adaptation of translocation strategies of Humpback Chub into tributary streams ultimately may refine the role translocation plays in recovery of the species.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2015.1007165","usgsCitation":"Spurgeon, J., Paukert, C.P., Healy, B., Trammell, M., Speas, D., and Smith, E.O., 2015, Translocation of Humpback Chub into tributary streams of the Colorado River: Implications for conservation of large-river fishes: Transactions of the American Fisheries Society, v. 144, no. 3, p. 502-514, https://doi.org/10.1080/00028487.2015.1007165.","productDescription":"12 p.","startPage":"502","endPage":"514","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park, Shinumo Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.34833717346191,\n              36.2365198503968\n            ],\n            [\n              -112.34807968139648,\n              36.23755828801581\n            ],\n            [\n              -112.34842300415039,\n              36.23894285005125\n            ],\n            [\n              -112.34919548034668,\n              36.240604292124466\n            ],\n            [\n              -112.34919548034668,\n              36.242473372247204\n            ],\n            [\n              -112.34833717346191,\n              36.24330406017798\n            ],\n            [\n              -112.34739303588867,\n              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         36.23714291462341\n            ],\n            [\n              -112.34936714172363,\n              36.23631216121777\n            ],\n            [\n              -112.34833717346191,\n              36.2365198503968\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"144","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-22","publicationStatus":"PW","scienceBaseUri":"55c9cb38e4b08400b1fdb728","contributors":{"authors":[{"text":"Spurgeon, Jonathan J.","contributorId":146395,"corporation":false,"usgs":false,"family":"Spurgeon","given":"Jonathan J.","affiliations":[],"preferred":false,"id":567719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Brian D.","contributorId":61553,"corporation":false,"usgs":true,"family":"Healy","given":"Brian D.","affiliations":[],"preferred":false,"id":567720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trammell, Melissa","contributorId":47675,"corporation":false,"usgs":true,"family":"Trammell","given":"Melissa","affiliations":[],"preferred":false,"id":567721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Speas, Dave","contributorId":35221,"corporation":false,"usgs":true,"family":"Speas","given":"Dave","affiliations":[],"preferred":false,"id":567722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Emily Omana","contributorId":33608,"corporation":false,"usgs":true,"family":"Smith","given":"Emily","email":"","middleInitial":"Omana","affiliations":[],"preferred":false,"id":567723,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155368,"text":"70155368 - 2015 - Alternative standardization approaches to improving streamflow reconstructions with ring-width indices of riparian trees","interactions":[],"lastModifiedDate":"2015-08-07T15:04:58","indexId":"70155368","displayToPublicDate":"2015-04-21T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Alternative standardization approaches to improving streamflow reconstructions with ring-width indices of riparian trees","docAbstract":"<p>Old, multi-aged populations of riparian trees provide an opportunity to improve reconstructions of streamflow. Here, ring widths of 394 plains cottonwood (Populus deltoids, ssp. monilifera) trees in the North Unit of Theodore Roosevelt National Park, North Dakota, are used to reconstruct streamflow along the Little Missouri River (LMR), North Dakota, US. Different versions of the cottonwood chronology are developed by (1) age-curve standardization (ACS), using age-stratified samples and a single estimated curve of ring width against estimated ring age, and (2) time-curve standardization (TCS), using a subset of longer ring-width series individually detrended with cubic smoothing splines of width against year. The cottonwood chronologies are combined with the first principal component of four upland conifer chronologies developed by conventional methods to investigate the possible value of riparian tree-ring chronologies for streamflow reconstruction of the LMR. Regression modeling indicates that the statistical signal for flow is stronger in the riparian cottonwood than in the upland chronologies. The flow signal from cottonwood complements rather than repeats the signal from upland conifers and is especially strong in young trees (e.g. 5&ndash;35 years). Reconstructions using a combination of cottonwoods and upland conifers are found to explain more than 50% of the variance of LMR flow over a 1935&ndash;1990 calibration period and to yield reconstruction of flow to 1658. The low-frequency component of reconstructed flow is sensitive to the choice of standardization method for the cottonwood. In contrast to the TCS version, the ACS reconstruction features persistent low flows in the 19th century. Results demonstrate the value to streamflow reconstruction of riparian cottonwood and suggest that more studies are needed to exploit the low-frequency streamflow signal in densely sampled age-stratified stands of riparian trees.</p>","language":"English","publisher":"SAGE","doi":"10.1177/0959683615580181","usgsCitation":"Meko, D.M., Friedman, J.M., Touchan, R., Edmondson, J.R., Griffin, E.R., and Scott, J.A., 2015, Alternative standardization approaches to improving streamflow reconstructions with ring-width indices of riparian trees: The Holocene, v. 25, no. 7, p. 1093-1101, https://doi.org/10.1177/0959683615580181.","productDescription":"9 p.","startPage":"1093","endPage":"1101","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060259","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":306511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, Soutb Dakota, Wyoming","otherGeospatial":"Burning Coal Vein, Devil's Tower National Monument, Eagle Nest Canyon, Little Missouri River, North Dakota, Montana, North Unit of Theodore Roosevelt National Park, South Dakota, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.535400390625,\n              47.879512933970496\n            ],\n            [\n              -103.150634765625,\n              47.87214396888731\n            ],\n            [\n              -103.86474609375,\n              47.249406957888446\n            ],\n            [\n              -104.34814453125,\n              46.66451741754235\n            ],\n            [\n              -105.57861328125,\n              44.6061127451739\n            ],\n            [\n              -105.281982421875,\n              44.20583500104184\n            ],\n            [\n              -104.315185546875,\n              44.2294565683017\n            ],\n            [\n              -103.919677734375,\n              44.86365630540611\n            ],\n            [\n              -102.711181640625,\n              47.16730970131578\n            ],\n            [\n              -102.20581054687499,\n              47.857402894658236\n            ],\n            [\n              -102.535400390625,\n              47.879512933970496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-21","publicationStatus":"PW","scienceBaseUri":"57f7ef3ae4b0bc0bec09efab","contributors":{"authors":[{"text":"Meko, David M.","contributorId":145887,"corporation":false,"usgs":false,"family":"Meko","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":565570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":565569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Touchan, Ramzi","contributorId":145888,"corporation":false,"usgs":false,"family":"Touchan","given":"Ramzi","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":565571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmondson, Jesse R.","contributorId":145889,"corporation":false,"usgs":false,"family":"Edmondson","given":"Jesse","email":"","middleInitial":"R.","affiliations":[{"id":16283,"text":"University of Arkansas, Tree-Ring Laboratory","active":true,"usgs":false}],"preferred":false,"id":565572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - 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Forest Service, National Stream and Aquatic Ecology Center","active":true,"usgs":false}],"preferred":false,"id":565574,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70137273,"text":"sir20145233 - 2015 - Water quality of groundwater and stream base flow in the Marcellus Shale Gas Field of the Monongahela River Basin, West Virginia, 2011-12","interactions":[],"lastModifiedDate":"2015-06-25T13:10:28","indexId":"sir20145233","displayToPublicDate":"2015-04-21T10:00:00","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":"2014-5233","title":"Water quality of groundwater and stream base flow in the Marcellus Shale Gas Field of the Monongahela River Basin, West Virginia, 2011-12","docAbstract":"<p>The Marcellus Shale gas field underlies portions of New York, Pennsylvania, Ohio, Virginia, Maryland, Tennessee, and West Virginia. Development of hydraulic fracturing and horizontal drilling technology led to extensive development of gas from the Marcellus Shale beginning about 2007. The need to identify and monitor changes in water-quality conditions related to development of the Marcellus Shale gas field prompted the U.S. Geological Survey, in cooperation with the West Virginia Department of Environmental Protection, Division of Water and Waste Management, to document water quality for comparison with water quality in samples collected at a future date. The identification of change in water-quality conditions over time is more difficult if baseline water-quality conditions have not been&nbsp;documented.</p>\n<p>U.S. Geological Survey personnel sampled groundwater and surface water in West Virginia&rsquo;s Monongahela River Basin during 2011&ndash;12. A groundwater survey, in which 39 wells and 2 springs were sampled, was conducted during June through September 2011. A base-flow survey was conducted during July through October&nbsp;2012; 50&nbsp;stream sites were sampled under base-flow conditions in this&nbsp;survey.</p>\n<p>Because additives to hydraulic fracturing fluids are variable and decrease in flowback water over a relatively short time, water-quality analyses for this study focused on documenting the water-quality characteristics typical of water from shallow aquifers; water derived from contact with the Marcellus Shale (flowback from hydraulic fracturing or formation water); and water with constituents from conventional oil and gas development, sewage effluent, and coal-mine drainage. All samples were analyzed for field properties (water temperature, pH, specific conductance, dissolved oxygen, and turbidity), major ions, trace elements, naturally occurring radioactive materials, and stable&nbsp;isotopes.</p>\n<p>In addition to documenting baseline water-quality conditions for an area of shale-gas development, these data were examined for patterns in water quality. Groundwater and base-flow survey data were compared to historical data from the Monongahela River Basin in West Virginia. Additionally, groundwater- and base-flow survey samples were grouped by Marcellus Shale gas production in the subbasin in which that sampling site was&nbsp;located.</p>\n<p>The comparisons of data collected as part of this study with historical data identified few differences. No significant difference was found in a comparison of groundwater survey data and historical data. Base-flow survey samples differed significantly from historical data for pH, chloride, and strontium, all of which had higher concentrations in the base-flow survey samples. Differences in pH are likely related to changes in mining regulation beginning in 1977. Concentrations of chloride and strontium elevated above background concentrations may be related to saline groundwater; saline water is within 300&nbsp;feet of the land surface in parts of the study&nbsp;area.</p>\n<p>In the comparison of base-flow survey samples grouped by shale-gas-production setting, significant differences were found for fluoride and barium. Concentrations of fluoride and barium were higher in stream subbasins with active Marcellus Shale production than in subbasins not near active Marcellus Shale production. Elevated fluoride and barium are associated with deep&nbsp;brines.</p>\n<p>Generally, naturally occurring radioactive materials were not found in elevated concentrations in either groundwater or base-flow samples. Only 3&nbsp;samples, 2 from the groundwater survey and one from the base-flow survey, exceeded the U.S. Environmental Protection Agency maximum contaminant level for radium isotopes of 5.0&nbsp;picocurie per liter for either a single isotope or a combined value of radium-226 and radium-228.</p>\n<p>Stable isotope composition indicates broad similarity among surface water, shallow groundwater, and precipitation in the region. Neither shallow groundwater nor surface water showed a marked similarity with the deep brines associated with shale gas. In most of the groundwater survey samples, 38 of 41&nbsp;samples, dissolved gas profiles were similar to those previously found in samples from shallow, domestic wells in the&nbsp;region.</p>\n<p>This study provides a baseline of water-quality conditions in the Monongahela River Basin in West Virginia during the early phases of development of the Marcellus Shale gas field. Although not all inclusive, the results of this study provide a set of reliable water-quality data against which future data sets can be compared and the effects of shale-gas development may be&nbsp;determined.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145233","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection, Division of Water and Waste Management","usgsCitation":"Chambers, D., Kozar, M.D., Messinger, T., Mulder, M.L., Pelak, A.J., and White, J.S., 2015, Water quality of groundwater and stream base flow in the Marcellus Shale Gas Field of the Monongahela River Basin, West Virginia, 2011-12 (Version 1. Originally posted April 21, 2015; Version 1.1: June 25, 2015): U.S. Geological Survey Scientific Investigations Report 2014-5233, viii, 76 p., https://doi.org/10.3133/sir20145233.","productDescription":"viii, 76 p.","numberOfPages":"88","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-06-01","temporalEnd":"2012-10-31","ipdsId":"IP-057547","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":299612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145233.jpg"},{"id":299611,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5233/pdf/sir2014-5233.pdf","text":"Report","size":"7.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299610,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5233/"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.0955810546875,\n              38.08701320402273\n            ],\n            [\n              -81.123046875,\n              39.80853604144591\n            ],\n            [\n              -78.62091064453125,\n              39.80431612840035\n            ],\n            [\n              -78.7005615234375,\n              38.08701320402273\n            ],\n            [\n              -81.0955810546875,\n              38.08701320402273\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1. 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,{"id":70145997,"text":"fs20153034 - 2015 - Landsat surface reflectance data","interactions":[],"lastModifiedDate":"2020-03-04T14:20:31","indexId":"fs20153034","displayToPublicDate":"2015-04-21T09:30:00","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":"2015-3034","displayTitle":"Landsat Surface Reflectance Data","title":"Landsat surface reflectance data","docAbstract":"<p><span>Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey since 1972. Users rely on these data for historical study of land surface change and require consistent radiometric data processed to the highest science standards. In support of the guidelines established through the Global Climate Observing System, the U.S. Geological Survey has embarked on production of higher-level Landsat data products to support land surface change studies. One such product is Landsat surface reflectance.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153034","usgsCitation":"U.S. Geological Survey, 2015, Landsat surface reflectance data (ver. 1.1, March 27, 2019): U.S. Geological Survey Fact Sheet 2015-3034, 1 p., https://doi.org/10.3133/fs20153034.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063045","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":299806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3034/coverthb2.jpg"},{"id":299805,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3034/pdf/fs20153034.pdf","size":"286 KB","linkFileType":{"id":1,"text":"pdf"}}],"edition":"Version 1: Originally posted April 20, 2015; Version 1.1: June 16, 2015; Version 1.1 updated: March 27, 2019","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/eros\" href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science (EROS) Center</a><br>U.S. Geological Survey<br>47914 252nd Street <br>Sioux Falls, South Dakota 57198</p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2015-04-20","revisedDate":"2019-03-27","noUsgsAuthors":false,"publicationDate":"2015-04-20","publicationStatus":"PW","scienceBaseUri":"553766a3e4b0b22a158084e1","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":545349,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70146870,"text":"70146870 - 2015 - Land-use impacts on water resources and protected areas: applications of state-and-transition simulation modeling of future scenarios","interactions":[],"lastModifiedDate":"2015-11-06T16:43:14","indexId":"70146870","displayToPublicDate":"2015-04-21T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Land-use impacts on water resources and protected areas: applications of state-and-transition simulation modeling of future scenarios","docAbstract":"<p><span>Human land use will increasingly contribute to habitat loss and water shortages in California, given future population projections and associated land-use demand. Understanding how land-use change may impact future water use and where existing protected areas may be threatened by land-use conversion will be important if effective, sustainable management approaches are to be implemented. We used a state-and-transition simulation modeling (STSM) framework to simulate spatially-explicit (1 km</span><sup>2</sup><span>) historical (1992-2010) and future (2011-2060) land-use change for 52 California counties within Mediterranean California ecoregions. Historical land use and land cover (LULC) change estimates were derived from the Farmland Mapping and Monitoring Program dataset and attributed with county-level agricultural water-use data from the California Department of Water Resources. Five future alternative land-use scenarios were developed and modeled using the historical land-use change estimates and land-use projections based on the Intergovernmental Panel on Climate Change's Special Report on Emission Scenarios A2 and B1 scenarios. Spatial land-use transition outputs across scenarios were combined to reveal scenario agreement and a land conversion threat index was developed to evaluate vulnerability of existing protected areas to proximal land conversion. By 2060, highest LULC conversion threats were projected to impact nearly 10,500 km</span><sup>2</sup><span>&nbsp;of land area within 10 km of a protected area boundary and over 18,000 km</span><sup>2</sup><span>&nbsp;of land area within essential habitat connectivity areas. Agricultural water use declined across all scenarios perpetuating historical drought-related land use from 2008-2010 and trends of annual cropland conversion into perennial woody crops. STSM is useful in analyzing land-use related impacts on water resource use as well as potential threats to existing protected land. Exploring a range of alternative, yet plausible, LULC change impacts will help to better inform resource management and mitigation strategies.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"AIMS Environmental Science","conferenceTitle":"2nd State-and-Transition Simulation Modeling Conference","conferenceDate":"September 16-18, 2014","conferenceLocation":"Fort Collins, Colorado","language":"English","publisher":"AIMS Press","doi":"10.3934/environsci.2015.2.282","usgsCitation":"Wilson, T., Sleeter, B.M., Sherba, J.T., and Cameron, D., 2015, Land-use impacts on water resources and protected areas: applications of state-and-transition simulation modeling of future scenarios, <i>in</i> AIMS Environmental Science, v. 2, no. 2, Fort Collins, Colorado, September 16-18, 2014, p. 282-301, https://doi.org/10.3934/environsci.2015.2.282.","productDescription":"20 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,{"id":70146029,"text":"ds934 - 2015 - Digital representation of oil and natural gas well pad scars in southwest Wyoming: 2012 update","interactions":[],"lastModifiedDate":"2015-04-20T15:51:36","indexId":"ds934","displayToPublicDate":"2015-04-20T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"934","title":"Digital representation of oil and natural gas well pad scars in southwest Wyoming: 2012 update","docAbstract":"<p>The recent proliferation of oil and natural gas energy development in the Greater Green River Basin of southwest Wyoming has accentuated the need to understand wildlife responses to this development. The location and extent of surface disturbance that is created by oil and natural gas well pad scars are key pieces of information used to assess the effects of energy infrastructure on wildlife populations and habitat. A digital database of oil and natural gas pad scars had previously been generated from 1-meter (m) National Agriculture Imagery Program imagery (NAIP) acquired in 2009 for a 7.7-million hectare (ha) (19,026,700 acres) region of southwest Wyoming. Scars included the pad area where wellheads, pumps, and storage facilities reside and the surrounding area that was scraped and denuded of vegetation during the establishment of the pad. Scars containing tanks, compressors, the storage of oil and gas related equipment, and produced-water ponds were also collected on occasion. This report updates the digital database for the five counties of southwest Wyoming (Carbon, Lincoln, Sublette, Sweetwater, Uinta) within the Wyoming Landscape Conservation Initiative (WLCI) study area and for a limited portion of Fremont, Natrona, and Albany Counties using 2012 1-m NAIP imagery and 2012 oil and natural gas well permit information. This report adds pad scars created since 2009, and updates attributes of all pad scars using the 2012 well permit information. These attributes include the origination year of the pad scar, the number of active and inactive wells on or near each pad scar in 2012, and the overall status of the pad scar (active or inactive). The new 2012 database contains 17,404 pad scars of which 15,532 are attributed as oil and natural gas well pads. Digital data are stored as shapefiles projected to the Universal Transverse Mercator (zones 12 and 13) coordinate system. These data are available from the U.S. Geological Survey (USGS) at http://dx.doi.org/10.3133/ds934.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds934","usgsCitation":"Garman, S.L., and McBeth, J.L., 2015, Digital representation of oil and natural gas well pad scars in southwest Wyoming: 2012 update: U.S. Geological Survey Data Series 934, 2 p., https://doi.org/10.3133/ds934.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059844","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":299802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds934.JPG"},{"id":299800,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0934/pdf/DS934_abstract.pdf","text":"Abstract","size":"31 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 934 Abstract"},{"id":299801,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0934/downloads/","text":"Downloads Directory","description":"DS 934 Downloads Directory","linkHelpText":"Contains: all related content to this data set."},{"id":299799,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0934/"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              40.99648401437787\n            ],\n            [\n              -111.0498046875,\n              43.43696596521823\n            ],\n            [\n              -107.314453125,\n              43.43696596521823\n            ],\n            [\n              -107.314453125,\n              40.99648401437787\n            ],\n            [\n              -111.0498046875,\n              40.99648401437787\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5536151ce4b0b22a15807a4d","contributors":{"authors":[{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":545347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBeth, Jamie L. 0000-0002-7688-7985 jlmcbeth@usgs.gov","orcid":"https://orcid.org/0000-0002-7688-7985","contributorId":1254,"corporation":false,"usgs":true,"family":"McBeth","given":"Jamie","email":"jlmcbeth@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":545348,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155979,"text":"70155979 - 2015 - Effects and empirical critical loads of Nitrogen for ecoregions of the United States","interactions":[],"lastModifiedDate":"2018-02-21T17:53:18","indexId":"70155979","displayToPublicDate":"2015-04-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Effects and empirical critical loads of Nitrogen for ecoregions of the United States","docAbstract":"Human activity in the last century has increased nitrogen (N) deposition to a level that has caused or is likely to cause alterations to the structure and function of many ecosystems across the United States. We synthesized current research relating atmospheric N deposition to effects on terrestrial and freshwater ecosystems in the United States, and estimated associated empirical critical loads of N for several receptors: freshwater diatoms, mycorrhizal fungi, lichens, bryophytes, herbaceous plants, shrubs, and trees. Biogeochemical responses included increased N mineralization and nitrification, increased gaseous N losses, and increased N leaching. Individual species, population, and community responses included increased tissue N, physiological and nutrient imbalances, increased growth, altered root-shoot ratios, increased susceptibility to secondary stresses, altered fire regime, shifts in competitive interactions and community composition, changes in species richness and other measures of biodiversity, and increases in invasive species. The range of critical loads of nutrient N reported for U.S. ecoregions, inland surface waters, and freshwater wetlands is 1–39 kg N ha−1 yr−1, spanning the range of N deposition observed over most of the country. The empirical critical loads of N tend to increase in the following sequence: diatoms, lichens and bryophytes, mycorrhizal fungi, herbaceous plants and shrubs, trees.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Critical loads and dynamic risk assessments","language":"English","publisher":"Springer","doi":"10.1007/978-94-017-9508-1_5","usgsCitation":"Pardo, L.H., Robin-Abbott, M.J., Fenn, M.E., Goodale, C.L., Geiser, L.H., Driscoll, C.T., Allen, E.B., Baron, J., Bobbink, R., Bowman, W., Clark, C.M., Emmett, B., Gilliam, F., Greaver, T.L., Hall, S.J., Lilleskov, E.A., Liu, L., Lynch, J.A., Nadelhoffer, K.J., Perakis, S.S., Stoddard, J., Weathers, K.C., and Dennis, R.L., 2015, Effects and empirical critical loads of Nitrogen for ecoregions of the United States, chap. <i>of</i> Critical loads and dynamic risk assessments, p. 129-169, https://doi.org/10.1007/978-94-017-9508-1_5.","productDescription":"41 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,{"id":70146682,"text":"70146682 - 2015 - Physical abrasion of mafic minerals and basalt grains: application to Martian aeolian deposits","interactions":[],"lastModifiedDate":"2015-04-27T16:14:26","indexId":"70146682","displayToPublicDate":"2015-04-18T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Physical abrasion of mafic minerals and basalt grains: application to Martian aeolian deposits","docAbstract":"<p>Sediment maturity, or the mineralogical and physical characterization of sediment deposits, has been used to locate sediment source, transport medium and distance, weathering processes, and paleoenvironments on Earth. Mature terrestrial sands are dominated by quartz, which is abundant in source lithologies on Earth and is physically and chemically stable under a wide range of conditions. Immature sands, such as those rich in feldspars or mafic minerals, are composed of grains that are easily physically weathered and highly susceptible to chemical weathering. On Mars, which is predominately mafic in composition, terrestrial standards of sediment maturity are not applicable. In addition, the martian climate today is cold, dry and sediments are likely to be heavily influenced by physical weathering rather than chemical weathering. Due to these large differences in weathering processes and composition, martian sediments require an alternate maturity index. Abrason tests have been conducted on a variety of mafic materials and results suggest that mature martian sediments may be composed of well sorted, well rounded, spherical basalt grains. In addition, any volcanic glass present is likely to persist in a mechanical weathering environment while chemically altered products are likely to be winnowed away. A modified sediment maturity index is proposed that can be used in future studies to constrain sediment source, paleoclimate, mechanisms for sediment production, and surface evolution. This maturity index may also provide details about erosional and sediment transport systems and preservation processes of layered deposits.</p>","language":"English","publisher":"American Astronomical Society","publisherLocation":"San Diego, CA","doi":"10.1016/j.icarus.2015.04.020","usgsCitation":"Cornwall, C., Bandfield, J.L., Titus, T.N., Schreiber, B.C., and Montgomery, D.R., 2015, Physical abrasion of mafic minerals and basalt grains: application to Martian aeolian deposits: Icarus, v. 256, p. 13-21, https://doi.org/10.1016/j.icarus.2015.04.020.","productDescription":"9 p.","startPage":"13","endPage":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059535","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":299789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"256","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55362343e4b0b22a15807aae","contributors":{"authors":[{"text":"Cornwall, Carin","contributorId":140355,"corporation":false,"usgs":false,"family":"Cornwall","given":"Carin","email":"","affiliations":[{"id":13468,"text":"1Department of Earth and Space Sciences, University of Washington, Seattle,  Washington, USA.","active":true,"usgs":false}],"preferred":false,"id":545329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bandfield, Joshua L.","contributorId":140356,"corporation":false,"usgs":false,"family":"Bandfield","given":"Joshua","email":"","middleInitial":"L.","affiliations":[{"id":13469,"text":"Space Science Institute, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":545330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":545328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schreiber, B. C.","contributorId":140357,"corporation":false,"usgs":false,"family":"Schreiber","given":"B.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":545332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montgomery, D. R.","contributorId":41582,"corporation":false,"usgs":false,"family":"Montgomery","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":545331,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147014,"text":"70147014 - 2015 - Turbines and terrestrial vertebrates: variation in tortoise survivorship between a wind energy facility and an adjacent undisturbed wildland area in the desert southwest (USA)","interactions":[],"lastModifiedDate":"2015-07-01T16:11:55","indexId":"70147014","displayToPublicDate":"2015-04-18T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Turbines and terrestrial vertebrates: variation in tortoise survivorship between a wind energy facility and an adjacent undisturbed wildland area in the desert southwest (USA)","docAbstract":"<p>With the recent increase in utility-scale wind energy development, researchers have become increasingly concerned how this activity will affect wildlife and their habitat. To understand the potential impacts of wind energy facilities (WEF) post-construction (i.e., operation and maintenance) on wildlife, we compared differences in activity centers and survivorship of Agassiz's desert tortoises (<i>Gopherus agassizii</i>) inside or near a WEF to neighboring tortoises living near a wilderness area (NWA) and farther from the WEF. We found that the size of tortoise activity centers varied, but not significantly so, between the WEF (6.25 &plusmn; 2.13 ha) and adjacent NWA (4.13 &plusmn; 1.23 ha). However, apparent survival did differ significantly between the habitat types: over the 18 year study period apparent annual survival estimates were 0.96 &plusmn; 0.01 for WEF tortoises and 0.92 &plusmn; 0.02 for tortoises in the NWA. High annual survival suggests that operation and maintenance of the WEF has not caused considerable declines in the adult population over the past two decades. Low traffic volume, enhanced resource availability and decreased predator populations may influence annual survivorship at this WEF. Further research on these proximate mechanisms and population recruitment would be useful for mitigating and managing post-development impacts of utility scale wind energy on long-lived terrestrial vertebrates.</p>","language":"English","publisher":"Springer USA","publisherLocation":"New York, NY","doi":"10.1007/s00267-015-0498-9","usgsCitation":"Agha, M., Lovich, J.E., Ennen, J., Augustine, B.J., Arundel, T.R., Murphy, M.O., Meyer-Wilkins, K., Bjurlin, C., Delaney, D.F., Briggs, J., Austin, M., Madrak, S.V., and Price, S.J., 2015, Turbines and terrestrial vertebrates: variation in tortoise survivorship between a wind energy facility and an adjacent undisturbed wildland area in the desert southwest (USA): Environmental Management, v. 56, no. 2, p. 332-341, https://doi.org/10.1007/s00267-015-0498-9.","productDescription":"10 p.","startPage":"332","endPage":"341","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059774","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":299889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-18","publicationStatus":"PW","scienceBaseUri":"553f5dbfe4b0a658d7938d03","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":545579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":545580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Augustine, Benjamin J.","contributorId":140198,"corporation":false,"usgs":false,"family":"Augustine","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":545581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arundel, Terence R. 0000-0003-0324-4249 tarundel@usgs.gov","orcid":"https://orcid.org/0000-0003-0324-4249","contributorId":139242,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":545582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Mason O.","contributorId":139509,"corporation":false,"usgs":false,"family":"Murphy","given":"Mason","email":"","middleInitial":"O.","affiliations":[{"id":12782,"text":"Department of Biology, University of Kentucky, Lexington, KY 40546, USA.  mason.murphy@uky.edu","active":true,"usgs":false}],"preferred":false,"id":545583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer-Wilkins, Kathie","contributorId":8742,"corporation":false,"usgs":false,"family":"Meyer-Wilkins","given":"Kathie","affiliations":[],"preferred":false,"id":545585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bjurlin, Curtis","contributorId":90183,"corporation":false,"usgs":false,"family":"Bjurlin","given":"Curtis","affiliations":[],"preferred":false,"id":545586,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delaney, David F.","contributorId":41797,"corporation":false,"usgs":false,"family":"Delaney","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":27261,"text":"U.S. Army Construction Engineering Research Laboratory, Champaig","active":true,"usgs":false}],"preferred":false,"id":545584,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Briggs, Jessica","contributorId":22691,"corporation":false,"usgs":true,"family":"Briggs","given":"Jessica","affiliations":[],"preferred":false,"id":545590,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Austin, Meaghan","contributorId":37244,"corporation":false,"usgs":true,"family":"Austin","given":"Meaghan","affiliations":[],"preferred":false,"id":545587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Madrak, Sheila V.","contributorId":7403,"corporation":false,"usgs":true,"family":"Madrak","given":"Sheila","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":545588,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Price, Steven J. 0000-0002-2388-0579","orcid":"https://orcid.org/0000-0002-2388-0579","contributorId":57738,"corporation":false,"usgs":false,"family":"Price","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":545589,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70140202,"text":"70140202 - 2015 - Minerals, lands, and geology for the common defence and general welfare,  Volume 4, 1939-1961: A history of geology in relation to the development of public-land, federal science, and mapping policies and the development of mineral resources in the United States from the 60th to the 82d year of the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2018-09-21T11:08:55","indexId":"70140202","displayToPublicDate":"2015-04-17T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Minerals, lands, and geology for the common defence and general welfare,  Volume 4, 1939-1961: A history of geology in relation to the development of public-land, federal science, and mapping policies and the development of mineral resources in the United States from the 60th to the 82d year of the U.S. Geological Survey","docAbstract":"<p>The fourth volume of the comprehensive history of the U.S. Geological Survey (USGS) is titled &ldquo;Minerals, Lands, and Geology for the Common Defence and General Welfare&mdash;Volume 4, 1939‒1961.&rdquo; The title is based on a passage in the preamble of the U.S. Constitution.</p>\n<p>The late Mary C. Rabbitt (1915‒2002), a geophysicist who served with the U.S. Coast and Geodetic Survey (1948‒1949) and the USGS (1949‒1978), wrote the first three volumes in this series of USGS Special Books. &ldquo;Volume 1, Before 1879&rdquo; (1979), &ldquo;Volume 2, 1879‒1904&rdquo; (1980), and &ldquo;Volume 3, 1904‒1939&rdquo; (1986), although long out of print and out of stock, are now available online; see links at right.</p>\n<p>The 704-page Volume 4, supplemented by more than 200 illustrations, was begun by Rabbitt and completed by coauthor Clifford M. Nelson, a geologist with the USGS since 1976. The book is described as &ldquo;A History of Geology in Relation to the Development of Public-Land, Federal Science, and Mapping Policies and the Development of Mineral Resources in the United States From the 60th to the 82d Year of the U.S. Geological Survey.&rdquo; Volume 4 focuses on the United States and the USGS in war and peace from the beginning of World War II in Europe to the end of the administration of President Dwight D. Eisenhower. Like the earlier books in the series, Volume 4 places the nature and significance of USGS operations in mapping and the earth sciences in the wider contexts of national and international history. The new volume, like its three predecessors, is intended for general readers and historians alike, so it follows a chronological rather than a thematic pattern, although themes are traced throughout the book.</p>\n<p>After preparing Volumes 1&ndash;3, Rabbitt wrote a brief report summarizing the agency's history in its first century, &ldquo;The United States Geological Survey: 1879‒1989,&rdquo; which was originally issued as USGS Circular 1050 in 1989. It was reissued in 2000 as part of USGS Circular 1179, which also contains Ren&eacute;e M. Jaussaud&rsquo;s inventory of documents accessioned through 1997 into Record Group 57 (USGS) at the National Archives and Records Administration&rsquo;s Archives II facility (NARA II) in College Park, Maryland.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70142267","usgsCitation":"Rabbitt, M.C., and Nelson, C.M., 2015, Minerals, lands, and geology for the common defence and general welfare,  Volume 4, 1939-1961: A history of geology in relation to the development of public-land, federal science, and mapping policies and the development of mineral resources in the United States from the 60th to the 82d year of the U.S. Geological Survey, v. 4, ix, 704 p., https://doi.org/10.3133/70142267.","productDescription":"ix, 704 p.","numberOfPages":"718","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1939-01-01","temporalEnd":"1961-12-31","ipdsId":"IP-060062","costCenters":[{"id":366,"text":"Library","active":true,"usgs":true},{"id":5069,"text":"Office of the AD Core Science Systems","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":472139,"rank":8,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3133/70142267","text":"Publisher Index Page"},{"id":299728,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/cir1179","text":"Circular 1179","description":"Circular 1179","linkHelpText":"Records and history of the USGS"},{"id":299725,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/800002","text":"Volume 2, 1879-1904","size":"141 MB","description":"Volume 2, 1879-1904"},{"id":299727,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/cir1050","text":"Circular 1050","description":"Circular 50","linkHelpText":"The USGS: 1879-1989"},{"id":299726,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/800003","text":"Volume 3, 1904–1939","size":"172 MB","description":"Volume 3, 1904–1939"},{"id":299724,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/800000","text":"Volume 1, Before 1879","size":"103 MB","description":"Volume 1, Before 1979"},{"id":299723,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/book/2015/rabbitt-vol4/pdf/vol4_usgshistory.pdf","text":"Report","size":"126 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70140202.jpg"},{"id":299722,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/book/2015/rabbitt-vol4/"}],"volume":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"553220a0e4b0b22a158063b5","contributors":{"authors":[{"text":"Rabbitt, Mary C.","contributorId":94242,"corporation":false,"usgs":true,"family":"Rabbitt","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":539869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Clifford M. cnelson@usgs.gov","contributorId":5980,"corporation":false,"usgs":true,"family":"Nelson","given":"Clifford","email":"cnelson@usgs.gov","middleInitial":"M.","affiliations":[{"id":5069,"text":"Office of the AD Core Science Systems","active":true,"usgs":true}],"preferred":true,"id":539868,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70146633,"text":"70146633 - 2015 - Application of the FluEgg model to predict transport of Asian carp eggs in the Saint Joseph River (Great Lakes tributary)","interactions":[],"lastModifiedDate":"2015-06-02T11:28:45","indexId":"70146633","displayToPublicDate":"2015-04-17T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Application of the FluEgg model to predict transport of Asian carp eggs in the Saint Joseph River (Great Lakes tributary)","docAbstract":"<p><span>The Fluvial Egg Drift Simulator (FluEgg) is a three-dimensional Lagrangian model that simulates the movement and development of Asian carp eggs until hatching based on the physical characteristics of the flow field and the physical and biological characteristics of the eggs. This tool provides information concerning egg development and spawning habitat suitability including: egg plume location, egg vertical and travel time distribution, and egg-hatching risk. A case study of the simulation of Asian carp eggs in the Lower Saint Joseph River, a tributary of Lake Michigan, is presented. The river hydrodynamic input for FluEgg was generated in two ways &mdash; using hydroacoustic data and using HEC-RAS model data. The HEC-RAS model hydrodynamic input data were used to simulate 52 scenarios covering a broad range of flows and water temperatures with the eggs at risk of hatching ranging from 0 to 93% depending on river conditions. FluEgg simulations depict the highest percentage of eggs at risk of hatching occurs at the lowest discharge and at peak water temperatures. Analysis of these scenarios illustrates how the interactive relation among river length, hydrodynamics, and water temperature influence egg transport and hatching risk. An improved version of FluEgg, which more realistically simulates dispersion and egg development, is presented. Also presented is a graphical user interface that facilitates the use of FluEgg and provides a set of post-processing analysis tools to support management decision-making regarding the prevention and control of Asian carp reproduction in rivers with or without Asian carp populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.02.003","usgsCitation":"Garcia, T., Murphy, E., Jackson, P., and Garcia, M., 2015, Application of the FluEgg model to predict transport of Asian carp eggs in the Saint Joseph River (Great Lakes tributary): Journal of Great Lakes Research, v. 41, no. 2, p. 374-386, https://doi.org/10.1016/j.jglr.2015.02.003.","productDescription":"13 p.","startPage":"374","endPage":"386","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052715","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":472141,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2015.02.003","text":"Publisher Index Page"},{"id":299755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Saint Joseph River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.48265838623047,\n              42.12190920831243\n            ],\n            [\n              -86.47064208984375,\n              42.11808935584947\n            ],\n            [\n              -86.45896911621094,\n              42.11274117555153\n            ],\n            [\n              -86.46411895751953,\n              42.09363684746941\n            ],\n            [\n              -86.46686553955078,\n              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Murphy Elizabeth A., Jackson P. Ryan, Garcia Marcelo H.","journalName":"Journal of Great Lakes Research","publicationDate":"6/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Garcia, Tatiana 0000-0002-1979-7246 tgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-1979-7246","contributorId":140327,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","email":"tgarcia@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Elizabeth A. emurphy@usgs.gov","contributorId":3250,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","email":"emurphy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":2960,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":545165,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70146555,"text":"70146555 - 2015 - Environmental DNA (eDNA) sampling improves occurrence and detection estimates of invasive Burmese pythons","interactions":[],"lastModifiedDate":"2015-04-17T10:41:43","indexId":"70146555","displayToPublicDate":"2015-04-17T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA (eDNA) sampling improves occurrence and detection estimates of invasive Burmese pythons","docAbstract":"<p><span>Environmental DNA (eDNA) methods are used to detect DNA that is shed into the aquatic environment by cryptic or low density species. Applied in eDNA studies, occupancy models can be used to estimate occurrence and detection probabilities and thereby account for imperfect detection. However, occupancy terminology has been applied inconsistently in eDNA studies, and many have calculated occurrence probabilities while not considering the effects of imperfect detection. Low detection of invasive giant constrictors using visual surveys and traps has hampered the estimation of occupancy and detection estimates needed for population management in southern Florida, USA. Giant constrictor snakes pose a threat to native species and the ecological restoration of the Florida Everglades. To assist with detection, we developed species-specific eDNA assays using quantitative PCR (qPCR) for the Burmese python (</span><i>Python molurus bivittatus</i><span>), Northern African python (</span><i>P</i><span>.&nbsp;</span><i>sebae</i><span>), boa constrictor (</span><i>Boa constrictor</i><span>), and the green (</span><i>Eunectes murinus</i><span>) and yellow anaconda (</span><i>E</i><span>.&nbsp;</span><i>notaeus</i><span>). Burmese pythons, Northern African pythons, and boa constrictors are established and reproducing, while the green and yellow anaconda have the potential to become established. We validated the python and boa constrictor assays using laboratory trials and tested all species in 21 field locations distributed in eight southern Florida regions. Burmese python eDNA was detected in 37 of 63 field sampling events; however, the other species were not detected. Although eDNA was heterogeneously distributed in the environment, occupancy models were able to provide the first estimates of detection probabilities, which were greater than 91%. Burmese python eDNA was detected along the leading northern edge of the known population boundary. The development of informative detection tools and eDNA occupancy models can improve conservation efforts in southern Florida and support more extensive studies of invasive constrictors. Generic sampling design and terminology are proposed to standardize and clarify interpretations of eDNA-based occupancy models.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0121655","usgsCitation":"Hunter, M., Oyler-McCance, S.J., Dorazio, R.M., Fike, J.A., Smith, B.J., Hunter, C.T., Reed, R., and Hart, K.M., 2015, Environmental DNA (eDNA) sampling improves occurrence and detection estimates of invasive Burmese pythons: PLoS ONE, v. 10, no. 4, e0121655; 17 p., https://doi.org/10.1371/journal.pone.0121655.","productDescription":"e0121655; 17 p.","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055221","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0121655","text":"Publisher Index Page"},{"id":299753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.84814453125,\n              25.07316070640961\n            ],\n            [\n              -81.84814453125,\n              26.509904531413927\n            ],\n            [\n              -80.19195556640625,\n              26.509904531413927\n            ],\n            [\n              -80.19195556640625,\n              25.07316070640961\n            ],\n            [\n              -81.84814453125,\n              25.07316070640961\n            ]\n          ]\n        ]\n      }\n    }\n  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bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":899,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":545134,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Charles T.","contributorId":140315,"corporation":false,"usgs":false,"family":"Hunter","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":545135,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":140316,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science 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,{"id":70143976,"text":"fs20153027 - 2015 - Summary of hydrologic conditions in Kansas, water year 2014","interactions":[],"lastModifiedDate":"2015-04-17T10:00:20","indexId":"fs20153027","displayToPublicDate":"2015-04-17T11:00:00","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":"2015-3027","title":"Summary of hydrologic conditions in Kansas, water year 2014","docAbstract":"<p><span>The U.S. Geological Survey Kansas Water Science Center, in cooperation with Federal, State, and local agencies, maintains a long-term network of hydrologic monitoring gages in the State of Kansas. These include 206 real-time streamgages, 12 real-time reservoir-level monitoring stations, and 32 groundwater monitoring wells. These data and associated analyses, accumulated over time, provide a unique overview of hydrologic conditions and help improve our understanding of Kansas&rsquo;s water resources. Yearly hydrologic conditions are determined by comparing statistical analyses of current and historical water year data for the period of record. These data are used in protecting life and property, and managing water resources for agricultural, industrial, public supply, ecological, and recreational purposes.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153027","usgsCitation":"Robison, A.L., 2015, Summary of hydrologic conditions in Kansas, water year 2014: U.S. Geological Survey Fact Sheet 2015-3027, 4 p., https://doi.org/10.3133/fs20153027.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2013-10-01","temporalEnd":"2014-09-30","ipdsId":"IP-062877","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":299750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153027.jpg"},{"id":299749,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3027/pdf/fs2015-3027.pdf","size":"3.03 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":299748,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3027/"}],"country":"United States","state":"Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.041015625,\n              36.99377838872517\n            ],\n            [\n              -102.073974609375,\n              40.01920130768676\n            ],\n            [\n              -95.3173828125,\n              40.01920130768676\n            ],\n            [\n              -95.20751953125,\n              39.926588421909436\n            ],\n            [\n              -95.06469726562499,\n              39.85915479295669\n            ],\n            [\n              -94.95483398437499,\n              39.918162846609455\n            ],\n            [\n              -94.888916015625,\n              39.78321267821705\n            ],\n            [\n              -94.95483398437499,\n              39.63953756436671\n            ],\n            [\n              -95.0537109375,\n              39.50404070558415\n            ],\n            [\n              -94.89990234375,\n              39.42770738465604\n            ],\n            [\n              -94.82299804687499,\n              39.342794408952386\n            ],\n            [\n              -94.71313476562499,\n              39.223742741391305\n            ],\n            [\n              -94.603271484375,\n              39.08743603215884\n            ],\n            [\n              -94.6142578125,\n              36.98500309285596\n            ],\n            [\n              -102.041015625,\n              36.99377838872517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"553220a0e4b0b22a158063b7","contributors":{"authors":[{"text":"Robison, Andrew L. arobison@usgs.gov","contributorId":139840,"corporation":false,"usgs":true,"family":"Robison","given":"Andrew","email":"arobison@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":545154,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70146890,"text":"70146890 - 2015 - 11.12 – Tools and techniques: gravitational method","interactions":[],"lastModifiedDate":"2015-12-08T16:43:39","indexId":"70146890","displayToPublicDate":"2015-04-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"11.12 – Tools and techniques: gravitational method","docAbstract":"<p>The gravitational method is used to investigate density variations within the subsurface at depths of several meters to tens of meters, as in depth-to-bedrock investigations, or at depths of several kilometers, as in sedimentary basin thickness investigations. This chapter covers fundamental relations, densities of Earth materials, instruments, field procedures, data reduction, filtering, forward modeling, inversion, and field examples. The focus is on near-surface investigations as distinct from the solid Earth studies found elsewhere in this treatise. The gravitational method is often used in conjunction with other geophysical methods, such as the magnetic method or the seismic method, which target similar physical properties at similar depths.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on Geophysics","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-53802-4.00197-4","usgsCitation":"Phillips, J., 2015, 11.12 – Tools and techniques: gravitational method, chap. <i>of</i> Treatise on Geophysics, v. 11, p. 393-418, https://doi.org/10.1016/B978-0-444-53802-4.00197-4.","productDescription":"26 p.","startPage":"393","endPage":"418","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044810","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":312048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","edition":"2nd","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56680d3fe4b06a3ea36c8e1e","contributors":{"authors":[{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":545488,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70137525,"text":"ofr20141236 - 2015 - Accuracy testing of electric groundwater-level measurement tapes","interactions":[],"lastModifiedDate":"2015-04-16T16:14:45","indexId":"ofr20141236","displayToPublicDate":"2015-04-16T16:30:00","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":"2014-1236","title":"Accuracy testing of electric groundwater-level measurement tapes","docAbstract":"<p>Electric tapes are used to measure groundwater levels and to verify the accuracy of pressure transducers installed in wells. Electric tapes are generally assumed to be accurate to &plusmn;0.01 foot (ft), but little information is available from the manufacturers and no accuracy studies have been conducted to confirm this value. This study measured the accuracy of six popular models of electric groundwater tapes.</p>\n<p>The tapes tested include models from Durham Geo, Geotech, Heron, In-Situ, Solinst, and Waterline that are commonly used by the U.S.Geological Survey (USGS). The accuracy tests compared the length of each electric tape to a calibrated-steel reference tape and measured each probe&rsquo;s activation accuracy and displacement volume. The tape-length accuracy combined with the probe-activation accuracy gave the overall measurement accuracy of the tape.</p>\n<p>The accuracy tests demonstrated that none of the electric-tape models tested consistently met the suggested USGS accuracy of &plusmn;0.01 ft. The test data show that the tape models in the study should give a water-level measurement that is accurate to roughly &plusmn;0.05 ft per 100 ft without additional calibration. To meet USGS accuracy guidelines, the electric-tape models tested will need to be individually calibrated. Specific conductance also plays a part in tape accuracy. The probes will not work in water with specific conductance values near zero, and the accuracy of one probe was unreliable in very high conductivity water (10,000 microsiemens per centimeter).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141236","usgsCitation":"Jelinski, J., Clayton, C.S., and Fulford, J.M., 2015, Accuracy testing of electric groundwater-level measurement tapes: U.S. Geological Survey Open-File Report 2014-1236, vi, 27 p., https://doi.org/10.3133/ofr20141236.","productDescription":"vi, 27 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052287","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":299747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141236.jpg"},{"id":299745,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1236/"},{"id":299746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1236/pdf/ofr2014-1236.pdf","text":"Report","size":"2.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5530cf1ae4b0b22a15806131","contributors":{"authors":[{"text":"Jelinski, Jim","contributorId":138570,"corporation":false,"usgs":false,"family":"Jelinski","given":"Jim","email":"","affiliations":[{"id":12443,"text":"U.S. Geological Survey (retired)","active":true,"usgs":false}],"preferred":false,"id":537870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clayton, Christopher S. cclayton@usgs.gov","contributorId":5506,"corporation":false,"usgs":true,"family":"Clayton","given":"Christopher","email":"cclayton@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":537869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulford, Janice M. jfulford@usgs.gov","contributorId":991,"corporation":false,"usgs":true,"family":"Fulford","given":"Janice","email":"jfulford@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":537871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70141192,"text":"sir20155018 - 2015 - Dissolved-solids loads discharged from irrigated areas near Manila, Utah, May 2007-October 2012, and relation of loads to selected variables","interactions":[],"lastModifiedDate":"2017-01-03T16:46:59","indexId":"sir20155018","displayToPublicDate":"2015-04-16T15:30:00","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":"2015-5018","title":"Dissolved-solids loads discharged from irrigated areas near Manila, Utah, May 2007-October 2012, and relation of loads to selected variables","docAbstract":"<p>The Manila/Washam Salinity Project (MWSP) is a cooperative effort by the Natural Resources Conservation Service (NRCS) and local farmers and ranchers to reduce the transport of dissolved solids to Flaming Gorge Reservoir from irrigated agricultural lands near Manila, Utah. To estimate dissolved-solids loads from the MWSP area, discharge and water quality from Birch Spring Draw and other selected outflows and inflows were monitored from May 2007 to October 2012. An average annual May&ndash;April streamflow of 5,960 acre-feet discharged from Birch Spring Draw at site BSD-2 to Flaming Gorge Reservoir during 2007&ndash;12, containing an average dissolved-solids load of 14,660 tons. An average May&ndash;April net dissolved-solids load of 24,300 tons per year discharged from the MWSP area, estimated from the relation between streamflow and dissolved-solids concentration at site BSD-2 and other measured inflows and outflows.</p>\n<p>The amount of precipitation and water available for irrigation are important factors affecting the dissolved-solids load in outflow from the MWSP area. Net dissolved-solids load discharged from the MWSP area increased with increasing canal streamflow and precipitation measured at Manila during the irrigation season, from May to October, each year. The net tons of dissolved solids discharged from the MWSP area per acre-foot of canal water increased with increasing irrigation season precipitation during May 2007&ndash;October 2012.</p>\n<p>Irrigation improvements began to be implemented in 2007 to reduce dissolved-solids loads discharged from the MWSP area. The theoretical annual net dissolved-solids load where the cumulative NRCS calculated dissolved-solids load reduction is added to the net MWSP dissolved-solids load is what would be expected if there was no irrigation improvement in the area associated with the MWSP. The theoretical data points lie very near the baseline representing the pre-MWSP dissolved-solids load to canal streamflow relation. The proximity of the theoretical data points to the baseline shows that the NRCS calculations of reduction in dissolved-solids load are generally supported by the data collected during this study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155018","collaboration":"Prepared in cooperation with the Colorado River Basin Salinity Control Forum","usgsCitation":"Thiros, S.A., and Gerner, S.J., 2015, Dissolved-solids loads discharged from irrigated areas near Manila, Utah, May 2007-October 2012, and relation of loads to selected variables: U.S. Geological Survey Scientific Investigations Report 2015-5018, vi, 34 p., https://doi.org/10.3133/sir20155018.","productDescription":"vi, 34 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-05-01","temporalEnd":"2012-10-31","ipdsId":"IP-056819","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":299743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155018.jpg"},{"id":299742,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5018/pdf/sir2015-5018.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299741,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5018/"}],"country":"United States","state":"Utah, Wyoming","otherGeospatial":"Flaming Gorge Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.59085464477539,\n              40.96304869940295\n            ],\n            [\n              -109.59591865539551,\n              40.96551156815455\n           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sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerner, Steven J. 0000-0002-5701-1304 sjgerner@usgs.gov","orcid":"https://orcid.org/0000-0002-5701-1304","contributorId":972,"corporation":false,"usgs":true,"family":"Gerner","given":"Steven","email":"sjgerner@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540557,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70146517,"text":"70146517 - 2015 - Global phylogeography of the avian malaria pathogen <i>Plasmodium relictum</i> based on MSP1 allelic diversity","interactions":[],"lastModifiedDate":"2018-01-04T12:52:52","indexId":"70146517","displayToPublicDate":"2015-04-16T15:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Global phylogeography of the avian malaria pathogen <i>Plasmodium relictum</i> based on MSP1 allelic diversity","docAbstract":"<p><span>Knowing the genetic variation that occurs in pathogen populations and how it is distributed across geographical areas is essential to understand parasite epidemiology, local patterns of virulence, and evolution of host-resistance. In addition, it is important to identify populations of pathogens that are evolutionarily independent and thus &lsquo;free&rsquo; to adapt to hosts and environments. Here, we investigated genetic variation in the globally distributed, highly invasive avian malaria parasite&nbsp;</span><i>Plasmodium relictum</i><span>, which has several distinctive mitochondrial haplotyps (cyt b lineages, SGS1, GRW11 and GRW4). The phylogeography of&nbsp;</span><i>P. relictum</i><span>&nbsp;was accessed using the highly variable nuclear gene merozoite surface protein 1 (MSP1), a gene linked to the invasion biology of the parasite. We show that the lineage GRW4 is evolutionarily independent of GRW11 and SGS1 whereas GRW11 and SGS1 share MSP1 alleles and thus suggesting the presence of two distinct species (GRW4 versus SGS1 and GRW11). Further, there were significant differences in the global distribution of MSP1 alleles with differences between GRW4 alleles in the New and the Old World. For SGS1, a lineage formerly believed to have both tropical and temperate transmission, there were clear differences in MSP1 alleles transmitted in tropical Africa compared to the temperate regions of Europe and Asia. Further, we highlight the occurrence of multiple MSP1 alleles in GRW4 isolates from the Hawaiian Islands, where the parasite has contributed to declines and extinctions of endemic forest birds since it was introduced. This study stresses the importance of multiple independent loci for understanding patterns of transmission and evolutionary independence across avian malaria parasites.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.01158","usgsCitation":"Hellgren, O., Atkinson, C.T., Bensch, S., Albayrak, T., Dimitrov, D., Ewen, J.G., Kim, K.S., Lima, M.R., Martin, L., Palinauskas, V., Ricklefs, R., Sehgal, R.N., Gediminas, V., Tsuda, Y., and Marzal, A., 2015, Global phylogeography of the avian malaria pathogen <i>Plasmodium relictum</i> based on MSP1 allelic diversity: Ecography, v. 38, no. 8, p. 842-850, https://doi.org/10.1111/ecog.01158.","productDescription":"9 p.","startPage":"842","endPage":"850","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059868","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":299740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-22","publicationStatus":"PW","scienceBaseUri":"5530cf1fe4b0b22a1580613d","contributors":{"authors":[{"text":"Hellgren, Olof","contributorId":140266,"corporation":false,"usgs":false,"family":"Hellgren","given":"Olof","email":"","affiliations":[{"id":13428,"text":"Lund University","active":true,"usgs":false}],"preferred":false,"id":544996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":544995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bensch, Staffan","contributorId":140267,"corporation":false,"usgs":false,"family":"Bensch","given":"Staffan","email":"","affiliations":[{"id":13428,"text":"Lund University","active":true,"usgs":false}],"preferred":false,"id":544997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albayrak, Tamer","contributorId":140268,"corporation":false,"usgs":false,"family":"Albayrak","given":"Tamer","email":"","affiliations":[{"id":13429,"text":"Mehmet Akif Ersoy University","active":true,"usgs":false}],"preferred":false,"id":544998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dimitrov, Dimitar","contributorId":140269,"corporation":false,"usgs":false,"family":"Dimitrov","given":"Dimitar","email":"","affiliations":[{"id":13430,"text":"Bulgarian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":544999,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ewen, John G.","contributorId":140270,"corporation":false,"usgs":false,"family":"Ewen","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":13431,"text":"Zoological Society of London","active":true,"usgs":false}],"preferred":false,"id":545000,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kim, Kyeong Soon","contributorId":140271,"corporation":false,"usgs":false,"family":"Kim","given":"Kyeong","email":"","middleInitial":"Soon","affiliations":[{"id":13432,"text":"Tottori University","active":true,"usgs":false}],"preferred":false,"id":545001,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lima, Marcos R.","contributorId":140272,"corporation":false,"usgs":false,"family":"Lima","given":"Marcos","email":"","middleInitial":"R.","affiliations":[{"id":13433,"text":"Universidade Estadual de Londrina","active":true,"usgs":false}],"preferred":false,"id":545002,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martin, Lynn","contributorId":140273,"corporation":false,"usgs":false,"family":"Martin","given":"Lynn","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":545003,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Palinauskas, Vaidas","contributorId":140274,"corporation":false,"usgs":false,"family":"Palinauskas","given":"Vaidas","email":"","affiliations":[{"id":13434,"text":"Institute of Ecology, Nature Research Centre, Vilnius, Lithuania","active":true,"usgs":false}],"preferred":false,"id":545004,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ricklefs, Robert","contributorId":140275,"corporation":false,"usgs":false,"family":"Ricklefs","given":"Robert","email":"","affiliations":[{"id":13435,"text":"University of Missouri-St. Louis","active":true,"usgs":false}],"preferred":false,"id":545005,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sehgal, Ravinder N. M.","contributorId":140276,"corporation":false,"usgs":false,"family":"Sehgal","given":"Ravinder","email":"","middleInitial":"N. M.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":545006,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gediminas, Valkiunas","contributorId":140277,"corporation":false,"usgs":false,"family":"Gediminas","given":"Valkiunas","affiliations":[{"id":13434,"text":"Institute of Ecology, Nature Research Centre, Vilnius, Lithuania","active":true,"usgs":false}],"preferred":false,"id":545007,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tsuda, Yoshio","contributorId":140278,"corporation":false,"usgs":false,"family":"Tsuda","given":"Yoshio","email":"","affiliations":[{"id":13436,"text":"National Institute of Infectious Diseases, Toyama, Japan","active":true,"usgs":false}],"preferred":false,"id":545008,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Marzal, Alfonso","contributorId":140279,"corporation":false,"usgs":false,"family":"Marzal","given":"Alfonso","email":"","affiliations":[{"id":13437,"text":"University of Extremadura, Spain","active":true,"usgs":false}],"preferred":false,"id":545009,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70158663,"text":"70158663 - 2015 - The river as a chemostat: fresh perspectives on dissolved organic matter flowing down the river continuum","interactions":[],"lastModifiedDate":"2018-02-21T17:40:21","indexId":"70158663","displayToPublicDate":"2015-04-16T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The river as a chemostat: fresh perspectives on dissolved organic matter flowing down the river continuum","docAbstract":"<p>A better understanding is needed of how hydrological and biogeochemical processes control dissolved organic carbon (DOC) concentrations and dissolved organic matter (DOM) composition from headwaters downstream to large rivers. We examined a large DOM dataset from the National Water Information System of the US Geological Survey, which represents approximately 100&thinsp;000 measurements of DOC concentration and DOM composition at many sites along rivers across the United States. Application of quantile regression revealed a tendency towards downstream spatial and temporal homogenization of DOC concentrations and a shift from dominance of aromatic DOM in headwaters to more aliphatic DOM downstream. The DOC concentration&ndash;discharge (C-Q) relationships at each site revealed a downstream tendency towards a slope of zero. We propose that despite complexities in river networks that have driven many revisions to the River Continuum Concept, rivers show a tendency towards chemostasis (C-Q slope of zero) because of a downstream shift from a dominance of hydrologic drivers that connect terrestrial DOM sources to streams in the headwaters towards a dominance of instream and near-stream biogeochemical processes that result in preferential losses of aromatic DOM and preferential gains of aliphatic DOM.</p>","language":"English","publisher":"National Research Council Canada","publisherLocation":"Ottawa, Canada","doi":"10.1139/cjfas-2014-0400","collaboration":"Federal Program","usgsCitation":"Creed, I., McKnight, D.M., Pellerin, B., Green, M., Bergamaschi, B.A., Aiken, G.R., Burns, D.A., Findlay, S.E., Shanley, J.B., Striegl, R.G., Aulenbach, B.T., Clow, D.W., Laudon, H., McGlynn, B.L., McGuire, K.J., Smith, R.A., and Stackpoole, S.M., 2015, The river as a chemostat: fresh perspectives on dissolved organic matter 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