Streams and rivers host a significant portion of Earth's biodiversity and provide important ecosystem services for human populations. Accurate information regarding the status and trends of stream resources is vital for their effective conservation and management. Most statistical techniques applied to data measured on stream networks were developed for terrestrial applications and are not optimized for streams. A new class of spatial statistical model, based on valid covariance structures for stream networks, can be used with many common types of stream data (e.g., water quality attributes, habitat conditions, biological surveys) through application of appropriate distributions (e.g., Gaussian, binomial, Poisson). The spatial statistical network models account for spatial autocorrelation (i.e., nonindependence) among measurements, which allows their application to databases with clustered measurement locations. Large amounts of stream data exist in many areas where spatial statistical analyses could be used to develop novel insights, improve predictions at unsampled sites, and aid in the design of efficient monitoring strategies at relatively low cost. We review the topic of spatial autocorrelation and its effects on statistical inference, demonstrate the use of spatial statistics with stream datasets relevant to common research and management questions, and discuss additional applications and development potential for spatial statistics on stream networks. Free software for implementing the spatial statistical network models has been developed that enables custom applications with many stream databases.
","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1023","usgsCitation":"Isaak, D.J., Peterson, E.E., Ver Hoef, J.M., Wenger, S.J., Falke, J.A., Torgersen, C.E., Sowder, C., Steel, E.A., Fortin, M., Jordan, C.E., Ruesch, A.S., Som, N., and Monestiez, P., 2014, Applications of spatial statistical network models to stream data: WIREs Water, v. 1, no. 3, p. 277-294, https://doi.org/10.1002/wat2.1023.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-052526","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":346716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"59e71694e4b05fe04cd331d7","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Erin E.","contributorId":16264,"corporation":false,"usgs":true,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ver Hoef, Jay M.","contributorId":42504,"corporation":false,"usgs":true,"family":"Ver Hoef","given":"Jay","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":3578,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":712903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sowder, Colin","contributorId":197201,"corporation":false,"usgs":false,"family":"Sowder","given":"Colin","email":"","affiliations":[],"preferred":false,"id":712904,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Steel, E. Ashley","contributorId":192227,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":712905,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":712906,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712907,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712908,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Som, Nicholas","contributorId":100264,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","affiliations":[],"preferred":false,"id":712909,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Monestiez, Pascal","contributorId":11910,"corporation":false,"usgs":true,"family":"Monestiez","given":"Pascal","email":"","affiliations":[],"preferred":false,"id":712910,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70135985,"text":"70135985 - 2014 - Bouse Formation in the Bristol basin near Amboy, California, USA","interactions":[],"lastModifiedDate":"2014-12-19T14:41:01","indexId":"70135985","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Bouse Formation in the Bristol basin near Amboy, California, USA","docAbstract":"Limestone beds underlain and overlain by alluvial fan conglomerate near Amboy, California, are very similar in many respects to parts of the Bouse Formation, suggesting that an arm of the Pliocene Bouse water body extended across a wide part of the southern Mojave Desert. The deposits are north of the town of Amboy at and below an elevation of 290 m, along the northern piedmont of the Bristol “dry” Lake basin. The Amboy outcrops contain the Lawlor Tuff (4.83 Ma), which is also found in an outcrop of the Bouse Formation in the Blythe basin near Buzzards Peak in the Chocolate Mountains, 180 km southeast of Amboy. Bouse exposures near Amboy are ∼3.4 m thick, white, distinctly bedded, with limestone and calcareous sandstone as well as stromatolite mounds; we interpret these as nearshore deposits. The Bouse at Amboy contains ostracodes, diatoms, and mollusks that indicate saline lake or estuarine environments with an admixture of fresh-water forms. Along with wading bird tracks and a spine from a marine fish, these fossils suggest that the deposits formed in saline waters near a fresh-water source such as a perennial stream. Beds of the outcrop dip southward and are 113 m above the surface of Bristol Playa, where similar age sediments are buried 270+ m deep, indicating significant faulting and vertical tectonics in this part of the Eastern California Shear Zone during the past 5 m.y. Confirmation of the Bouse Formation at Amboy strengthens previous assignments to the Bouse Formation for mudstones in driller logs at Danby “dry” Lake, California, and suggests that areally extensive arms of the Bouse water body were west of the Blythe basin. The Bristol basin arm of the lower Bouse basin probably was restricted from the main water body by narrow passages, but Bouse sediment there is similar to that in the Blythe basin, suggesting generally similar water chemistry and environmental conditions. Examining the degree to which Bouse deposits in the western arms differed from Bouse deposits in the Blythe basin offers an approach to test whether the southernmost Bouse water body was deposited in an estuarine or lacustrine setting.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00934.1","usgsCitation":"Miller, D., Reynolds, R.E., Bright, J.E., and Starratt, S.W., 2014, Bouse Formation in the Bristol basin near Amboy, California, USA: Geosphere, v. 10, no. 3, p. 462-475, https://doi.org/10.1130/GES00934.1.","productDescription":"14 p.","startPage":"462","endPage":"475","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044898","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00934.1","text":"Publisher Index Page"},{"id":296827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Amboy","otherGeospatial":"Bristol basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.79864501953124,\n 34.38537936672342\n ],\n [\n -115.79864501953124,\n 34.630382979232984\n ],\n [\n -115.44227600097658,\n 34.630382979232984\n ],\n [\n -115.44227600097658,\n 34.38537936672342\n ],\n [\n -115.79864501953124,\n 34.38537936672342\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-05-13","publicationStatus":"PW","scienceBaseUri":"54dd2b49e4b08de9379b32f5","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":537021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Robert E.","contributorId":131037,"corporation":false,"usgs":false,"family":"Reynolds","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":537024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordan E.","contributorId":131036,"corporation":false,"usgs":false,"family":"Bright","given":"Jordan","email":"","middleInitial":"E.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":537023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":537022,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004250,"text":"70004250 - 2014 - Desert wetlands in the geologic record","interactions":[],"lastModifiedDate":"2015-01-29T09:20:19","indexId":"70004250","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Desert wetlands in the geologic record","docAbstract":"Desert wetlands support flora and fauna in a variety of hydrologic settings, including seeps, springs, marshes, wet meadows, ponds, and spring pools. Over time, eolian, alluvial, and fluvial sediments become trapped in these settings by a combination of wet ground conditions and dense plant cover. The result is a unique combination of clastic sediments, chemical precipitates, and organic matter that is preserved in the geologic record as ground-water discharge (GWD) deposits. GWD deposits contain information on the timing and magnitude of past changes in water-table levels and, therefore, are a potential source of paleohydrologic and paleoclimatic information. In addition, they can be important archeological and paleontological archives because desert wetlands provide reliable sources of fresh water, and thus act as focal points for human and faunal activities, in some of the world's harshest and driest lands. Here, we review some of the physical, sedimentological, and geochemical characteristics common to GWD deposits, and provide a contextual framework that researchers can use to identify and interpret geologic deposits associated with desert wetlands. We discuss several lines of evidence used to differentiate GWD deposits from lake deposits (they are commonly confused), and examine how various types of microbiota and depositional facies aid in reconstructing past environmental and hydrologic conditions. We also review how late Quaternary GWD deposits are dated, as well as methods used to investigate desert wetlands deeper in geologic time. We end by evaluating the strengths and limitations of hydrologic and climatic records derived from GWD deposits, and suggest several avenues of potential future research to further develop and utilize these unique and complex systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2014.02.001","usgsCitation":"Pigati, J.S., Rech, J.A., Quade, J., and Bright, J., 2014, Desert wetlands in the geologic record: Earth-Science Reviews, v. 132, p. 67-81, https://doi.org/10.1016/j.earscirev.2014.02.001.","productDescription":"15 p.","startPage":"67","endPage":"81","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022854","costCenters":[],"links":[{"id":297602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b71e4b08de9379b3392","contributors":{"editors":[{"text":"Edwards, L.","contributorId":91976,"corporation":false,"usgs":true,"family":"Edwards","given":"L.","affiliations":[],"preferred":false,"id":519955,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Springer, A.","contributorId":121535,"corporation":false,"usgs":true,"family":"Springer","given":"A.","email":"","affiliations":[],"preferred":false,"id":519956,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Pigati, Jeff S.","contributorId":60114,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":512910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rech, Jason A.","contributorId":30730,"corporation":false,"usgs":true,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":512912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":512909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":512911,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160092,"text":"70160092 - 2014 - Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure","interactions":[],"lastModifiedDate":"2015-12-11T15:34:47","indexId":"70160092","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3835,"text":"Ecology, Evolution, and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure","docAbstract":"Aquatic food webs that incorporate multiple energy channels (e.g. nearshore benthic or pelagic) with varying productivity and turnover rates convey stability to biological communities by providing multiple independent energy sources. Within the Lake Michigan food web, invasive dreissenid mussels have caused rapid changes to food web structure and potentially altered the channels through which consumers acquire energy. We used stable C and N isotopes to determine how Lake Michigan food web structure has changed in the past decade, coincident with the expansion of dreissenid mussels, decreased pelagic phytoplankton production and increased nearshore benthic algal production. Fish and invertebrate samples collected from sites around Lake Michigan were analyzed to determine taxa-specific 13C:12C (delta 13C) and 15N:14N (delta 15N) ratios. Sampling took place during two distinct periods, 2002-2003 and 2010-2012, that spanned the period of dreissenid expansion, and included nearshore, pelagic and profundal fish and invertebrate taxa. Magnitude and direction of the 13C shift indicated significantly greater reliance upon nearshore benthic energy sources among nearly all fish taxa as well as profundal invertebrates. Although the mechanisms underlying this 13C shift likely varied among species, possible causes include the transport of benthic algal production to offshore waters and an increased reliance on nearshore prey items. Delta 15N shifts were more variable and of smaller magnitude across taxa although declines in delta 15N among some pelagic fishes may indicate a shift to alternative prey resources. Lake Michigan fishes and invertebrates appear to have responded to dreissenid induced changes in nutrient and energy pathways by switching from pelagic to alternative nearshore energy subsidies. Although large shifts in energy allocation (i.e. pelagic to nearshore benthic) resulting from invasive species appear to have affected total production at upper trophic levels, changes in trophic structure and utilization of novel energy pathways may help to stabilize food webs following species invasions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0329.1","collaboration":"University of Wisconsin-Milwaukee; Illinois Natural History Survey, Purdue University","usgsCitation":"Turschak, B.A., Bunnell, D., Czesny, S.J., Hook, T.O., Janssen, J., Warner, D.M., and Bootsma, H.A., 2014, Nearshore energy subsidies support Lake Michigan fishes and invertebrates following major changes in food web structure: Ecology, Evolution, and Systematics, v. 95, no. 5, p. 1243-1252, https://doi.org/10.1890/13-0329.1.","productDescription":"10 p.","startPage":"1243","endPage":"1252","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049392","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-0329.1","text":"Publisher Index Page"},{"id":312197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312145,"type":{"id":15,"text":"Index Page"},"url":"https://www.esajournals.org/doi/abs/10.1890/13-0329.1"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.76290893554688,\n 42.794392945304025\n ],\n [\n -87.57339477539062,\n 42.80043894556553\n ],\n [\n -87.57202148437499,\n 42.6440611466169\n ],\n [\n -87.80548095703125,\n 42.630927675654135\n ],\n [\n -87.7642822265625,\n 42.73793512467152\n ],\n [\n -87.75466918945312,\n 42.78532283730215\n ],\n [\n -87.76290893554688,\n 42.794392945304025\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.78213500976562,\n 42.47716144453506\n ],\n [\n -87.60498046875,\n 42.48323834594139\n ],\n [\n -87.59811401367188,\n 42.371734722510496\n ],\n [\n -87.79312133789062,\n 42.357529125471395\n ],\n [\n -87.80136108398438,\n 42.397093870535514\n ],\n [\n -87.7972412109375,\n 42.47310984904908\n ],\n [\n -87.78213500976562,\n 42.47716144453506\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.81028747558594,\n 42.235635122140614\n ],\n [\n -87.70591735839844,\n 42.26460631064456\n ],\n [\n -87.66265869140625,\n 42.268671377508\n ],\n [\n -87.62626647949217,\n 42.25850821886463\n ],\n [\n -87.58644104003906,\n 42.167475010395336\n ],\n [\n -87.60566711425781,\n 42.15271426381815\n ],\n [\n -87.74093627929688,\n 42.12725661490423\n ],\n [\n -87.81028747558594,\n 42.235635122140614\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.53974914550781,\n 41.75543440328294\n ],\n [\n -87.52601623535156,\n 41.74211494855704\n ],\n [\n -87.52464294433594,\n 41.7200805552871\n ],\n [\n -87.51983642578125,\n 41.70777900286713\n ],\n [\n -87.49099731445312,\n 41.68983501879767\n ],\n [\n -87.47795104980469,\n 41.725205507257044\n ],\n [\n -87.46627807617188,\n 41.77336007442078\n ],\n [\n -87.46833801269531,\n 41.79025683432948\n ],\n [\n -87.50816345214844,\n 41.78718502733698\n ],\n [\n -87.53768920898438,\n 41.78308905571848\n ],\n [\n -87.53974914550781,\n 41.75543440328294\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.37176513671874,\n 43.265206318396025\n ],\n [\n -86.6436767578125,\n 43.17914423586491\n ],\n [\n -86.52557373046875,\n 43.052833917627936\n ],\n [\n -86.45416259765625,\n 43.01268088642034\n ],\n [\n -86.25640869140625,\n 43.062868070571454\n ],\n [\n -86.27014160156249,\n 43.11902898139767\n ],\n [\n -86.3580322265625,\n 43.249203966977845\n ],\n [\n -86.37176513671874,\n 43.265206318396025\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.21177673339844,\n 42.770707089907546\n ],\n [\n -86.34635925292969,\n 42.769698980164854\n ],\n [\n -86.37794494628906,\n 42.740960955168475\n ],\n [\n -86.37451171875,\n 42.706659563510385\n ],\n [\n -86.36627197265625,\n 42.67536823702857\n ],\n [\n -86.34292602539062,\n 42.66224137632745\n ],\n [\n -86.22344970703124,\n 42.65466692646942\n ],\n [\n -86.21177673339844,\n 42.6814258531182\n ],\n [\n -86.20834350585938,\n 42.757600383443204\n ],\n [\n -86.20834350585938,\n 42.76516228327467\n ],\n [\n -86.21177673339844,\n 42.770707089907546\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.7757568359375,\n 44.99394031891059\n ],\n [\n -85.91033935546875,\n 45.06576154770312\n ],\n [\n -86.187744140625,\n 44.97062759301016\n ],\n [\n -86.12457275390625,\n 44.813018740612776\n ],\n [\n -86.06689453125,\n 44.80327564555043\n ],\n [\n -86.0723876953125,\n 44.91035917458495\n ],\n [\n -86.01470947265625,\n 44.902577996288876\n ],\n [\n -85.97900390625,\n 44.90646871709883\n ],\n [\n -85.93505859374999,\n 44.96674121705534\n ],\n [\n -85.88287353515625,\n 44.958967675170506\n ],\n [\n -85.84442138671875,\n 44.94536144236941\n ],\n [\n -85.77850341796875,\n 44.97451370563986\n ],\n [\n -85.7757568359375,\n 44.99394031891059\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.2591552734375,\n 44.678418678188606\n ],\n [\n -86.44729614257812,\n 44.700873786431515\n ],\n [\n -86.43356323242186,\n 44.62077663521467\n ],\n [\n -86.41433715820312,\n 44.56503415498704\n ],\n [\n -86.38824462890625,\n 44.53959000445632\n ],\n [\n -86.29074096679688,\n 44.54839885389387\n ],\n [\n -86.21795654296875,\n 44.55329208318493\n ],\n [\n -86.23992919921875,\n 44.61784415342067\n ],\n [\n -86.26052856445312,\n 44.666699513609174\n ],\n [\n -86.2591552734375,\n 44.678418678188606\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.2698974609375,\n 44.82860426955568\n ],\n [\n -87.14080810546875,\n 44.78378451819761\n ],\n [\n -87.12570190429688,\n 44.751609766121646\n ],\n [\n -87.12844848632812,\n 44.724295922018655\n ],\n [\n -87.16278076171875,\n 44.69501677140782\n ],\n [\n -87.21359252929686,\n 44.67158278684375\n ],\n [\n -87.35092163085938,\n 44.71258603912906\n ],\n [\n -87.33856201171874,\n 44.73990541282037\n ],\n [\n -87.32070922851562,\n 44.761361583580005\n ],\n [\n -87.3193359375,\n 44.788657917188104\n ],\n [\n -87.30422973632812,\n 44.80425002911523\n ],\n [\n -87.27676391601562,\n 44.822760189927365\n ],\n [\n -87.2698974609375,\n 44.82860426955568\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566c01ece4b09cfe53ca5af6","contributors":{"authors":[{"text":"Turschak, Benjamin A.","contributorId":150497,"corporation":false,"usgs":false,"family":"Turschak","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":true,"id":581860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":141167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czesny, Sergiusz J.","contributorId":138598,"corporation":false,"usgs":false,"family":"Czesny","given":"Sergiusz","email":"","middleInitial":"J.","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":581861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hook, Tomas O.","contributorId":108404,"corporation":false,"usgs":true,"family":"Hook","given":"Tomas","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":581862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janssen, John","contributorId":52543,"corporation":false,"usgs":true,"family":"Janssen","given":"John","affiliations":[],"preferred":false,"id":581863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":581859,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bootsma, Harvey A.","contributorId":150498,"corporation":false,"usgs":false,"family":"Bootsma","given":"Harvey","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":581864,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70133273,"text":"70133273 - 2014 - Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","interactions":[],"lastModifiedDate":"2020-12-21T17:29:18.638532","indexId":"70133273","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","docAbstract":"Watershed mass-balance methods are valuable tools for demonstrating impacts to water quality from atmospheric deposition and chemical weathering. Owen Bricker, a pioneer of the mass-balance method, began applying mass-balance modeling to small watersheds in the late 1960s and dedicated his career to expanding the literature and knowledge of complex watershed processes. We evaluated long-term trends in surface-water chemistry in the Loch Vale watershed, a 660-ha. alpine/subalpine catchment located in Rocky Mountain National Park, CO, USA. Many changes in surface-water chemistry correlated with multiple drivers, including summer or monthly temperature, snow water equivalent, and the runoff-to-precipitation ratio. Atmospheric deposition was not a significant causal agent for surface-water chemistry trends. We observed statistically significant increases in both concentrations and fluxes of weathering products including cations, SiO2, SO4 2−, and ANC, and in inorganic N, with inorganic N being primarily of atmospheric origin. These changes are evident in the individual months June, July, and August, and also in the combined June, July, and August summer season. Increasingly warm summer temperatures are melting what was once permanent ice and this may release elements entrained in the ice, stimulate chemical weathering with enhanced moisture availability, and stimulate microbial nitrification. Weathering rates may also be enhanced by sustained water availability in high snowpack years. Rapid change in the flux of weathering products and inorganic N is the direct and indirect result of a changing climate from warming temperatures and thawing cryosphere.
","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9199-2","usgsCitation":"Baron, J., and Heath, J., 2014, Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 167-181, https://doi.org/10.1007/s10498-013-9199-2.","productDescription":"15 p.","startPage":"167","endPage":"181","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046111","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10498-013-9199-2","text":"Publisher Index Page"},{"id":296065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Loch Vale Watershed, Rock Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.1444091796875,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 39.977120098439634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"5465d62fe4b04d4b7dbd6584","contributors":{"authors":[{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":822,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":524986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heath, Jared","contributorId":127392,"corporation":false,"usgs":false,"family":"Heath","given":"Jared","email":"","affiliations":[{"id":6935,"text":"Natural Resources Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":524987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70186145,"text":"70186145 - 2014 - Progress in data collection and dissemination in water resources – 1974-2014","interactions":[],"lastModifiedDate":"2017-03-30T11:24:16","indexId":"70186145","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Progress in data collection and dissemination in water resources – 1974-2014","docAbstract":"In the 50 years since the founding of the American Water Resources Association (AWRA), there has been tremendous and likely unforeseen progress in water-re- sources data collection and dissemination. Langford and Doyel (1974) (henceforth L&D) described progress during the decade following the founding of AWRA, and focused their description around seven topics. L&D described the changes as being “more philosophical than technical,” and noted the importance to the water-resources com-\nmunity of the more than 30 Federal Acts or Amendments enacted in the decade. \nThe purpose of this article is to provide an update to L&D by reviewing L&D’s predictions of anticipated changes in water resources data collection and dissemi-nation, providing an overview of some of the drivers of change in the water-resources community in the last 40 years, identifying some key advances in water-resources data collection and dissemination since 1974, and out-lining some important near-term challenges. The overview is necessarily incomplete, but represents one perspective based on years of collaboration throughout the water-resources community.","language":"English","publisher":"America Water Resources Association","usgsCitation":"Bales, J.D., 2014, Progress in data collection and dissemination in water resources – 1974-2014: Water Resources Impact, v. 16, no. 3, p. 18-23.","productDescription":"6 p.","startPage":"18","endPage":"23","ipdsId":"IP-056207","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338804,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"16","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1951e4b02ff32c699cb3","contributors":{"authors":[{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70103270,"text":"70103270 - 2014 - Spatial and temporal trends in occurrence of emerging and legacy contaminants in the Lower Columbia River 2008-2010","interactions":[],"lastModifiedDate":"2018-09-14T15:59:04","indexId":"70103270","displayToPublicDate":"2014-04-30T14:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal trends in occurrence of emerging and legacy contaminants in the Lower Columbia River 2008-2010","docAbstract":"The Lower Columbia River in Oregon and Washington, USA, is an important resource for aquatic and terrestrial organisms, agriculture, and commerce. An 86-mile stretch of the river was sampled over a 3 year period in order to determine the spatial and temporal trends in the occurrence and concentration of water-borne organic contaminants. Sampling occurred at 10 sites along this stretch and at 1 site on the Willamette River using the semipermeable membrane device (SPMD) and the polar organic chemical integrative sampler (POCIS) passive samplers. Contaminant profiles followed the predicted trends of lower numbers of detections and associated concentrations in the rural areas to higher numbers and concentrations at the more urbanized sites. Industrial chemicals, plasticizers, and PAHs were present at the highest concentrations. Differences in concentrations between sampling periods were related to the amount of rainfall during the sampling period. In general, water concentrations of wastewater-related contaminants decreased and concentrations of legacy contaminants slightly increased with increasing rainfall amounts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.128","usgsCitation":"Alvarez, D.A., Perkins, S.D., Nilsen, E.B., and Morace, J.L., 2014, Spatial and temporal trends in occurrence of emerging and legacy contaminants in the Lower Columbia River 2008-2010: Science of the Total Environment, v. 484, p. 322-330, https://doi.org/10.1016/j.scitotenv.2013.07.128.","productDescription":"9 p.","startPage":"322","endPage":"330","numberOfPages":"9","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-045561","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":286824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286823,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.128"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.09,45.54 ], [ -124.09,49.35 ], [ -117.6,49.35 ], [ -117.6,45.54 ], [ -124.09,45.54 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53620d53e4b0c409c6289a34","contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":493220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Stephanie D. sperkins@usgs.gov","contributorId":2745,"corporation":false,"usgs":true,"family":"Perkins","given":"Stephanie","email":"sperkins@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":493221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nilsen, Elena B. 0000-0002-0104-6321 enilsen@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":923,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","email":"enilsen@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morace, Jennifer L. 0000-0002-8132-4044 jlmorace@usgs.gov","orcid":"https://orcid.org/0000-0002-8132-4044","contributorId":945,"corporation":false,"usgs":true,"family":"Morace","given":"Jennifer","email":"jlmorace@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493219,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103280,"text":"70103280 - 2014 - Assessing reproductive and endocrine parameters in male largescale suckers (Catostomus macrocheilus) along a contaminant gradient in the lower Columbia River, USA","interactions":[],"lastModifiedDate":"2014-05-08T09:10:41","indexId":"70103280","displayToPublicDate":"2014-04-30T14:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing reproductive and endocrine parameters in male largescale suckers (Catostomus macrocheilus) along a contaminant gradient in the lower Columbia River, USA","docAbstract":"Persistent organochlorine pollutants such as polychlorinated biphenyls (PCBs), dichlorodiphenyldichloroethylene (p,p′-DDE), and polybrominated diphenyl ethers (PBDEs) are stable, bioaccumulative, and widely found in the environment, wildlife, and the human population. To explore the hypothesis that reproduction in male fish is associated with environmental exposures in the lower Columbia River (LCR), reproductive and endocrine parameters were studied in male resident, non-anadromous largescale sucker (Catostomus macrocheilus) (LSS) in the same habitats as anadromous salmonids having conservation status. Testes, thyroid tissue and plasma collected in 2010 from Longview (LV), Columbia City (CC), and Skamania (SK; reference) were studied. Sperm morphologies and thyrocyte heights were measured by light microscopy, sperm motilities by computer-assisted sperm motion analysis, sperm adenosine triphosphate (ATP) with luciferase, and plasma vitellogenin (VTG), thyroxine (T4), and triiodothyronine (T3) by immunoassay. Sperm apoptosis, viability, mitochondrial membrane potential, nuclear DNA fragmentation, and reproductive stage were measured by flow cytometry. Sperm quality parameters (except counts) and VTG were significantly different among sites, with correlations between VTG and 7 sperm parameters. Thyrocyte heights, T4, T3, gonadosomatic index and Fulton's condition factor differed among sites, but not significantly. Sperm quality was significantly lower and VTG higher where liver contaminants and water estrogen equivalents were highest (LV site). Total PCBs (specifically PCB-138, -146, -151, -170, -174, -177, -180, -183, -187, -194, and -206) and total PBDEs (specifically BDE-47, -100, -153, and -154) were negatively correlated with sperm motility. PCB-206 and BDE-154 were positively correlated with DNA fragmentation, and pentachloroanisole and VTG were positively correlated with sperm apoptosis and negatively correlated with ATP. BDE-99 was positively correlated with sperm counts and motility; T4 was negatively correlated with counts and positively correlated with motility, thus indicating possible androgenic mechanisms and thyroid endocrine disruption. Male LSS proved to be an informative model for studying reproductive and endocrine biomarkers in the LCR.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.097","usgsCitation":"Jenkins, J.A., Olivier, H., Draugelis-Dale, R., Eilts, B., Torres, L., Patiño, R., Nilsen, E.B., and Goodbred, S.L., 2014, Assessing reproductive and endocrine parameters in male largescale suckers (Catostomus macrocheilus) along a contaminant gradient in the lower Columbia River, USA: Science of the Total Environment, v. 484, p. 365-378, https://doi.org/10.1016/j.scitotenv.2013.09.097.","productDescription":"14 p.","startPage":"365","endPage":"378","numberOfPages":"14","ipdsId":"IP-046167","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473034,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/05h140jb","text":"External Repository"},{"id":286822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286801,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.09.097"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.09,45.54 ], [ -124.09,49.35 ], [ -117.6,49.35 ], [ -117.6,45.54 ], [ -124.09,45.54 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53620d4fe4b0c409c6289a24","chorus":{"doi":"10.1016/j.scitotenv.2013.09.097","url":"http://dx.doi.org/10.1016/j.scitotenv.2013.09.097","publisher":"Elsevier BV","authors":"Jenkins J.A., Olivier H.M., Draugelis-Dale R.O., Eilts B.E., Torres L., Patiño R., Nilsen E., Goodbred S.L.","journalName":"Science of The Total Environment","publicationDate":"6/2014"},"contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":493224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olivier, H.M.","contributorId":70690,"corporation":false,"usgs":true,"family":"Olivier","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":493228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Draugelis-Dale, R. O. 0000-0001-8532-3287","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":103076,"corporation":false,"usgs":true,"family":"Draugelis-Dale","given":"R. O.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":493229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eilts, B.E.","contributorId":52082,"corporation":false,"usgs":true,"family":"Eilts","given":"B.E.","affiliations":[],"preferred":false,"id":493226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, L.","contributorId":28089,"corporation":false,"usgs":true,"family":"Torres","given":"L.","email":"","affiliations":[],"preferred":false,"id":493225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patiño, R.","contributorId":58565,"corporation":false,"usgs":true,"family":"Patiño","given":"R.","affiliations":[],"preferred":false,"id":493227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nilsen, Elena B. 0000-0002-0104-6321 enilsen@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":923,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","email":"enilsen@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493223,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":493222,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70173452,"text":"70173452 - 2014 - Long-term citizen-collected data reveal geographical patterns and temporal trends in lake water clarity","interactions":[],"lastModifiedDate":"2019-06-03T13:26:54","indexId":"70173452","displayToPublicDate":"2014-04-30T14:30:00","publicationYear":"2014","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":"Long-term citizen-collected data reveal geographical patterns and temporal trends in lake water clarity","docAbstract":"We compiled a lake-water clarity database using publicly available, citizen volunteer observations made between 1938 and 2012 across eight states in the Upper Midwest, USA. Our objectives were to determine (1) whether temporal trends in lake-water clarity existed across this large geographic area and (2) whether trends were related to the lake-specific characteristics of latitude, lake size, or time period the lake was monitored. Our database consisted of >140,000 individual Secchi observations from 3,251 lakes that we summarized per lake-year, resulting in 21,020 summer averages. Using Bayesian hierarchical modeling, we found approximately a 1% per year increase in water clarity (quantified as Secchi depth) for the entire population of lakes. On an individual lake basis, 7% of lakes showed increased water clarity and 4% showed decreased clarity. Trend direction and strength were related to latitude and median sample date. Lakes in the southern part of our study-region had lower average annual summer water clarity, more negative long-term trends, and greater inter-annual variability in water clarity compared to northern lakes. Increasing trends were strongest for lakes with median sample dates earlier in the period of record (1938–2012). Our ability to identify specific mechanisms for these trends is currently hampered by the lack of a large, multi-thematic database of variables that drive water clarity (e.g., climate, land use/cover). Our results demonstrate, however, that citizen science can provide the critical monitoring data needed to address environmental questions at large spatial and long temporal scales. Collaborations among citizens, research scientists, and government agencies may be important for developing the data sources and analytical tools necessary to move toward an understanding of the factors influencing macro-scale patterns such as those shown here for lake water clarity.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0095769","usgsCitation":"Lottig, N.R., Wagner, T., Henry, E.N., Cheruvelil, K.S., Webster, K.E., Downing, J.A., and Stow, C., 2014, Long-term citizen-collected data reveal geographical patterns and temporal trends in lake water clarity: PLoS ONE, v. 9, no. 4, e95769; 8 p., https://doi.org/10.1371/journal.pone.0095769.","productDescription":"e95769; 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053624","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0095769","text":"Publisher Index Page"},{"id":324211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.800477,42.49192],[-87.812461,42.232278],[-87.511043,41.696535],[-87.187651,41.629653],[-86.616978,41.896625],[-86.321803,42.310743],[-86.208309,42.762789],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.291346,45.062597],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.833103,44.036851],[-82.643166,43.852468],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-82.481214,41.381342],[-81.69325,41.514161],[-80.533774,41.973475],[-80.518991,40.638801],[-80.667957,40.582496],[-80.619297,40.26517],[-80.88036,39.620706],[-81.656138,39.277355],[-81.874857,38.881174],[-82.068864,38.984878],[-82.318111,38.457876],[-82.569368,38.406258],[-82.923694,38.750076],[-83.301951,38.598178],[-83.512571,38.701716],[-83.762445,38.652103],[-84.212904,38.805707],[-84.445242,39.114461],[-84.744149,39.147458],[-84.888873,39.066376],[-84.816506,38.80532],[-85.448862,38.713368],[-85.415272,38.555416],[-85.816164,38.282969],[-86.042354,37.958018],[-86.33281,38.182938],[-86.634271,37.843845],[-86.810913,37.99715],[-87.065388,37.810481],[-87.402632,37.942267],[-87.666522,37.827455],[-87.921744,37.907885],[-88.158374,37.639948],[-88.063311,37.515755],[-88.450127,37.411717],[-88.490068,37.067874],[-89.058036,37.188767],[-89.171881,37.068184],[-89.202607,36.601576],[-89.343753,36.630991],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.870481,40.71248],[-95.929889,41.415155],[-96.096186,41.547192],[-96.077543,41.777824],[-96.628741,42.757532],[-96.448134,43.104452],[-96.598396,43.495074],[-96.453049,43.500415],[-96.452948,45.268925],[-96.835451,45.586129],[-96.587093,45.816445],[-96.559271,46.058272],[-96.789572,46.639079],[-96.851293,47.589264],[-97.139497,48.153108],[-97.108655,48.691484],[-97.238387,48.982631],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.86827,47.5569],[-92.058888,46.809938],[-91.942988,46.679939],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.398478,46.575832],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192]]],[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA \"}}]}","volume":"9","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"576bb6b7e4b07657d1a228f6","contributors":{"authors":[{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":640313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Emily N.","contributorId":172189,"corporation":false,"usgs":false,"family":"Henry","given":"Emily","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":640314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheruvelil, Kendra Spence","contributorId":150607,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"Spence","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":640315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":640316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downing, John A.","contributorId":169033,"corporation":false,"usgs":false,"family":"Downing","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":640317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":640318,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70103170,"text":"sir20145035 - 2014 - U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29-May 2, 2014","interactions":[],"lastModifiedDate":"2017-05-26T12:40:18","indexId":"sir20145035","displayToPublicDate":"2014-04-29T14:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5035","title":"U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29-May 2, 2014","docAbstract":"Karst aquifer systems are present throughout parts of the United States and some of its territories, and have developed in carbonate rocks (primarily limestone and dolomite) that span an interval of time encompassing more than 550 million years. The depositional environments, diagenetic processes, post-depositional tectonic events, and geochemical weathering processes that form karst aquifers are varied and complex, and involve biological, chemical, and physical changes. These factors, combined with the diverse climatic regimes under which karst development in these rocks has taken place, result in the unique dual- or triple-porosity nature of karst aquifers. These complex hydrogeologic systems typically represent challenging and unique conditions to scientists attempting to study groundwater flow and contaminant transport in these terrains.
The dissolution of carbonate rocks and the subsequent development of distinct and beautiful landscapes, caverns, and springs has resulted in the most exceptional karst areas of the United States being designated as national or state parks; commercial caverns and known privately owned caves number in the tens of thousands. Both public and private properties provide access for scientists to study the flow of groundwater in situ. Likewise, the range and complexity of landforms and groundwater flow systems associated with karst terrains are enormous, perhaps more than for any other aquifer type. Karst aquifers and landscapes that form in tropical areas, such as the cockpit karst along the north coast of Puerto Rico, differ greatly from karst landforms in more arid climates, such as the Edwards Plateau in west-central Texas or the Guadalupe Mountains near Carlsbad, New Mexico, where hypogenic processes have played a major role in speleogenesis. Many of these public and private lands also contain unique flora and fauna associated with these karst hydrogeologic systems. As a result, numerous federal, state, and local agencies have a strong interest in the study of karst terrains.
Many of the major springs and aquifers in the United States have developed in carbonate rocks, such as the Floridan aquifer system in Florida and parts of Alabama, Georgia, and South Carolina; the Ozark Plateaus aquifer system in parts of Arkansas, Kansas, Missouri, and Oklahoma; and the Edwards-Trinity aquifer system in west-central Texas. These aquifers, and the springs that discharge from them, serve as major water-supply sources and as unique ecological habitats. Competition for the water resources of karst aquifers is common, and urban development and the lack of attenuation of contaminants in karst areas can impact the ecosystem and water quality of these aquifers.
The concept for developing a platform for interaction among scientists within the U.S. Geological Survey (USGS) working on karst-related studies evolved from the November 1999 National Ground-Water Meeting of the USGS. As a result, the Karst Interest Group (KIG) was formed in 2000. The KIG is a loose-knit, grass-roots organization of USGS and non-USGS scientists and researchers devoted to fostering better communication among scientists working on, or interested in, karst science. The primary mission of the KIG is to encourage and support interdisciplinary collaboration and technology transfer among scientists working in karst areas. Additionally, the KIG encourages collaborative studies between the different mission areas of the USGS as well as other federal and state agencies, and with researchers from academia and institutes. The KIG also encourages younger scientists by participation of students in the poster and oral sessions.
To accomplish its mission, the KIG has organized a series of workshops that are held near nationally important karst areas. To date (2014) six KIG workshops, including the workshop documented in this report, have been held. The workshops typically include oral and poster sessions on selected karst-related topics and research, as well as field trips to local karst features. Proceedings of the workshops are published by the USGS and are available online at http://water.usgs.gov/ogw/karst/kig.
The first KIG workshop was held in St. Petersburg, Florida, February 13–16, 2001, in the vicinity of the large springs and other karst features of the Floridan aquifer system. The second KIG workshop was held August 20–22, 2002, in Shepherdstown, West Virginia, in proximity to the carbonate aquifers of the northern Shenandoah Valley and highlighted an invited presentation on karst literature by the late Barry F. Beck of P.E. LaMoreaux and Associates. The third KIG workshop was held September 12–15, 2005, in Rapid City, South Dakota, nearby to karst features in evaporites and limestones of the Madison Group in the Black Hills of South Dakota, including Wind Cave National Park and Jewel Cave National Monument. The workshop also included a featured presentation by Thomas Casadevall, Central Region Director, USGS, on the status of earth science at the USGS and evening trips to Jewel Cave led by Mike Wiles, National Park Service (NPS) and Wind Cave led by Rod Horrocks, NPS. The fourth KIG workshop was held May 27–29, 2008, and hosted by the Hoffman Environmental Research Institute and Center for Cave and Karst Studies at Western Kentucky University in Bowling Green, Kentucky, near Mammoth Cave National Park and karst features of the Chester Upland and Pennyroyal Plateau. The workshop featured a late-night field trip into Mammoth Cave with Rickard Toomey and Rick Olsen, NPS. The fifth workshop was held April 26–29, 2011, and was a joint meeting of the USGS KIG and University of Arkansas HydroDays, hosted by the Department of Geosciences at the University of Arkansas in Fayetteville. The workshop featured an outstanding field trip to the unique karst terrain along the Buffalo National River of the southern Ozarks and a keynote presentation on paleokarst in the United States by Art and Peggy Palmer.
This sixth and current 2014 KIG workshop is hosted by the National Cave and Karst Research Institute (NCKRI) in Carlsbad, New Mexico, with Director of NCKRI, George Veni, serving as co-chair of the workshop with Eve Kuniansky, USGS. The session planning committee for this sixth workshop includes Van Brahana, USGS retired and University of Arkansas Professor Emeritus; Tom Byl, USGS and Tennessee State University; Zelda Bailey, former Director of NCKRI and retired Director, National Institute of Standards and Technology, Boulder Laboratory, Colorado; Patrick Tucci, USGS retired; and Mike Bradley, Allan Clark, Geoff Delin, Daniel Doctor, James Kaufmann, Eve Kuniansky, Randy Orndorff, Larry Spangler, and Dave Weary of the USGS. The karst hydrology field trip on Thursday will be led by Lewis Land (NCKRI karst hydrologist) and the optional Friday field trip on the geology of Carlsbad Caverns National Park will be led by George Veni. The keynote speaker is Dr. Penelope Boston, Director of Cave and Karst Studies at New Mexico Tech, Socorro, and Academic Director at NCKRI, who will address the future of karst research. Additionally, there is a featured presentation “Irish karst and its management,” by Caoimhe Hickey, The Geological Survey of Ireland, preceding a panel discussion on “Collaboration During Times of Limited Resources.”
The extended abstracts of USGS authors were peer reviewed and approved for publication by the U.S. Geological Survey. Articles submitted by university researchers and other federal and state agencies did not go through the formal USGS peer review and approval process, and therefore may not adhere to our editorial standards or stratigraphic nomenclature and is not research conducted or data collected by the USGS. However, all articles had at a minimum of two peer reviews, and all articles were edited for consistency of appearance in the published Proceedings. The use of trade, firm or product names in any article is for descriptive purposes only and does not imply endorsement by the U.S. Government. The USGS, Office of Groundwater, provides technical support for the Karst Interest Group website and public availability of the Proceedings from these workshops, and the USGS Groundwater Resources Program funds the publication costs. Finally, the cover illustration is the work of Ann Tihansky, USGS, used since the first KIG workshop in 2000.
","conferenceTitle":"U.S. Geological Survey Karst Interest Group Proceedings","conferenceDate":"April 29 - May 2, 2014","conferenceLocation":"Carlsbad, NM","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145035","collaboration":"A product of the Groundwater Resources Program. Prepared in cooperation with the National Cave and Karst Research Institute","usgsCitation":"Kuniansky, E.L., and Spangler, L.E., 2014, U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29-May 2, 2014: U.S. Geological Survey Scientific Investigations Report 2014-5035, iv, 155 p., https://doi.org/10.3133/sir20145035.","productDescription":"iv, 155 p.","numberOfPages":"162","ipdsId":"IP-054730","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":286782,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5035/sir2014-5035.pdf"},{"id":286783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145035.jpg"},{"id":286773,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5035/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5360bbd2e4b082a3ecf53dce","contributors":{"editors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":509842,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509843,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":493191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493192,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047331,"text":"70047331 - 2014 - Foodweb transfer, sediment transport, and biological impacts of emerging and legacy organic contaminants in the lower Columbia River, Oregon and Washington, USA: Contaminants and Habitat (ConHab) Project","interactions":[],"lastModifiedDate":"2014-04-29T11:24:17","indexId":"70047331","displayToPublicDate":"2014-04-29T09:11:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Foodweb transfer, sediment transport, and biological impacts of emerging and legacy organic contaminants in the lower Columbia River, Oregon and Washington, USA: Contaminants and Habitat (ConHab) Project","docAbstract":"No abstract available","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.127","usgsCitation":"Nilsen, E.B., and Morace, J.L., 2014, Foodweb transfer, sediment transport, and biological impacts of emerging and legacy organic contaminants in the lower Columbia River, Oregon and Washington, USA: Contaminants and Habitat (ConHab) Project: Science of the Total Environment, v. 484, p. 319-321, https://doi.org/10.1016/j.scitotenv.2013.07.127.","productDescription":"3 p.","startPage":"319","endPage":"321","numberOfPages":"3","ipdsId":"IP-048890","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":473036,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/9115x9g5","text":"External Repository"},{"id":285134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281225,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.127"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.9947,45.4986 ], [ -122.9947,45.9998 ], [ -121.9977,45.9998 ], [ -121.9977,45.4986 ], [ -122.9947,45.4986 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5360bbd0e4b082a3ecf53dc6","contributors":{"authors":[{"text":"Nilsen, Elena B. 0000-0002-0104-6321 enilsen@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":923,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","email":"enilsen@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morace, Jennifer L. 0000-0002-8132-4044 jlmorace@usgs.gov","orcid":"https://orcid.org/0000-0002-8132-4044","contributorId":945,"corporation":false,"usgs":true,"family":"Morace","given":"Jennifer","email":"jlmorace@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481721,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70099908,"text":"ds836 - 2014 - Concentrations of selected constituents in surface-water and streambed-sediment samples collected from streams in and near an area of oil and natural-gas development, south-central Texas, 2011-13","interactions":[],"lastModifiedDate":"2016-08-05T12:33:52","indexId":"ds836","displayToPublicDate":"2014-04-28T15:50:54","publicationYear":"2014","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":"836","title":"Concentrations of selected constituents in surface-water and streambed-sediment samples collected from streams in and near an area of oil and natural-gas development, south-central Texas, 2011-13","docAbstract":"During 2011–13, the U.S. Geological Survey, in cooperation with the San Antonio River Authority and the Guadalupe-Blanco River Authority, analyzed surface-water and streambed-sediment samples collected from 10 sites in the San Antonio River Basin to provide data for a broad range of constituents that might be associated with hydraulic fracturing and the produced waters that are a consequence of hydraulic fracturing. Among surface-water samples, all sulfide concentrations were less than the method detection limit of 0.79 milligrams per liter. Four glycols—diethylene glycol, ethylene glycol, propylene glycol, and triethylene glycol—were analyzed for in surface-water samples collected for this study, and none were detected. Of the 91 semivolatile organic compounds analyzed for this study, there were six detections, all but one of which were in storm-runoff samples. The base-flow sample collected at the San Antonio River at Goliad, Tex. (SAR Goliad), site contained bis(2-ethylhexyl) phthalate, a plasticizer in polyvinyl chloride and a constituent in hydraulic fracturing fluids. The storm-runoff samples collected at the San Antonio River near Elmendorf, Tex. (SAR Elmendorf), and Ecleto Creek at County Road 326 near Runge, Tex. (Ecleto 2), sites also contained bis(2-ethylhexyl) phthalate. The storm-runoff sample collected at the SAR Elmendorf site contained the plasticizer diethyl phthalate. Both storm-runoff samples collected at the Ecleto Creek near Runge, Tex. (Ecleto 1), and Ecleto 2 sites contained benzyl alcohol, a solvent commonly used in paints. Of the 67 volatile organic compounds analyzed in this study, there were a total of six detections, all of which were in base-flow samples. The surface-water sample collected at the SAR Elmendorf site contained bromodichloromethane, dibromochloromethane, and trichloromethane, all of which are disinfection byproducts associated with the chlorination of municipal water supplies and of treated municipal wastewater. The sample collected at the Cibolo Creek near Saint Hedwig, Tex. (Cibolo St. Hedwig), site contained toluene, a fuel additive, solvent, and industrial feedstock used to produce benzene and a constituent associated with produced waters. The Cibolo St. Hedwig site is upstream from current (2014) oil and natural-gas production areas. Dichloromethane, an industrial solvent with multiple uses, was detected in surface-water samples at both the San Antonio River at State Highway 72 near Runge, Tex. (SAR 72), and SAR Goliad sites.
\nIn streambed-sediment samples, concentrations of total saturated hydrocarbons (TSH) ranged from an estimated 260 micrograms per kilogram (μg/kg) in the less than (<) 2-millimeter (mm) size-fraction sample collected at the SAR Goliad site to 11,000 μg/kg in the <2-mm size-fraction sample collected at the Ecleto 1 site. TSH concentrations were greater in the <63-micrometer (μm) size-fraction samples than in the <2-mm size-fraction samples in streambed-sediment samples collected from 5 of the 9 sites. Total polycyclic aromatic hydrocarbons (PAHs) were calculated as the sum of the individual PAHs and alkylated PAHs. Total PAH concentrations ranged from less than the method detection limit in the <2-mm size-fraction samples collected from multiple sites to 1,600 μg/kg in the <2-mm size-fraction sample collected from the San Antonio River near McFaddin, Tex. (SAR McFaddin), site. Total PAH concentrations were greater in the <63-μm size-fraction samples than in the <2-mm size-fraction samples at 7 of the 9 sites.
\nDuring collection of streambed-sediment samples, additional samples from a subset of three sites (the SAR Elmendorf, SAR 72, and SAR McFaddin sites) were processed by using a 63-µm sieve on one aliquot and a 2-mm sieve on a second aliquot for PAH and n-alkane analyses. The purpose of analyzing PAHs and n-alkanes on a sample containing sand, silt, and clay versus a sample containing only silt and clay was to provide data that could be used to determine if these organic constituents had a greater affinity for silt- and clay-sized particles relative to sand-sized particles. The greater concentrations of PAHs in the <63-μm size-fraction samples at all three of these sites are consistent with a greater percentage of binding sites associated with fine-grained (<63 μm) sediment versus coarse-grained (<2 mm) sediment. The larger difference in total PAHs between the <2-mm and <63-μm size-fraction samples at the SAR Elmendorf site might be related to the large percentage of sand in the <2-mm size-fraction sample which was absent in the <63-μm size-fraction sample. In contrast, the <2-mm size-fraction sample collected from the SAR McFaddin site contained very little sand and was similar in particle-size composition to the <63-μm size-fraction sample.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds836","collaboration":"Prepared in cooperation with the San Antonio River Authority and the Guadalupe-Blanco River Authority","usgsCitation":"Opsahl, S.P., and Crow, C.L., 2014, Concentrations of selected constituents in surface-water and streambed-sediment samples collected from streams in and near an area of oil and natural-gas development, south-central Texas, 2011-13 (Originally posted April 29, 2014; Version 1.1: January 28, 2015): U.S. Geological Survey Data Series 836, Report: v, 25 p.; Appendixes 1-18, https://doi.org/10.3133/ds836.","productDescription":"Report: v, 25 p.; Appendixes 1-18","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054353","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":286793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds836.jpg"},{"id":286792,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/836/downloads/ds836_appendixes1-18.xlsx","text":"Appendixes 1-18","size":"119 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendixes 1-18"},{"id":286791,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/836/pdf/ds836.pdf","text":"Report","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":286788,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/836/"}],"scale":"24000","projection":"Universal Transverse Mercator, zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"San Antonio River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,28.667 ], [ -98,29.667 ], [ -97,29.667 ], [ -97,28.667 ], [ -98,28.667 ] ] ] } } ] }","edition":"Originally posted April 29, 2014; Version 1.1: January 28, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5360c9e8e4b082a3ecf53dea","contributors":{"authors":[{"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":492058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492057,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103043,"text":"70103043 - 2014 - Use of main channel and two backwater habitats by larval fishes in the Detroit River","interactions":[],"lastModifiedDate":"2014-06-19T09:24:27","indexId":"70103043","displayToPublicDate":"2014-04-28T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of main channel and two backwater habitats by larval fishes in the Detroit River","docAbstract":"Recent investigations in the Detroit River have revealed renewed spawning activity by several important fishes, but little is known about their early life history requirements. We surveyed two main channel and two backwater areas in the lower Detroit River weekly from May to July 2007 to assess habitat use by larval fishes. Backwater areas included a soft-sediment embayment (FI) and a hard-sediment area (HIW). Main channel sites were located adjacent to each backwater area. Water temperature, velocity and clarity measurements and zooplankton samples were collected weekly. A macrophyte assessment was conducted in July. Growth and diet of larval yellow perch (Perca flavescens), bluegill (Lepomis macrochirus) and round goby (Neogobius melanostomus) were used to assess habitat quality. Macrophyte diversity and percent cover were higher and velocity lower at FI than HIW. Although larval fish diversity was highest in the main channel, yellow perch and bluegill larvae only grew beyond the yolk stage at FI, where they preferentially selected copepods, while Daphnia were selected in the main channel. Round goby ate harpacticoid copepods and Daphnia and grew at similar rates in HIW and the main channel. These data indicate that FI was a valuable nursery area for yellow perch and bluegill, whereas HIW was better suited to round goby. We only assessed two backwater areas, thus a complete census of wetland areas in the Detroit River is needed to identify valuable habitats. Restoration of shallow backwater areas is essential for rehabilitating fish populations and should be a priority in the Detroit River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.10.001","usgsCitation":"McDonald, E.A., McNaught, A.S., and Roseman, E., 2014, Use of main channel and two backwater habitats by larval fishes in the Detroit River: Journal of Great Lakes Research, v. 40, p. 69-80, https://doi.org/10.1016/j.jglr.2013.10.001.","productDescription":"12 p.","startPage":"69","endPage":"80","numberOfPages":"12","ipdsId":"IP-050501","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":286743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286742,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.10.001"}],"country":"Canada;United States","state":"Michigan","otherGeospatial":"Detroit River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.21068,42.06184 ], [ -83.21068,42.357325 ], [ -82.859839,42.357325 ], [ -82.859839,42.06184 ], [ -83.21068,42.06184 ] ] ] } } ] }","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f6a58e4b078dca33ae33c","contributors":{"authors":[{"text":"McDonald, Erik A.","contributorId":36056,"corporation":false,"usgs":true,"family":"McDonald","given":"Erik","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNaught, A. Scott","contributorId":23439,"corporation":false,"usgs":true,"family":"McNaught","given":"A.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":493126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F.","contributorId":100334,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":493128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70102826,"text":"70102826 - 2014 - Depletion of eugenol residues from the skin-on fillet tissue of rainbow trout exposed to 14C-labeled eugenol","interactions":[],"lastModifiedDate":"2014-04-29T09:31:16","indexId":"70102826","displayToPublicDate":"2014-04-28T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Depletion of eugenol residues from the skin-on fillet tissue of rainbow trout exposed to 14C-labeled eugenol","docAbstract":"The U.S. is lagging in access to an approved immediate-release sedative, i.e. a compound that can be safely and effectively used to sedate fish and has no withdrawal period. AQUI-S® 20E (10% active ingredient, eugenol) is under investigation as an immediate-release sedative for freshwater finfish. Because of its investigational status, data are needed to characterize the depletion, distribution, and identity of AQUI-S® 20E residues in fillet tissue. Rainbow trout (Oncorhynchus mykiss) were exposed to uniformly ring labeled 14C-eugenol at a nominal concentration of 10 mg/L for 60 min in 18 °C water. Fish (n = 6) were sampled immediately after the exposure (0 min) then at 30, 60, 120, and 240 min. Eugenol concentrations and characterization of 14C residues in the fillet tissue were determined by high pressure liquid chromatography and flow-through liquid scintillation counting techniques. Total 14C-residue burdens in fillet tissue were determined by tissue oxidation and static liquid scintillation counting techniques.
\nMaximum eugenol and 14C-eugenol equivalent residue concentrations in the fillet tissue were measured immediately after the exposure (44.5 and 38.8 μg/g, respectively). Eugenol was the primary 14C-residue (> 90% of all 14C-residues) in extracts from fillet tissue taken from fish sampled immediately after the exposure (0 min) and from fish sampled at 30 and 60 min after the exposure. The depletion of 14C-eugenol residues from the fillet tissue was rapid (t1/2 = 26.25 min) after transferring the exposed fish to fresh flowing water.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquaculture","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2014.03.050","usgsCitation":"Meinertz, J.R., Schreier, T.M., Porcher, S.T., Smerud, J.R., and Gaikowski, M.P., 2014, Depletion of eugenol residues from the skin-on fillet tissue of rainbow trout exposed to 14C-labeled eugenol: Aquaculture, v. 430, p. 74-78, https://doi.org/10.1016/j.aquaculture.2014.03.050.","productDescription":"5 p.","startPage":"74","endPage":"78","numberOfPages":"5","ipdsId":"IP-054231","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":438766,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BV7DPX","text":"USGS data release","linkHelpText":"Marker residue depletion from the skin-on fillet tissue of rainbow trout exposed to AQUI S 20E:"},{"id":286728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286530,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaculture.2014.03.050"}],"volume":"430","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f6a51e4b078dca33ae31c","contributors":{"authors":[{"text":"Meinertz, Jeffery R. 0000-0002-8855-2648 jmeinertz@usgs.gov","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":2495,"corporation":false,"usgs":true,"family":"Meinertz","given":"Jeffery","email":"jmeinertz@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porcher, Scott T. sporcher@usgs.gov","contributorId":5030,"corporation":false,"usgs":true,"family":"Porcher","given":"Scott","email":"sporcher@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":493037,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70103030,"text":"70103030 - 2014 - Thresholds in the response of free-floating plant abundance to variation in hydraulic connectivity, nutrients, and macrophyte abundance in a large floodplain river","interactions":[],"lastModifiedDate":"2014-05-29T15:02:10","indexId":"70103030","displayToPublicDate":"2014-04-28T11:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds in the response of free-floating plant abundance to variation in hydraulic connectivity, nutrients, and macrophyte abundance in a large floodplain river","docAbstract":"Duckweed and other free-floating plants (FFP) can form dense surface mats that affect ecosystem condition and processes, and can impair public use of aquatic resources. FFP obtain their nutrients from the water column, and the formation of dense FFP mats can be a consequence and indicator of river eutrophication. We conducted two complementary surveys of diverse aquatic areas of the Upper Mississippi River as an in situ approach for estimating thresholds in the response of FFP abundance to nutrient concentration and physical conditions in a large, floodplain river. Local regression analysis was used to estimate thresholds in the relations between FFP abundance and phosphorus (P) concentration (0.167 mg l−1L), nitrogen (N) concentration (0.808 mg l−1), water velocity (0.095 m s−1), and aquatic macrophyte abundance (65 % cover). FFP tissue concentrations suggested P limitation was more likely in spring, N limitation was more likely in late summer, and N limitation was most likely in backwaters with minimal hydraulic connection to the channel. The thresholds estimated here, along with observed patterns in nutrient limitation, provide river scientists and managers with criteria to consider when attempting to modify FFP abundance in off-channel areas of large river systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0508-8","usgsCitation":"Giblin, S.M., Houser, J., Sullivan, J.F., Langrehr, H., Rogala, J.T., and Campbell, B.D., 2014, Thresholds in the response of free-floating plant abundance to variation in hydraulic connectivity, nutrients, and macrophyte abundance in a large floodplain river: Wetlands, v. 34, no. 3, p. 413-425, https://doi.org/10.1007/s13157-013-0508-8.","productDescription":"13 p.","startPage":"413","endPage":"425","numberOfPages":"13","ipdsId":"IP-051347","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":286717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286716,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0508-8"}],"country":"United States","otherGeospatial":"Upper Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.49,42.96 ], [ -92.49,44.58 ], [ -90.31,44.58 ], [ -90.31,42.96 ], [ -92.49,42.96 ] ] ] } } ] }","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-12-28","publicationStatus":"PW","scienceBaseUri":"535f6a57e4b078dca33ae338","contributors":{"authors":[{"text":"Giblin, Shawn M.","contributorId":99889,"corporation":false,"usgs":true,"family":"Giblin","given":"Shawn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Jeffrey N.","contributorId":26625,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey N.","affiliations":[],"preferred":false,"id":493097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, John F.","contributorId":21067,"corporation":false,"usgs":false,"family":"Sullivan","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":493096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langrehr, H.A.","contributorId":32082,"corporation":false,"usgs":true,"family":"Langrehr","given":"H.A.","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":493098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campbell, Benjamin D.","contributorId":18680,"corporation":false,"usgs":true,"family":"Campbell","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":493095,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70100562,"text":"fs20143030 - 2014 - Streamflow of 2013: water year summary","interactions":[],"lastModifiedDate":"2014-04-28T10:54:13","indexId":"fs20143030","displayToPublicDate":"2014-04-28T08:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3030","title":"Streamflow of 2013: water year summary","docAbstract":"The maps and graphs in this summary describe streamflow conditions for water year 2013 (October 1, 2012, to September 30, 2013) in the context of the 84-year period from 1930 through 2013, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey’s (USGS) National Water Information System ( http://waterdata.usgs.gov/nwis/). The period 1930–2013 was used because, prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country.
\n\nIn the summary, reference is made to the term “runoff,” which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a specified time period was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation’s rivers and streams in measurement units that can be compared from one area to another.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143030","usgsCitation":"Jian, X., Wolock, D.M., Lins, H.F., and Brady, S., 2014, Streamflow of 2013: water year summary: U.S. Geological Survey Fact Sheet 2014-3030, 8 p., https://doi.org/10.3133/fs20143030.","productDescription":"8 p.","onlineOnly":"Y","ipdsId":"IP-054561","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":286710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143030.jpg"},{"id":286525,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3030/"},{"id":286526,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3030/pdf/fs2014-3030.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f6a54e4b078dca33ae334","contributors":{"authors":[{"text":"Jian, Xiaodong 0000-0002-9173-3482 xjian@usgs.gov","orcid":"https://orcid.org/0000-0002-9173-3482","contributorId":1282,"corporation":false,"usgs":true,"family":"Jian","given":"Xiaodong","email":"xjian@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":492322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":492321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":492323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":492324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70094421,"text":"sir20145031 - 2014 - Assessment of dissolved-solids loading to the Colorado River in the Paradox Basin between the Dolores River and Gypsum Canyon, Utah","interactions":[],"lastModifiedDate":"2014-04-28T06:57:24","indexId":"sir20145031","displayToPublicDate":"2014-04-28T06:40:26","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5031","title":"Assessment of dissolved-solids loading to the Colorado River in the Paradox Basin between the Dolores River and Gypsum Canyon, Utah","docAbstract":"Salinity loads throughout the Colorado River Basin have been a concern over recent decades due to adverse impacts on population, natural resources, and regional economics. With substantial financial resources and various reclamation projects, the salt loading to Lake Powell and associated total dissolved-solids concentrations in the Lower Colorado River Basin have been substantially reduced. The Colorado River between its confluence with the Dolores River and Lake Powell traverses a physiographic area where saline sedimentary formations and evaporite deposits are prevalent. However, the dissolved-solids loading in this area is poorly understood due to the paucity of water-quality data. From 2003 to 2011, the U.S. Geological Survey in cooperation with the U.S. Bureau of Reclamation conducted four synoptic sampling events to quantify the salinity loading throughout the study reach and evaluate the occurrence and impacts of both natural and anthropogenic sources. The results from this study indicate that under late-summer base-flow conditions, dissolved-solids loading in the reach is negligible with the exception of the Green River, and that variations in calculated loads between synoptic sampling events are within measurement and analytical uncertainties. The Green River contributed approximately 22 percent of the Colorado River dissolved-solids load, based on samples collected at the lower end of the study reach. These conclusions are supported by water-quality analyses for chloride and bromide, and the results of analyses for the stable isotopes of oxygen and deuterium. Overall, no significant sources of dissolved-solids loading from tributaries or directly by groundwater discharge, with the exception of the Green River, were identified in the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145031","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation and the Colorado River Basin Salinity Control Forum","usgsCitation":"Shope, C.L., and Gerner, S.J., 2014, Assessment of dissolved-solids loading to the Colorado River in the Paradox Basin between the Dolores River and Gypsum Canyon, Utah: U.S. Geological Survey Scientific Investigations Report 2014-5031, vi, 18 p., https://doi.org/10.3133/sir20145031.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-043986","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":286678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145031.jpg"},{"id":286667,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5031/"},{"id":286677,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5031/pdf/sir2014-5031.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Utah","otherGeospatial":"Colorado River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.25,37.45 ], [ -110.25,39.25 ], [ -108.75,39.25 ], [ -108.75,37.45 ], [ -110.25,37.45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f6a50e4b078dca33ae314","contributors":{"authors":[{"text":"Shope, Christopher L. cshope@usgs.gov","contributorId":5016,"corporation":false,"usgs":true,"family":"Shope","given":"Christopher","email":"cshope@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490606,"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":490605,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171006,"text":"70171006 - 2014 - A synthesis of methane emissions from 71 northern, temperate, and subtropical wetlands","interactions":[],"lastModifiedDate":"2016-05-17T10:11:45","indexId":"70171006","displayToPublicDate":"2014-04-28T05:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of methane emissions from 71 northern, temperate, and subtropical wetlands","docAbstract":"Wetlands are the largest natural source of atmospheric methane. Here, we assess controls on methane flux using a database of approximately 19 000 instantaneous measurements from 71 wetland sites located across subtropical, temperate, and northern high latitude regions. Our analyses confirm general controls on wetland methane emissions from soil temperature, water table, and vegetation, but also show that these relationships are modified depending on wetland type (bog, fen, or swamp), region (subarctic to temperate), and disturbance. Fen methane flux was more sensitive to vegetation and less sensitive to temperature than bog or swamp fluxes. The optimal water table for methane flux was consistently below the peat surface in bogs, close to the peat surface in poor fens, and above the peat surface in rich fens. However, the largest flux in bogs occurred when dry 30-day averaged antecedent conditions were followed by wet conditions, while in fens and swamps, the largest flux occurred when both 30-day averaged antecedent and current conditions were wet. Drained wetlands exhibited distinct characteristics, e.g. the absence of large flux following wet and warm conditions, suggesting that the same functional relationships between methane flux and environmental conditions cannot be used across pristine and disturbed wetlands. Together, our results suggest that water table and temperature are dominant controls on methane flux in pristine bogs and swamps, while other processes, such as vascular transport in pristine fens, have the potential to partially override the effect of these controls in other wetland types. Because wetland types vary in methane emissions and have distinct controls, these ecosystems need to be considered separately to yield reliable estimates of global wetland methane release.
","language":"English","publisher":"Blackwell Science","doi":"10.1111/gcb.12580","usgsCitation":"Turetsky, M.R., Kotowska, A., Bubier, J., Dise, N.B., Crill, P., Hornibrook, E.R., Minkkinen, K., Moore, T.R., Myers-Smith, I.H., Nykanen, H., Olefeldt, D., Rinne, J., Saarnio, S., Shurpali, N., Tuittila, E., Waddington, J.M., White, J.R., Wickland, K.P., and Wilmking, M., 2014, A synthesis of methane emissions from 71 northern, temperate, and subtropical wetlands: Global Change Biology, v. 20, no. 7, p. 2183-2197, https://doi.org/10.1111/gcb.12580.","productDescription":"15 p.","startPage":"2183","endPage":"2197","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056048","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-28","publicationStatus":"PW","scienceBaseUri":"574d6434e4b07e28b668343d","contributors":{"authors":[{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":629496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kotowska, Agnieszka","contributorId":169399,"corporation":false,"usgs":false,"family":"Kotowska","given":"Agnieszka","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":629497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bubier, Jill","contributorId":169400,"corporation":false,"usgs":false,"family":"Bubier","given":"Jill","email":"","affiliations":[{"id":25495,"text":"Mount Holyoke College","active":true,"usgs":false}],"preferred":false,"id":629498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dise, Nancy B.","contributorId":169401,"corporation":false,"usgs":false,"family":"Dise","given":"Nancy","email":"","middleInitial":"B.","affiliations":[{"id":25496,"text":"Manchester Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":629499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crill, Patrick","contributorId":169402,"corporation":false,"usgs":false,"family":"Crill","given":"Patrick","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":629500,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hornibrook, Ed R.C.","contributorId":169403,"corporation":false,"usgs":false,"family":"Hornibrook","given":"Ed","email":"","middleInitial":"R.C.","affiliations":[{"id":7172,"text":"University of Bristol, U.K. and University of Oregon, Eugene","active":true,"usgs":false}],"preferred":false,"id":629501,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Minkkinen, Kari","contributorId":169404,"corporation":false,"usgs":false,"family":"Minkkinen","given":"Kari","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":629502,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moore, Tim R.","contributorId":169405,"corporation":false,"usgs":false,"family":"Moore","given":"Tim","email":"","middleInitial":"R.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":629503,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Myers-Smith, Isla H. 0000-0002-8417-6112","orcid":"https://orcid.org/0000-0002-8417-6112","contributorId":169406,"corporation":false,"usgs":false,"family":"Myers-Smith","given":"Isla","email":"","middleInitial":"H.","affiliations":[{"id":25497,"text":"University of Edinburgh","active":true,"usgs":false}],"preferred":false,"id":629504,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nykanen, Hannu","contributorId":169407,"corporation":false,"usgs":false,"family":"Nykanen","given":"Hannu","email":"","affiliations":[{"id":25498,"text":"University of Jyvaskyla","active":true,"usgs":false}],"preferred":false,"id":629505,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":629506,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rinne, Janne 0000-0003-1168-7138","orcid":"https://orcid.org/0000-0003-1168-7138","contributorId":169409,"corporation":false,"usgs":false,"family":"Rinne","given":"Janne","email":"","affiliations":[{"id":25500,"text":"University of Helsinik","active":true,"usgs":false}],"preferred":false,"id":629507,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Saarnio, Sanna","contributorId":169410,"corporation":false,"usgs":false,"family":"Saarnio","given":"Sanna","email":"","affiliations":[{"id":25501,"text":"University of Eastern Finland","active":true,"usgs":false}],"preferred":false,"id":629508,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shurpali, Narasinha 0000-0003-1052-4396","orcid":"https://orcid.org/0000-0003-1052-4396","contributorId":169411,"corporation":false,"usgs":false,"family":"Shurpali","given":"Narasinha","email":"","affiliations":[{"id":25501,"text":"University of Eastern Finland","active":true,"usgs":false}],"preferred":false,"id":629509,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tuittila, Eeva-Stiina 0000-0001-8861-3167","orcid":"https://orcid.org/0000-0001-8861-3167","contributorId":169412,"corporation":false,"usgs":false,"family":"Tuittila","given":"Eeva-Stiina","email":"","affiliations":[{"id":25501,"text":"University of Eastern Finland","active":true,"usgs":false}],"preferred":false,"id":629510,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Waddington, J. Michael","contributorId":169413,"corporation":false,"usgs":false,"family":"Waddington","given":"J.","email":"","middleInitial":"Michael","affiliations":[{"id":25502,"text":"McMaster University","active":true,"usgs":false}],"preferred":false,"id":629511,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"White, Jeffrey R.","contributorId":169414,"corporation":false,"usgs":false,"family":"White","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":629512,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629495,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wilmking, Martin","contributorId":169415,"corporation":false,"usgs":false,"family":"Wilmking","given":"Martin","email":"","affiliations":[{"id":25503,"text":"University Greifswald","active":true,"usgs":false}],"preferred":false,"id":629513,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70099641,"text":"sir20145054 - 2014 - Evaluation of alternative groundwater-management strategies for the Bureau of Reclamation Klamath Project, Oregon and California","interactions":[],"lastModifiedDate":"2014-04-28T09:02:45","indexId":"sir20145054","displayToPublicDate":"2014-04-25T16:11:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5054","title":"Evaluation of alternative groundwater-management strategies for the Bureau of Reclamation Klamath Project, Oregon and California","docAbstract":"The water resources of the upper Klamath Basin, in southern Oregon and northern California, are managed to achieve various complex and interconnected purposes. Since 2001, irrigators in the Bureau of Reclamation Klamath Irrigation Project (Project) have been required to limit surface-water diversions to protect habitat for endangered freshwater and anadromous fishes. The reductions in irrigation diversions have led to an increased demand for groundwater by Project irrigators, particularly in drought years. The potential effects of sustained pumping on groundwater and surface-water resources have caused concern among Federal and state agencies, Indian tribes, wildlife groups, and groundwater users. To aid in the development of a viable groundwater-management strategy for the Project, the U.S. Geological Survey, in collaboration with the Klamath Water and Power Agency and the Oregon Water Resources Department, developed a groundwater-management model that links groundwater simulation with techniques of constrained optimization.
\nThe overall goal of the groundwater-management model is to determine the patterns of groundwater pumping that, to the extent possible, meet the supplemental groundwater demands of the Project. To ensure that groundwater development does not adversely affect groundwater and surface-water resources, the groundwater-management model includes constraints to (1) limit the effects of groundwater withdrawal on groundwater discharge to streams and lakes that support critical habitat for fish listed under the Endangered Species Act, (2) ensure that drawdowns do not exceed limits allowed by Oregon water law, and (3) ensure that groundwater withdrawal does not adversely affect agricultural drain flows that supply a substantial portion of water for irrigators and wildlife refuges in downslope areas of the Project. Groundwater-management alternatives were tested and designed within the framework of the Klamath Basin Restoration Agreement (currently [2013] awaiting authorizing Federal legislation), which would establish a permanent limit on the amount of surface water that can be diverted annually to the Project. Groundwater-management scenarios were evaluated for the period 1970•2004; supplemental groundwater demand by the Project was estimated as the part of irrigation demand that would not have been satisfied by the surface-water diversion allowed under the Klamath Basin Restoration Agreement. Over the 35-year management period, 22 years have supplemental groundwater demand, which ranges from a few thousand acre-feet (acre-ft) to about 100,000 acre-ft in the driest years.
\nThe results of the groundwater-management model indicate that supplemental groundwater pumping by the Project can be managed to avoid adverse effects to groundwater discharge that supports critical aquatic habitat. The existing configuration of wells in the Project would be able to meet groundwater-pumping goals in 14 of the 22 years with supplemental groundwater demand; however, substantial irrigation shortages can be expected during drought periods when the demand for supplemental groundwater is highest. The maximum irrigation-season withdrawal calculated by the groundwater-management model is about 60,000 acre-ft, the average withdrawal in drought years is about 54,000 acre-ft, and the amount of unmet groundwater demand reaches a maximum of about 45,000 acre-ft. A comparison of optimized groundwater withdrawals by geographic region shows that the highest annual withdrawals are associated with wells in the Tule Lake and Klamath Valley regions of the Project. The patterns of groundwater withdrawal also show that a substantial amount of the available pumping capacity is unused due to the restrictions imposed by drawdown constraints.
\nSubsequent model applications were used to evaluate the sensitivity of optimization results to various factors. A sensitivity analysis quantified the changes in optimized groundwater withdrawals that result from changes in drawdown-constraint limits. The analysis showed the potential for substantial increases in withdrawals of groundwater with less restrictive drawdown limits at drawdown-control sites in the California part of the model. Systematic variation of the drains-constraint limit yielded a trade-off curve between optimized groundwater withdrawals and the allowable reduction in groundwater discharge to the Project drain system. Additional model applications were used to assess the value of increasing the pumping capacity of the network of wells serving the Project, and the relation between reduced off-Project groundwater pumping and increased pumping by Project irrigators.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145054","collaboration":"Prepared in cooperation with the Klamath Water and Power Agency and the Oregon Water Resources Department","usgsCitation":"Wagner, B.J., and Gannett, M.W., 2014, Evaluation of alternative groundwater-management strategies for the Bureau of Reclamation Klamath Project, Oregon and California: U.S. Geological Survey Scientific Investigations Report 2014-5054, vi, 48 p., https://doi.org/10.3133/sir20145054.","productDescription":"vi, 48 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-049260","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":286547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145054.jpg"},{"id":286524,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5054/"},{"id":286546,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5054/pdf/sir2014-5054.pdf"}],"projection":"Universal Transverse Mercator, Zone 10N","datum":"North American Datum of 1927","country":"United States","state":"California;Oregon","otherGeospatial":"Klamath Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7722,41.1952 ], [ -122.7722,43.4928 ], [ -120.3992,43.4928 ], [ -120.3992,41.1952 ], [ -122.7722,41.1952 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535b67dee4b0519b31c21a60","contributors":{"authors":[{"text":"Wagner, Brian J. bjwagner@usgs.gov","contributorId":427,"corporation":false,"usgs":true,"family":"Wagner","given":"Brian","email":"bjwagner@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":491996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101775,"text":"sir20145068 - 2014 - Characterization of the structure, clean-sand percentage, dissolved-solids concentrations, and estimated quantity of groundwater in the Upper Cretaceous Nacatoch Sand and Tokio Formation, Arkansas","interactions":[],"lastModifiedDate":"2014-04-25T14:36:37","indexId":"sir20145068","displayToPublicDate":"2014-04-25T14:32:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5068","title":"Characterization of the structure, clean-sand percentage, dissolved-solids concentrations, and estimated quantity of groundwater in the Upper Cretaceous Nacatoch Sand and Tokio Formation, Arkansas","docAbstract":"The West Gulf Coastal Plain, Mississippi embayment, and underlying Cretaceous aquifers are rich in water resources; however, large parts of the aquifers are largely unusable because of large concentrations of dissolved solids. Cretaceous aquifers are known to have large concentrations of salinity in some parts of Arkansas. The Nacatoch Sand and the Tokio Formation of Upper Cretaceous age were chosen for investigation because these aquifers produce groundwater to wells near their outcrops and have large salinity concentrations away from their outcrop areas. Previous investigations have indicated that dissolved-solids concentrations of groundwater within the Nacatoch Sand, 2–20 miles downdip from the outcrop, render the groundwater as unusable for purposes requiring freshwater. Groundwater within the Tokio Formation also exhibits large concentrations of dissolved solids downdip. Water-quality data showing elevated dissolved-solids concentrations are limited for these Cretaceous aquifers because other shallower aquifers are used for water supply. Although not suitable for many uses, large, unused amounts of saline groundwater are present in these aquifers. Historical borehole geophysical logs were used to determine the geologic and hydrogeologic properties of these Cretaceous aquifers, as well as the quality of the groundwater within the aquifers. Based on the interpretation of borehole geophysical logs, in Arkansas, the altitude of the top of the Nacatoch Sand ranges from more than 200 to less than -4,000 feet; the structural high occurs in the outcrop area and the structural low occurs in southeastern Arkansas near the Desha Basin structural feature. The thickness of the Nacatoch Sand ranges from 0 to over 550 feet. The minimum thickness occurs where the formation pinches out in the outcrop area, and the maximum thickness occurs in the southwestern corner of Arkansas. Other areas of large thickness include the area of the Desha Basin structural feature in southeastern Arkansas and in an area on the border of Cross and St. Francis Counties in eastern Arkansas. The clean-sand percentage of the total Nacatoch Sand thickness ranges from less than 20 percent to more than 60 percent and generally decreases downdip. The Nacatoch Sand contains more than 120.5 million acre-feet of water with a dissolved-solids concentration between 1,000 and 10,000 milligrams per liter (mg/L), more than 57.5 million acre-feet of water with a dissolved-solids concentration between 10,000 and 35,000 mg/L, and more than 122.5 million acre-feet of water with a dissolved-solids concentration more than 35,000 mg/L. The altitude of the top of the Tokio Formation, in Arkansas, ranges from more than 200 feet to less than -4,400 feet; the structural high occurs in the outcrop area and the structural low occurs in southeastern Arkansas near the Desha Basin structural feature. The thickness of the Tokio Formation, in Arkansas, ranges from 0 to over 400 feet. The minimum thickness occurs where the formation pinches out in the outcrop area, and the maximum thickness occurs in the southwestern corner of Arkansas. The clean-sand percentage of the total Tokio Formation thickness ranges from less than 20 percent to more than 60 percent and generally decreases away from the outcrop area. The Tokio Formation contains more than 2.5 million acre-feet of water with a dissolved-solids concentration between 1,000 and 10,000 mg/L, more than 12.5 million acre-feet of water with a dissolved-solids concentration between 10,000 and 35,000 mg/L, and nearly 43.5 million acre-feet of water with a dissolved-solids concentration more than 35,000 mg/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145068","usgsCitation":"Gillip, J.A., 2014, Characterization of the structure, clean-sand percentage, dissolved-solids concentrations, and estimated quantity of groundwater in the Upper Cretaceous Nacatoch Sand and Tokio Formation, Arkansas: U.S. Geological Survey Scientific Investigations Report 2014-5068, iv, 23 p., https://doi.org/10.3133/sir20145068.","productDescription":"iv, 23 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-055552","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":286666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145068.jpg"},{"id":286665,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5068/pdf/sir2014-5068.pdf"},{"id":286659,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5068/"}],"scale":"250000","projection":"Universal Transverse Mercator Projection, Zone 15N","country":"United States","state":"Arkansas","otherGeospatial":"Nacatoch Sand And Tokio Formation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,34.0 ], [ -94.0,36.0 ], [ -90.0,36.0 ], [ -90.0,34.0 ], [ -94.0,34.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535b67b7e4b0519b31c21948","contributors":{"authors":[{"text":"Gillip, Jonathan A. jgillip@usgs.gov","contributorId":3222,"corporation":false,"usgs":true,"family":"Gillip","given":"Jonathan","email":"jgillip@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492749,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70100344,"text":"ofr20141067 - 2014 - Multi-elemental analysis of aqueous geological samples by inductively coupled plasma-optical emission spectrometry","interactions":[],"lastModifiedDate":"2014-04-25T14:21:10","indexId":"ofr20141067","displayToPublicDate":"2014-04-25T14:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1067","title":"Multi-elemental analysis of aqueous geological samples by inductively coupled plasma-optical emission spectrometry","docAbstract":"Typically, 27 major, minor, and trace elements are determined in natural waters, acid mine drainage, extraction fluids, and leachates of geological and environmental samples by inductively coupled plasma-optical emission spectrometry (ICP-OES). At the discretion of the analyst, additional elements may be determined after suitable method modifications and performance data are established. Samples are preserved in 1–2 percent nitric acid (HNO3) at sample collection or as soon as possible after collection. The aqueous samples are aspirated into the ICP-OES discharge, where the elemental emission signals are measured simultaneously for 27 elements. Calibration is performed with a series of matrix-matched, multi-element solution standards.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141067","usgsCitation":"Todorov, T., Wolf, R.E., and Adams, M., 2014, Multi-elemental analysis of aqueous geological samples by inductively coupled plasma-optical emission spectrometry: U.S. Geological Survey Open-File Report 2014-1067, iii, 21 p., https://doi.org/10.3133/ofr20141067.","productDescription":"iii, 21 p.","onlineOnly":"Y","ipdsId":"IP-038299","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":286660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141067.jpg"},{"id":286658,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1067/"},{"id":286661,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1067/pdf/ofr2014-1067.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535b6863e4b0519b31c21cb1","contributors":{"authors":[{"text":"Todorov, Todor I.","contributorId":39621,"corporation":false,"usgs":true,"family":"Todorov","given":"Todor I.","affiliations":[],"preferred":false,"id":492186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":492184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":492185,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70099264,"text":"ofr20141062 - 2014 - Groundwater and surface-water resources in the Bureau of Land Management Moab Master Leasing Plan area and adjacent areas, Grand and San Juan Counties, Utah, and Mesa and Montrose Counties, Colorado","interactions":[],"lastModifiedDate":"2017-04-10T15:21:16","indexId":"ofr20141062","displayToPublicDate":"2014-04-25T13:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1062","title":"Groundwater and surface-water resources in the Bureau of Land Management Moab Master Leasing Plan area and adjacent areas, Grand and San Juan Counties, Utah, and Mesa and Montrose Counties, Colorado","docAbstract":"The Bureau of Land Management (BLM) Canyon Country District Office is preparing a leasing plan known as the Moab Master Leasing Plan (Moab MLP) for oil, gas, and potash mineral rights in an area encompassing 946,469 acres in southeastern Utah. The BLM has identified water resources as being potentially affected by oil, gas, and potash development and has requested that the U.S. Geological Survey prepare a summary of existing water-resources information for the Moab MLP area. This report includes a summary and synthesis of previous and ongoing investigations conducted in the Moab MLP and adjacent areas in Utah and Colorado from the early 1930s through the late 2000s.
Eight principal aquifers and six confining units were identified within the study area. Permeability is a function of both the primary permeability from interstitial pore connectivity and secondary permeability created by karst features or faults and fractures. Vertical hydraulic connection generally is restricted to strongly folded and fractured zones, which are concentrated along steeply dipping monoclines and in narrow regions encompassing igneous and salt intrusive masses. Several studies have identified both an upper and lower aquifer system separated by the Pennsylvanian age Paradox Member of the Hermosa Formation evaporite, which is considered a confining unit and is present throughout large parts of the study area.
Surface-water resources of the study area are dominated by the Colorado River. Several perennial and ephemeral or intermittent tributaries join the Colorado River as it flows from northeast to southwest across the study area. An annual spring snowmelt and runoff event dominates the hydrology of streams draining mountainous parts of the study area, and most perennial streams in the study area are snowmelt-dominated. A bimodal distribution is observed in hydrographs from some sites with a late-spring snowmelt-runoff peak followed by smaller peaks of shorter duration during the late summer. The large regional streams (Colorado, Green, and Dolores Rivers) integrate the regional hydrologic partitioning of a very large contributing area and, therefore, the hydrographs for these streams are much more smooth and consistent. Several streams throughout the study area are considered impaired and do not meet the standards set by the Environmental Protection Agency for specific designated-use classifications.
Limited data are available to quantitatively estimate the large-scale regional groundwater budget for the study area. Previous studies have estimated groundwater budgets for areas in and adjacent to the current study area, namely Moab-Spanish Valley and parts of the Paradox Basin. Most groundwater recharge to the study area originates as infiltration of precipitation from upland areas and is further enhanced in areas covered with sandy soils or in areas where the bedrock is highly fractured. Additional groundwater recharge occurs as seepage from streams and irrigation water, and as subsurface inflow, both vertically between aquifers and as lateral movement into the study area. Groundwater discharge occurs as seepage to streams, evapotranspiration, to springs and seeps, well withdrawals; and as subsurface outflow, both vertically between aquifers and as lateral movement out of the study area across its defined boundaries. Groundwater use in the study area was determined using data from the Utah Division of Water Rights. Most wells in the study area are categorized as having multiple uses.
Mean specific-conductance values for groundwater from wells and springs in the study area range from 101 to 220,000 microsiemens per centimeter at 25° C (μS/cm); most of the wells or springs have mean specific-conductance values of less than or equal to 1,000 μS/cm. Previously reported total dissolved-solids concentrations, specific conductances, and other groundwater-quality data for each of the principal aquifers indicate relative freshwater throughout the study area, except within the lower aquifer system and areas in contact with the Paradox Member of the Hermosa Formation evaporites.
There is limited information on the resource availability of brines and saline groundwater in the study area. Total dissolved-solids concentrations typically are high (greater than 35,000 milligrams per liter) in groundwater from, or in contact with, the Paradox Member of the Hermosa Formation. Total dissolved-solids concentrations also are high in groundwater samples collected from the lower aquifer system. Because the Paradox Member of the Hermosa Formation is considered a barrier to vertical groundwater flow, most of the brine and saline groundwater resources are restricted to the lower aquifer system.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141062","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Masbruch, M.D., and Shope, C.L., 2014, Groundwater and surface-water resources in the Bureau of Land Management Moab Master Leasing Plan area and adjacent areas, Grand and San Juan Counties, Utah, and Mesa and Montrose Counties, Colorado: U.S. Geological Survey Open-File Report 2014-1062, vi, 85 p., https://doi.org/10.3133/ofr20141062.","productDescription":"vi, 85 p.","numberOfPages":"96","ipdsId":"IP-049251","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":286539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141062.jpg"},{"id":286529,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1062/"},{"id":286538,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1062/pdf/ofr2014-1062.pdf"}],"country":"United States","state":"Colorado, Utah","county":"Grand County, Mesa County, Montrose County, San Juan County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.16,37.66 ], [ -110.16,39.5 ], [ -108.5,39.5 ], [ -108.5,37.66 ], [ -110.16,37.66 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535b681ee4b0519b31c21b5a","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shope, Christopher L. cshope@usgs.gov","contributorId":5016,"corporation":false,"usgs":true,"family":"Shope","given":"Christopher","email":"cshope@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491888,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70098475,"text":"tm10C20 - 2014 - Automated determination of the stable carbon isotopic composition (δ13C) of total dissolved inorganic carbon (DIC) and total nonpurgeable dissolved organic carbon (DOC) in aqueous samples: RSIL lab codes 1851 and 1852","interactions":[],"lastModifiedDate":"2014-04-28T12:43:11","indexId":"tm10C20","displayToPublicDate":"2014-04-25T12:20:57","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"10-C20","title":"Automated determination of the stable carbon isotopic composition (δ13C) of total dissolved inorganic carbon (DIC) and total nonpurgeable dissolved organic carbon (DOC) in aqueous samples: RSIL lab codes 1851 and 1852","docAbstract":"The purposes of the Reston Stable Isotope Laboratory (RSIL) lab codes 1851 and 1852 are to determine the total carbon mass and the ratio of the stable isotopes of carbon (δ13C) for total dissolved inorganic carbon (DIC, lab code 1851) and total nonpurgeable dissolved organic carbon (DOC, lab code 1852) in aqueous samples. The analysis procedure is automated according to a method that utilizes a total carbon analyzer as a peripheral sample preparation device for analysis of carbon dioxide (CO2) gas by a continuous-flow isotope ratio mass spectrometer (CF-IRMS). The carbon analyzer produces CO2 and determines the carbon mass in parts per million (ppm) of DIC and DOC in each sample separately, and the CF-IRMS determines the carbon isotope ratio of the produced CO2. This configuration provides a fully automated analysis of total carbon mass and δ13C with no operator intervention, additional sample preparation, or other manual analysis. To determine the DIC, the carbon analyzer transfers a specified sample volume to a heated (70 °C) reaction vessel with a preprogrammed volume of 10% phosphoric acid (H3PO4), which allows the carbonate and bicarbonate species in the sample to dissociate to CO2. The CO2 from the reacted sample is subsequently purged with a flow of helium gas that sweeps the CO2 through an infrared CO2 detector and quantifies the CO2. The CO2 is then carried through a high-temperature (650 °C) scrubber reactor, a series of water traps, and ultimately to the inlet of the mass spectrometer. For the analysis of total dissolved organic carbon, the carbon analyzer performs a second step on the sample in the heated reaction vessel during which a preprogrammed volume of sodium persulfate (Na2S2O8) is added, and the hydroxyl radicals oxidize the organics to CO2. Samples containing 2 ppm to 30,000 ppm of carbon are analyzed. The precision of the carbon isotope analysis is within 0.3 per mill for DIC, and within 0.5 per mill for DOC.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Stable Isotope-Ratio Methods in Book 10 Methods of the Reston Stable Isotope Laboratory","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm10C20","collaboration":"This report is Chapter 20 of Section C: Stable Isotope-Ratio Methods in Book 10 Methods of the Reston Stable Isotope Laboratory","usgsCitation":"Revesz, K.M., and Doctor, D.H., 2014, Automated determination of the stable carbon isotopic composition (δ13C) of total dissolved inorganic carbon (DIC) and total nonpurgeable dissolved organic carbon (DOC) in aqueous samples: RSIL lab codes 1851 and 1852: U.S. Geological Survey Techniques and Methods 10-C20, viii, 38 p., https://doi.org/10.3133/tm10C20.","productDescription":"viii, 38 p.","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-037649","costCenters":[{"id":543,"text":"Reston Stable Isotope Laboratory","active":false,"usgs":true}],"links":[{"id":286721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm10C20.jpg"},{"id":286719,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/10/C20/"},{"id":286720,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/10/C20/pdf/tm10-c20.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f7865e4b078dca33ae34a","contributors":{"authors":[{"text":"Revesz, Kinga M.","contributorId":18258,"corporation":false,"usgs":true,"family":"Revesz","given":"Kinga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":491727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175415,"text":"70175415 - 2014 - Shear velocity criterion for incipient motion of sediment","interactions":[],"lastModifiedDate":"2016-08-10T09:43:59","indexId":"70175415","displayToPublicDate":"2014-04-25T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5167,"text":"Water Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Shear velocity criterion for incipient motion of sediment","docAbstract":"The prediction of incipient motion has had great importance to the theory of sediment transport. The most commonly used methods are based on the concept of critical shear stress and employ an approach similar, or identical, to the Shields diagram. An alternative method that uses the movability number, defined as the ratio of the shear velocity to the particle’s settling velocity, was employed in this study. A large amount of experimental data were used to develop an empirical incipient motion criterion based on the movability number. It is shown that this approach can provide a simple and accurate method of computing the threshold condition for sediment motion.
","language":"English","publisher":"Hohai University, Nanjing","publisherLocation":"Nanjing, China","doi":"10.3882/j.issn.1674-2370.2014.02.006","usgsCitation":"Simoes, F.J., 2014, Shear velocity criterion for incipient motion of sediment: Water Science and Engineering, v. 7, no. 2, p. 183-193, https://doi.org/10.3882/j.issn.1674-2370.2014.02.006.","startPage":"183","endPage":"193","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012888","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":326336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ac50e3e4b0d1835674b2cd","contributors":{"authors":[{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":645117,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70058576,"text":"sir20135144 - 2014 - Water quality and sources of fecal coliform bacteria in the Meduxnekeag River, Houlton, Maine","interactions":[],"lastModifiedDate":"2019-09-24T09:39:06","indexId":"sir20135144","displayToPublicDate":"2014-04-25T10:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5144","title":"Water quality and sources of fecal coliform bacteria in the Meduxnekeag River, Houlton, Maine","docAbstract":"In response to bacterial contamination in the Meduxnekeag River and the desire to manage the watershed to reduce contaminant sources, the Houlton Band of Maliseet Indians (HBMI) and the U.S. Geological Survey began a cooperative effort to establish a baseline of water-quality data that can be used in future studies and to indicate potential sources of nutrient and bacterial contamination. This study was conducted during the summer of 2005 in the Meduxnekeag River Basin near Houlton, Maine. Continuously recorded specific conductance can be a good indicator for water quality. Specific conductance increased downstream from the town of Houlton, between runoff events, and decreased sharply following major runoff events. Collections of discrete samples during the summer of 2005 indicated seasonal positive concentration-discharge relations for total phosphorus and total nitrogen; these results indicate that storm runoff may mobilize and transport these nutrients from the terrestrial environment to the river. Data collected by the HBMI on fecal coliform bacteria indicated that bacterial contamination enters the Meduxnekeag River from multiple paths including tributaries and surface drains (ditches) in developed areas in Houlton, Maine. The Houlton wastewater treatment discharge was not an important source of bacterial contamination.
\nBacteroidales-based tests for general fecal contamination (Bac32 marker) were predominantly positive in samples that had excessive fecal contamination as indicated by Enterococci density greater than 104 colony-forming units per 100 millilters. Of the 22 samples tested for Bacteroidales-based markers of human-associated fecal contamination (HF134 and HF183), 8 were positive. Of the 22 samples tested for Bacteroidales-based markers of ruminant-associated fecal contamination (CF128 and CF193), 7 were positive. Human fecal contamination was detected consistently at two sites (surface drains in urban areas in the town of Houlton) and occasionally detected at one site (Moose Brook) but was not detected at other sites. Fecal contamination (as indicated by fecal coliform density) apparently is localized under normal flow conditions with the highest levels restricted to drains in urban areas and to a lesser extent B Stream, Pearce Brook, and Big Brook, all tributaries to the main stem of the Meduxnekeag River. Coliphage were enumerated as an alternate indicator of fecal contamination with the intent of typing the virus into host-associated classes (human or ruminant), as was done for Enterococci; however, insufficient coliphage were isolated to provide more than preliminary indications. In spite of low coliphage enumeration, the preliminary results strengthen the conclusion that the Enterococci data correctly indicated the samples that contained human and ruminant fecal contamination. The finding that contamination was in many of the tributaries following storms in mid-July indicates that storm runoff likely carries fecal contaminants to more locations than runoff under lower flow conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135144","collaboration":"Prepared in cooperation with the Houlton Band of Maliseet Indians","usgsCitation":"Culbertson, C.W., Huntington, T.G., Stoeckel, D.M., Caldwell, J.M., and O’Donnell, C., 2014, Water quality and sources of fecal coliform bacteria in the Meduxnekeag River, Houlton, Maine: U.S. Geological Survey Scientific Investigations Report 2013-5144, viii, 31 p., https://doi.org/10.3133/sir20135144.","productDescription":"viii, 31 p.","numberOfPages":"39","onlineOnly":"Y","ipdsId":"IP-004144","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":286635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135144.jpg"},{"id":286629,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5144/pdf/sir2013-5144.pdf"},{"id":286640,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5144/"}],"scale":"24000","projection":"Universal Transverse Mercator projection Zone 19","country":"United States","state":"Maine","city":"Houlton","otherGeospatial":"Meduxnekeag River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.875,46.125 ], [ -67.875,46.208333 ], [ -67.791667,46.208333 ], [ -67.791667,46.125 ], [ -67.875,46.125 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535b692ae4b0519b31c2208d","contributors":{"authors":[{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":117440,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoeckel, Donald M.","contributorId":78384,"corporation":false,"usgs":true,"family":"Stoeckel","given":"Donald","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, James M. 0000-0001-5880-443X jmcald@usgs.gov","orcid":"https://orcid.org/0000-0001-5880-443X","contributorId":1882,"corporation":false,"usgs":true,"family":"Caldwell","given":"James","email":"jmcald@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Donnell, Cara","contributorId":79800,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Cara","email":"","affiliations":[],"preferred":false,"id":487183,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}