{"pageNumber":"433","pageRowStart":"10800","pageSize":"25","recordCount":68880,"records":[{"id":70178047,"text":"70178047 - 2016 - Multispecies cccupancy modeling as a tool for evaluating the status and distribution of Darters in the Elk River, Tennessee","interactions":[],"lastModifiedDate":"2016-11-01T12:38:58","indexId":"70178047","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Multispecies cccupancy modeling as a tool for evaluating the status and distribution of Darters in the Elk River, Tennessee","docAbstract":"<p><span>Sixteen darter species, including the federally endangered Boulder Darter </span><i>Etheostoma wapiti</i><span>, are known to occur in the Elk River, a large, flow-regulated tributary of the Tennessee River, Tennessee–Alabama. Since the construction of Tims Ford Dam (TFD) in 1970, habitat modification caused by cold, hypolimnetic water releases and peak-demand hydropower generation has contributed to population declines and range reductions for numerous aquatic species in the main-stem Elk River. We developed Bayesian hierarchical multispecies occupancy models to determine the influence of site- and species-level characteristics on darter occurrence by using presence–absence data for 15 species collected from 39 study sites. Modeling results indicated that large-river obligate species, such as the Boulder Darter, were 6.92 times more likely to occur for every 37-km increase in the distance downstream from TFD. In contrast, small-stream species were 2.35 times less likely and cosmopolitan species were 1.88 times less likely to occur for every 37-km increase in distance downstream from TFD. The probability of occurrence for darter species also had a strong negative relationship with the absence of cobble and boulder substrates and the presence of high silt levels, particularly for species that require boulder substrates during spawning. Although total darter species richness was similar across all 39 sample sites, the composition of darter assemblages varied substantially among locations, presumably due in part to species-specific habitat affinities and hydrothermal conditions. The use of multispecies occupancy models allowed us to account for the incomplete detection of species while estimating the influence of physical habitat characteristics and species traits on darter occurrences, including rarely observed species that would have been difficult to model individually.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1201002","usgsCitation":"Potoka, K.M., Shea, C.P., and Bettoli, P.W., 2016, Multispecies cccupancy modeling as a tool for evaluating the status and distribution of Darters in the Elk River, Tennessee: Transactions of the American Fisheries Society, v. 145, no. 5, p. 1110-1121, https://doi.org/10.1080/00028487.2016.1201002.","productDescription":"12 p.","startPage":"1110","endPage":"1121","ipdsId":"IP-066109","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Elk River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.05429077148438,\n              34.99287873327227\n            ],\n            [\n              -87.05429077148438,\n              35.31736632923788\n            ],\n            [\n              -86.14517211914061,\n              35.31736632923788\n            ],\n            [\n              -86.14517211914061,\n              34.99287873327227\n            ],\n            [\n              -87.05429077148438,\n              34.99287873327227\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"145","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"5819a9c3e4b0bb36a4c9101d","chorus":{"doi":"10.1080/00028487.2016.1201002","url":"http://dx.doi.org/10.1080/00028487.2016.1201002","publisher":"Informa UK Limited","authors":"Potoka Kathryn M., Shea Colin P., Bettoli Phillip W.","journalName":"Transactions of the American Fisheries Society","publicationDate":"8/12/2016"},"contributors":{"authors":[{"text":"Potoka, Kathryn M.","contributorId":176506,"corporation":false,"usgs":false,"family":"Potoka","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, Colin P.","contributorId":140147,"corporation":false,"usgs":false,"family":"Shea","given":"Colin","email":"","middleInitial":"P.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":652604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652592,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175381,"text":"70175381 - 2016 - Volcanic geology, hydrogeology, and geothermal potential of the eastern Snake River Plain","interactions":[],"lastModifiedDate":"2016-08-09T09:09:41","indexId":"70175381","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5166,"text":"Northwest Geology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic geology, hydrogeology, and geothermal potential of the eastern Snake River Plain","docAbstract":"<p>No abstract available.</p>","largerWorkTitle":"Geology of the eastern Snake River Plain and surrounding highlands","language":"English","publisher":"Tobacco Root Geological Society","usgsCitation":"McCurry, M., Bartholomay, R.C., Hodges, M., and Podgorney, R., 2016, Volcanic geology, hydrogeology, and geothermal potential of the eastern Snake River Plain: Northwest Geology, v. 45, p. 125-154.","productDescription":"30 p.","startPage":"125","endPage":"154","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075045","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":326288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57aaffb8e4b05e859be0fb1d","contributors":{"authors":[{"text":"McCurry, Michael","contributorId":173529,"corporation":false,"usgs":false,"family":"McCurry","given":"Michael","email":"","affiliations":[{"id":26917,"text":"Idaho State University, Pocatello, ID","active":true,"usgs":false}],"preferred":false,"id":644998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Mary K. V. 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":3023,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K. V.","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":644997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Podgorney, Robert","contributorId":173530,"corporation":false,"usgs":false,"family":"Podgorney","given":"Robert","email":"","affiliations":[{"id":27243,"text":"Idaho National Laboratory","active":true,"usgs":false}],"preferred":false,"id":644999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178060,"text":"70178060 - 2016 - Advancing environmental flow science: Developing frameworks for altered landscapes and integrating efforts across disciplines.","interactions":[],"lastModifiedDate":"2016-11-01T16:14:47","indexId":"70178060","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Advancing environmental flow science: Developing frameworks for altered landscapes and integrating efforts across disciplines.","docAbstract":"<div class=\"abstr\"><div class=\"\"><p><span>Environmental flows represent a legal mechanism to balance existing and future water uses and sustain non-use values. Here, we identify current challenges, provide examples where they are important, and suggest research advances that would benefit environmental flow science. Specifically, environmental flow science would benefit by (1) developing approaches to address streamflow needs in highly modified landscapes where historic flows do not provide reasonable comparisons, (2) integrating water quality needs where interactions are apparent with quantity but not necessarily the proximate factor of the ecological degradation, especially as frequency and magnitudes of inflows to bays and estuaries, (3) providing a better understanding of the ecological needs of native species to offset the often unintended consequences of benefiting non-native species or their impact on flows, (4) improving our understanding of the non-use economic value to balance consumptive economic values, and (5) increasing our understanding of the stakeholder socioeconomic spatial distribution of attitudes and perceptions across the landscape. Environmental flow science is still an emerging interdisciplinary field and by integrating socioeconomic disciplines and developing new frameworks to accommodate our altered landscapes, we should help advance environmental flow science and likely increase successful implementation of flow standards.</span></p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1007/s00267-016-0703-5","usgsCitation":"Brewer, S.K., McManamay, R.A., Miller, A.D., Mollenhauer, R., Worthington, T.A., and Arsuffi, T., 2016, Advancing environmental flow science: Developing frameworks for altered landscapes and integrating efforts across disciplines.: Environmental Management, v. 58, no. 2, p. 175-192, https://doi.org/10.1007/s00267-016-0703-5.","productDescription":"18 p.","startPage":"175","endPage":"192","ipdsId":"IP-064926","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470696,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1261386","text":"External Repository"},{"id":330645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-13","publicationStatus":"PW","scienceBaseUri":"5819a9c3e4b0bb36a4c9101b","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":652680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McManamay, Ryan A.","contributorId":176519,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Andrew D.","contributorId":176539,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":652708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mollenhauer, Robert","contributorId":176540,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[],"preferred":false,"id":652709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":652710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arsuffi, Tom","contributorId":176541,"corporation":false,"usgs":false,"family":"Arsuffi","given":"Tom","email":"","affiliations":[],"preferred":false,"id":652711,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179095,"text":"70179095 - 2016 - The Mississippi River: A place for fish","interactions":[],"lastModifiedDate":"2016-12-19T15:59:27","indexId":"70179095","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The Mississippi River: A place for fish","docAbstract":"The Mississippi River flows 3,734 km from its source at Lake Itasca, Minnesota to its outlet at the Gulf of Mexico. Along its course, it collects water from portions of two Canadian provinces and 41 % of the conterminous United States. Although greatly altered for navigation and flood control throughout much of its length, the Mississippi River remains an important fishery resource that provides habitat for 188 species of fishes and recreational and commercial fishing opportunities. The objectives of this chapter are to describe the contemporary fisheries habitat throughout the Mississippi River, identify how management to achieve human benefits influences the fishes and their habitats, and summarize efforts to conserve and enhance fish habitat. The 826-km headwater reach is entirely in Minnesota and remains largely unaltered. The reaches that extend 1,059 km from St. Anthony Falls, Minnesota to above the confluence with the Missouri River near St. Louis, Missouri have been altered by impoundment that has affected floodplain function, increased sedimentation of backwaters, and homogenized the formerly diverse aquatic habitats. After the confluence with the Missouri River, the Mississippi River flows freely for 1,849 km to the Gulf of Mexico. The alterations of the free-flowing reaches of greatest significance to the fisheries resource are reducing the duration and height of the flood pulse as a consequence of shortening the river channel, disconnection of the river from its historic and present floodplain, and loss of secondary channel-island complexes. Engineering features to improve commercial navigation have also added habitat and, when wisely manipulated, can be used to rehabilitate habitat. Some aspects of water quality have improved, but legacy chemicals and nutrient-laden inflows and sediments remain problems. Although true restoration in the sense of restoring all environmental conditions to an unaltered state is unlikely, the future value of the Mississippi River as a fisheries resource will depend on actively maintaining diverse and accessible aquatic habitats to support food webs and water quality suitable for fishes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fishery Resources, Environment, and Conservation in the Mississippi and Yangtze (Changjiang) River Basins","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","isbn":"978-1-934874-44-8","usgsCitation":"Schramm, H., and Ickes, B., 2016, The Mississippi River: A place for fish, chap. <i>of</i> Fishery Resources, Environment, and Conservation in the Mississippi and Yangtze (Changjiang) River Basins, p. 3-34.","productDescription":"32 p.","startPage":"3","endPage":"34","ipdsId":"IP-057711","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332192,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54084p/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58590009e4b03639a6025e2b","contributors":{"editors":[{"text":"Chen, Yushun","contributorId":146569,"corporation":false,"usgs":false,"family":"Chen","given":"Yushun","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":656212,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":656213,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Jackson, John","contributorId":177556,"corporation":false,"usgs":false,"family":"Jackson","given":"John","affiliations":[],"preferred":false,"id":656214,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Chen, Daqing","contributorId":173395,"corporation":false,"usgs":false,"family":"Chen","given":"Daqing","email":"","affiliations":[{"id":27222,"text":"Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":656215,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Li, Zhongjie","contributorId":177557,"corporation":false,"usgs":false,"family":"Li","given":"Zhongjie","email":"","affiliations":[],"preferred":false,"id":656216,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Kilgore, Jack","contributorId":177558,"corporation":false,"usgs":false,"family":"Kilgore","given":"Jack","email":"","affiliations":[],"preferred":false,"id":656217,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Phelps, Quinton E.","contributorId":173401,"corporation":false,"usgs":false,"family":"Phelps","given":"Quinton","email":"","middleInitial":"E.","affiliations":[{"id":27224,"text":"Big Rivers and Wetlands Field Station, Missouri Department of Conservation, Jackson, MO","active":true,"usgs":false}],"preferred":false,"id":656218,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Eggleton, Michael","contributorId":177559,"corporation":false,"usgs":false,"family":"Eggleton","given":"Michael","affiliations":[],"preferred":false,"id":656219,"contributorType":{"id":2,"text":"Editors"},"rank":8}],"authors":[{"text":"Schramm, Harold hschramm@usgs.gov","contributorId":149157,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":656031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ickes, Brian 0000-0001-5622-3842 bickes@usgs.gov","orcid":"https://orcid.org/0000-0001-5622-3842","contributorId":2925,"corporation":false,"usgs":true,"family":"Ickes","given":"Brian","email":"bickes@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":656030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175623,"text":"70175623 - 2016 - Noncontact methods for measuring water-surface elevations and velocities in rivers: Implications for depth and discharge extraction","interactions":[],"lastModifiedDate":"2016-08-31T11:51:47","indexId":"70175623","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Noncontact methods for measuring water-surface elevations and velocities in rivers: Implications for depth and discharge extraction","docAbstract":"Recently developed optical and videographic methods for measuring water-surface properties in a noninvasive manner hold great promise for extracting river hydraulic and bathymetric information. This paper describes such a technique, concentrating on the method of infrared videog-\r\nraphy for measuring surface velocities and both acoustic (laboratory-based) and laser-scanning (field-based) techniques for measuring water-surface elevations. In ideal laboratory situations with simple flows, appropriate spatial and temporal averaging results in accurate water-surface elevations and water-surface velocities. In test cases, this accuracy is sufficient to allow direct inversion of the governing equations of motion to produce estimates of depth and discharge. Unlike other optical techniques for determining local depth that rely on transmissivity of the water column (bathymetric lidar, multi/hyperspectral correlation), this method uses only water-surface information, so even deep and/or turbid flows can be investigated.  However, significant errors arise in areas of nonhydrostatic spatial accelerations, such as those associated with flow over bedforms or other relatively steep obstacles. Using laboratory measurements for test cases, the cause of these errors is examined and both a simple semi-empirical method and computational results are presented that can potentially reduce bathymetric inversion errors.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"RiverFlow 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"CRC Press","isbn":"9781138029132","usgsCitation":"Nelson, J.M., Kinzel, P.J., McDonald, R.R., and Schmeeckle, M., 2016, Noncontact methods for measuring water-surface elevations and velocities in rivers: Implications for depth and discharge extraction, <i>in</i> RiverFlow 2016, p. 637-645.","productDescription":"9 p.","startPage":"637","endPage":"645","ipdsId":"IP-073740","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffbce4b0f2f0cebfc313","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":645857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":645858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":645859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmeeckle, Mark mschmeeckle@usgs.gov","contributorId":173789,"corporation":false,"usgs":true,"family":"Schmeeckle","given":"Mark","email":"mschmeeckle@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":645860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195837,"text":"70195837 - 2016 - Insights into plant water uptake from xylem-water isotope measurements in two tropical catchments with contrasting moisture conditions","interactions":[],"lastModifiedDate":"2018-03-06T11:36:31","indexId":"70195837","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Insights into plant water uptake from xylem-water isotope measurements in two tropical catchments with contrasting moisture conditions","docAbstract":"<p><span>Water transpired by trees has long been assumed to be sourced from the same subsurface water stocks that contribute to groundwater recharge and streamflow. However, recent investigations using dual water stable isotopes have shown an apparent ecohydrological separation between tree-transpired water and stream water. Here we present evidence for such ecohydrological separation in two tropical environments in Puerto Rico where precipitation seasonality is relatively low and where precipitation is positively correlated with primary productivity. We determined the stable isotope signature of xylem water of 30 mahogany (</span><i>Swietenia</i><span><span>&nbsp;</span>spp.) trees sampled during two periods with contrasting moisture status. Our results suggest that the separation between transpiration water and groundwater recharge/streamflow water might be related less to the temporal phasing of hydrologic inputs and primary productivity, and more to the fundamental processes that drive evaporative isotopic enrichment of residual soil water within the soil matrix. The lack of an evaporative signature of both groundwater and streams in the study area suggests that these water balance components have a water source that is transported quickly to deeper subsurface storage compared to waters that trees use. A Bayesian mixing model used to partition source water proportions of xylem water showed that groundwater contribution was greater for valley-bottom, riparian trees than for ridge-top trees. Groundwater contribution was also greater at the xeric site than at the mesic–hydric site. These model results (1) underline the utility of a simple linear mixing model, implemented in a Bayesian inference framework, in quantifying source water contributions at sites with contrasting physiographic characteristics, and (2) highlight the informed judgement that should be made in interpreting mixing model results, of import particularly in surveying groundwater use patterns by vegetation from regional to global scales.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10841","usgsCitation":"Evaristo, J., McDonnell, J.J., Scholl, M.A., Bruijnzeel, L., and Chun, K.P., 2016, Insights into plant water uptake from xylem-water isotope measurements in two tropical catchments with contrasting moisture conditions: Hydrological Processes, v. 30, no. 18, p. 3210-3227, https://doi.org/10.1002/hyp.10841.","productDescription":"18 p.","startPage":"3210","endPage":"3227","ipdsId":"IP-069760","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-27","publicationStatus":"PW","scienceBaseUri":"5afee9ade4b0da30c1bfc57c","contributors":{"authors":[{"text":"Evaristo, Jaivime","contributorId":202933,"corporation":false,"usgs":false,"family":"Evaristo","given":"Jaivime","email":"","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":730230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Jeffrey J.","contributorId":202934,"corporation":false,"usgs":false,"family":"McDonnell","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":36551,"text":"University of Saskatchewan, Canada, and University of Aberdeen, Scotland","active":true,"usgs":false}],"preferred":false,"id":730231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":730229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruijnzeel, L. Adrian","contributorId":202935,"corporation":false,"usgs":false,"family":"Bruijnzeel","given":"L. Adrian","affiliations":[{"id":36552,"text":"King's College London","active":true,"usgs":false}],"preferred":false,"id":730232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chun, Kwok P.","contributorId":202936,"corporation":false,"usgs":false,"family":"Chun","given":"Kwok","email":"","middleInitial":"P.","affiliations":[{"id":36553,"text":"Hong Kong Baptist University","active":true,"usgs":false}],"preferred":false,"id":730233,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192565,"text":"70192565 - 2016 - The road to NHDPlus — Advancements in digital stream networks and associated catchments","interactions":[],"lastModifiedDate":"2017-11-17T11:34:42","indexId":"70192565","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The road to NHDPlus — Advancements in digital stream networks and associated catchments","docAbstract":"<p><span>A progression of advancements in Geographic Information Systems techniques for hydrologic network and associated catchment delineation has led to the production of the National Hydrography Dataset Plus (NHDPlus). NHDPlus is a digital stream network for hydrologic modeling with catchments and a suite of related geospatial data. Digital stream networks with associated catchments provide a geospatial framework for linking and integrating water-related data. Advancements in the development of NHDPlus are expected to continue to improve the capabilities of this national geospatial hydrologic framework. NHDPlus is built upon the medium-resolution NHD and, like NHD, was developed by the U.S. Environmental Protection Agency and U.S. Geological Survey to support the estimation of streamflow and stream velocity used in fate-and-transport modeling. Catchments included with NHDPlus were created by integrating vector information from the NHD and from the Watershed Boundary Dataset with the gridded land surface elevation as represented by the National Elevation Dataset. NHDPlus is an actively used and continually improved dataset. Users recognize the importance of a reliable stream network and associated catchments. The NHDPlus spatial features and associated data tables will continue to be improved to support regional water quality and streamflow models and other user-defined applications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12389","usgsCitation":"Moore, R.B., and Dewald, T.A., 2016, The road to NHDPlus — Advancements in digital stream networks and associated catchments: Journal of the American Water Resources Association, v. 52, no. 4, p. 890-900, https://doi.org/10.1111/1752-1688.12389.","productDescription":"11 p.","startPage":"890","endPage":"900","ipdsId":"IP-067213","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":482073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12389","text":"Publisher Index Page"},{"id":349062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-11","publicationStatus":"PW","scienceBaseUri":"5a60fd04e4b06e28e9c24672","contributors":{"authors":[{"text":"Moore, Richard B. rmoore@usgs.gov","contributorId":1464,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dewald, Thomas A.","contributorId":198480,"corporation":false,"usgs":false,"family":"Dewald","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195836,"text":"70195836 - 2016 - Urban base flow with low impact development","interactions":[],"lastModifiedDate":"2018-03-06T11:39:52","indexId":"70195836","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Urban base flow with low impact development","docAbstract":"<p><span>A novel form of urbanization, low impact development (LID), aims to engineer systems that replicate natural hydrologic functioning, in part by infiltrating stormwater close to the impervious surfaces that generate it. We sought to statistically evaluate changes in a base flow regime because of urbanization with LID, specifically changes in base flow magnitude, seasonality, and rate of change. We used a case study watershed in Clarksburg, Maryland, in which streamflow was monitored during whole-watershed urbanization from forest and agricultural to suburban residential development using LID. The 1.11-km</span><sup>2</sup><span><span>&nbsp;</span>watershed contains 73 infiltration-focused stormwater facilities, including bioretention facilities, dry wells, and dry swales. We examined annual and monthly flow during and after urbanization (2004–2014) and compared alterations to nearby forested and urban control watersheds. We show that total streamflow and base flow increased in the LID watershed during urbanization as compared with control watersheds. The LID watershed had more gradual storm recessions after urbanization and attenuated seasonality in base flow. These flow regime changes may be because of a reduction in evapotranspiration because of the overall decrease in vegetative cover with urbanization and the increase in point sources of recharge. Precipitation that may once have infiltrated soil, been stored in soil moisture to be eventually transpired in a forested landscape, may now be recharged and become base flow. The transfer of evapotranspiration to base flow is an unintended consequence to the water balance of LID.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10808","usgsCitation":"Bhaskar, A., Hogan, D.M., and Archfield, S.A., 2016, Urban base flow with low impact development: Hydrological Processes, v. 30, no. 18, p. 3156-3171, https://doi.org/10.1002/hyp.10808.","productDescription":"16 p.","startPage":"3156","endPage":"3171","ipdsId":"IP-069104","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.10808","text":"Publisher Index Page"},{"id":352262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-26","publicationStatus":"PW","scienceBaseUri":"5afee9ade4b0da30c1bfc57e","contributors":{"authors":[{"text":"Bhaskar, Aditi abhaskar@usgs.gov","contributorId":146249,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi","email":"abhaskar@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":730226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":730227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":730228,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185053,"text":"70185053 - 2016 - Does resolution of flow field observation influence apparent habitat use and energy expenditure in juvenile coho salmon?","interactions":[],"lastModifiedDate":"2017-11-22T17:20:36","indexId":"70185053","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Does resolution of flow field observation influence apparent habitat use and energy expenditure in juvenile coho salmon?","docAbstract":"<p><span>This study investigated how the resolution of observation influences interpretation of how fish, juvenile Coho Salmon (</span><i>Oncorhynchus kisutch</i><span>), exploit the hydraulic environment in streams. Our objectives were to evaluate how spatial resolution of the flow field observation influenced: (1) the velocities considered to be representative of habitat units; (2) patterns of use of the hydraulic environment by fish; and (3) estimates of energy expenditure. We addressed these objectives using observations within a 1:1 scale physical model of a full-channel log jam in an outdoor experimental stream. Velocities were measured with Acoustic Doppler Velocimetry at a 10 cm grid spacing, whereas fish locations and tailbeat frequencies were documented over time using underwater videogrammetry. Results highlighted that resolution of observation did impact perceived habitat use and energy expenditure, as did the location of measurement within habitat units and the use of averaging to summarize velocities within a habitat unit. In this experiment, the range of velocities and energy expenditure estimates increased with coarsening resolution (grid spacing from 10 to 100 cm), reducing the likelihood of measuring the velocities locally experienced by fish. In addition, the coarser resolutions contributed to fish appearing to select velocities that were higher than what was measured at finer resolutions. These findings indicate the need for careful attention to and communication of resolution of observation in investigating the hydraulic environment and in determining the habitat needs and bioenergetics of aquatic biota.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR018501","usgsCitation":"Tullos, D.D., Walter, C., and Dunham, J.B., 2016, Does resolution of flow field observation influence apparent habitat use and energy expenditure in juvenile coho salmon?: Water Resources Research, v. 52, no. 8, p. 5938-5950, https://doi.org/10.1002/2015WR018501.","productDescription":"13 p.","startPage":"5938","endPage":"5950","ipdsId":"IP-075959","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":337462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea4","contributors":{"authors":[{"text":"Tullos, Desiree D.","contributorId":176667,"corporation":false,"usgs":false,"family":"Tullos","given":"Desiree","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter, Cara","contributorId":189188,"corporation":false,"usgs":false,"family":"Walter","given":"Cara","email":"","affiliations":[],"preferred":false,"id":684083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":684081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184982,"text":"70184982 - 2016 - Amplification of postwildfire peak flow by debris","interactions":[],"lastModifiedDate":"2017-03-13T13:59:44","indexId":"70184982","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Amplification of postwildfire peak flow by debris","docAbstract":"<p><span>In burned steeplands, the peak depth and discharge of postwildfire runoff can substantially increase from the addition of debris. Yet methods to estimate the increase over water flow are lacking. We quantified the potential amplification of peak stage and discharge using video observations of postwildfire runoff, compiled data on postwildfire peak flow (</span><i>Q<sub>p</sub></i><span>), and a physically based model. Comparison of flood and debris flow data with similar distributions in drainage area (</span><i>A</i><span>) and rainfall intensity (</span><i>I</i><span>) showed that the median runoff coefficient (</span><i>C</i><span> = </span><i>Q<sub>p</sub></i><span>/</span><i>AI</i><span>) of debris flows is 50 times greater than that of floods. The striking increase in </span><i>Q<sub>p</sub></i><span> can be explained using a fully predictive model that describes the additional flow resistance caused by the emergence of coarse-grained surge fronts. The model provides estimates of the amplification of peak depth, discharge, and shear stress needed for assessing postwildfire hazards and constraining models of bedrock incision.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GL069661","usgsCitation":"Kean, J.W., McGuire, L., Rengers, F.K., Smith, J.B., and Staley, D.M., 2016, Amplification of postwildfire peak flow by debris: Geophysical Research Letters, v. 43, no. 16, p. 8545-8553, https://doi.org/10.1002/2016GL069661.","productDescription":"9 p.","startPage":"8545","endPage":"8553","ipdsId":"IP-078640","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl069661","text":"Publisher Index Page"},{"id":337445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"16","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"58c7afa4e4b0849ce9795eb4","contributors":{"authors":[{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":683818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":683821,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182200,"text":"70182200 - 2016 - Novel cell-based assay for detection of thyroid receptor beta-interacting environmental contaminants","interactions":[],"lastModifiedDate":"2018-08-07T12:09:06","indexId":"70182200","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3610,"text":"Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Novel cell-based assay for detection of thyroid receptor beta-interacting environmental contaminants","docAbstract":"<p><span>Even though the presence of endocrine disrupting chemicals (EDCs) with thyroid hormone (TH)-like activities in the environment is a major health concern, the methods for their efficient detection and monitoring are still limited. Here we describe a novel cell assay, based on the translocation of a green fluorescent protein (GFP)—tagged chimeric molecule of glucocorticoid receptor (GR) and the thyroid receptor beta (TRβ) from the cytoplasm to the nucleus in the presence of TR ligands. Unlike the constitutively nuclear TRβ, this GFP-GR-TRβ chimera is cytoplasmic in the absence of hormone while translocating to the nucleus in a time- and concentration-dependent manner upon stimulation with triiodothyronine (T3) and thyroid hormone analogue, TRIAC, while the reverse triiodothyronine (3,3′,5′-triiodothyronine, or rT3) was inactive. Moreover, GFP-GR-TRβ chimera does not show any cross-reactivity with the GR-activating hormones, thus providing a clean system for the screening of TR beta-interacting EDCs. Using this assay, we demonstrated that Bisphenol A (BPA) and 3,3′,5,5′-Tetrabromobisphenol (TBBPA) induced GFP-GR-TRβ translocation at micro molar concentrations. We screened over 100 concentrated water samples from different geographic locations in the United States and detected a low, but reproducible contamination in 53% of the samples. This system provides a novel high-throughput approach for screening for endocrine disrupting chemicals (EDCs) interacting with TR beta.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tox.2016.08.012","usgsCitation":"Stavreva, D., Varticovski, L., Levkova, L., George, A.A., Davis, L., Pegoraro, G., Blazer, V., Iwanowicz, L., and Hager, G., 2016, Novel cell-based assay for detection of thyroid receptor beta-interacting environmental contaminants: Toxicology, v. 368-369, p. 69-79, https://doi.org/10.1016/j.tox.2016.08.012.","productDescription":"11 p.","startPage":"69","endPage":"79","ipdsId":"IP-067692","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470708,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1016/j.tox.2016.08.012","text":"External Repository"},{"id":335866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368-369","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ad5fc1e4b01ccd54f8b51f","contributors":{"authors":[{"text":"Stavreva, Diana A.","contributorId":69039,"corporation":false,"usgs":true,"family":"Stavreva","given":"Diana A.","affiliations":[],"preferred":false,"id":669956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varticovski, Lyuba","contributorId":71857,"corporation":false,"usgs":true,"family":"Varticovski","given":"Lyuba","email":"","affiliations":[],"preferred":false,"id":669957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levkova, Ludmila","contributorId":181906,"corporation":false,"usgs":false,"family":"Levkova","given":"Ludmila","email":"","affiliations":[],"preferred":false,"id":669958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Anuja A.","contributorId":84651,"corporation":false,"usgs":true,"family":"George","given":"Anuja","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":669959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Luke","contributorId":181908,"corporation":false,"usgs":false,"family":"Davis","given":"Luke","email":"","affiliations":[],"preferred":false,"id":669960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pegoraro, Gianluca","contributorId":181909,"corporation":false,"usgs":false,"family":"Pegoraro","given":"Gianluca","email":"","affiliations":[],"preferred":false,"id":669961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":669962,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iwanowicz, Luke R.  0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":669955,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hager, Gordon L.","contributorId":66574,"corporation":false,"usgs":true,"family":"Hager","given":"Gordon L.","affiliations":[],"preferred":false,"id":669963,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70185063,"text":"70185063 - 2016 - Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing","interactions":[],"lastModifiedDate":"2018-06-19T19:48:56","indexId":"70185063","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing","docAbstract":"<p><span>Climate change coupled with an intensifying wildfire regime is becoming an important driver of permafrost loss and ecosystem change in the northern boreal forest. There is a growing need to understand the effects of fire on the spatial distribution of permafrost and its associated ecological consequences. We focus on the effects of fire a decade after disturbance in a rocky upland landscape in the interior Alaskan boreal forest. Our main objectives were to (1) map near-surface permafrost distribution and drainage classes and (2) analyze the controls over landscape-scale patterns of post-fire permafrost degradation. Relationships among remote sensing variables and field-based data on soil properties (temperature, moisture, organic layer thickness) and vegetation (plant community composition) were analyzed using correlation, regression, and ordination analyses. The remote sensing data we considered included spectral indices from optical datasets (Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI)), the principal components of a time series of radar backscatter (Advanced Land Observing Satellite—Phased Array type L-band Synthetic Aperture Radar (ALOS-PALSAR)), and topographic variables from a Light Detection and Ranging (LiDAR)-derived digital elevation model (DEM). We found strong empirical relationships between the normalized difference infrared index (NDII) and post-fire vegetation, soil moisture, and soil temperature, enabling us to indirectly map permafrost status and drainage class using regression-based models. The thickness of the insulating surface organic layer after fire, a measure of burn severity, was an important control over the extent of permafrost degradation. According to our classifications, 90% of the area considered to have experienced high severity burn (using the difference normalized burn ratio (dNBR)) lacked permafrost after fire. Permafrost thaw, in turn, likely increased drainage and resulted in drier surface soils. Burn severity also influenced plant community composition, which was tightly linked to soil temperature and moisture. Overall, interactions between burn severity, topography, and vegetation appear to control the distribution of near-surface permafrost and associated drainage conditions after disturbance.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs8080654","usgsCitation":"Brown, D.R., Jorgenson, M., Kielland, K., Verbyla, D.L., Prakash, A., and Koch, J.C., 2016, Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing: Remote Sensing, v. 8, no. 8, p. 1-22, https://doi.org/10.3390/rs8080654.","productDescription":"Article 654; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-077121","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8080654","text":"Publisher Index Page"},{"id":337471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"8","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea2","contributors":{"authors":[{"text":"Brown, Dana R. N.","contributorId":140386,"corporation":false,"usgs":false,"family":"Brown","given":"Dana","email":"","middleInitial":"R. N.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":684126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":127675,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":684127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kielland, Knut","contributorId":189214,"corporation":false,"usgs":false,"family":"Kielland","given":"Knut","email":"","affiliations":[],"preferred":false,"id":684128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verbyla, David L.","contributorId":84611,"corporation":false,"usgs":true,"family":"Verbyla","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":684129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prakash, Anupma","contributorId":189216,"corporation":false,"usgs":false,"family":"Prakash","given":"Anupma","email":"","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":684130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684125,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187756,"text":"70187756 - 2016 - Carbon and energy fluxes in cropland ecosystems: a model-data comparison","interactions":[],"lastModifiedDate":"2018-02-21T17:44:24","indexId":"70187756","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and energy fluxes in cropland ecosystems: a model-data comparison","docAbstract":"<p><span>Croplands are highly productive ecosystems that contribute to land–atmosphere exchange of carbon, energy, and water during their short growing seasons. We evaluated and compared net ecosystem exchange (NEE), latent heat flux (LE), and sensible heat flux (H) simulated by a suite of ecosystem models at five agricultural eddy covariance flux tower sites in the central United States as part of the North American Carbon Program Site Synthesis project. Most of the models overestimated H and underestimated LE during the growing season, leading to overall higher Bowen ratios compared to the observations. Most models systematically under predicted NEE, especially at rain-fed sites. Certain crop-specific models that were developed considering the high productivity and associated physiological changes in specific crops better predicted the NEE and LE at both rain-fed and irrigated sites. Models with specific parameterization for different crops better simulated the inter-annual variability of NEE for maize-soybean rotation compared to those models with a single generic crop type. Stratification according to basic model formulation and phenological methodology did not explain significant variation in model performance across these sites and crops. The under prediction of NEE and LE and over prediction of H by most of the models suggests that models developed and parameterized for natural ecosystems cannot accurately predict the more robust physiology of highly bred and intensively managed crop ecosystems. When coupled in Earth System Models, it is likely that the excessive physiological stress simulated in many land surface component models leads to overestimation of temperature and atmospheric boundary layer depth, and underestimation of humidity and CO</span><sub>2</sub><span> seasonal uptake over agricultural regions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-016-0219-3","usgsCitation":"Lokupitiya, E., Denning, A.S., Schaefer, K., Ricciuto, D., Anderson, R., Arain, M.A., Baker, I., Barr, A.G., Chen, G., Chen, J., Ciais, P., Cook, D., Dietze, M., El Maayar, M., Fischer, M., Grant, R., Hollinger, D., Izaurralde, C., Jain, A., Kucharik, C., Li, Z., Liu, S., Li, L., Matamala, R., Peylin, P., Price, D., Running, S., Sahoo, A., Sprintsin, M., Suyker, A., Tian, H., Tonitto, C., Torn, M., Verbeeck, H., Verma, S., and Xue, Y., 2016, Carbon and energy fluxes in cropland ecosystems: a model-data comparison: Biogeochemistry, v. 128, no. 1, p. 53-76, https://doi.org/10.1007/s10533-016-0219-3.","productDescription":"14 p.","startPage":"53","endPage":"76","ipdsId":"IP-075638","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470700,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1379544","text":"External Repository"},{"id":341422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-06-03","publicationStatus":"PW","scienceBaseUri":"593e25a3e4b0764e6c61b738","contributors":{"authors":[{"text":"Lokupitiya, E.","contributorId":192091,"corporation":false,"usgs":false,"family":"Lokupitiya","given":"E.","email":"","affiliations":[],"preferred":false,"id":695469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denning, A. Scott","contributorId":70710,"corporation":false,"usgs":true,"family":"Denning","given":"A.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":695470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaefer, K.","contributorId":64127,"corporation":false,"usgs":true,"family":"Schaefer","given":"K.","email":"","affiliations":[],"preferred":false,"id":695471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricciuto, D.","contributorId":192093,"corporation":false,"usgs":false,"family":"Ricciuto","given":"D.","email":"","affiliations":[],"preferred":false,"id":695472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, R.","contributorId":104191,"corporation":false,"usgs":false,"family":"Anderson","given":"R.","affiliations":[],"preferred":false,"id":695473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arain, M. A.","contributorId":192094,"corporation":false,"usgs":false,"family":"Arain","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":695474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, I.","contributorId":192095,"corporation":false,"usgs":false,"family":"Baker","given":"I.","email":"","affiliations":[],"preferred":false,"id":695475,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barr, A. G.","contributorId":192096,"corporation":false,"usgs":false,"family":"Barr","given":"A.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":695476,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, G.","contributorId":81223,"corporation":false,"usgs":true,"family":"Chen","given":"G.","email":"","affiliations":[],"preferred":false,"id":695477,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chen, J.M.","contributorId":70178,"corporation":false,"usgs":true,"family":"Chen","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":695478,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ciais, P.","contributorId":39604,"corporation":false,"usgs":true,"family":"Ciais","given":"P.","affiliations":[],"preferred":false,"id":695479,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cook, D.R.","contributorId":20585,"corporation":false,"usgs":true,"family":"Cook","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":695480,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dietze, M.C.","contributorId":43583,"corporation":false,"usgs":true,"family":"Dietze","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":695481,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"El Maayar, M.","contributorId":192098,"corporation":false,"usgs":false,"family":"El Maayar","given":"M.","email":"","affiliations":[],"preferred":false,"id":695482,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fischer, M.","contributorId":23762,"corporation":false,"usgs":true,"family":"Fischer","given":"M.","email":"","affiliations":[],"preferred":false,"id":695483,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grant, R.","contributorId":192100,"corporation":false,"usgs":false,"family":"Grant","given":"R.","affiliations":[],"preferred":false,"id":695484,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hollinger, D.","contributorId":33873,"corporation":false,"usgs":true,"family":"Hollinger","given":"D.","email":"","affiliations":[],"preferred":false,"id":695485,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Izaurralde, C.","contributorId":192101,"corporation":false,"usgs":false,"family":"Izaurralde","given":"C.","email":"","affiliations":[],"preferred":false,"id":695486,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Jain, A.","contributorId":192102,"corporation":false,"usgs":false,"family":"Jain","given":"A.","email":"","affiliations":[],"preferred":false,"id":695487,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kucharik, C.J.","contributorId":51474,"corporation":false,"usgs":true,"family":"Kucharik","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":695488,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Li, Z.","contributorId":192105,"corporation":false,"usgs":false,"family":"Li","given":"Z.","email":"","affiliations":[],"preferred":false,"id":695489,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":695490,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Li, L.","contributorId":192106,"corporation":false,"usgs":false,"family":"Li","given":"L.","email":"","affiliations":[],"preferred":false,"id":695491,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Matamala, R.","contributorId":106417,"corporation":false,"usgs":true,"family":"Matamala","given":"R.","affiliations":[],"preferred":false,"id":695492,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Peylin, P.","contributorId":14265,"corporation":false,"usgs":true,"family":"Peylin","given":"P.","email":"","affiliations":[],"preferred":false,"id":695493,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Price, D.","contributorId":192108,"corporation":false,"usgs":false,"family":"Price","given":"D.","email":"","affiliations":[],"preferred":false,"id":695494,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Running, S. W.","contributorId":52505,"corporation":false,"usgs":true,"family":"Running","given":"S. W.","affiliations":[],"preferred":false,"id":695495,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Sahoo, A.","contributorId":192109,"corporation":false,"usgs":false,"family":"Sahoo","given":"A.","email":"","affiliations":[],"preferred":false,"id":695496,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sprintsin, M.","contributorId":192110,"corporation":false,"usgs":false,"family":"Sprintsin","given":"M.","email":"","affiliations":[],"preferred":false,"id":695497,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Suyker, A.E.","contributorId":42051,"corporation":false,"usgs":true,"family":"Suyker","given":"A.E.","affiliations":[],"preferred":false,"id":695498,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Tian, H.","contributorId":43524,"corporation":false,"usgs":true,"family":"Tian","given":"H.","affiliations":[],"preferred":false,"id":695499,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Tonitto, Christina","contributorId":22168,"corporation":false,"usgs":false,"family":"Tonitto","given":"Christina","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":695500,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Torn, M.S.","contributorId":35051,"corporation":false,"usgs":true,"family":"Torn","given":"M.S.","affiliations":[],"preferred":false,"id":695501,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Verbeeck, Hans","contributorId":192111,"corporation":false,"usgs":false,"family":"Verbeeck","given":"Hans","email":"","affiliations":[],"preferred":false,"id":695502,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Verma, S.B.","contributorId":103890,"corporation":false,"usgs":true,"family":"Verma","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":695503,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Xue, Y.","contributorId":37534,"corporation":false,"usgs":true,"family":"Xue","given":"Y.","email":"","affiliations":[],"preferred":false,"id":695504,"contributorType":{"id":1,"text":"Authors"},"rank":36}]}}
,{"id":70184366,"text":"70184366 - 2016 - Effects of spray-dried Pseudomonas fluorescens, strain CL145A (Zequanox®) on reproduction and early development of the fathead minnow (Pimephales promelas).","interactions":[],"lastModifiedDate":"2017-03-16T10:55:20","indexId":"70184366","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Effects of spray-dried Pseudomonas fluorescens, strain CL145A (Zequanox®) on reproduction and early development of the fathead minnow (Pimephales promelas).","docAbstract":"The biopesticide, Zequanox®, is registered for dreissenid mussel control in open water systems. Previous toxicity trials with nontarget organisms, including young-of-the year of several fish species and invertebrates, demonstrated selectivity of Zequanox for dreissenids. However, data are lacking on its safety to reproductive and early life stages of fish. The present study evaluated the effects of Zequanox on spawning and early life stages of the fathead minnow, Pimephales promelas, at the maximum approved concentration (100 mg Zequanox active ingredient /L) and exposure duration (8 h) for open water application. The results showed no significant effect of Zequanox on survival, condition, or cumulative egg deposition (21 d) in adult fathead minnow. Eggs (<24-h old) exposed to Zequanox developed to the eyed-stage at a similar rate to that of unexposed eggs. Additionally, Zequanox did not have a significant effect on survival and growth (90 d) of newly hatched fry (<24-h old). The results indicate that Zequanox treatment will not affect survival, spawning, and early life development of fathead minnows when applied at the recommended treatment regime.","language":"English","publisher":"Legislative-Citizen Commission on Minnesota Resources (LCCMR)","usgsCitation":"Waller, D.L., and Luoma, J.A., 2016, Effects of spray-dried Pseudomonas fluorescens, strain CL145A (Zequanox®) on reproduction and early development of the fathead minnow (Pimephales promelas)., iv, 15 p.","productDescription":"iv, 15 p.","numberOfPages":"19","ipdsId":"IP-077767","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":337712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337018,"type":{"id":15,"text":"Index Page"},"url":"https://www.lccmr.leg.mn/projects/2013/finals/2013_06f_attachment_2.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41be4b0849ce97dc748","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":681188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":681189,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185009,"text":"70185009 - 2016 - Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health","interactions":[],"lastModifiedDate":"2018-08-07T12:11:38","indexId":"70185009","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","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":"Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health","docAbstract":"<p><span>An occurrence survey was conducted on selected pathogens in source and treated drinking water collected from 25 drinking water treatment plants (DWTPs) in the United States. Water samples were analyzed for the protozoa </span><i>Giardia</i><span> and </span><i>Cryptosporidium</i><span> (EPA Method 1623); the fungi </span><i>Aspergillus fumigatus</i><span>, </span><i>Aspergillus niger</i><span> and </span><i>Aspergillus terreus</i><span> (quantitative PCR [qPCR]); and the bacteria </span><i>Legionella pneumophila</i><span> (qPCR), </span><i>Mycobacterium avium</i><span>, </span><i>M. avium</i><span> subspecies </span><i>paratuberculosis</i><span>, and </span><i>Mycobacterium intracellulare</i><span> (qPCR and culture). </span><i>Cryptosporidium</i><span> and </span><i>Giardia</i><span> were detected in 25% and in 46% of the source water samples, respectively (treated waters were not tested). </span><i>Aspergillus fumigatus</i><span> was the most commonly detected fungus in source waters (48%) but none of the three fungi were detected in treated water. </span><i>Legionella pneumophila</i><span> was detected in 25% of the source water samples but in only 4% of treated water samples. </span><i>M. avium</i><span> and </span><i>M. intracellulare</i><span> were both detected in 25% of source water, while all three mycobacteria were detected in 36% of treated water samples. Five species of mycobacteria, </span><i>Mycobacterium mucogenicum</i><span>, </span><i>Mycobacterium phocaicum</i><span>, </span><i>Mycobacterium triplex</i><span>, </span><i>Mycobacterium fortuitum</i><span>, and </span><i>Mycobacterium lentiflavum</i><span> were cultured from treated water samples. Although these DWTPs represent a fraction of those in the U.S., the results suggest that many of these pathogens are widespread in source waters but that treatment is generally effective in reducing them to below detection limits. The one exception is the mycobacteria, which were commonly detected in treated water, even when not detected in source waters.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.03.214","usgsCitation":"King, D.N., Donohue, M.J., Vesper, S.J., Villegas, E.N., Ware, M.W., Vogel, M.E., Furlong, E., Kolpin, D.W., Glassmeyer, S., and Pfaller, S., 2016, Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health: Science of the Total Environment, v. 562, p. 987-995, https://doi.org/10.1016/j.scitotenv.2016.03.214.","productDescription":"9 p.","startPage":"987","endPage":"995","ipdsId":"IP-061631","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.03.214","text":"Publisher Index Page"},{"id":337446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"562","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7afa1e4b0849ce9795ea8","chorus":{"doi":"10.1016/j.scitotenv.2016.03.214","url":"http://dx.doi.org/10.1016/j.scitotenv.2016.03.214","publisher":"Elsevier BV","authors":"King Dawn N., Donohue Maura J., Vesper Stephen J., Villegas Eric N., Ware Michael W., Vogel Megan E., Furlong Edward F., Kolpin Dana W., Glassmeyer Susan T., Pfaller Stacy","journalName":"Science of The Total Environment","publicationDate":"8/2016"},"contributors":{"authors":[{"text":"King, Dawn N.","contributorId":189145,"corporation":false,"usgs":false,"family":"King","given":"Dawn","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":683968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donohue, Maura J.","contributorId":189146,"corporation":false,"usgs":false,"family":"Donohue","given":"Maura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vesper, Stephen J.","contributorId":78296,"corporation":false,"usgs":true,"family":"Vesper","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villegas, Eric N.","contributorId":56947,"corporation":false,"usgs":true,"family":"Villegas","given":"Eric","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":683971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ware, Michael W.","contributorId":65357,"corporation":false,"usgs":true,"family":"Ware","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":683972,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vogel, Megan E.","contributorId":189147,"corporation":false,"usgs":false,"family":"Vogel","given":"Megan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward","contributorId":62689,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","affiliations":[],"preferred":false,"id":683974,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":683947,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Glassmeyer, Susan T.","contributorId":72924,"corporation":false,"usgs":true,"family":"Glassmeyer","given":"Susan T.","affiliations":[],"preferred":false,"id":683975,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pfaller, Stacy","contributorId":189148,"corporation":false,"usgs":false,"family":"Pfaller","given":"Stacy","email":"","affiliations":[],"preferred":false,"id":683976,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70185010,"text":"70185010 - 2016 - Geochemistry of the Black Sea during the last 15 kyr: A protracted evolution of its hydrography and ecology","interactions":[],"lastModifiedDate":"2017-03-14T14:56:03","indexId":"70185010","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry of the Black Sea during the last 15 kyr: A protracted evolution of its hydrography and ecology","docAbstract":"<p><span>The Black Sea is a 2200 m deep anoxic, marine sea connected to the Mediterranean Sea via the Dardanelles Strait, Marmara Sea, and the 3 km wide, 35 m deep Bosphorus Strait. The biogeochemistry of sediment from the Anatolia slope has recorded changes to the hydrography leading up to and following the input of Mediterranean water at ~9.4 ka (10</span><sup>3</sup><span> years B.P.), when global sea level rose to the level of the Bosphorus sill and high-salinity water from the Mediterranean began to spill into the then brackish lake. The water initially mixed little with the lake water but cascaded to the bottom where it remained essentially isolated for ~1.6 kyr, the time required to fill the basin from the bottom up at its present input rate. The accumulation of Mo in the seafloor sediments, a proxy of bottom-water anoxia, increased sharply at ~8.6 ka, when bacterial respiration in the bottom water advanced to SO</span><sub>4</sub><sup>2−</sup><span> reduction by the oxidation of organic detritus that settled out of the photic zone. Its accumulation remained elevated to ~5.6 ka, when it decreased 60%, only to again increase slightly at ~2.0 ka. The accumulation of C</span><sub>org</sub><span>, a proxy of primary productivity, increased threefold to fourfold at ~7.8 ka, when upward mixing of the high-salinity bottom water replaced the then thin veneer of the brackish photic zone in less than 50 years. From that time onward, the accumulation of C</span><sub>org</sub><span>, Mo, and additional trace metals has reflected the hydrography of the basin and Bosphorus Strait, controlled largely by climate.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016PA002949","usgsCitation":"Piper, D.Z., 2016, Geochemistry of the Black Sea during the last 15 kyr: A protracted evolution of its hydrography and ecology: Paleoceanography, v. 31, no. 8, p. 1117-1137, https://doi.org/10.1002/2016PA002949.","productDescription":"21 p.","startPage":"1117","endPage":"1137","ipdsId":"IP-062979","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016pa002949","text":"Publisher Index Page"},{"id":337527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Black Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              27.1142578125,\n              40.51379915504413\n            ],\n            [\n              41.87988281249999,\n              40.51379915504413\n            ],\n            [\n              41.87988281249999,\n              47.12995075666307\n            ],\n            [\n              27.1142578125,\n              47.12995075666307\n            ],\n            [\n              27.1142578125,\n              40.51379915504413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-28","publicationStatus":"PW","scienceBaseUri":"58c90127e4b0849ce97abce7","contributors":{"authors":[{"text":"Piper, David Z. dzpiper@usgs.gov","contributorId":2452,"corporation":false,"usgs":true,"family":"Piper","given":"David","email":"dzpiper@usgs.gov","middleInitial":"Z.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":683948,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175369,"text":"70175369 - 2016 - On the deterministic and stochastic use of hydrologic models","interactions":[],"lastModifiedDate":"2018-04-03T11:39:16","indexId":"70175369","displayToPublicDate":"2016-07-31T08:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"On the deterministic and stochastic use of hydrologic models","docAbstract":"<p><span>Environmental simulation models, such as precipitation-runoff watershed models, are increasingly used in a deterministic manner for environmental and water resources design, planning, and management. In operational hydrology, simulated responses are now routinely used to plan, design, and manage a very wide class of water resource systems. However, all such models are calibrated to existing data sets and retain some residual error. This residual, typically unknown in practice, is often ignored, implicitly trusting simulated responses as if they are deterministic quantities. In general, ignoring the residuals will result in simulated responses with distributional properties that do not mimic those of the observed responses. This discrepancy has major implications for the operational use of environmental simulation models as is shown here. Both a simple linear model and a distributed-parameter precipitation-runoff model are used to document the expected bias in the distributional properties of simulated responses when the residuals are ignored. The systematic reintroduction of residuals into simulated responses in a manner that produces stochastic output is shown to improve the distributional properties of the simulated responses. Every effort should be made to understand the distributional behavior of simulation residuals and to use environmental simulation models in a stochastic manner.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016WR019129","usgsCitation":"Farmer, W.H., and Vogel, R.M., 2016, On the deterministic and stochastic use of hydrologic models: Water Resources Research, v. 52, no. 7, p. 5619-5633, https://doi.org/10.1002/2016WR019129.","productDescription":"15 p.","startPage":"5619","endPage":"5633","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075481","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470712,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019129","text":"Publisher Index Page"},{"id":438579,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7W37TF4","text":"USGS data release","linkHelpText":"Data release in support of &amp;amp;quot;One the Deterministic and Stochastic Use of Hydrologic Models&amp;amp;quot;"},{"id":326189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-31","publicationStatus":"PW","scienceBaseUri":"57a9ad6ae4b05e859bdfba82","contributors":{"authors":[{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":644942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":644943,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189378,"text":"70189378 - 2016 - Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems","interactions":[],"lastModifiedDate":"2017-07-12T12:41:49","indexId":"70189378","displayToPublicDate":"2016-07-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems","docAbstract":"<p>This report details modeling to: 1) codify flow-ecology relationships for riparian species of the Bill Williams River as operational guidance for water managers, 2) test the guidance under different climate scenarios, and 3) revise the operational guidance as needed to address the effects of climate change. Model applications detailed herein include the River Analysis System &nbsp;(HEC-RAS) and the Ecosystem Functions Model &nbsp;(HEC-EFM), which was used to generate more than three million estimates of local seedling recruitment areas. Areas were aggregated and compared to determine which scenarios generated the most seedling area per unit volume of water. Scenarios that maximized seedling area were grouped into a family of curves that serve as guidance for water managers. This work has direct connections to water management decision-making and builds upon and adds to the rich history of science-based management for the Bill Williams River, Arizona, USA.&nbsp;</p>","language":"English","publisher":"U.S. Army Corps of Engineers","usgsCitation":"Hickey, J., Fields, W., Andrew Hautzinger, Sesnie, S., Shafroth, P.B., and Gilbert, D., 2016, Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems, Report: xii, 90 p. .","productDescription":"Report: xii, 90 p. ","startPage":"1","endPage":"90","numberOfPages":"106","ipdsId":"IP-073662","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":343714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343706,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.hec.usace.army.mil/publications/"}],"country":"United States","state":"Arizona ","otherGeospatial":"Bill Williams River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.15206909179688,\n              34.178861487501464\n            ],\n            [\n              -113.499755859375,\n              34.178861487501464\n            ],\n            [\n              -113.499755859375,\n              34.34570381052938\n            ],\n            [\n              -114.15206909179688,\n              34.34570381052938\n            ],\n            [\n              -114.15206909179688,\n              34.178861487501464\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673543e4b0d1f9f05dd7db","contributors":{"authors":[{"text":"Hickey, John","contributorId":194519,"corporation":false,"usgs":false,"family":"Hickey","given":"John","email":"","affiliations":[],"preferred":false,"id":704431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fields, Woodrow","contributorId":194518,"corporation":false,"usgs":false,"family":"Fields","given":"Woodrow","email":"","affiliations":[],"preferred":false,"id":704430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrew Hautzinger","contributorId":194520,"corporation":false,"usgs":false,"family":"Andrew Hautzinger","affiliations":[],"preferred":false,"id":704432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sesnie, Steven","contributorId":194521,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven","email":"","affiliations":[],"preferred":false,"id":704433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":704429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gilbert, Dick","contributorId":194522,"corporation":false,"usgs":false,"family":"Gilbert","given":"Dick","email":"","affiliations":[],"preferred":false,"id":704434,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70170574,"text":"sir20165055 - 2016 - Budgets and chemical characterization of groundwater for the Diamond Valley flow system, central Nevada, 2011–12","interactions":[],"lastModifiedDate":"2019-08-16T08:36:22","indexId":"sir20165055","displayToPublicDate":"2016-07-29T15:00:00","publicationYear":"2016","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":"2016-5055","title":"Budgets and chemical characterization of groundwater for the Diamond Valley flow system, central Nevada, 2011–12","docAbstract":"<p>The Diamond Valley flow system consists of six hydraulically connected hydrographic areas in central Nevada. The general down-gradient order of the areas are southern and northern Monitor Valleys, Antelope Valley, Kobeh Valley, Stevens Basin, and Diamond Valley. Groundwater flow in the Diamond Valley flow system terminates at a large playa in the northern part of Diamond Valley. Concerns relating to continued water-resources development of the flow system resulted in a phased hydrologic investigation that began in 2005 by the U.S. Geological Survey in cooperation with Eureka County. This report presents the culmination of the phased investigation to increase understanding of the groundwater resources of the basin-fill aquifers in the Diamond Valley flow system through evaluations of groundwater chemistry and budgets. Groundwater chemistry was characterized using major ions and stable isotopes from groundwater and precipitation samples. Groundwater budgets accounted for all inflows, outflows, and changes in storage, and were developed for pre-development (pre-1950) and recent (average annual 2011&ndash;12) conditions. Major budget components include groundwater discharge by evapotranspiration and groundwater withdrawals; groundwater recharge by precipitation, and interbasin flow; and storage change.</p>\n<p>Groundwater in the basin-fill aquifer of the Diamond Valley flow system was mostly a calcium or sodium bicarbonate water type and generally within acceptable drinking-water standards. The general water type was similar among the individual hydrographic areas. Stable isotopes of oxygen-18 and deuterium from precipitation varied seasonally, such that enrichment from evaporation was greater during warmer months than cooler months. The isotopic signature of shallow groundwater was similar to cool season precipitation, indicating recharge was relatively recent (similar to recent climatic conditions) and was derived from cool season precipitation.</p>\n<p>Site-scale groundwater evapotranspiration was estimated from eddy-covariance and micrometeorological measurements collected at four sites and ranged from 0.15 feet per year in sparse, undisturbed shrubland to 1.13 feet per year in a grassland meadow. Vegetation indices calculated from satellite imagery and field mapping were used to define three evapotranspiration units (shrubland, grassland, and playa) and to extrapolate site-scale groundwater evapotranspiration rates to basin-scale estimates. Annual pre-development groundwater&nbsp;evapotranspiration for individual hydrographic areas ranged from 2,900 acre-feet per year (acre-ft/yr) in northern Monitor Valley to 35,000 acre-ft/yr in Diamond Valley. Total groundwater evapotranspiration from the Diamond Valley flow system under pre-development conditions was about 70,000 acre-ft/yr.</p>\n<p>Areas of irrigated land in the Diamond Valley flow system increased from less than 5,000 acres in the early 1960s to more than 25,000 acres in 2012 and are mostly for growing alfalfa in southern Diamond Valley. Annual (2011&ndash;12) net groundwater withdrawals for irrigation, assumed to be the volume of groundwater consumed by crops and pastureland, ranged from about 420 acre-ft/yr in Antelope Valley to 67,000 acre-ft/yr in Diamond Valley. Total net groundwater withdrawals for irrigation in the Diamond Valley flow system were about 69,000 acre-ft/yr (2011&ndash;12).</p>\n<p>Groundwater recharge, the largest inflow component to the Diamond Valley flow system, was determined as the sum of groundwater evapotranspiration and net subsurface outflow (subsurface outflow minus subsurface inflow). Annual groundwater recharge estimates ranged from 200 acre-ft/yr in Stevens Basin to 35,000 acre-ft/yr in Diamond Valley.</p>\n<p>Subsurface flow between hydrographic basins was evaluated using estimated transmissivity, groundwater-flow sections derived from remotely sensed imagery, and hydraulic gradients determined from 2012 water-level data. Subsurface outflow ranged from 0 acre-ft/yr for Diamond Valley to 3,400 acre-ft/yr for northern Monitor Valley into western Kobeh Valley. Subsurface inflow ranged from 0 acre-ft/yr for southern Monitor Valley to 4,200 acre-ft/yr for Kobeh Valley from northern Monitor and Antelope Valleys.</p>\n<p>The pre-development, steady state, groundwater budget for the Diamond Valley flow system was estimated at about 70,000 acre-ft/yr of inflow and outflow. During years 2011&ndash;12, inflow components of groundwater recharge from precipitation and subsurface inflow from adjacent basins totaled 70,000 acre-ft/yr for the DVFS, whereas outflow components included 64,000 acre-ft/yr of groundwater evapotranspiration and 69,000 acre-ft/yr of net groundwater withdrawals, or net pumpage. Spring discharge in northern Diamond Valley declined about 6,000 acre-ft/yr between pre-development time and years 2011&ndash;12. Assuming net groundwater withdrawals minus spring flow decline is equivalent to the storage change, the 2011&ndash;12 summation of inflow and storage change was balanced with outflow at about 133,000 acre-ft/yr.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165055","collaboration":"Prepared in cooperation with Eureka County, Nevada","usgsCitation":"Berger, D.L., Mayers, C.J., Garcia, C.A., Buto, S.G., and Huntington, J.M., 2016, Budgets and chemical characterization of groundwater for the Diamond Valley flow system, central Nevada, 2011–12: U.S. Geological Survey Scientific Investigations Report 2016–5055, 83 p., https://dx.doi.org/10.3133/sir20165055.","productDescription":"Report: x, 84 p.; Plate: 22 x 33 inches; 5 Datasets","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042275","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":325830,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7JM27QV","text":"Irrigated Agricultural Lands and Associated Land Disturbance in the Diamond Valley Flow System, Central Nevada, 2011"},{"id":325831,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F75B00K7","text":"Groundwater Discharge Area for the Diamond Valley Flow System, Central Nevada"},{"id":325832,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7930R9K","text":"Summer Mean Enhanced Vegetation Index for the Diamond Valley Flow System Groundwater Discharge Area, 2010"},{"id":325833,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7DV1H0J","text":"Evapotranspiration Units for the Diamond Valley Flow System, Central Nevada, 2010"},{"id":325829,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F71J97VZ","text":"Water-Level Altitude Contours for the Diamond Valley Flow System, Central Nevada, 2012"},{"id":325825,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5055/coverthb.jpg"},{"id":325826,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5055/sir20165055.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5055 Report PDF"},{"id":325827,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5055/sir20165055_high-res.pdf","text":"Report - Print Resolution","size":"47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5055 Report Print PDF"},{"id":325828,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5055/sir20165055_plate.pdf","text":"Plate 1","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5055 Plate 1","linkHelpText":"Groundwater Levels in Basin-Fill Deposits, Groundwater-Discharge Areas, and Agricultural Areas of the Diamond Valley Flow System, Central Nevada"},{"id":366584,"rank":10,"type":{"id":28,"text":"Dataset"},"url":" https://doi.org/10.5066/P9NZ9XSP","text":"Evapotranspiration data, Kobeh Valley, Nevada, 2010–12"}],"country":"United States","state":"Nevada","county":"Elko County, Eureka County, Lander County, Nye County","otherGeospatial":"Diamond Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.33333,\n              38.33333\n            ],\n            [\n              -117.33333,\n              40.33333\n            ],\n            [\n              -115.33333,\n              40.33333\n            ],\n            [\n              -115.33333,\n              38.33333\n            ],\n            [\n              -117.33333,\n              38.33333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.com\" data-mce-href=\"mailto:dc_nv@usgs.com\">Director</a>, Nevada Water Science Center<br>U.S. Geological Survey<br>2730 N. Deer Run Rd.<br>Carson City, NV 89701<br><a href=\"http://nevada.usgs.gov/water/\" data-mce-href=\"http://nevada.usgs.gov/water/\">http://nevada.usgs.gov/water/</a><br></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Chemical Characterization of Groundwater</li>\n<li>Estimation of Groundwater-Budget Components</li>\n<li>Groundwater Budgets</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Appendix 1: Description of Spatial Datasets</li>\n<li>Appendix 2: Water-Quality Data</li>\n</ul>\n<p>&nbsp;</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-07-29","noUsgsAuthors":false,"publicationDate":"2016-07-29","publicationStatus":"PW","scienceBaseUri":"579c7020e4b0589fa1c98a08","contributors":{"authors":[{"text":"Berger, David L. dlberger@usgs.gov","contributorId":1861,"corporation":false,"usgs":true,"family":"Berger","given":"David","email":"dlberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":627724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":2306,"corporation":false,"usgs":true,"family":"Mayers","given":"C. Justin","email":"cjmayers@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buto, Susan G. 0000-0002-1107-9549 sbuto@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9549","contributorId":1057,"corporation":false,"usgs":true,"family":"Buto","given":"Susan","email":"sbuto@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huntington, Jena M. 0000-0002-9291-1404 jmhunt@usgs.gov","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":2294,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","email":"jmhunt@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":627728,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175081,"text":"70175081 - 2016 - Osmoregulatory physiology and rapid evolution of salinity tolerance in threespine stickleback recently introduced to fresh water","interactions":[],"lastModifiedDate":"2016-07-28T13:47:47","indexId":"70175081","displayToPublicDate":"2016-07-28T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1604,"text":"Evolutionary Ecology Research","active":true,"publicationSubtype":{"id":10}},"title":"Osmoregulatory physiology and rapid evolution of salinity tolerance in threespine stickleback recently introduced to fresh water","docAbstract":"<p><strong>Background:</strong>&nbsp;Post-Pleistocene diversification of threespine stickleback in fresh water offers a valuable opportunity to study how changes in environmental salinity shape physiological evolution in fish. In Alaska, the presence of both ancestral oceanic populations and derived landlocked populations, including recent lake introductions, allows us to examine rates and direction of evolution of osmoregulation following halohabitat transition.</p>\n<p><strong>Hypotheses:</strong>&nbsp;Strong selection for enhanced freshwater tolerance will improve survival of recently lake-introduced stickleback in ion-poor conditions compared with their oceanic ancestors. Trade-offs between osmoregulation in fresh water and seawater will allow members of the ancestral population to survive better in response to seawater challenge, as mediated by upregulating salt-secreting transporters in the gill. Poorer hypo-osmoregulatory performance of derived fish will be marked by higher levels of taurine and other organic osmolytes.</p>\n<p><strong>Methods:</strong>&nbsp;We reared clutches at a common salinity from an anadromous and a descendant population, Scout Lake, which has been landlocked for only two generations. We challenged 6-week-old juveniles with extreme low and high salinity treatments and sampled fish over 10 days to investigate putative molecular mechanisms underlying differences in halotolerance. We measured whole-body organic osmolyte content as well as gill Na<sup>+</sup>/K<sup>+</sup>-ATPase (NKA) activity and Na<sup>+</sup>/K<sup>+</sup>/2Cl<sup>&minus;</sup>&nbsp;cotransporter (NKCC) protein abundance. Other juveniles from these populations and also from Cheney Lake, a fourth-generation landlocked descendant, were gradually salt-acclimated to determine maximum halotolerance limits.</p>\n<p><strong>Results:</strong>&nbsp;Scout Lake stickleback exhibited 67% higher survival in fresh water than the ancestral anadromous population, but individuals from both groups exhibited similar seawater tolerance. Likewise, the gradual salinity threshold for each population was equivalent (71 ppt). Gill NKA activity and NKCC abundance were both higher in seawater-challenged fish, but did not differ between populations. Sticklebacks from both populations responded to acute salinity stress by transiently increasing osmolyte levels in seawater and decreasing them in fresh water.</p>\n<p><strong>Conclusion:</strong>&nbsp;Enhanced freshwater tolerance has evolved rapidly in recently landlocked stickleback compared with their anadromous ancestors (0.569 haldanes), but the former have retained ancestral seawater-osmoregulatory function.</p>","language":"English","publisher":"Evolution and Ecology Research","usgsCitation":"Divino, J.N., Monette, M.Y., McCormick, S.D., Yancey, P.H., Flannery, K.G., Bell, M.A., Rollins, J.L., von Hippel, F., and Schultz, E., 2016, Osmoregulatory physiology and rapid evolution of salinity tolerance in threespine stickleback recently introduced to fresh water: Evolutionary Ecology Research, v. 17, p. 179-201.","productDescription":"23 p.","startPage":"179","endPage":"201","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070426","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":325786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325785,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://evolutionary-ecology.com/abstracts/v17/2982.html"}],"volume":"17","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951cf","contributors":{"authors":[{"text":"Divino, Jeffrey N","contributorId":173236,"corporation":false,"usgs":false,"family":"Divino","given":"Jeffrey","email":"","middleInitial":"N","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":643844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monette, Michelle Y.","contributorId":95769,"corporation":false,"usgs":true,"family":"Monette","given":"Michelle","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":643850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":643843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yancey, Paul H.","contributorId":173237,"corporation":false,"usgs":false,"family":"Yancey","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":643851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flannery, Kyle G.","contributorId":173238,"corporation":false,"usgs":false,"family":"Flannery","given":"Kyle","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":643852,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Michael A.","contributorId":173239,"corporation":false,"usgs":false,"family":"Bell","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":643853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rollins, Jennifer L.","contributorId":173240,"corporation":false,"usgs":false,"family":"Rollins","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":643854,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"von Hippel, Frank A.","contributorId":96599,"corporation":false,"usgs":true,"family":"von Hippel","given":"Frank A.","affiliations":[],"preferred":false,"id":643855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schultz, Eric T.","contributorId":77071,"corporation":false,"usgs":true,"family":"Schultz","given":"Eric T.","affiliations":[],"preferred":false,"id":643845,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70174819,"text":"ofr20161111 - 2016 - Agricultural irrigated land-use inventory for the counties in the Suwannee River Water Management District in Florida, 2015","interactions":[],"lastModifiedDate":"2016-08-16T16:39:28","indexId":"ofr20161111","displayToPublicDate":"2016-07-28T11:00:00","publicationYear":"2016","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":"2016-1111","title":"Agricultural irrigated land-use inventory for the counties in the Suwannee River Water Management District in Florida, 2015","docAbstract":"<p>A detailed inventory of irrigated crop acreage is not available at the level of resolution needed to accurately estimate agricultural water use or to project future water demands in many Florida counties. A detailed digital map and summary of irrigated acreage during the 2015 growing season was developed for 13 of the 15 counties that compose the Suwannee River Water Management District. The irrigated areas were delineated using land-use data, orthoimagery, and information obtained from the water management district consumptive water-use permits that were then field verified between May and November of 2015. Selected attribute data were collected for the irrigated areas, including crop type, primary water source, and type of irrigation system. Results indicate that an estimated 113,134 acres were either irrigated or had potential for irrigation in all or part of the 13 counties within the Suwannee River Water Management District during 2015. This estimate includes 108,870 acres of field-verified, irrigated crops and 4,264 acres of irrigated land observed as (1) idle (with an irrigation system visible but no crop present at the time of the field-verification visit), (2) acres that could not be verified during field visits, or (3) acres that were located on publicly owned research lands.</p>\n<p>Of the total field-verified crops, 83,721 acres were field crops; 20,962 acres were vegetable crops (sometimes referred to as row crops); 3,089 acres were in tree nurseries, ornamentals, and sod production; and 1,098 acres were fruit crops. Specific irrigated crops included 32,468 acres of corn (primarily for silage); 28,170 acres of peanuts; and 10,331 acres of hay. About 40 percent of the vegetable acreage (8,340 acres) was double cropped (planted with both a spring and a fall crop on the same field). Beans, carrots, and watermelons were the most commonly grown vegetable crops in these 13 counties in 2015.</p>\n<p>Sprinkler irrigation systems including center pivots, portable or&nbsp;traveling guns, and permanent or solid overhead fixtures accounted for nearly 91 percent (102,874 acres) of the total irrigated acreage in the Suwannee River Water Management District, whereas microirrigation systems including drip irrigation accounted for 9 percent (10,260 acres) of the irrigated acreage. A total of 1,466 center pivots were observed during field verification in 2015 and accounted for 93,093 irrigated acres (which represents 82 percent of the total irrigated acreage). Most center pivots were in use at the time of the field verification, although about 3 percent appeared idle. No flood irrigation systems were observed during field verification in 2015. Overall, groundwater was used to irrigate nearly all of the field-verified acreage (99.8 percent). Dairy wastewater effluent was used on many fields during 2015; however, a quantitative estimate of acreage using effluent could not be determined.</p>\n<p>Irrigated cropland totaled 26,927 acres in Suwannee County; 16,511 acres in Madison County; 14,862 acres in Hamilton County; and 14,155 acres in Gilchrist County; these four counties accounted for nearly two-thirds (64 percent) of the acres irrigated within the Suwannee River Water Management District during 2015. Corn (primarily for silage) and peanuts were the primary irrigated crops, accounting for 48, 70, and 71 percent, respectively, of the total irrigated acreage in Suwannee, Madison, and Gilchrist Counties; vegetables accounted for 52 percent of the total irrigated acres in Hamilton County. Other counties with substantial irrigated acreage included Levy (10,122 acres), Alachua (9,547 acres), and Lafayette (8,110 acres); these three counties, combined with Suwannee, Madison, Hamilton, and Gilchrist Counties, accounted for 88 percent of the irrigated acreage in the Suwannee River Water Management District.</p>\n<p>The irrigated acreage that was field verified in 2015 for the 13 counties in the Suwannee River Water Management District (113,134 acres) is about 6 percent higher than the estimated acreage published by the U.S. Department of Agriculture (107,217 acres) for 2012; however, this 2012 value represents acreage for the entire portion of all 13 counties, not just the Suwannee River Water Management District portion. Differences between the 2015 field-verified acreage totals and those published by the U.S. Department of Agriculture for 2012 may occur because (1) irrigated acreage for some specific crops increased or decreased substantially during the 3-year interval due to commodity prices or economic changes, (2) calculated field-verified irrigated acreage may be an overestimate because irrigation was assumed if an irrigation system was present and therefore the acreage was counted as irrigated, when in fact that may not have been the case as some farmers may not have used their irrigation systems during this growing period even if they had a crop in the field, or (3) the amount of irrigated acreages published by the U.S. Department of Agriculture for selected crops may be underestimated in some cases.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161111","collaboration":"Prepared in cooperation with the Florida Department of Agriculture and Consumer Services and the Suwannee River Water Management District","usgsCitation":"Marella, R.L., Dixon, J.F., and Berry, D.R., 2016, Agricultural irrigated land-use inventory for the counties in the Suwannee River Water Management District in Florida, 2015: U.S. Geological Survey Open-File Report 2016–1111, 18 p., https://dx.doi.org/10.3133/ofr20161111.","productDescription":"Report: 18 p.; Appendixes: 1-2; Data Release","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-071711","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":438580,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NK3C4V","text":"USGS data release","linkHelpText":"Map, Data, and GIS Files Pertaining to the Agricultural Irrigated Land-use Inventory for the Counties in the Suwannee River Water Management District, 2015"},{"id":325761,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1111/ofr20161111_appendix1.pdf","text":"Appendix 1","size":"9.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1111 Appendix 1"},{"id":325760,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1111/ofr20161111.pdf","text":"Report","size":"1.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1111"},{"id":325762,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1111/ofr20161111_appendix2.xlsx","text":"Appendix 2","size":"216 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016–1111 Appendix 2"},{"id":325763,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7NK3C4V","text":"USGS data release - GIS Data and Tables Pertaining to the Agricultural Irrigated Land-use Inventory for the Counties in the Suwannee River Water Management District, 2015","description":"USGS data release"},{"id":325759,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1111/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Suwannee River Water Management District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.0673828125,\n              30.680439786468128\n            ],\n            [\n              -82.3974609375,\n              30.58117925738696\n            ],\n            [\n              -82.3974609375,\n              30.164126343161097\n            ],\n            [\n              -82.0513916015625,\n              30.149877316442065\n            ],\n            [\n              -82.034912109375,\n              29.3965337391284\n            ],\n            [\n              -82.7435302734375,\n              28.96489485992114\n            ],\n            [\n              -83.0621337890625,\n              29.14736383122664\n            ],\n            [\n              -83.408203125,\n              29.53522956294847\n            ],\n            [\n              -83.583984375,\n              29.783449456820605\n            ],\n            [\n              -84.0838623046875,\n              30.102365696412445\n            ],\n            [\n              -84.0673828125,\n              30.680439786468128\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Caribbean-Florida Water Science Center<br>U.S. Geological Survey<br>12703 Research Parkway<br>Orlando, FL 32826<br></p><p><a href=\"http://fl.water.usgs.gov\" data-mce-href=\"http://fl.water.usgs.gov\">http://fl.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods of Investigation</li>\n<li>Results</li>\n<li>Further Information</li>\n<li>Selected References</li>\n<li>Acknowledgments</li>\n</ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-07-28","noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"579b1e9ee4b0589fa1c951bb","contributors":{"authors":[{"text":"Marella, Richard L. 0000-0003-4861-9841 rmarella@usgs.gov","orcid":"https://orcid.org/0000-0003-4861-9841","contributorId":2443,"corporation":false,"usgs":true,"family":"Marella","given":"Richard","email":"rmarella@usgs.gov","middleInitial":"L.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":642646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Joann F. 0000-0001-9200-6407 jdixon@usgs.gov","orcid":"https://orcid.org/0000-0001-9200-6407","contributorId":1756,"corporation":false,"usgs":true,"family":"Dixon","given":"Joann","email":"jdixon@usgs.gov","middleInitial":"F.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":642647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berry, Darbi R.","contributorId":69363,"corporation":false,"usgs":true,"family":"Berry","given":"Darbi R.","affiliations":[],"preferred":false,"id":642648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175057,"text":"70175057 - 2016 - Ordinary kriging as a tool to estimate historical daily streamflow records","interactions":[],"lastModifiedDate":"2016-07-28T10:06:14","indexId":"70175057","displayToPublicDate":"2016-07-28T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Ordinary kriging as a tool to estimate historical daily streamflow records","docAbstract":"<p><span>Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology. Several tools have been developed to alleviate this data scarcity, but few provide continuous daily streamflow records at individual streamgages within an entire region. Building on the history of hydrologic mapping, ordinary kriging was extended to predict daily streamflow time series on a regional basis. Pooling parameters to estimate a single, time-invariant characterization of spatial semivariance structure is shown to produce accurate reproduction of streamflow. This approach is contrasted with a time-varying series of variograms, representing the temporal evolution and behavior of the spatial semivariance structure. Furthermore, the ordinary kriging approach is shown to produce more accurate time series than more common, single-index hydrologic transfers. A comparison between topological kriging and ordinary kriging is less definitive, showing the ordinary kriging approach to be significantly inferior in terms of Nash&ndash;Sutcliffe model efficiencies while maintaining significantly superior performance measured by root mean squared errors. Given the similarity of performance and the computational efficiency of ordinary kriging, it is concluded that ordinary kriging is useful for first-order approximation of daily streamflow time series in ungaged watersheds.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-20-2721-2016","usgsCitation":"Farmer, W.H., 2016, Ordinary kriging as a tool to estimate historical daily streamflow records: Hydrology and Earth System Sciences, v. 20, no. 7, p. 2721-2735, https://doi.org/10.5194/hess-20-2721-2016.","productDescription":"15 p.","startPage":"2721","endPage":"2735","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070177","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-2721-2016","text":"Publisher Index Page"},{"id":325769,"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":"2016-07-12","publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951cc","contributors":{"authors":[{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":643738,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175056,"text":"70175056 - 2016 - Regional flow duration curves: Geostatistical techniques versus multivariate regression","interactions":[],"lastModifiedDate":"2018-04-03T11:39:27","indexId":"70175056","displayToPublicDate":"2016-07-28T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Regional flow duration curves: Geostatistical techniques versus multivariate regression","docAbstract":"<p><span>A period-of-record flow duration curve (FDC) represents the relationship between the magnitude and frequency of daily streamflows. Prediction of FDCs is of great importance for locations characterized by sparse or missing streamflow observations. We present a detailed comparison of two methods which are capable of predicting an FDC at ungauged basins: (1) an adaptation of the geostatistical method, Top-kriging, employing a linear weighted average of dimensionless empirical FDCs, standardised with a reference streamflow value; and (2) regional multiple linear regression of streamflow quantiles, perhaps the most common method for the prediction of FDCs at ungauged sites. In particular, Top-kriging relies on a metric for expressing the similarity between catchments computed as the negative deviation of the FDC from a reference streamflow value, which we termed total negative deviation (TND). Comparisons of these two methods are made in 182 largely unregulated river catchments in the southeastern U.S. using a three-fold cross-validation algorithm. Our results reveal that the two methods perform similarly throughout flow-regimes, with average Nash-Sutcliffe Efficiencies 0.566 and 0.662, (0.883 and 0.829 on log-transformed quantiles) for the geostatistical and the linear regression models, respectively. The differences between the reproduction of FDC's occurred mostly for low flows with exceedance probability (i.e. duration) above 0.98.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2016.06.008","usgsCitation":"Pugliese, A., Farmer, W.H., Castellarin, A., Archfield, S.A., and Vogel, R.M., 2016, Regional flow duration curves: Geostatistical techniques versus multivariate regression: Advances in Water Resources, v. 96, p. 11-22, https://doi.org/10.1016/j.advwatres.2016.06.008.","productDescription":"12 p.","startPage":"11","endPage":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070176","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":325767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951d6","contributors":{"authors":[{"text":"Pugliese, Alessio","contributorId":138746,"corporation":false,"usgs":false,"family":"Pugliese","given":"Alessio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":643734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":643733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castellarin, Attilio","contributorId":138747,"corporation":false,"usgs":false,"family":"Castellarin","given":"Attilio","email":"","affiliations":[{"id":12516,"text":"Dept. DICAM, Sch of CE, U of Bol, Italy","active":true,"usgs":false}],"preferred":false,"id":643735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":643736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643737,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175058,"text":"70175058 - 2016 - Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater","interactions":[],"lastModifiedDate":"2016-07-28T09:50:40","indexId":"70175058","displayToPublicDate":"2016-07-28T10:45:00","publicationYear":"2016","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":"Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\">\n<p id=\"sp0045\">While the sources of nutrients to urban stormwater are many, the primary contributor is often organic detritus, especially in areas with dense overhead tree canopy. One way to remove organic detritus before it becomes entrained in runoff is to implement a city-wide leaf collection and street cleaning program. Improving our knowledge of the potential reduction of nutrients to stormwater through removal of leaves and other organic detritus on streets could help tailor more targeted municipal leaf collection programs. This study characterized an upper ideal limit in reductions of total and dissolved forms of phosphorus and nitrogen in stormwater through implementation of a municipal leaf collection and street cleaning program in Madison, WI, USA. Additional measures were taken to remove leaf litter from street surfaces prior to precipitation events.</p>\n<p id=\"sp0050\">Loads of total and dissolved phosphorus were reduced by 84 and 83% (p&nbsp;&lt;&nbsp;0.05), and total and dissolved nitrogen by 74 and 71% (p&nbsp;&lt;&nbsp;0.05) with an active leaf removal program. Without leaf removal, 56% of the annual total phosphorus yield (winter excluded) was due to leaf litter in the fall compared to 16% with leaf removal. Despite significant reductions in load, total nitrogen showed only minor changes in fall yields without and with leaf removal at 19 and 16%, respectively. The majority of nutrient concentrations were in the dissolved fraction making source control through leaf removal one of the few treatment options available to environmental managers when reducing the amount of dissolved nutrients in stormwater runoff. Subsequently, the efficiency, frequency, and timing of leaf removal and street cleaning are the primary factors to consider when developing a leaf management program.</p>\n<p>&nbsp;</p>\n</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.07.003","usgsCitation":"Selbig, W.R., 2016, Evaluation of leaf removal as a means to reduce nutrient concentrations and loads in urban stormwater: Science of the Total Environment, v. 571, p. 124-133, https://doi.org/10.1016/j.scitotenv.2016.07.003.","productDescription":"10 p.","startPage":"124","endPage":"133","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075776","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":438581,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76971Q2","text":"USGS data release","linkHelpText":"Concentration of total and dissolved forms of phosphorus and nitrogen from the control and test catchment during the calibration and treatment phase in Madison, WI (2013 - 2015)"},{"id":325766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Madison","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.5220947265625,\n              43.013685032366915\n            ],\n            [\n              -89.5220947265625,\n              43.135065496929194\n            ],\n            [\n              -89.29412841796875,\n              43.135065496929194\n            ],\n            [\n              -89.29412841796875,\n              43.013685032366915\n            ],\n            [\n              -89.5220947265625,\n              43.013685032366915\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"571","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579b1e9ee4b0589fa1c951c5","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643739,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168414,"text":"sir20155179 - 2016 - Quantifying the eroded volume of mercury-contaminated sediment using terrestrial laser scanning at Stocking Flat, Deer Creek, Nevada County, California, 2010–13","interactions":[],"lastModifiedDate":"2016-07-28T11:38:03","indexId":"sir20155179","displayToPublicDate":"2016-07-28T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5179","title":"Quantifying the eroded volume of mercury-contaminated sediment using terrestrial laser scanning at Stocking Flat, Deer Creek, Nevada County, California, 2010–13","docAbstract":"<p>High-resolution ground-based light detection and ranging (lidar), also known as terrestrial laser scanning, was used to quantify the volume of mercury-contaminated sediment eroded from a stream cutbank at Stocking Flat along Deer Creek in the Sierra Nevada foothills, about 3 kilometers west of Nevada City, California. Terrestrial laser scanning was used to collect sub-centimeter, three-dimensional images of the complex cutbank surface, which could not be mapped non-destructively or in sufficient detail with traditional surveying techniques.</p><p>The stream cutbank, which is approximately 50 meters long and 8 meters high, was surveyed on four occasions: December 1, 2010; January 20, 2011; May 12, 2011; and February 4, 2013. Volumetric changes were determined between the sequential, three-dimensional lidar surveys. Volume was calculated by two methods, and the average value is reported. Between the first and second surveys (December 1, 2010, to January 20, 2011), a volume of 143 plus or minus 15 cubic meters of sediment was eroded from the cutbank and mobilized by Deer Creek. Between the second and third surveys (January 20, 2011, to May 12, 2011), a volume of 207 plus or minus 24 cubic meters of sediment was eroded from the cutbank and mobilized by the stream. Total volumetric change during the winter and spring of 2010–11 was 350 plus or minus 28 cubic meters. Between the third and fourth surveys (May 12, 2011, to February 4, 2013), the differencing of the three-dimensional lidar data indicated that a volume of 18 plus or minus 10 cubic meters of sediment was eroded from the cutbank. The total volume of sediment eroded from the cutbank between the first and fourth surveys was 368 plus or minus 30 cubic meters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155179","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Howle, J.F., Alpers, C.N., Bawden, G.W., and Bond, Sandra, 2016, Quantifying the eroded volume of mercury-contaminated sediment using terrestrial laser scanning at Stocking Flat, Deer Creek, Nevada County, California, 2010–13: U.S. Geological Survey Scientific Investigations Report 2015–5179, 23 p., https://dx.doi.org/10.3133/sir20155179.","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-043568","costCenters":[{"id":154,"text":"California Water Science 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href=\"mailto:dc_ca@usgs.gov\">Director</a>, California Water Science Center<br /> U.S. Geological Survey<br /> 6000 J Street, Placer Hall<br /> Sacramento, California 95819<br /><a href=\"http://ca.water.usgs.gov\">http://ca.water.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Results of Volume Calculations</li>\n<li>Visualization of Changes</li>\n<li>Summary</li>\n<li>References Cited</li>\n<li>Glossary</li>\n</ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-07-28","noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"579b1e9fe4b0589fa1c951d2","contributors":{"authors":[{"text":"Howle, James F. 0000-0003-0491-6203 jfhowle@usgs.gov","orcid":"https://orcid.org/0000-0003-0491-6203","contributorId":2225,"corporation":false,"usgs":true,"family":"Howle","given":"James","email":"jfhowle@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":619985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":619983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":619984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, Sandra 0000-0003-0522-5287 sbond@usgs.gov","orcid":"https://orcid.org/0000-0003-0522-5287","contributorId":3328,"corporation":false,"usgs":true,"family":"Bond","given":"Sandra","email":"sbond@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":619986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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