Natural-resource managers and stakeholders face difficult challenges when managing interactions between natural and societal systems. Potential changes in climate could alter interactions between environmental and societal systems and adversely affect the availability of water resources in many coastal communities. The availability of freshwater in coastal streams can be threatened by saltwater intrusion. Even though the collective interests and computer skills of the community of managers, scientists and other stakeholders are quite varied, there is an overarching need for equal access by all to the scientific knowledge needed to make the best possible decisions. This paper describes a decision support system, PRISM-2, developed to evaluate salinity intrusion due to potential climate change along the South Carolina coast in southeastern USA. The decision support system is disseminated as a spreadsheet application and integrates the output of global circulation models, watershed models and salinity intrusion models with real-time databases for simulation, graphical user interfaces, and streaming displays of results. The results from PRISM-2 showed that a 31-cm and 62-cm increase in sea level reduced the daily availability of freshwater supply to a coastal municipal intake by 4% and 12% of the time, respectively. Future climate change projections by a global circulation model showed a seasonal change in salinity intrusion events from the summer to the fall for the majority of events.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated environmental modelling to solve real world problems: Methods, vision and challenges","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP408.8","usgsCitation":"Conrads, P., and Edwin Roehl, J., 2017, The use of data-mining techniques for developing effective decisionsupport systems: A case study of simulating the effects ofclimate change on coastal salinity intrusion, chap. of Integrated environmental modelling to solve real world problems: Methods, vision and challenges, p. 222-234, https://doi.org/10.1144/SP408.8.","productDescription":"13 p.","startPage":"222","endPage":"234","ipdsId":"IP-042501","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":340987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.2548828125,\n 32.48196313217176\n ],\n [\n -81.15600585937499,\n 32.37996146435729\n ],\n [\n -81.123046875,\n 32.25926542645933\n ],\n [\n -81.05712890625,\n 32.045332838858506\n ],\n [\n -80.9912109375,\n 31.93351676190369\n ],\n [\n -80.804443359375,\n 31.85889704445453\n ],\n [\n -80.5517578125,\n 32.12910537866883\n ],\n [\n -80.299072265625,\n 32.33355894864106\n ],\n [\n -80.068359375,\n 32.47269502206151\n ],\n [\n -79.716796875,\n 32.58384932565662\n ],\n [\n -79.4970703125,\n 32.76880048488168\n ],\n [\n -79.07958984375,\n 32.98102014898148\n ],\n [\n -79.013671875,\n 33.201924189778936\n ],\n [\n -78.848876953125,\n 33.422272258866045\n ],\n [\n -78.717041015625,\n 33.62376800118811\n ],\n [\n -78.33251953125,\n 33.715201644740844\n ],\n [\n -78.870849609375,\n 34.14363482031264\n ],\n [\n -79.1015625,\n 34.05265942137599\n ],\n [\n -79.552001953125,\n 33.76088200086917\n ],\n [\n -79.771728515625,\n 33.38558626887102\n ],\n [\n -80.1123046875,\n 33.128351191631566\n ],\n [\n -80.694580078125,\n 32.88881315761995\n ],\n [\n -81.2548828125,\n 32.48196313217176\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-16","publicationStatus":"PW","scienceBaseUri":"5912d537e4b0e541a03d4521","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":694578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwin Roehl, Jr.","contributorId":191874,"corporation":false,"usgs":false,"family":"Edwin Roehl","given":"Jr.","affiliations":[],"preferred":false,"id":694579,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70180363,"text":"70180363 - 2017 - Storms, channel changes, and a sediment budget for an urban-suburban stream, Difficult Run, Virginia, USA","interactions":[],"lastModifiedDate":"2017-01-30T09:58:17","indexId":"70180363","displayToPublicDate":"2017-01-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Storms, channel changes, and a sediment budget for an urban-suburban stream, Difficult Run, Virginia, USA","docAbstract":"Determining erosion and deposition rates in urban-suburban settings and how these processes are affected by large storms is important to understanding geomorphic processes in these landscapes. Sediment yields in the suburban and urban Upper Difficult Run are among the highest ever recorded in the Chesapeake Bay watershed, ranging from 161 to 376 Mg/km2/y. Erosion and deposition of streambanks, channel bed, and bars and deposition of floodplains were monitored between 1 March 2010 and 18 January 2013 in Upper Difficult Run, Virginia, USA. We documented the effects of two large storms, Tropical Storm Lee (September 2011), a 100-year event, and Super Storm Sandy (October 2012) a 5-year event, on channel erosion and deposition. Variability in erosion and deposition rates for all geomorphic features, temporally and spatially, are important conclusions of this study. Tropical Storm Lee was an erosive event, where erosion occurred on 82% of all streambanks and where 88% of streambanks that were aggrading before Tropical Storm Lee became erosional. Statistical analysis indicated that drainage area explains linear changes (cm/y) in eroding streambanks and that channel top width explains cross-sectional area changes (cm2/y) in eroding streambanks and floodplain deposition (mm/y). A quasi-sediment budget constructed for the study period using the streambanks, channel bed, channel bars, and floodplain measurements underestimated the measured suspended-sediment load by 61% (2130 Mg/y). Underestimation of the sediment load may be caused by measurement errors and to contributions from upland sediment sources, which were not measured but estimated at 36% of the gross input of sediment. Eroding streambanks contributed 42% of the gross input of sediment and accounted for 70% of the measured suspended-sediment load. Similar to other urban watersheds, the large percentage of impervious area in Difficult Run and direct runoff of precipitation leads to increased streamflow and streambank erosion. This study emphasizes the importance of streambanks in urban-suburban sediment budgets but also suggests that other sediment sources, such as upland sources, which were not measured in this study, can be an important source of sediment.
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Co.","publisherLocation":"New York, NY","doi":"10.1016/j.geomorph.2016.10.031","usgsCitation":"Gellis, A.C., Myers, M., Noe, G.E., Hupp, C.R., Shenk, E., and Myers, L., 2017, Storms, channel changes, and a sediment budget for an urban-suburban stream, Difficult Run, Virginia, USA: Geomorphology, v. 278, https://doi.org/10.1016/j.geomorph.2016.10.031.","productDescription":"21 p.","endPage":"128","numberOfPages":"148","ipdsId":"IP-079566","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":470112,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2016.10.031","text":"Publisher Index Page"},{"id":334286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.370833,\n 38.9\n ],\n [\n -77.370833,\n 38.833333\n ],\n [\n -77.319444,\n 38.833333\n ],\n [\n -77.319444,\n 38.9\n ],\n [\n -77.370833,\n 38.9\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"278","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58905eefe4b072a7ac0cad2d","chorus":{"doi":"10.1016/j.geomorph.2016.10.031","url":"http://dx.doi.org/10.1016/j.geomorph.2016.10.031","publisher":"Elsevier BV","authors":"Gellis A.C., Myers M.K., Noe G.B., Hupp C.R., Schenk E.R., Myers L.","journalName":"Geomorphology","publicationDate":"2/2017"},"contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":172245,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":661382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Michael mkmyers@usgs.gov","contributorId":178860,"corporation":false,"usgs":true,"family":"Myers","given":"Michael","email":"mkmyers@usgs.gov","affiliations":[],"preferred":true,"id":661383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":661384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":661385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shenk, Edward","contributorId":178861,"corporation":false,"usgs":false,"family":"Shenk","given":"Edward","email":"","affiliations":[],"preferred":false,"id":661386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Myers, Luke lmyers@usgs.gov","contributorId":5758,"corporation":false,"usgs":true,"family":"Myers","given":"Luke","email":"lmyers@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661387,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70180375,"text":"70180375 - 2017 - Glaciological measurements and mass balances from Sperry Glacier, Montana, USA, years 2005–2015","interactions":[],"lastModifiedDate":"2017-01-30T10:47:44","indexId":"70180375","displayToPublicDate":"2017-01-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Glaciological measurements and mass balances from Sperry Glacier, Montana, USA, years 2005–2015","docAbstract":"Glacier mass balance measurements help to provide an understanding of the behavior of glaciers and their response to local and regional climate. In 2005 the United States Geological Survey established a surface mass balance monitoring program on Sperry Glacier, Montana, USA. This project is the first quantitative study of mass changes of a glacier in the US northern Rocky Mountains and continues to the present. The following paper describes the methods used during the first 11 years of measurements and reports the associated results. From 2005 to 2015, Sperry Glacier had a cumulative mean mass balance loss of 4.37 m w.e. (water equivalent). The mean winter, summer, and annual glacier-wide mass balances were 2.92, −3.41, and −0.40 m w.e. yr−1 respectively. We derive these cumulative and mean results from an expansive data set of snow depth, snow density, and ablation measurements taken at selected points on the glacier. These data allow for the determination of mass balance point values and a time series of seasonal and annual glacier-wide mass balances for all 11 measurement years. We also provide measurements of glacier extent and accumulation areas for select years. All data have been submitted to the World Glacier Monitoring Service and are available at doi:10.5904/wgms-fog-2016-08. This foundational work provides valuable insight about Sperry Glacier and supplies additional data to the worldwide record of glaciers measured using the glaciological method. Future research will focus on the processes that control accumulation and ablation patterns across the glacier. Also we plan to examine the uncertainties related to our methods and eventually quantify a more robust estimate of error associated with our results.
","language":"English","publisher":"Copernicus","publisherLocation":"Katlenberg-Lindau, Germany","doi":"10.5194/essd-9-47-2017","usgsCitation":"Clark, A., Fagre, D.B., Peitzsch, E.H., Reardon, B.A., and Harper, J.T., 2017, Glaciological measurements and mass balances from Sperry Glacier, Montana, USA, years 2005–2015: Earth System Science Data, v. 9, p. 47-61, https://doi.org/10.5194/essd-9-47-2017.","productDescription":"15 p.","startPage":"47","endPage":"61","ipdsId":"IP-078667","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-9-47-2017","text":"Publisher Index Page"},{"id":334294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Sperry Glacier","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.77098083496094,\n 48.613618785872504\n ],\n [\n -113.77098083496094,\n 48.63693581952899\n ],\n [\n -113.74583244323729,\n 48.63693581952899\n ],\n [\n -113.74583244323729,\n 48.613618785872504\n ],\n [\n -113.77098083496094,\n 48.613618785872504\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-23","publicationStatus":"PW","scienceBaseUri":"58905eefe4b072a7ac0cad2b","contributors":{"authors":[{"text":"Clark, Adam 0000-0002-8863-1434 amclark@usgs.gov","orcid":"https://orcid.org/0000-0002-8863-1434","contributorId":177529,"corporation":false,"usgs":true,"family":"Clark","given":"Adam","email":"amclark@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":661436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":661437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455 epeitzsch@usgs.gov","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":3786,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","email":"epeitzsch@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":661438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reardon, Blase A.","contributorId":178872,"corporation":false,"usgs":false,"family":"Reardon","given":"Blase","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":661550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, Joel T.","contributorId":173392,"corporation":false,"usgs":false,"family":"Harper","given":"Joel","email":"","middleInitial":"T.","affiliations":[{"id":16951,"text":"Department of Geosciences, University of Montana, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":661440,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70180397,"text":"70180397 - 2017 - Impacts of mangrove density on surface sediment accretion, belowground biomass and biogeochemistry in Puttalam Lagoon, Sri Lanka","interactions":[],"lastModifiedDate":"2019-12-14T07:23:55","indexId":"70180397","displayToPublicDate":"2017-01-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of mangrove density on surface sediment accretion, belowground biomass and biogeochemistry in Puttalam Lagoon, Sri Lanka","docAbstract":"Understanding the effects of seedling density on sediment accretion, biogeochemistry and belowground biomass in mangrove systems can help explain ecological functioning and inform appropriate planting densities during restoration or climate change mitigation programs. The objectives of this study were to examine: 1) impacts of mangrove seedling density on surface sediment accretion, texture, belowground biomass and biogeochemistry, and 2) origins of the carbon (C) supplied to the mangroves in Palakuda, Puttalam Lagoon, Sri Lanka. Rhizophora mucronata propagules were planted at densities of 6.96, 3.26, 1.93 and 0.95 seedlings m−2along with an unplanted control (0 seedlings m−2). The highest seedling density generally had higher sediment accretion rates, finer sediments, higher belowground biomass, greatest number of fine roots and highest concentrations of C and nitrogen (N) (and the lowest C/N ratio). Sediment accretion rates, belowground biomass (over 1370 days), and C and N concentrations differed significantly between seedling densities. Fine roots were significantly greater compared to medium and coarse roots across all plantation densities. Sulphur and carbon stable isotopes did not vary significantly between different density treatments. Isotope signatures suggest surface sediment C (to a depth of 1 cm) is not derived predominantly from the trees, but from seagrass adjacent to the site.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-017-0883-7","usgsCitation":"Phillips, D., Kumara, M., Jayatissa, L., Krauss, K.W., and Huxham, M., 2017, Impacts of mangrove density on surface sediment accretion, belowground biomass and biogeochemistry in Puttalam Lagoon, Sri Lanka: Wetlands, v. 37, no. 3, p. 471-483, https://doi.org/10.1007/s13157-017-0883-7.","productDescription":"13 p.","startPage":"471","endPage":"483","ipdsId":"IP-061135","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470113,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.qub.ac.uk/en/publications/78a51828-490b-4f6c-be15-08c7f4fe4abd","text":"External Repository"},{"id":334298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Sri Lanka","otherGeospatial":"Puttalam Lagoon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 79.62890625,\n 7.297087564172005\n ],\n [\n 79.9639892578125,\n 7.280741242677959\n ],\n [\n 80.7275390625,\n 9.481572085088517\n ],\n [\n 80.26611328125,\n 9.903921416774978\n ],\n [\n 79.5904541015625,\n 9.61699822032795\n ],\n [\n 79.9090576171875,\n 9.123792057073985\n ],\n [\n 79.5355224609375,\n 9.145486056167277\n ],\n [\n 79.8321533203125,\n 8.733077421211563\n ],\n [\n 79.661865234375,\n 8.249546418605748\n ],\n [\n 79.62890625,\n 7.297087564172005\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-29","publicationStatus":"PW","scienceBaseUri":"58905eeee4b072a7ac0cad29","contributors":{"authors":[{"text":"Phillips, D.H.","contributorId":178910,"corporation":false,"usgs":false,"family":"Phillips","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":661552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumara, M.P.","contributorId":178911,"corporation":false,"usgs":false,"family":"Kumara","given":"M.P.","affiliations":[],"preferred":false,"id":661553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jayatissa, L.P.","contributorId":178912,"corporation":false,"usgs":false,"family":"Jayatissa","given":"L.P.","affiliations":[],"preferred":false,"id":661554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":661551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huxham, M.","contributorId":178913,"corporation":false,"usgs":false,"family":"Huxham","given":"M.","affiliations":[],"preferred":false,"id":661555,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179741,"text":"ofr20171004 - 2017 - Preliminary evaluation of the behavior and movements of adult spring Chinook salmon in the Chehalis River, southwestern Washington, 2014","interactions":[],"lastModifiedDate":"2017-01-31T09:41:48","indexId":"ofr20171004","displayToPublicDate":"2017-01-30T00:00:00","publicationYear":"2017","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":"2017-1004","title":"Preliminary evaluation of the behavior and movements of adult spring Chinook salmon in the Chehalis River, southwestern Washington, 2014","docAbstract":"Recent interest in flood control and restoration strategies in the Chehalis River Basin has increased the need to understand the current status and ecology of spring Chinook salmon (Oncorhynchus tshawytscha). Spring Chinook salmon have the longest exposure of all adult Chinook salmon life histories to the low-flow and high water temperature conditions that typically occur during summer. About 100 adult spring Chinook salmon were found dead in the Chehalis River in July and August 2009. Adult Chinook salmon are known to hold in cool-water refugia during warm summer months, but the extent to which spring Chinook salmon might use thermal refugia in the Chehalis River is unknown. A preliminary evaluation of the movements and temperature exposures of adult spring Chinook salmon following their return to the Chehalis River was conducted using radiotelemetry and transmitters equipped with temperature sensors. A total of 12 spring Chinook salmon were captured, radio-tagged, and released in the main-stem Chehalis River between May and late June 2014. Tagged fish were monitored from freshwater entry through the spawning period using a combination of fixedsite monitoring locations and mobile tracking.
Water temperature and flow conditions in the main-stem Chehalis River during 2014 were atypical compared to historical averages. Mean monthly water temperatures between March and August 2014 were higher than any decade since 1960 and mean monthly discharge was 90–206 percent of the discharge in previous years. Overall, 92 percent of the tagged fish were detected, with a mean of 102 d in the detection history of tagged fish. Seven tagged fish (58 percent) moved upstream, either shortly after release (5–8 d, 57 percent), or within about a month (34–35 d, 29 percent). One fish (14 percent) remained near the release location for 98 d before moving upstream. The final fates for the seven fish that moved upstream following release included six fish that were assigned a fate of spawner and one fish with an unknown fate. Tagged fish showed limited movements during the peak water temperatures in July and August, and were not frequently detected at sites where water temperatures exceeded 21 °C. The mouths of the Skookumchuck and Newaukum Rivers were commonly used by tagged fish for extended periods during peak water temperatures and study fish with a fate of spawner were last detected in these tributaries.
This pilot study represents a substantial contribution to the understanding of spring Chinook salmon in the Chehalis River Basin, and provides information for the design and execution of future evaluations. The water temperatures and flow conditions during the 2014 study period were not typical of the historical conditions in the basin and the numbers of tagged fish monitored was relatively low, so results should be interpreted with those cautions in mind.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171004","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife","usgsCitation":"Liedtke, T.L., Hurst, W.R., Tomka, R.G., Kock, T.J., and Zimmerman, M.S., 2017, Preliminary evaluation of the behavior and movements of adult spring Chinook salmon in the Chehalis River, southwestern Washington, 2014: U.S. Geological Survey Open-File Report 2017-1004, 35 p., https://doi.org/10.3133/ofr20171004.","productDescription":"iv, 35 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-081406","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":334359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1004/coverthb.jpg"},{"id":334360,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1004/ofr20171004.pdf","text":"Report","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1004"}],"country":"United States","state":"Washington","otherGeospatial":"Chehalis River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.86810302734375,\n 46.479482189368646\n ],\n [\n -123.86810302734375,\n 47.05\n ],\n [\n -123,\n 47.05\n ],\n [\n -123,\n 46.479482189368646\n ],\n [\n -123.86810302734375,\n 46.479482189368646\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
The U.S. Geological Survey (USGS) Landslide Hazards Program conducts landslide hazard assessments, pursues landslide investigations and forecasts, provides technical assistance to respond to landslide emergencies, and engages in outreach. All of these activities benefit from the availability of high-resolution, three-dimensional (3D) elevation information in the form of light detection and ranging (lidar) data and interferometric synthetic aperture radar (IfSAR) data. Research on landslide processes addresses critical questions of where and when landslides are likely to occur as well as their size, speed, and effects. This understanding informs the development of methods and tools for hazard assessment and situational awareness used to guide efforts to avoid or mitigate landslide impacts. Such research is essential for the USGS to provide improved information on landslide potential associated with severe storms, earthquakes, volcanic activity, coastal wave erosion, and wildfire burn areas.
Decisionmakers in government and the private sector increasingly depend on information the USGS provides before, during, and following disasters so that communities can live, work, travel, and build safely. The USGS 3D Elevation Program (3DEP) provides the programmatic infrastructure to generate and supply lidar-derived superior terrain data to address landslide applications and a wide range of other urgent needs nationwide. By providing data to users, 3DEP reduces users’ costs and risks and allows them to concentrate on their mission objectives. 3DEP includes (1) data acquisition partnerships that leverage funding, (2) contracts with experienced private mapping firms, (3) technical expertise, lidar data standards, and specifications, and (4) most important, public access to high-quality 3D elevation data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163094","usgsCitation":"Lukas, Vicki, and Carswell, W.J., Jr., 2017, The 3D Elevation Program—Landslide recognition, hazard assessment, and mitigation support: U.S. Geological Survey Fact Sheet 2016–3094, 2 p., https://doi.org/10.3133/fs20163094.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073045","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":333830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3094/coverthb.jpg"},{"id":333831,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3094/fs20163094.pdf","text":"Report","size":"643 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3094"}],"contact":"Director, National Geospatial Program
U.S. Geological Survey
511 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Email: 3dep@usgs.gov
http://www.usgs.gov/ngpo/
http://nationalmap.gov/3DEP/
Forecasts of flows entering and leaving the Chain of Lakes reservoir on the Fox River in northeastern Illinois are critical information to water-resource managers who determine the optimal operation of the dam at McHenry, Illinois, to help minimize damages to property and loss of life because of flooding on the Fox River. In 2014, the U.S. Geological Survey; the Illinois Department of Natural Resources, Office of Water Resources; and National Weather Service, North Central River Forecast Center began a cooperative study to develop a system to enable engineers and planners to simulate and communicate flows and to prepare proactively for precipitation events in near real time in the upper Fox River watershed. The purpose of this report is to document the development and evaluation of the Chain of Lakes reservoir model developed in this study.
The reservoir model for the Chain of Lakes was developed using the Hydrologic Engineering Center–Reservoir System Simulation program. Because of the complex relation between the dam headwater and reservoir pool elevations, the reservoir model uses a linear regression model that relates dam headwater elevation to reservoir pool elevation. The linear regression model was developed using 17 U.S. Geological Survey streamflow measurements, along with the gage height in the reservoir pool and the gage height at the dam headwater. The Nash-Sutcliffe model efficiency coefficients for all three linear regression model variables ranged from 0.90 to 0.98.
The reservoir model performance was evaluated by graphically comparing simulated and observed reservoir pool elevation time series during nine periods of high pool elevation. In addition, the peak elevations during these time periods were graphically compared to the closest-in-time observed pool elevation peak. The mean difference in the simulated and observed peak elevations was -0.03 feet, with a standard deviation of 0.19 feet. The Nash-Sutcliffe coefficient for peak prediction was calculated as 0.94. Evaluation of the model based on accuracy of peak prediction and the ability to simulate an elevation time series showed the performance of the model was satisfactory.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165155","collaboration":"Prepared in cooperation with the llinois Department of Natural Resources and the National Weather Service","usgsCitation":"Domanski, M.M., 2017, Development and evaluation of a reservoir model for the Chain of Lakes in Illinois: U.S. Geological Survey Scientific Investigations Report 2016–5155, 21 p., https://doi.org/10.3133/sir20165155.","productDescription":"viii, 21 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-074336","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":334088,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5155/coverthb.jpg"},{"id":334089,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5155/sir20165155.pdf","text":"Report","size":"5.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5155"}],"country":"United States","state":"Illinois","otherGeospatial":"Chain of Lakes, Fox River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.27857971191406,\n 42.293564192170095\n ],\n [\n -88.27857971191406,\n 42.49488409061174\n ],\n [\n -88.10142517089844,\n 42.49488409061174\n ],\n [\n -88.10142517089844,\n 42.293564192170095\n ],\n [\n -88.27857971191406,\n 42.293564192170095\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Illinois Water Science Center
U.S. Geological Survey
405 N. Goodwin
Urbana, IL 61801
http://il.water.usgs.gov/
Despite being common in numerous marine bivalve lineages, lateral spines are extremely rare among freshwater bivalves (Bivalvia: Unionidae), with only three known species characterized by the presence of spines: Elliptio spinosa, Elliptio steinstansana, and Pleurobema collina. All three taxa are endemic to the Atlantic Slope of southeastern North America, critically endangered, and protected by the US Endangered Species Act. Currently, these species are recognized in two genera and remain a source of considerable taxonomic confusion. Because spines are rare in freshwater mussels and restricted to a small region of North America, we hypothesized that spinymussels represent a monophyletic group. We sequenced two mtDNA gene fragments (COI and ND1) and a fragment of the nuclear ITS-1 locus from >70 specimens. Bayesian and maximum-likelihood phylogenetic reconstructions suggest that the spinymussels do not comprise a monophyletic group. Elliptio steinstansana is sister to P. collina, forming a monophyletic clade that was estimated to have diverged from its most recent ancestor in the late Miocene and is distinct from both Elliptio and Pleurobema; we describe a new genus (Parvaspina gen. nov.) to reflect this relationship. Additionally, E. spinosa forms a monophyletic clade that diverged from members of the core Elliptio lineage in the mid-Pliocene. Furthermore, E. spinosa is genetically divergent from the other spinymussel species, suggesting that spines, while extremely rare in freshwater mussels worldwide, may have evolved independently in two bivalve lineages. Recognizing the genetic distinctiveness and inter-generic relationships of the spinymussels is an important first step towards effectively managing these imperiled species and lays the groundwork for future conservation genetics studies.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-017-0924-z","usgsCitation":"Perkins, M.A., Johnson, N.A., and Gangloff, M.M., 2017, Molecular systematics of the critically-endangered North American spinymussels (Unionidae: Elliptio and Pleurobema) and description of Parvaspina gen. nov.: Conservation Genetics, v. 18, no. 4, p. 745-757, https://doi.org/10.1007/s10592-017-0924-z.","productDescription":"13 p.","startPage":"745","endPage":"757","ipdsId":"IP-073624","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":334241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-21","publicationStatus":"PW","scienceBaseUri":"588c6a8de4b08c8121c908fd","contributors":{"authors":[{"text":"Perkins, Michael A.","contributorId":178870,"corporation":false,"usgs":false,"family":"Perkins","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":661434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":661433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangloff, Michael M.","contributorId":178871,"corporation":false,"usgs":false,"family":"Gangloff","given":"Michael","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":661435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180346,"text":"70180346 - 2017 - NDVI, scale invariance and the modifiable areal unit problem: An assessment of vegetation in the Adelaide Parklands","interactions":[],"lastModifiedDate":"2017-01-27T13:53:38","indexId":"70180346","displayToPublicDate":"2017-01-27T00:00:00","publicationYear":"2017","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":"NDVI, scale invariance and the modifiable areal unit problem: An assessment of vegetation in the Adelaide Parklands","docAbstract":"This research addresses the question as to whether or not the Normalised Difference Vegetation Index (NDVI) is scale invariant (i.e. constant over spatial aggregation) for pure pixels of urban vegetation. It has been long recognized that there are issues related to the modifiable areal unit problem (MAUP) pertaining to indices such as NDVI and images at varying spatial resolutions. These issues are relevant to using NDVI values in spatial analyses. We compare two different methods of calculation of a mean NDVI: 1) using pixel values of NDVI within feature/object boundaries and 2) first calculating the mean red and mean near-infrared across all feature pixels and then calculating NDVI. We explore the nature and magnitude of these differences for images taken from two sensors, a 1.24 m resolution WorldView-3 and a 0.1 m resolution digital aerial image. We apply these methods over an urban park located in the Adelaide Parklands of South Australia. We demonstrate that the MAUP is not an issue for calculation of NDVI within a sensor for pure urban vegetation pixels. This may prove useful for future rule-based monitoring of the ecosystem functioning of green infrastructure.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.01.130","usgsCitation":"Nouri, H., Anderson, S., Sutton, P., Beecham, S., Nagler, P.L., Jarchow, C.J., and Roberts, D.A., 2017, NDVI, scale invariance and the modifiable areal unit problem: An assessment of vegetation in the Adelaide Parklands: Science of the Total Environment, v. 584–585, p. 11-18, https://doi.org/10.1016/j.scitotenv.2017.01.130.","productDescription":"8 p.","startPage":"11","endPage":"18","ipdsId":"IP-070001","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":334208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Adelaide Parklands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 138.60041499137878,\n -34.93567549371307\n ],\n [\n 138.59442830085752,\n -34.93597453850782\n ],\n [\n 138.5945463180542,\n -34.93783035094391\n ],\n [\n 138.60064029693604,\n -34.93749613189923\n ],\n [\n 138.60041499137878,\n -34.93567549371307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"584–585","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588c6a8de4b08c8121c90900","contributors":{"authors":[{"text":"Nouri, Hamideh","contributorId":178847,"corporation":false,"usgs":false,"family":"Nouri","given":"Hamideh","affiliations":[],"preferred":false,"id":661308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Sharolyn","contributorId":178848,"corporation":false,"usgs":false,"family":"Anderson","given":"Sharolyn","email":"","affiliations":[],"preferred":false,"id":661309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, Paul","contributorId":172387,"corporation":false,"usgs":false,"family":"Sutton","given":"Paul","email":"","affiliations":[{"id":27030,"text":"School of Natural and Built Environments, University of South Australia, Adelaide, SA","active":true,"usgs":false}],"preferred":false,"id":661310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beecham, Simon","contributorId":178849,"corporation":false,"usgs":false,"family":"Beecham","given":"Simon","email":"","affiliations":[],"preferred":false,"id":661311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":661307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarchow, Christopher J. 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":5813,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":661313,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":661312,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70180312,"text":"70180312 - 2017 - Microbially mediated barite dissolution in anoxic brines ","interactions":[],"lastModifiedDate":"2017-01-27T09:55:02","indexId":"70180312","displayToPublicDate":"2017-01-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Microbially mediated barite dissolution in anoxic brines ","docAbstract":"Fluids injected into shale formations during hydraulic fracturing of black shale return with extraordinarily high total-dissolved-solids (TDS) and high concentrations of barium (Ba) and radium (Ra). Barite, BaSO4, has been implicated as a possible source of Ba as well as a problematic mineral scale that forms on internal well surfaces, often in close association with radiobarite, (Ba,Ra)SO4. The dissolution of barite by abiotic processes is well quantified. However, the identification of microbial communities in flowback and produced water necessitates the need to understand barite dissolution in the presence of bacteria. Therefore, we evaluated the rates and mechanisms of abiotic and microbially-mediated barite dissolution under anoxic and hypersaline conditions in the laboratory. Barite dissolution experiments were conducted with bacterial enrichment cultures established from produced water from Marcellus Shale wells located in northcentral Pennsylvania. These cultures were dominated by anaerobic halophilic bacteria from the genus Halanaerobium. Dissolved Ba was determined by ICP-OES and barite surfaces were investigated by SEM and AFM. Our results reveal that: 1) higher amounts of barium (up to ∼5 × ) are released from barite in the presence of Halanaerobium cultures compared to brine controls after 30 days of reaction, 2) etch pits that develop on the barite (001) surface in the presence of Halanaerobium exhibit a morphology that is distinct from those that form during control experiments without bacteria, 3) etch pits that develop in the presence of Halanaerobium exhibit a morphology that is similar to the morphology of etch pits formed in the presence of strong organic chelators, EDTA and DTPA, and 4) experiments using dialysis membranes to separate barite from bacteria suggest that direct contact between the two is not required in order to promote dissolution. These results suggest that Halanaerobium increase the rate of barite dissolution in anoxic and high ionic strength solutions. Additionally, the increase in rate occurs without direct microbe-mineral contact suggesting that metabolites secreted by the bacteria may be responsible for promotion of dissolution. The findings of this study have implications for understanding barium cycling in marine/hypersaline environments, release of barium (and associated radium) from waste solids generated from energy and mining industries, as well as potential for developing new anti-scaling chemicals.
","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"Oxford","doi":"10.1016/j.apgeochem.2016.11.008","usgsCitation":"Ouyang, B., Akob, D.M., Dunlap, D.S., and Renock, D., 2017, Microbially mediated barite dissolution in anoxic brines : Applied Geochemistry, v. 76, p. 51-59, https://doi.org/10.1016/j.apgeochem.2016.11.008.","productDescription":"9 p.","startPage":"51","endPage":"59","ipdsId":"IP-080161","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470114,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2016.11.008","text":"Publisher Index Page"},{"id":334134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588c6a8de4b08c8121c90902","contributors":{"authors":[{"text":"Ouyang, Bingjie","contributorId":178822,"corporation":false,"usgs":false,"family":"Ouyang","given":"Bingjie","email":"","affiliations":[],"preferred":false,"id":661182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":661180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunlap, Darren S. 0000-0001-5595-6817 ddunlap@usgs.gov","orcid":"https://orcid.org/0000-0001-5595-6817","contributorId":5260,"corporation":false,"usgs":true,"family":"Dunlap","given":"Darren","email":"ddunlap@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":661183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Renock, Devon","contributorId":178821,"corporation":false,"usgs":false,"family":"Renock","given":"Devon","email":"","affiliations":[],"preferred":false,"id":661181,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70180310,"text":"70180310 - 2017 - Depositional environment and organic matter accumulation of Upper Ordovician–Lower Silurian marine shale in the Upper Yangtze Platform, South China","interactions":[],"lastModifiedDate":"2017-01-27T08:48:38","indexId":"70180310","displayToPublicDate":"2017-01-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Depositional environment and organic matter accumulation of Upper Ordovician–Lower Silurian marine shale in the Upper Yangtze Platform, South China","docAbstract":"The main controlling factors of organic matter accumulation in the Upper Ordovician Wufeng–Lower Silurian Longmaxi Formations are complex and remain highly controversial. This study investigates the vertical variation of total organic carbon (TOC) content as well as major and trace element concentrations of four Ordovician–Silurian transition sections from the Upper Yangtze Platform of South China to reconstruct the paleoenvironment of these deposits and to improve our understanding of those factors that have influenced organic matter accumulation in these deposits.
The residual TOC content of the Wufeng Formation averages 3.2% and ranges from 0.12 to 6.0%. The overlying lower Longmaxi Formation displays higher TOC content (avg. 4.4%), followed upsection by consistent and lower values that average 1.6% in the upper Longmaxi Formation. The concentration and covariation of redox-sensitive trace elements (Mo, U and V) suggest that organic-rich intervals of the Wufeng Formation accumulated under predominantly anoxic conditions. Organic-rich horizons of the lower Longmaxi Formation were deposited under strongly anoxic to euxinic conditions, whereas organic-poor intervals of the upper Longmaxi Formation accumulated under suboxic conditions. Positive correlations between redox proxies and TOC contents suggest that organic matter accumulation was predominantly controlled by preservation. Barium excess (Baxs) values indicate high paleoproductivity throughout the entire depositional sequence, with an increase in the lower Longmaxi Formation. Increased productivity may have been induced by enhanced P recycling, as evidenced by elevated Corg/Ptot ratios. Mo–U covariation and Mo/TOC values reveal that the Wufeng Formation was deposited under extremely restricted conditions, whereas the Longmaxi Formation accumulated under moderately restricted conditions. During the Late Ordovician, the extremely restricted nature of ocean circulation on the Upper Yangtze Platform in tandem with enhanced stratification of the water column promoted anoxic conditions favorable for the preservation of organic matter. During Early Silurian time, organic matter accumulation was principally controlled by changes in sea level, which affected terrigenous flux, redox conditions, and the degree of nutrition recycling.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.palaeo.2016.11.037","usgsCitation":"Li, Y., Zhang, T., Ellis, G.S., and Shao, D., 2017, Depositional environment and organic matter accumulation of Upper Ordovician–Lower Silurian marine shale in the Upper Yangtze Platform, South China: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 466, p. 252-264, https://doi.org/10.1016/j.palaeo.2016.11.037.","productDescription":"15 p.","startPage":"252","endPage":"264","ipdsId":"IP-073286","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":334124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Upper Yangtze Platform","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 102,\n 26.5\n ],\n [\n 102,\n 33\n ],\n [\n 110,\n 33\n ],\n [\n 110,\n 26.5\n ],\n [\n 102,\n 26.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"466","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588c6a8ee4b08c8121c90906","contributors":{"authors":[{"text":"Li, Yangfang","contributorId":178816,"corporation":false,"usgs":false,"family":"Li","given":"Yangfang","email":"","affiliations":[],"preferred":false,"id":661164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":661155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":661152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shao, Deyong","contributorId":178817,"corporation":false,"usgs":false,"family":"Shao","given":"Deyong","email":"","affiliations":[],"preferred":false,"id":661154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70180311,"text":"70180311 - 2017 - Development of a coupled wave-flow-vegetation interaction model","interactions":[],"lastModifiedDate":"2018-02-07T19:04:20","indexId":"70180311","displayToPublicDate":"2017-01-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Development of a coupled wave-flow-vegetation interaction model","docAbstract":"Emergent and submerged vegetation can significantly affect coastal hydrodynamics. However, most deterministic numerical models do not take into account their influence on currents, waves, and turbulence. In this paper, we describe the implementation of a wave-flow-vegetation module into a Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system that includes a flow model (ROMS) and a wave model (SWAN), and illustrate various interacting processes using an idealized shallow basin application. The flow model has been modified to include plant posture-dependent three-dimensional drag, in-canopy wave-induced streaming, and production of turbulent kinetic energy and enstrophy to parameterize vertical mixing. The coupling framework has been updated to exchange vegetation-related variables between the flow model and the wave model to account for wave energy dissipation due to vegetation. This study i) demonstrates the validity of the plant posture-dependent drag parameterization against field measurements, ii) shows that the model is capable of reproducing the mean and turbulent flow field in the presence of vegetation as compared to various laboratory experiments, iii) provides insight into the flow-vegetation interaction through an analysis of the terms in the momentum balance, iv) describes the influence of a submerged vegetation patch on tidal currents and waves separately and combined, and v) proposes future directions for research and development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2016.12.010","usgsCitation":"Beudin, A., Kalra, T., Ganju, N.K., and Warner, J., 2017, Development of a coupled wave-flow-vegetation interaction model: Computers & Geosciences, v. 100, p. 76-86, https://doi.org/10.1016/j.cageo.2016.12.010.","productDescription":"11 p.","startPage":"76","endPage":"86","ipdsId":"IP-074584","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470115,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2016.12.010","text":"Publisher Index Page"},{"id":334142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588c6a8de4b08c8121c90904","contributors":{"authors":[{"text":"Beudin, Alexis 0000-0001-9525-9450 abeudin@usgs.gov","orcid":"https://orcid.org/0000-0001-9525-9450","contributorId":178819,"corporation":false,"usgs":true,"family":"Beudin","given":"Alexis","email":"abeudin@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":661176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalra, Tarandeep S. 0000-0001-5468-248X tkalra@usgs.gov","orcid":"https://orcid.org/0000-0001-5468-248X","contributorId":178820,"corporation":false,"usgs":true,"family":"Kalra","given":"Tarandeep S.","email":"tkalra@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":661179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":174763,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":661177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":661178,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178110,"text":"sir20165159 - 2017 - Hydrologic and hydraulic analyses of Great Meadow wetland, Acadia National Park, Maine","interactions":[],"lastModifiedDate":"2017-01-26T14:12:01","indexId":"sir20165159","displayToPublicDate":"2017-01-26T14:30:00","publicationYear":"2017","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":"2016-5159","title":"Hydrologic and hydraulic analyses of Great Meadow wetland, Acadia National Park, Maine","docAbstract":"The U.S. Geological Survey completed hydrologic and hydraulic analyses of Cromwell Brook and the Sieur de Monts tributary in Acadia National Park, Maine, to better understand causes of flooding in complex hydrologic and hydraulic environments, like those in the Great Meadow wetland and Sieur de Monts Spring area. Regional regression equations were used to compute peak flows with from 2 to 100-year recurrence intervals at seven locations. Light detection and ranging data were adjusted for bias caused by dense vegetation in the Great Meadow wetland; and then combined with local ground surveys used to define the underwater topography and hydraulic structures in the study area. Hydraulic modeling was used to evaluate flood response in the study area to a variety of hydrologic and hydraulic scenarios.
Hydraulic modeling indicates that enlarging the culvert at Park Loop Road could help mitigate flooding near the Sieur de Monts Nature Center that is caused by streamflows with large recurrence intervals; however, hydraulic modeling also indicates that the Park Loop Road culvert does not aggravate flooding near the Nature Center caused by the more frequent high intensity rainstorms. That flooding is likely associated with overland flow resulting from (1) quick runoff from the steep Dorr Mountain hitting the lower gradient Great Meadow wetland area and (2) poor drainage aggravated by beaver dams holding water in the wetland.
Rapid geomorphic assessment data collected in June 2015 and again in April 2016 indicate that Cromwell Brook has evidence of aggradation, degradation, and channel widening throughout the drainage basin. Two of five reference cross sections developed for this report also indicate channel aggradation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165159","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Lombard, P.J., 2017, Hydrologic and hydraulic analyses of Great Meadow wetland, Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2016–5159, 39 p., https://doi.org/10.3133/sir20165159.","productDescription":"viii, 39 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-077064","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":333754,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5159/sir20165159.pdf","text":"Report","size":"7.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5159"},{"id":333753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5159/coverthb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Acadia National Park, Mount Desert Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.43795776367188,\n 44.22158376545796\n ],\n [\n -68.43795776367188,\n 44.44554600843547\n ],\n [\n -68.16329956054688,\n 44.44554600843547\n ],\n [\n -68.16329956054688,\n 44.22158376545796\n ],\n [\n -68.43795776367188,\n 44.22158376545796\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
196 Whitten Road
Augusta, ME 04330
Or visit our Web site at:
http://newengland.water.usgs.gov
The U.S. Geological Survey (USGS) has made significant progress toward the rapid estimation of shaking and shakingrelated losses through their Did You Feel It? (DYFI), ShakeMap, ShakeCast, and PAGER products. However, quantitative estimates of the extent and severity of secondary hazards (e.g., landsliding, liquefaction) are not currently included in scenarios and real-time post-earthquake products despite their significant contributions to hazard and losses for many events worldwide. We are currently running parallel global statistical models for landslides and liquefaction developed with our collaborators in testing mode, but much work remains in order to operationalize these systems. We are expanding our efforts in this area by not only improving the existing statistical models, but also by (1) exploring more sophisticated, physics-based models where feasible; (2) incorporating uncertainties; and (3) identifying and undertaking research and product development to provide useful landslide and liquefaction estimates and their uncertainties. Although our existing models use standard predictor variables that are accessible globally or regionally, including peak ground motions, topographic slope, and distance to water bodies, we continue to explore readily available proxies for rock and soil strength as well as other susceptibility terms. This work is based on the foundation of an expanding, openly available, case-history database we are compiling along with historical ShakeMaps for each event. The expected outcome of our efforts is a robust set of real-time secondary hazards products that meet the needs of a wide variety of earthquake information users. We describe the available datasets and models, developments currently underway, and anticipated products.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 16th World Conference on Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":" 16th World Conference on Earthquake Engineering","conferenceDate":"January 9-13, 2017","conferenceLocation":"Santiago, Chile","language":"English","publisher":"International Association of Earthquake Engineering","usgsCitation":"Allstadt, K.E., Thompson, E.M., Hearne, M., Nowicki Jessee, M., Zhu, J., Wald, D.J., and Tanyas, H., 2017, Integrating landslide and liquefaction hazard and loss estimates with existing USGS real-time earthquake information products, in Proceedings of the 16th World Conference on Earthquake Engineering, Santiago, Chile, January 9-13, 2017, 13 p.","productDescription":"13 p.","ipdsId":"IP-080338","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344787,"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":"59b76f57e4b08b1644ddfaf4","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":725403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":725404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":725405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowicki Jessee, M. Anna","contributorId":196186,"corporation":false,"usgs":false,"family":"Nowicki Jessee","given":"M. Anna","affiliations":[],"preferred":false,"id":725406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, J.","contributorId":6289,"corporation":false,"usgs":true,"family":"Zhu","given":"J.","email":"","affiliations":[],"preferred":false,"id":725407,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":725408,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tanyas, Hakan","contributorId":167686,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":707641,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70180250,"text":"70180250 - 2017 - Comparison of climate envelope models developed using expert-selected variables versus statistical selection","interactions":[],"lastModifiedDate":"2017-01-26T13:37:44","indexId":"70180250","displayToPublicDate":"2017-01-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of climate envelope models developed using expert-selected variables versus statistical selection","docAbstract":"Climate envelope models are widely used to describe potential future distribution of species under different climate change scenarios. It is broadly recognized that there are both strengths and limitations to using climate envelope models and that outcomes are sensitive to initial assumptions, inputs, and modeling methods Selection of predictor variables, a central step in modeling, is one of the areas where different techniques can yield varying results. Selection of climate variables to use as predictors is often done using statistical approaches that develop correlations between occurrences and climate data. These approaches have received criticism in that they rely on the statistical properties of the data rather than directly incorporating biological information about species responses to temperature and precipitation. We evaluated and compared models and prediction maps for 15 threatened or endangered species in Florida based on two variable selection techniques: expert opinion and a statistical method. We compared model performance between these two approaches for contemporary predictions, and the spatial correlation, spatial overlap and area predicted for contemporary and future climate predictions. In general, experts identified more variables as being important than the statistical method and there was low overlap in the variable sets (<40%) between the two methods Despite these differences in variable sets (expert versus statistical), models had high performance metrics (>0.9 for area under the curve (AUC) and >0.7 for true skill statistic (TSS). Spatial overlap, which compares the spatial configuration between maps constructed using the different variable selection techniques, was only moderate overall (about 60%), with a great deal of variability across species. Difference in spatial overlap was even greater under future climate projections, indicating additional divergence of model outputs from different variable selection techniques. Our work is in agreement with other studies which have found that for broad-scale species distribution modeling, using statistical methods of variable selection is a useful first step, especially when there is a need to model a large number of species or expert knowledge of the species is limited. Expert input can then be used to refine models that seem unrealistic or for species that experts believe are particularly sensitive to change. It also emphasizes the importance of using multiple models to reduce uncertainty and improve map outputs for conservation planning. Where outputs overlap or show the same direction of change there is greater certainty in the predictions. Areas of disagreement can be used for learning by asking why the models do not agree, and may highlight areas where additional on-the-ground data collection could improve the models.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.11.016","usgsCitation":"Brandt, L.A., Benscoter, A., Harvey, R.G., Speroterra, C., Bucklin, D., Romanach, S.S., Watling, J.I., and Mazzotti, F., 2017, Comparison of climate envelope models developed using expert-selected variables versus statistical selection: Ecological Modelling, v. 345, p. 10-20, https://doi.org/10.1016/j.ecolmodel.2016.11.016.","productDescription":"11 p.","startPage":"10","endPage":"20","ipdsId":"IP-079574","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438442,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J101BT","text":"USGS data release","linkHelpText":"Data for comparison of climate envelope models developed using expert-selected variables versus statistical selection"},{"id":334065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"345","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588b1976e4b0ad67323f97de","contributors":{"authors":[{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":660921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benscoter, Allison 0000-0003-4205-3808 abenscoter@usgs.gov","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":178750,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","email":"abenscoter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":660922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Rebecca G.","contributorId":149719,"corporation":false,"usgs":false,"family":"Harvey","given":"Rebecca","email":"","middleInitial":"G.","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":660923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Speroterra, Carolina","contributorId":178751,"corporation":false,"usgs":false,"family":"Speroterra","given":"Carolina","email":"","affiliations":[],"preferred":false,"id":660924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bucklin, David N.","contributorId":58963,"corporation":false,"usgs":true,"family":"Bucklin","given":"David N.","affiliations":[],"preferred":false,"id":660925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":660920,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watling, James I.","contributorId":175275,"corporation":false,"usgs":false,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[{"id":27555,"text":"John Carroll University","active":true,"usgs":false}],"preferred":false,"id":660926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":660927,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70180266,"text":"70180266 - 2017 - Nutrient processes at the stream-lake interface for a channelized versus unmodified stream mouth","interactions":[],"lastModifiedDate":"2025-05-14T18:36:52.488165","indexId":"70180266","displayToPublicDate":"2017-01-26T00:00:00","publicationYear":"2017","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":"Nutrient processes at the stream-lake interface for a channelized versus unmodified stream mouth","docAbstract":"Inorganic forms of nitrogen and phosphorous impact freshwater lakes by stimulating primary production and affecting water quality and ecosystem health. Communities around the world are motivated to sustain and restore freshwater resources and are interested in processes controlling nutrient inputs. We studied the environment where streams flow into lakes, referred to as the stream-lake interface (SLI), for a channelized and unmodified stream outlet. Channelization is done to protect infrastructure or recreational beach areas. We collected hydraulic and nutrient data for surface water and shallow groundwater in two SLIs to develop conceptual models that describe characteristics that are representative of these hydrologic features. Water, heat, and solute transport models were used to evaluate hydrologic conceptualizations and estimate mean residence times of water in the sediment. A nutrient mass balance model is developed to estimate net rates of adsorption and desorption, mineralization, and nitrification along subsurface flow paths. Results indicate that SLIs are dynamic sources of nutrients to lakes and that the common practice of channelizing the stream at the SLI decreases nutrient concentrations in pore water discharging along the lakeshore. This is in contrast to the unmodified SLI that forms a barrier beach that disconnects the stream from the lake and results in higher nutrient concentrations in pore water discharging to the lake. These results are significant because nutrient delivery through pore water seepage at the lakebed from the natural SLI contributes to nearshore algal communities and produces elevated concentrations of inorganic nutrients in the benthic zone where attached algae grow.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR019538","usgsCitation":"Niswonger, R.G., Naranjo, R.C., Smith, D., Constantz, J., Allander, K.K., Rosenberry, D.O., Neilson, B., Rosen, M.R., and Stonestrom, D.A., 2017, Nutrient processes at the stream-lake interface for a channelized versus unmodified stream mouth: Water Resources Research, v. 53, no. 1, p. 237-256, https://doi.org/10.1002/2016WR019538.","productDescription":"20 p.","startPage":"237","endPage":"256","ipdsId":"IP-077507","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":334057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"588b1976e4b0ad67323f97da","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":152462,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":661003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David 0000-0002-9543-800X","orcid":"https://orcid.org/0000-0002-9543-800X","contributorId":169280,"corporation":false,"usgs":true,"family":"Smith","given":"David","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Constantz, James E. 0000-0002-4062-2096 jconstan@usgs.gov","orcid":"https://orcid.org/0000-0002-4062-2096","contributorId":1962,"corporation":false,"usgs":true,"family":"Constantz","given":"James E.","email":"jconstan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":661006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allander, Kip K. 0000-0002-3317-298X kalland@usgs.gov","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":2290,"corporation":false,"usgs":true,"family":"Allander","given":"Kip","email":"kalland@usgs.gov","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":661008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neilson, Bethany","contributorId":178798,"corporation":false,"usgs":false,"family":"Neilson","given":"Bethany","affiliations":[],"preferred":false,"id":661009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661010,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":661011,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70180260,"text":"70180260 - 2017 - Evaluating mountain meadow groundwater response to Pinyon-Juniper and temperature in a great basin watershed","interactions":[],"lastModifiedDate":"2017-01-27T11:10:10","indexId":"70180260","displayToPublicDate":"2017-01-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating mountain meadow groundwater response to Pinyon-Juniper and temperature in a great basin watershed","docAbstract":"This research highlights development and application of an integrated hydrologic model (GSFLOW) to a semiarid, snow-dominated watershed in the Great Basin to evaluate Pinyon-Juniper (PJ) and temperature controls on mountain meadow shallow groundwater. The work used Google Earth Engine Landsat satellite and gridded climate archives for model evaluation. Model simulations across three decades indicated that the watershed operates on a threshold response to precipitation (P) >400 mm/y to produce a positive yield (P-ET; 9%) resulting in stream discharge and a rebound in meadow groundwater levels during these wetter years. Observed and simulated meadow groundwater response to large P correlates with above average predicted soil moisture and with a normalized difference vegetation index threshold value >0.3. A return to assumed pre-expansion PJ conditions or an increase in temperature to mid-21st century shifts yielded by only ±1% during the multi-decade simulation period; but changes of approximately ±4% occurred during wet years. Changes in annual yield were largely dampened by the spatial and temporal redistribution of evapotranspiration across the watershed: Yet the influence of this redistribution and vegetation structural controls on snowmelt altered recharge to control water table depth in the meadow. Even a small-scale removal of PJ (0.5 km2) proximal to the meadow will promote a stable, shallow groundwater system resilient to droughts, while modest increases in temperature will produce a meadow susceptible to declining water levels and a community structure likely to move toward dry and degraded conditions.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.1792","usgsCitation":"Carroll, R.W., Huntington, J., Snyder, K.A., Niswonger, R.G., Morton, C., and Stringham, T.K., 2017, Evaluating mountain meadow groundwater response to Pinyon-Juniper and temperature in a great basin watershed: Ecohydrology, v. 10, no. 1, p. 1-18, https://doi.org/10.1002/eco.1792.","productDescription":"e1792; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-072881","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.1792","text":"Publisher Index Page"},{"id":334058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin","volume":"10","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-14","publicationStatus":"PW","scienceBaseUri":"588b1976e4b0ad67323f97dc","contributors":{"authors":[{"text":"Carroll, Rosemary W.H.","contributorId":39928,"corporation":false,"usgs":true,"family":"Carroll","given":"Rosemary","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":660972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":660973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Keirith A.","contributorId":178786,"corporation":false,"usgs":false,"family":"Snyder","given":"Keirith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":660974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":152462,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":660975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morton, Charles","contributorId":178787,"corporation":false,"usgs":false,"family":"Morton","given":"Charles","affiliations":[],"preferred":false,"id":660976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stringham, Tamzen K.","contributorId":178788,"corporation":false,"usgs":false,"family":"Stringham","given":"Tamzen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":660977,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188466,"text":"70188466 - 2017 - Apparent late Quaternary fault slip rate increase in the southwestern Lower Rhine Graben, central Europe","interactions":[],"lastModifiedDate":"2017-06-13T11:08:29","indexId":"70188466","displayToPublicDate":"2017-01-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Apparent late Quaternary fault slip rate increase in the southwestern Lower Rhine Graben, central Europe","docAbstract":"In regions of low strain, long earthquake recurrence intervals (104–106 yrs) and erosive processes limit preservation of Quaternary markers suitable for distinguishing whether faults slip at uniform or secularly varying rates. The Lower Rhine graben in the border region of Germany, The Netherlands, and Belgium provides a unique opportunity to explore Quaternary slip‐rate variations in a region of low strain using the basal (2.29±0.29 Ma) and surface (700±80 ka) contacts of the regionally extensive main terrace (“Hauptterrasse”), deposited by the Rhine and Maas Rivers. These surfaces are vertically offset 3–140 m and 0–68 m, respectively, across individual fault strands within a distributed network of northwest‐trending, slow‐slipping (<0.1 mm/yr) normal faults. In this investigation, we construct Quaternary slip histories for the southern Lower Rhine graben faults using new main terrace surface vertical offset measurements made from light detection and ranging (lidar)‐derived bare‐earth digital terrain models, which we synthesize with existing constraints on the offset basal contact of this fluvial deposit (n=91 collocated sites with displacement constraints). We find that >80% of the sites record an apparent increase in slip rate for the more recent interval from 700 ka to present, which corresponds to a period of increased uplift of the nearby Rhenish Massif and regional volcanism. However, the apparent increase in slip rate could result, in part, from erosion of the footwall surface below the main terrace, leading to an apparent displacement that is smaller than the total vertical offset since the start of the Quaternary. Prior work focused on characterization of these faults as seismic sources in the Lower Rhine graben has preferentially relied on the average fault‐slip rate constrained using the base of the main terrace. We suggest that average fault‐slip rates calculated using the ∼700 ka main terrace surface are subjected to fewer uncertainties and sample a time interval that is more relevant for seismic‐hazard analysis.
The United States Northern Great Plains (NGP) has a high potential for landscape-scale conservation, but this grassland landscape is threatened by encroachment of woody species. We surveyed NGP land managers to identify patterns in, and illustrate a broad range of, individual managers' perceptions on (1) the threat of woody encroachment to grasslands they manage, and (2) what management practices they use that may influence woody encroachment in this region. In the 34 surveys returned, which came from predominantly public lands in the study area, 79% of responses reported moderate or substantial woody encroachment. Eastern redcedar (Juniperus virginiana) and Rocky Mountain juniper (Juniperus scopulorum) were the most problematic encroachers. Thirty-one survey respondents said that prescribed fire was used on the lands they manage, and 64% of these responses reported that controlling woody encroachment was a fire management objective. However, only 18% of survey respondents using prescribed fire were achieving their desired fire return interval. Most respondents reported using mechanical and/or chemical methods to control woody species. In contrast to evidence from the central and southern Great Plains, few survey respondents viewed grazing as affecting encroachment. Although the NGP public land managers we surveyed clearly recognize woody encroachment as a problem and are taking steps to address it, many feel that the rate of their management is not keeping pace with the rate of encroachment. Developing strategies for effective woody plant control in a variety of NGP management contexts requires filling ecological science gaps and overcoming societal barriers to using prescribed fire.
","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.037.0114","usgsCitation":"Symstad, A.J., and Leis, S.A., 2017, Woody encroachment in northern Great Plains grasslands: Perceptions, actions, and needs: Natural Areas Journal, v. 37, no. 1, p. 118-127, https://doi.org/10.3375/043.037.0114.","productDescription":"10 p.","startPage":"118","endPage":"127","ipdsId":"IP-064186","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470117,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3375/043.037.0114","text":"Publisher Index Page"},{"id":333905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5889c799e4b0ba3b075e05d5","contributors":{"authors":[{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":660558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leis, Sherry A.","contributorId":178699,"corporation":false,"usgs":false,"family":"Leis","given":"Sherry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":660559,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70181027,"text":"70181027 - 2017 - Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to maximize detection of forested inundation extent in the Delmarva Peninsula, USA","interactions":[],"lastModifiedDate":"2017-02-11T15:47:02","indexId":"70181027","displayToPublicDate":"2017-01-25T00:00:00","publicationYear":"2017","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":"Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to maximize detection of forested inundation extent in the Delmarva Peninsula, USA","docAbstract":"Natural variability in surface-water extent and associated characteristics presents a challenge to gathering timely, accurate information, particularly in environments that are dominated by small and/or forested wetlands. This study mapped inundation extent across the Upper Choptank River Watershed on the Delmarva Peninsula, occurring within both Maryland and Delaware. We integrated six quad-polarized Radarsat-2 images, Worldview-3 imagery, and an enhanced topographic wetness index in a random forest model. Output maps were filtered using light detection and ranging (lidar)-derived depressions to maximize the accuracy of forested inundation extent. Overall accuracy within the integrated and filtered model was 94.3%, with 5.5% and 6.0% errors of omission and commission for inundation, respectively. Accuracy of inundation maps obtained using Radarsat-2 alone were likely detrimentally affected by less than ideal angles of incidence and recent precipitation, but were likely improved by targeting the period between snowmelt and leaf-out for imagery collection. Across the six Radarsat-2 dates, filtering inundation outputs by lidar-derived depressions slightly elevated errors of omission for water (+1.0%), but decreased errors of commission (−7.8%), resulting in an average increase of 5.4% in overall accuracy. Depressions were derived from lidar datasets collected under both dry and average wetness conditions. Although antecedent wetness conditions influenced the abundance and total area mapped as depression, the two versions of the depression datasets showed a similar ability to reduce error in the inundation maps. Accurate mapping of surface water is critical to predicting and monitoring the effect of human-induced change and interannual variability on water quantity and quality.
","language":"English","publisher":"MDPI","doi":"10.3390/rs9020105","usgsCitation":"Vanderhoof, M.K., Distler, H., Mendiola, D.A., and Lang, M., 2017, Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to maximize detection of forested inundation extent in the Delmarva Peninsula, USA: Remote Sensing, v. 9, no. 105, rs9020105; 25 p., https://doi.org/10.3390/rs9020105.","productDescription":"rs9020105; 25 p.","ipdsId":"IP-079678","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":461783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9020105","text":"Publisher Index Page"},{"id":335163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Delmarva Peninsula, Upper Choptank River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.1,\n 38.5\n ],\n [\n -76.1,\n 39.1\n ],\n [\n -75.5,\n 39.1\n ],\n [\n -75.5,\n 38.5\n ],\n [\n -76.1,\n 38.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"105","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-25","publicationStatus":"PW","scienceBaseUri":"589ffecde4b099f50d3e042a","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":663370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Distler, Hayley 0000-0001-5006-1360 hdistler@usgs.gov","orcid":"https://orcid.org/0000-0001-5006-1360","contributorId":179359,"corporation":false,"usgs":true,"family":"Distler","given":"Hayley","email":"hdistler@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":663371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendiola, Di Ana","contributorId":179360,"corporation":false,"usgs":false,"family":"Mendiola","given":"Di","email":"","middleInitial":"Ana","affiliations":[],"preferred":false,"id":663372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":663373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70180168,"text":"70180168 - 2017 - Climate-mediated competition in a high-elevation salamander community","interactions":[],"lastModifiedDate":"2017-01-25T12:34:06","indexId":"70180168","displayToPublicDate":"2017-01-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Climate-mediated competition in a high-elevation salamander community","docAbstract":"The distribution of the federally endangered Shenandoah Salamander (Plethodon shenandoah) is presumed to be limited by competition with the Red-backed Salamander (Plethodon cinereus). In particular, the current distribution of P. shenandoah is understood to be restricted to warmer and drier habitats because of interspecific interactions. These habitats may be particularly sensitive to climate change, though the influence of competition may also be affected by temperature and relative humidity. We investigated the response of P. shenandoah to competition with P. cinereus under four climate scenarios in 3-dimensional mesocosms. The results suggest that, although climate change may alleviate competitive pressure from P. cinereus, warmer temperatures may also significantly influence the persistence of the species across its known range.
","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/15-157","usgsCitation":"Dallalio, E.A., Brand, A.B., and Campbell Grant, E.H., 2017, Climate-mediated competition in a high-elevation salamander community: Journal of Herpetology, v. 51, no. 2, p. 190-196, https://doi.org/10.1670/15-157.","productDescription":"7 p.","startPage":"190","endPage":"196","ipdsId":"IP-075810","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488549,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/7877036","text":"External Repository"},{"id":333902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5889c798e4b0ba3b075e05d1","contributors":{"authors":[{"text":"Dallalio, Eric A.","contributorId":178717,"corporation":false,"usgs":false,"family":"Dallalio","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":660674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":660675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":660593,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180159,"text":"70180159 - 2017 - Enhanced Al and Zn removal from coal-mine drainage during rapid oxidation and precipitation of Fe oxides at near-neutral pH","interactions":[],"lastModifiedDate":"2017-01-25T12:55:52","indexId":"70180159","displayToPublicDate":"2017-01-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced Al and Zn removal from coal-mine drainage during rapid oxidation and precipitation of Fe oxides at near-neutral pH","docAbstract":"Net-alkaline, anoxic coal-mine drainage containing ∼20 mg/L FeII and ∼0.05 mg/L Al and Zn was subjected to parallel batch experiments: control, aeration (Aer 1 12.6 mL/s; Aer 2 16.8 mL/s; Aer 3 25.0 mL/s), and hydrogen peroxide (H2O2) to test the hypothesis that aeration increases pH, FeII oxidation, hydrous FeIII oxide (HFO) formation, and trace-metal removal through adsorption and coprecipitation with HFO. During 5.5-hr field experiments, pH increased from 6.4 to 6.7, 7.1, 7.6, and 8.1 for the control, Aer 1, Aer 2, and Aer 3, respectively, but decreased to 6.3 for the H2O2 treatment. Aeration accelerated removal of dissolved CO2, Fe, Al, and Zn. In Aer 3, dissolved Al was completely removed within 1 h, but increased to ∼20% of the initial concentration after 2.5 h when pH exceeded 7.5. H2O2 promoted rapid removal of all dissolved Fe and Al, and 13% of dissolved Zn.
Kinetic modeling with PHREEQC simulated effects of aeration on pH, CO2, Fe, Zn, and Al. Aeration enhanced Zn adsorption by increasing pH and HFO formation while decreasing aqueous CO2 available to form ZnCO30 and Zn(CO3)22− at high pH. Al concentrations were inconsistent with solubility control by Al minerals or Al-containing HFO, but could be simulated by adsorption on HFO at pH < 7.5 and desorption at higher pH where Al(OH)4− was predominant. Thus, aeration or chemical oxidation with pH adjustment to ∼7.5 could be effective for treating high-Fe and moderate-Zn concentrations, whereas chemical oxidation without pH adjustment may be effective for treating high-Fe and moderate-Al concentrations.
","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"Oxford","doi":"10.1016/j.apgeochem.2016.12.019","usgsCitation":"Burrows, J.E., Cravotta, C., and Peters, S.C., 2017, Enhanced Al and Zn removal from coal-mine drainage during rapid oxidation and precipitation of Fe oxides at near-neutral pH: Applied Geochemistry, v. 78, p. 194-210, https://doi.org/10.1016/j.apgeochem.2016.12.019.","productDescription":"17 p.","startPage":"194","endPage":"210","ipdsId":"IP-079591","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":470119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2016.12.019","text":"Publisher Index Page"},{"id":333911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Oak Hill Boreholes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.38570785522461,\n 40.677904184859585\n ],\n [\n -76.38570785522461,\n 40.72631561468468\n ],\n [\n -76.30159378051758,\n 40.72631561468468\n ],\n [\n -76.30159378051758,\n 40.677904184859585\n ],\n [\n -76.38570785522461,\n 40.677904184859585\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5889c799e4b0ba3b075e05d7","contributors":{"authors":[{"text":"Burrows, Jill E.","contributorId":149323,"corporation":false,"usgs":false,"family":"Burrows","given":"Jill","email":"","middleInitial":"E.","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":660537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":178696,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A. ","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":660536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Stephen C.","contributorId":149324,"corporation":false,"usgs":false,"family":"Peters","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":660538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180171,"text":"70180171 - 2017 - Macroclimatic change expected to transform coastal wetland ecosystems this century","interactions":[],"lastModifiedDate":"2017-02-02T11:00:41","indexId":"70180171","displayToPublicDate":"2017-01-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Macroclimatic change expected to transform coastal wetland ecosystems this century","docAbstract":"Coastal wetlands, existing at the interface between land and sea, are highly vulnerable to climate change. Macroclimate (for example, temperature and precipitation regimes) greatly influences coastal wetland ecosystem structure and function. However, research on climate change impacts in coastal wetlands has concentrated primarily on sea-level rise and largely ignored macroclimatic drivers, despite their power to transform plant community structure and modify ecosystem goods and services. Here, we model wetland plant community structure based on macroclimate using field data collected across broad temperature and precipitation gradients along the northern Gulf of Mexico coast. Our analyses quantify strongly nonlinear temperature thresholds regulating the potential for marsh-to-mangrove conversion. We also identify precipitation thresholds for dominance by various functional groups, including succulent plants and unvegetated mudflats. Macroclimate-driven shifts in foundation plant species abundance will have large effects on certain ecosystem goods and services. Based on current and projected climatic conditions, we project that transformative ecological changes are probable throughout the region this century, even under conservative climate scenarios. Coastal wetland ecosystems are functionally similar worldwide, so changes in this region are indicative of potential future changes in climatically similar regions globally.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nclimate3203","usgsCitation":"Gabler, C., Osland, M.J., Grace, J.B., Stagg, C.L., Day, R.H., Hartley, S.B., Enwright, N.M., From, A., McCoy, M., and McLeod, J.L., 2017, Macroclimatic change expected to transform coastal wetland ecosystems this century: Nature Climate Change, v. 7, p. 142-147, https://doi.org/10.1038/nclimate3203.","productDescription":"6 p.","startPage":"142","endPage":"147","ipdsId":"IP-071500","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":333901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-23","publicationStatus":"PW","scienceBaseUri":"5889c797e4b0ba3b075e05cf","contributors":{"authors":[{"text":"Gabler, Christopher A.","contributorId":178709,"corporation":false,"usgs":false,"family":"Gabler","given":"Christopher A.","affiliations":[{"id":34767,"text":"School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, Texas","active":true,"usgs":false}],"preferred":false,"id":660608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":660607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":660609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":660610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":660611,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartley, Stephen B. 0000-0003-1380-2769 hartleys@usgs.gov","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":4164,"corporation":false,"usgs":true,"family":"Hartley","given":"Stephen","email":"hartleys@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":660612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":660613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"From, Andrew 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":169668,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":660614,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCoy, Meagan L.","contributorId":178710,"corporation":false,"usgs":false,"family":"McCoy","given":"Meagan L.","affiliations":[],"preferred":false,"id":660615,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McLeod, Jennie L.","contributorId":149006,"corporation":false,"usgs":false,"family":"McLeod","given":"Jennie","email":"","middleInitial":"L.","affiliations":[{"id":17617,"text":"McLeod Consulting, U.S. Geological Survey, National Wetlands Research Center, Lafayette, Louisiana, USA","active":true,"usgs":false}],"preferred":false,"id":660616,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70180167,"text":"70180167 - 2017 - Available genetic data do not support adaptation of Tobacco ringspot virus to an arthropod host","interactions":[],"lastModifiedDate":"2017-01-25T12:37:30","indexId":"70180167","displayToPublicDate":"2017-01-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3819,"text":"mBio","active":true,"publicationSubtype":{"id":10}},"title":"Available genetic data do not support adaptation of Tobacco ringspot virus to an arthropod host","docAbstract":"No abstract available.
Insect metamorphosis often results in substantial chemical changes that can alter contaminant concentrations and fractionate isotopes. We exposed larval mayflies (Baetis tricaudatus) and their food (periphyton) to an aqueous zinc gradient (3-340 µg Zn/l) and measured zinc concentrations at different stages of metamorphosis: larval, subimago, and imago. We also measured changes in stable isotopes (δ15N and δ13C) in unexposed mayflies. Larval zinc concentrations were positively related to aqueous zinc, increasing 9-fold across the exposure gradient. Adult zinc concentrations were also positively related to aqueous zinc, but were 7-fold lower than larvae. This relationship varied according to adult substage and sex. Tissue concentrations in female imagoes were not related to exposure concentrations, but the converse was true for all other stage-by-sex combinations. Metamorphosis also increased δ15N by ~0.8‰, but not δ13C. Thus, the main effects of metamorphosis on insect chemistry were large declines in zinc concentrations coupled with increased δ15N signatures. For zinc, this change was largely consistent across the aqueous exposure gradient. However, differences among sexes and stages suggest that caution is warranted when using nitrogen isotopes or metal concentrations measured in one insect stage (e.g. larvae) to assess risk to wildlife that feed on subsequent life stages (e.g. adults).
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.6b05471","usgsCitation":"Wesner, J.S., Walters, D., Schmidt, T., Kraus, J.M., Stricker, C.A., Clements, W.H., and Wolf, R.E., 2017, Metamorphosis affects metal concentrations and isotopic signatures in a mayfly (Baetis tricaudatus): Implications for the aquatic-terrestrial transfer of metals: Environmental Science & Technology, v. 51, no. 4, p. 2438-2446, https://doi.org/10.1021/acs.est.6b05471.","productDescription":"9 p.","startPage":"2438","endPage":"2446","ipdsId":"IP-080534","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438443,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72V2D85","text":"USGS data release","linkHelpText":"Zinc concentrations and isotopic signatures of an aquatic insect (mayfly, Baetis tricaudatus)"},{"id":333903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"5889c797e4b0ba3b075e05cd","chorus":{"doi":"10.1021/acs.est.6b05471","url":"http://dx.doi.org/10.1021/acs.est.6b05471","publisher":"American Chemical Society (ACS)","authors":"Wesner Jeff S., Walters David M., Schmidt Travis S., Kraus Johanna M., Stricker Craig A., Clements William H., Wolf Ruth E.","journalName":"Environmental Science & Technology","publicationDate":"2/2017"},"contributors":{"authors":[{"text":"Wesner, Jeff S.","contributorId":58202,"corporation":false,"usgs":true,"family":"Wesner","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":660649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":660648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":660650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":660651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":660652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clements, William H.","contributorId":178714,"corporation":false,"usgs":false,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":660653,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":660673,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}