Determining the success of invasive species eradication efforts is challenging because populations at very low abundance are difficult to detect. Environmental DNA (eDNA) sampling has recently emerged as a powerful tool for detecting rare aquatic animals; however, detectable fragments of DNA can persist over time despite absence of the targeted taxa and can therefore complicate eDNA sampling after an eradication event. This complication is a large concern for fish eradication efforts in lakes since killed fish can sink to the bottom and slowly decay. DNA released from these carcasses may remain detectable for long periods. Here, we evaluated the efficacy of eDNA sampling to detect invasive Northern pike (Esox lucius) following piscicide eradication efforts in southcentral Alaskan lakes. We used field observations and experiments to test the sensitivity of our Northern pike eDNA assay and to evaluate the persistence of detectable DNA emitted from Northern pike carcasses. We then used eDNA sampling and traditional sampling (i.e., gillnets) to test for presence of Northern pike in four lakes subjected to a piscicide-treatment designed to eradicate this species. We found that our assay could detect an abundant, free-roaming population of Northern pike and could also detect low-densities of Northern pike held in cages. For these caged Northern pike, probability of detection decreased with distance from the cage. We then stocked three lakes with Northern pike carcasses and collected eDNA samples 7, 35 and 70 days post-stocking. We detected DNA at 7 and 35 days, but not at 70 days. Finally, we collected eDNA samples ~ 230 days after four lakes were subjected to piscicide-treatments and detected Northern pike DNA in 3 of 179 samples, with a single detection at each of three lakes, though we did not catch any Northern pike in gillnets. Taken together, we found that eDNA can help to inform eradication efforts if used in conjunction with multiple lines of inquiry and sampling is delayed long enough to allow full degradation of DNA in the water.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0162277","usgsCitation":"Dunker, K.J., Sepulveda, A.J., Massengill, R.L., Olsen, J.B., Russ, O.L., Wenburg, J.K., and Antonovich, A., 2016, Potential of environmental DNA to evaluate Northern pike (Esox lucius) eradication efforts: An experimental test and case study: PLoS ONE, v. 11, no. 9, e0162277; 21 p., https://doi.org/10.1371/journal.pone.0162277.","productDescription":"e0162277; 21 p.","ipdsId":"IP-074321","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0162277","text":"Publisher Index Page"},{"id":328659,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"57da66a5e4b090824ffb164a","contributors":{"authors":[{"text":"Dunker, Kristine J.","contributorId":38864,"corporation":false,"usgs":false,"family":"Dunker","given":"Kristine","email":"","middleInitial":"J.","affiliations":[{"id":6770,"text":"Alaska Department of Fish & Game, Division of Commercial Fish, Soldotna, AK 99669","active":true,"usgs":false}],"preferred":false,"id":648828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":648827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Massengill, Robert L.","contributorId":174630,"corporation":false,"usgs":false,"family":"Massengill","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":648829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Jeffrey B.","contributorId":174632,"corporation":false,"usgs":false,"family":"Olsen","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russ, Ora L.","contributorId":174633,"corporation":false,"usgs":false,"family":"Russ","given":"Ora","email":"","middleInitial":"L.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wenburg, John K.","contributorId":174634,"corporation":false,"usgs":false,"family":"Wenburg","given":"John","email":"","middleInitial":"K.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":648833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Antonovich, Anton","contributorId":174631,"corporation":false,"usgs":false,"family":"Antonovich","given":"Anton","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":648830,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176435,"text":"70176435 - 2016 - An evaluation of rapid methods for monitoring vegetation characteristics of wetland bird habitat","interactions":[],"lastModifiedDate":"2016-09-14T11:51:56","indexId":"70176435","displayToPublicDate":"2016-09-14T12:50:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of rapid methods for monitoring vegetation characteristics of wetland bird habitat","docAbstract":"Wetland managers benefit from monitoring data of sufficient precision and accuracy to assess wildlife habitat conditions and to evaluate and learn from past management decisions. For large-scale monitoring programs focused on waterbirds (waterfowl, wading birds, secretive marsh birds, and shorebirds), precision and accuracy of habitat measurements must be balanced with fiscal and logistic constraints. We evaluated a set of protocols for rapid, visual estimates of key waterbird habitat characteristics made from the wetland perimeter against estimates from (1) plots sampled within wetlands, and (2) cover maps made from aerial photographs. Estimated percent cover of annuals and perennials using a perimeter-based protocol fell within 10 percent of plot-based estimates, and percent cover estimates for seven vegetation height classes were within 20 % of plot-based estimates. Perimeter-based estimates of total emergent vegetation cover did not differ significantly from cover map estimates. Post-hoc analyses revealed evidence for observer effects in estimates of annual and perennial covers and vegetation height. Median time required to complete perimeter-based methods was less than 7 percent of the time needed for intensive plot-based methods. Our results show that rapid, perimeter-based assessments, which increase sample size and efficiency, provide vegetation estimates comparable to more intensive methods.
","language":"English","publisher":"Springer","doi":"10.1007/s11273-015-9476-5","usgsCitation":"Tavernia, B.G., Lyons, J., Loges, B.W., Wilson, A., Collazo, J., and Runge, M.C., 2016, An evaluation of rapid methods for monitoring vegetation characteristics of wetland bird habitat: Wetlands Ecology and Management, v. 24, no. 5, p. 495-505, https://doi.org/10.1007/s11273-015-9476-5.","productDescription":"11 p.","startPage":"495","endPage":"505","ipdsId":"IP-067154","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-17","publicationStatus":"PW","scienceBaseUri":"57da669ee4b090824ffb1642","contributors":{"authors":[{"text":"Tavernia, Brian G. btavernia@usgs.gov","contributorId":174618,"corporation":false,"usgs":false,"family":"Tavernia","given":"Brian","email":"btavernia@usgs.gov","middleInitial":"G.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":648752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E.","contributorId":35461,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[],"preferred":false,"id":648753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loges, Brian W.","contributorId":146554,"corporation":false,"usgs":false,"family":"Loges","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":648793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Andrew","contributorId":174620,"corporation":false,"usgs":false,"family":"Wilson","given":"Andrew","affiliations":[],"preferred":false,"id":648794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":648754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648751,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173994,"text":"70173994 - 2016 - Enriching the national map database for multi-scale use: Introducing the visibilityfilter attribution","interactions":[],"lastModifiedDate":"2017-02-28T12:13:17","indexId":"70173994","displayToPublicDate":"2016-09-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Enriching the national map database for multi-scale use: Introducing the visibilityfilter attribution","docAbstract":"The US Geological Survey’s (USGS) National Geospatial Technical Operations Center is prototyping and evaluating the ability to filter data through a range of scales using 1:24,000-scale The National Map (TNM) datasets as the source. A “VisibilityFilter” attribute is under evaluation that can be added to all TNM vector data themes and will permit filtering of data to eight target scales between 1:24,000 and 1:5,000,000, thus defining each feature’s smallest applicable scale-of-use. For a prototype implementation, map specifications for 1:100,000- and 1:250,000-scale USGS Topographic Map Series are being utilized to define feature content appropriate at fixed mapping scales to guide generalization decisions that are documented in a ScaleMaster diagram. This paper defines the VisibilityFilter attribute, the generalization decisions made for each TNM data theme, and how these decisions are embedded into the data to support efficient data filtering.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings, AutoCarto2016","conferenceTitle":"19th International Research Symposium on Computer-based Cartography","conferenceDate":"September 14-16, 2016","conferenceLocation":"Albuquerque, New Mexico","language":"English","publisher":"Cartography and Geographic Information Center ","usgsCitation":"Stauffer, A.J., Webinger, S., and Roche, B., 2016, Enriching the national map database for multi-scale use: Introducing the visibilityfilter attribution, in Proceedings, AutoCarto2016, Albuquerque, New Mexico, September 14-16, 2016, p. 188-199.","productDescription":"12 p. ","startPage":"188","endPage":"199","ipdsId":"IP-076364","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":336336,"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":"58b69a3fe4b01ccd54ff3f8c","contributors":{"authors":[{"text":"Stauffer, Andrew J. astauffer@usgs.gov","contributorId":5282,"corporation":false,"usgs":true,"family":"Stauffer","given":"Andrew","email":"astauffer@usgs.gov","middleInitial":"J.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":640096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webinger, Seth swebinger@usgs.gov","contributorId":172264,"corporation":false,"usgs":true,"family":"Webinger","given":"Seth","email":"swebinger@usgs.gov","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":640097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roche, Brittany broche@usgs.gov","contributorId":172265,"corporation":false,"usgs":true,"family":"Roche","given":"Brittany","email":"broche@usgs.gov","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":640098,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170557,"text":"sir20165045 - 2016 - Groundwater-level change and evaluation of simulated water levels for irrigated areas in Lahontan Valley, Churchill County, west-central Nevada, 1992 to 2012","interactions":[],"lastModifiedDate":"2025-05-15T13:30:04.862662","indexId":"sir20165045","displayToPublicDate":"2016-09-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5045","title":"Groundwater-level change and evaluation of simulated water levels for irrigated areas in Lahontan Valley, Churchill County, west-central Nevada, 1992 to 2012","docAbstract":"The acquisition and transfer of water rights to wetland areas of Lahontan Valley, Nevada, has caused concern over the potential effects on shallow aquifer water levels. In 1992, water levels in Lahontan Valley were measured to construct a water-table map of the shallow aquifer prior to the effects of water-right transfers mandated by the Fallon Paiute-Shoshone Tribal Settlement Act of 1990 (Public Law 101-618, 104 Stat. 3289). From 1992 to 2012, approximately 11,810 water-righted acres, or 34,356 acre-feet of water, were acquired and transferred to wetland areas of Lahontan Valley. This report documents changes in water levels measured during the period of water-right transfers and presents an evaluation of five groundwater-flow model scenarios that simulated water-level changes in Lahontan Valley in response to water-right transfers and a reduction in irrigation season length by 50 percent.
Water levels measured in 98 wells from 2012 to 2013 were used to construct a water-table map. Water levels in 73 of the 98 wells were compared with water levels measured in 1992 and used to construct a water-level change map. Water-level changes in the 73 wells ranged from -16.2 to 4.1 feet over the 20-year period. Rises in water levels in Lahontan Valley may correspond to annual changes in available irrigation water, increased canal flows after the exceptionally dry and shortened irrigation season of 1992, and the increased conveyance of water rights transferred to Stillwater National Wildlife Refuge. Water-level declines generally occurred near the boundary of irrigated areas and may be associated with groundwater pumping, water-right transfers, and inactive surface-water storage reservoirs. The largest water-level declines were in the area near Carson Lake.
Groundwater-level response to water-right transfers was evaluated by comparing simulated and observed water-level changes for periods representing water-right transfers and a shortened irrigation season in areas near Fallon and Stillwater, Nevada. In the Stillwater modeled area, water rights associated with nearly 50 percent of the irrigated land were transferred from 1992 to 1998, represented by the model scenario reduction in groundwater recharge by 50 percent. The scenario resulted in a simulated average decline of 0.6 foot; average observed water-level change for the modeled area was estimated to be 0.0 foot, or no change. In the Fallon modeled area, transfers of water rights associated with 180 acres of land occurred from 1994 to 2008. The transfer is most similar to the scenario for removal of 320 acres of irrigated land. The model scenario resulted in simulated water-level declines of 0.1; water levels measured from 1994 to 2012 indicate no significant trends in water levels, or approximately zero change in water levels, for the Fallon modeled area.
The model scenarios included the simulation of a irrigation season shortened by 50 percent, which was determined to have occurred in the 1992 irrigation season in both modeled areas. The shortening of the irrigation season in the Fallon modeled area resulted in simulated water-level declines of 1.1 feet; observed declines were estimated to be 1.3 feet. The Stillwater model simulations resulted in a simulated decline of 1.4 feet, and observed water levels declined an estimated 2.3 feet for the area. The estimated difference between simulated and observed water levels are 0.2 and 0.9 foot for the Fallon and Stillwater modeled areas, respectively. Observed water-level changes were generally within one standard deviation of changes from model simulations, based on the selected periods of comparison. Simulated and observed water-level changes agree well, generally within 1 foot; however, the model scenarios were only approximately similar to the observed conditions, and periods of comparison were generally shorter for the observed periods and included additional cumulative effects of water-right transfers. Climate variability was not considered in the model scenarios.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165045","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Smith, D.W., Buto, S.G., and Welborn, T.L., 2016, Groundwater-level change and evaluation of simulated water levels for irrigated areas in Lahontan Valley, Churchill County, west-central Nevada, 1992‒2012: U.S. Geological Survey Scientific Investigations Report 2016-5045, 23 p., https://dx.doi.org/10.3133/sir20165045.","productDescription":"Report: vi, 23 p.; 1 Plate: 30.00 x 26.00 inches; 3 Appendixes; 2 Data Releases","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049203","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":438548,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7222RWF","text":"USGS data release","linkHelpText":"Go to View Manage Groundwater-level and groundwater-level change contours for the Lahontan Valley shallow aquifer near Fallon, Nevada, 2012"},{"id":328562,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5045/sir20165045_appendix2.xlsx","text":"Appendix 2","size":"11 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5045 Appendix 2"},{"id":328558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5045/coverthb.jpg"},{"id":328559,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5045/sir20165045.pdf","text":"Report","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5045"},{"id":328560,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5045/sir20165045_plate01.pdf","text":"Plate 1","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5045 Plate 1","linkHelpText":"Water-level Contours of Lahontan Valley"},{"id":328561,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5045/sir20165045_appendix1.xlsx","text":"Appendix 1","size":"28 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016-5045 Appendix 1"},{"id":328563,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5045/sir20165045_appendix3.pdf","text":"Appendix 3","size":"608 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5045 Appendix 3"},{"id":328564,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7222RWF","text":"GIS Datasets","description":"SIR 2016-5045 GIS data","linkHelpText":"Groundwater-level and groundwater-level change contours for the Lahontan Valley shallow aquifer near Fallon, Nevada, 2012"}],"country":"United States","state":"Nevada","county":"Churchill County","otherGeospatial":"Lahontan Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.25,\n 39\n ],\n [\n -119.25,\n 39.75\n ],\n [\n -118.40,\n 39.75\n ],\n [\n -118.40,\n 39\n ],\n [\n -119.25,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
http://nevada.usgs.gov/
The rugged landscapes of northern Idaho and western Montana support biodiverse ecosystems, and provide a variety of natural resources and services for human communities. However, the benefits provided by these ecosystems may be at risk as changing climate magnifies existing stressors and allows new stressors to emerge. Preparation for and response to these potential changes can be most effectively addressed through multi-stakeholder partnerships, evaluating vulnerability of important resources to climate change, and developing response and preparation strategies for managing key natural resources in a changing world. This project will support climate-smart conservation and management across forests of northern Idaho and western Montana through three main components: (1) fostering partnerships among scientists, land managers, regional landowners, conservation practitioners, and the public; (2) assessing the vulnerability of a suite of regionally important resources to climate change and other stressors; and (3) creating a portfolio of adaptation strategies and actions to help resource managers prepare for and respond to the likely impacts of climate change. The results of this project will be used to inform the upcoming land management plan revisions for national forests, helping ensure that the most effective and robust conservation and management strategies are implemented to preserve our natural resources.
","language":"English","publisher":"Northwest Climate Science Center","usgsCitation":"Kershner, J., Woodward, A., and Torregrosa, A.A., 2016, Moving from awareness to action: Advancing climate change vulnerability assessments and adaptation planning for Idaho and Montana National Forests.","ipdsId":"IP-081876","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":339496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339204,"type":{"id":15,"text":"Index Page"},"url":"https://www.nwclimatescience.org/projects/moving-awareness-action-advancing-climate-change-vulnerability-assessments-and-adaptation"}],"country":"United States","state":"Idaho, Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.709480285645,\n 48.9080619812012\n ],\n [\n -116.29273223877,\n 45.890007019043\n ],\n [\n -109.875984191895,\n 45.890007019043\n ],\n [\n -110.875984191895,\n 48.9080619812012\n ],\n [\n -116.709480285645,\n 48.9080619812012\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ebadace4b0b4d95d320099","contributors":{"authors":[{"text":"Kershner, Jessi","contributorId":156364,"corporation":false,"usgs":false,"family":"Kershner","given":"Jessi","email":"","affiliations":[{"id":20326,"text":"EcoAdapt","active":true,"usgs":false}],"preferred":false,"id":688676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":688675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":688677,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176418,"text":"ofr20161158 - 2016 - Behavior and movements of adult spring Chinook salmon (Oncorhynchus tshawytscha) in the Chehalis River Basin, southwestern Washington, 2015","interactions":[],"lastModifiedDate":"2016-09-15T08:29:31","indexId":"ofr20161158","displayToPublicDate":"2016-09-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1158","title":"Behavior and movements of adult spring Chinook salmon (Oncorhynchus tshawytscha) in the Chehalis River Basin, southwestern Washington, 2015","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. Based on the extended period between freshwater entry and spawn timing, 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. The movements and temperature exposures of adult spring Chinook salmon following their return to the Chehalis River were investigated using radiotelemetry and transmitters equipped with temperature sensors, combined with water temperature monitoring throughout the basin. A total of 23 spring Chinook salmon were radio-tagged between April and early July 2015; 11 were captured and released in the main-stem Chehalis River, and 12 were captured and released in the South Fork Newaukum River. Tagged fish were monitored with a combination of fixed-site monitoring locations and regular mobile tracking, from freshwater entry through the spawning period.
Water temperature and flow conditions in the main-stem Chehalis River during 2015 were atypical compared to historical averages. Mean monthly water temperatures between March and July 2015 were higher than any decade since 1960 and mean daily flows were 30–70 percent of the flows in previous years. Overall, 96 percent of the tagged fish were detected, with a mean of 62 d in the detection history of tagged fish. Of the 11 fish released in the main-stem Chehalis River, six fish (55 percent) moved upstream, either shortly after release (2–7 d, 50 percent), or following a short delay (12–18 d, 50 percent). One fish released in the main-stem Chehalis River remained near the release location for 64 d before moving upstream.
The final fates for the seven fish that moved upstream in the main-stem Chehalis River included two fish with unknown fates, two fish with a fate of pre-spawn mortality, and three fish that were assigned a fate of spawner. Four (36 percent) of the radio-tagged Chinook salmon released in the main-stem Chehalis River showed limited movement from their release sites, and were assigned fates of unknown (one fish), pre-spawn mortality (one fish), and spit/mortality (2 fish). The 12 spring Chinook salmon released in the South Fork Newaukum River remained in the South Fork Newaukum River throughout the study period. Five (42 percent) of these fish were actively moving through the spawning period and were assigned a fate of spawner. Seven (58 percent) of these fish were detected for a period following release, but their detection histories ended prior to the spawning period. The fates assigned to these seven fish included two fish with spit/mortality fates and five fish with fates of pre-spawn mortality. Tagged fish in both the Chehalis River and the South Fork Newaukum River showed limited movements during the peak water temperatures in July and August, and were not frequently detected at sites where water temperatures were greater than 21 °C. Pre-spawn mortality due to predation or harvest may be an important factor in the Chehalis River Basin as it was the assigned fate for 27 percent of the fish released in the main-stem Chehalis River and 42 percent of the fish released in the South Fork Newaukum River.
This study represents a substantial contribution to the understanding of spring Chinook salmon in the Chehalis River Basin. The water temperatures and flow conditions during the 2015 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/ofr20161158","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife","usgsCitation":"Liedtke, T.L., Zimmerman, M.S., Tomka, R.G., Holt, Curt, and Jennings, Lyle, 2016, Behavior and movements of adult spring Chinook salmon (Oncorhynchus tshawytscha) in the Chehalis River Basin, southwestern Washington, 2015: U.S. Geological Survey Open-File Report 2016-1158, 57 p., https://dx.doi.org/10.3133/ofr20161158.","productDescription":"vi, 57 p.","numberOfPages":"67","onlineOnly":"Y","ipdsId":"IP-076409","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":328667,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1158/ofr20161158.pdf","text":"Report","size":"4.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1158"},{"id":328666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1158/coverthb.jpg"}],"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 -123.837890625,\n 46.38293856752681\n ],\n [\n -123.837890625,\n 46.965259400349275\n ],\n [\n -122.52227783203125,\n 46.965259400349275\n ],\n [\n -122.52227783203125,\n 46.38293856752681\n ],\n [\n -123.837890625,\n 46.38293856752681\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/
Streamflow and water temperature in the Middle Fork Willamette River (MFWR), western Oregon, have been regulated and altered since the construction of Lookout Point, Dexter, and Hills Creek Dams in 1954 and 1961, respectively. Each year, summer releases from the dams typically are cooler than pre-dam conditions, with the reverse (warmer than pre-dam conditions) occurring in autumn. This pattern has been detrimental to habitat of endangered Upper Willamette River (UWR) Chinook salmon (Oncorhynchus tshawytscha) and UWR winter steelhead (O. mykiss) throughout multiple life stages. In this study, scenarios testing different dam-operation strategies and hypothetical dam-outlet structures were simulated using CE-QUAL-W2 hydrodynamic/temperature models of the MFWR system from Hills Creek Lake (HCR) to Lookout Point (LOP) and Dexter (DEX) Lakes to explore and understand the efficacy of potential flow and temperature mitigation options.
Model scenarios were run in constructed wet, normal, and dry hydrologic calendar years, and designed to minimize the effects of Hills Creek and Lookout Point Dams on river temperature by prioritizing warmer lake surface releases in May–August and cooler, deep releases in September–December. Operational scenarios consisted of a range of modified release rate rules, relaxation of power-generation constraints, variations in the timing of refill and drawdown, and maintenance of different summer maximum lake levels at HCR and LOP. Structural scenarios included various combinations of hypothetical floating outlets near the lake surface and hypothetical new outlets at depth. Scenario results were compared to scenarios using existing operational rules that give temperature management some priority (Base), scenarios using pre-2012 operational rules that prioritized power generation over temperature management (NoBlend), and estimated temperatures from a without-dams condition (WoDams).
Results of the tested model scenarios led to the following conclusions:
Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov
The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed regional-regression equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, 0.2-percent annual exceedance-probability discharge (AEPD) for natural streamflow in eastern Colorado. A total of 188 streamgages, consisting of 6,536 years of record and a mean of approximately 35 years of record per streamgage, were used to develop the peak-streamflow regional-regression equations. The estimated AEPDs for each streamgage were computed using the USGS software program PeakFQ. The AEPDs were determined using systematic data through water year 2013. Based on previous studies conducted in Colorado and neighboring States and on the availability of data, 72 characteristics (57 basin and 15 climatic characteristics) were evaluated as candidate explanatory variables in the regression analysis. Paleoflood and non-exceedance bound ages were established based on reconnaissance-level methods. Multiple lines of evidence were used at each streamgage to arrive at a conclusion (age estimate) to add a higher degree of certainty to reconnaissance-level estimates. Paleoflood or nonexceedance bound evidence was documented at 41 streamgages, and 3 streamgages had previously collected paleoflood data.To determine the peak discharge of a paleoflood or non-exceedanc bound, two different hydraulic models were used.
The mean standard error of prediction (SEP) for all 8 AEPDs was reduced approximately 25 percent compared to the previous flood-frequency study. For paleoflood data to be effective in reducing the SEP in eastern Colorado, a larger ratio than 44 of 188 (23 percent) streamgages would need paleoflood data and that paleoflood data would need to increase the record length by more than 25 years for the 1-percent AEPD. The greatest reduction in SEP for the peak-streamflow regional-regression equations was observed when additional new basin characteristics were included in the peak-streamflow regional-regression equations and when eastern Colorado was divided into two separate hydrologic regions. To make further reductions in the uncertainties of the peak-streamflow regional-regression equations in the Foothills and Plains hydrologic regions, additional streamgages or crest-stage gages are needed to collect peak-streamflow data on natural streams in eastern Colorado.
Generalized-Least Squares regression was used to compute the final peak-streamflow regional-regression equations for peak-streamflow. Dividing eastern Colorado into two new individual regions at –104° longitude resulted in peak-streamflow regional-regression equations with the smallest SEP. The new hydrologic region located between –104° longitude and the Kansas-Nebraska State line will be designated the Plains hydrologic region and the hydrologic region comprising the rest of eastern Colorado located west of the –104° longitude and east of the Rocky Mountains and below 7,500 feet in the South Platte River Basin and below 9,000 feet in the Arkansas River Basin will be designated the Foothills hydrologic region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165099","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Stevens, M.R., Harden, T.M., Godaire, J.E., Klinger, R.E., and Mommandi, Amanullah, 2016, Paleoflood investigations to improve peak-streamflow regional-regression equations for natural streamflow in eastern Colorado, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5099, 58 p., https://dx.doi.org/10.3133/sir20165099.","productDescription":"Report: ix, 57 p.; 3 Appendixes","onlineOnly":"Y","ipdsId":"IP-064605","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":328604,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099_Appendix6.zip","text":"Appendix 6","size":"10.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5099 Appendix 6"},{"id":328603,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099_Appendix5.zip","text":"Appendix 5","size":"540 kB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5099 Appendix 5"},{"id":328602,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099_Appendix4.zip","text":"Appendix 4","size":"15.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5099 Appendix 4"},{"id":328354,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5099/sir20165099.pdf","text":"Report","size":"127 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5099"},{"id":328353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5099/coverthb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.5,\n 42\n ],\n [\n -110.5,\n 36\n ],\n [\n -100.5,\n 36\n ],\n [\n -100.5,\n 42\n ],\n [\n -110.5,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, USGS Colorado Water Science Center
Box 25046, Mail Stop 415
Denver, CO 80225
In the past decade, difficulties encountered in reproducing the results of a cancer study at Duke University resulted in a scandal and an investigation which concluded that tools used for data management, analysis, and modeling were inappropriate for the documentation of the study, let alone the reproduction of the results. New protocols were developed which require that data analysis and modeling be carried out with scripts that can be used to reproduce the results and are a record of all decisions and interpretations made during an analysis or a modeling effort. In the hydrological sciences, we face similar challenges and need to develop similar standards for transparency and repeatability of results. A promising route is to start making use of open-source languages (such as R and Python) to write scripts and to use collaborative coding environments (such as Git) to share our codes for inspection and use by the hydrological community. An important side-benefit to adopting such protocols is consistency and efficiency among collaborators.
","language":"English","publisher":"EGU","doi":"10.5194/hess-20-3739-2016","usgsCitation":"Fienen, M., and Bakker, M., 2016, HESS Opinions: Repeatable research: what hydrologistscan learn from the Duke cancer research scandal: Hydrology and Earth System Sciences, v. 20, p. 3739-3743, https://doi.org/10.5194/hess-20-3739-2016.","productDescription":"5 p.","startPage":"3739","endPage":"3743","ipdsId":"IP-075419","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":462083,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-3739-2016","text":"Publisher Index Page"},{"id":328593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-12","publicationStatus":"PW","scienceBaseUri":"57d91527e4b090824ff9fa36","contributors":{"authors":[{"text":"Fienen, Michael 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":174604,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bakker, Mark","contributorId":56137,"corporation":false,"usgs":true,"family":"Bakker","given":"Mark","email":"","affiliations":[],"preferred":false,"id":648710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176414,"text":"70176414 - 2016 - Intertidal salt marshes as an important source of inorganic carbon to the coastal ocean","interactions":[],"lastModifiedDate":"2016-09-13T09:44:52","indexId":"70176414","displayToPublicDate":"2016-09-13T10:40:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Intertidal salt marshes as an important source of inorganic carbon to the coastal ocean","docAbstract":"Dynamic tidal export of dissolved inorganic carbon (DIC) to the coastal ocean from highly productive intertidal marshes and its effects on seawater carbonate chemistry are thoroughly evaluated. The study uses a comprehensive approach by combining tidal water sampling of CO2parameters across seasons, continuous in situ measurements of biogeochemically-relevant parameters and water fluxes, with high-resolution modeling in an intertidal salt marsh of the U.S. northeast region. Salt marshes can acidify and alkalize tidal water by injecting CO2 (DIC) and total alkalinity (TA). DIC and TA generation may also be decoupled due to differential effects of marsh aerobic and anaerobic respiration on DIC and TA. As marsh DIC is added to tidal water, the buffering capacity first decreases to a minimum and then increases quickly. Large additions of marsh DIC can result in higher buffering capacity in ebbing tide than incoming tide. Alkalization of tidal water, which mostly occurs in the summer due to anaerobic respiration, can further modify buffering capacity. Marsh exports of DIC and alkalinity may have complex implications for the future, more acidified ocean. Marsh DIC export exhibits high variability over tidal and seasonal cycles, which is modulated by both marsh DIC generation and by water fluxes. The marsh DIC export of 414 g C m−2 yr−1, based on high-resolution measurements and modeling, is more than twice the previous estimates. It is a major term in the marsh carbon budget and translates to one of the largest carbon fluxes along the U.S. East Coast.
","language":"English","publisher":"ASLO","doi":"10.1002/lno.10347","usgsCitation":"Wang, Z., Kroeger, K.D., Ganju, N., Gonneea Eagle, M., and Chu, S.N., 2016, Intertidal salt marshes as an important source of inorganic carbon to the coastal ocean: Limnology and Oceanography, v. 61, no. 5, p. 1916-1931, https://doi.org/10.1002/lno.10347.","productDescription":"16 p.","startPage":"1916","endPage":"1931","ipdsId":"IP-073972","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470570,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10347","text":"Publisher Index Page"},{"id":328589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Sage Lot Pond, Waquoit Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5188798904419,\n 41.54953955986466\n ],\n [\n -70.5188798904419,\n 41.55718297621677\n ],\n [\n -70.50287246704102,\n 41.55718297621677\n ],\n [\n -70.50287246704102,\n 41.54953955986466\n ],\n [\n -70.5188798904419,\n 41.54953955986466\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57d91527e4b090824ff9fa38","chorus":{"doi":"10.1002/lno.10347","url":"http://dx.doi.org/10.1002/lno.10347","publisher":"Wiley-Blackwell","authors":"Wang Zhaohui Aleck, Kroeger Kevin D., Ganju Neil K., Gonneea Meagan Eagle, Chu Sophie N.","journalName":"Limnology and Oceanography","publicationDate":"7/18/2016"},"contributors":{"authors":[{"text":"Wang, Zhaohui Aleck","contributorId":174589,"corporation":false,"usgs":false,"family":"Wang","given":"Zhaohui Aleck","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":648666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":648665,"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":140088,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chu, Sophie N.","contributorId":174603,"corporation":false,"usgs":false,"family":"Chu","given":"Sophie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":648669,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176412,"text":"70176412 - 2016 - Significance of groundwater discharge along the coast of Poland as a source of dissolved metals to the southern Baltic Sea","interactions":[],"lastModifiedDate":"2016-09-13T09:02:56","indexId":"70176412","displayToPublicDate":"2016-09-13T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Significance of groundwater discharge along the coast of Poland as a source of dissolved metals to the southern Baltic Sea","docAbstract":"Fluxes of dissolved trace metals (Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn) via groundwater discharge along the southern Baltic Sea have been assessed for the first time. Dissolved metal concentrations in groundwater samples were less variable than in seawater and were generally one or two orders of magnitude higher: Cd (2.1–2.8 nmol L− 1), Co (8.70–8.76 nmol L− 1), Cr (18.1–18.5 nmol L− 1), Mn (2.4–2.8 μmol L− 1), Pb (1.2–1.5 nmol L− 1), Zn (33.1–34.0 nmol L− 1). Concentrations of Cu (0.5–0.8 nmol L− 1) and Ni (4.9–5.8 nmol L− 1) were, respectively, 32 and 4 times lower, than in seawater. Groundwater-derived trace metal fluxes constitute 93% for Cd, 80% for Co, 91% for Cr, 6% for Cu, 66% for Mn, 4% for Ni, 70% for Pb and 93% for Zn of the total freshwater trace metal flux to the Bay of Puck. Groundwater-seawater mixing, redox conditions and Mn-cycling are the main processes responsible for trace metal distribution in groundwater discharge sites.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.06.008","usgsCitation":"Szymczycha, B., Kroeger, K.D., and Pempkowiak, J., 2016, Significance of groundwater discharge along the coast of Poland as a source of dissolved metals to the southern Baltic Sea: Marine Pollution Bulletin, v. 109, no. 1, p. 151-162, https://doi.org/10.1016/j.marpolbul.2016.06.008.","productDescription":"12 p.","startPage":"151","endPage":"162","ipdsId":"IP-075882","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":462085,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8250","text":"External Repository"},{"id":328581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Poland","otherGeospatial":"Baltic Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 14.21630859375,\n 53.74221377343122\n ],\n [\n 14.21630859375,\n 54.93345430690937\n ],\n [\n 19.2041015625,\n 54.93345430690937\n ],\n [\n 19.2041015625,\n 53.74221377343122\n ],\n [\n 14.21630859375,\n 53.74221377343122\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d91528e4b090824ff9fa3f","contributors":{"authors":[{"text":"Szymczycha, Beata","contributorId":174584,"corporation":false,"usgs":false,"family":"Szymczycha","given":"Beata","email":"","affiliations":[{"id":27475,"text":"Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland","active":true,"usgs":false}],"preferred":false,"id":648657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":648656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pempkowiak, Janusz","contributorId":174585,"corporation":false,"usgs":false,"family":"Pempkowiak","given":"Janusz","email":"","affiliations":[{"id":27475,"text":"Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland","active":true,"usgs":false}],"preferred":false,"id":648658,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176416,"text":"70176416 - 2016 - Source characterization and tsunami modeling of submarine landslides along the Yucatán Shelf/Campeche Escarpment, southern Gulf of Mexico","interactions":[],"lastModifiedDate":"2019-08-13T07:10:29","indexId":"70176416","displayToPublicDate":"2016-09-13T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Source characterization and tsunami modeling of submarine landslides along the Yucatán Shelf/Campeche Escarpment, southern Gulf of Mexico","docAbstract":"Submarine landslides occurring along the margins of the Gulf of Mexico (GOM) represent a low-likelihood, but potentially damaging source of tsunamis. New multibeam bathymetry coverage reveals that mass wasting is pervasive along the Yucatán Shelf edge with several large composite landslides possibly removing as much as 70 km3 of the Cenozoic sedimentary section in a single event. Using GIS-based analysis, the dimensions of six landslides from the central and northern sections of the Yucatán Shelf/Campeche Escarpment were determined and used as input for preliminary tsunami generation and propagation models. Tsunami modeling is performed to compare the propagation characteristics and distribution of maximum amplitudes throughout the GOM among the different landslide scenarios. Various factors such as landslide geometry, location along the Yucatán Shelf/Campeche Escarpment, and refraction during propagation result in significant variations in the affected part of the Mexican and US Gulf Coasts. In all cases, however, tsunami amplitudes are greatest along the northern Yucatán Peninsula.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-016-1363-3","usgsCitation":"Chaytor, J., Geist, E.L., Paull, C.K., Caress, D., Gwiazda, R., Urrutia Fucugauchi, J., and Rebolledo Vieyra, M., 2016, Source characterization and tsunami modeling of submarine landslides along the Yucatán Shelf/Campeche Escarpment, southern Gulf of Mexico: Pure and Applied Geophysics, v. 173, no. 12, p. 4101-4116, https://doi.org/10.1007/s00024-016-1363-3.","productDescription":"16 p.","startPage":"4101","endPage":"4116","ipdsId":"IP-070847","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Campeche Escarpment, Gulf of Mexico, Yucatán Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.91015624999999,\n 18.145851771694467\n ],\n [\n -82.6171875,\n 18.145851771694467\n ],\n [\n -82.6171875,\n 31.12819929911196\n ],\n [\n -97.91015624999999,\n 31.12819929911196\n ],\n [\n -97.91015624999999,\n 18.145851771694467\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"173","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57d91528e4b090824ff9fa41","chorus":{"doi":"10.1007/s00024-016-1363-3","url":"http://dx.doi.org/10.1007/s00024-016-1363-3","publisher":"Springer Nature","authors":"Chaytor Jason D., Geist Eric L., Paull Charles K., Caress David W., Gwiazda Roberto, Fucugauchi Jaime Urrutia, Vieyra Mario Rebolledo","journalName":"Pure and Applied Geophysics","publicationDate":"8/8/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/8/2016"},"contributors":{"authors":[{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":648673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":648674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caress, David W","contributorId":147194,"corporation":false,"usgs":false,"family":"Caress","given":"David W","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":648675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":648676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Urrutia Fucugauchi, Jaime","contributorId":174600,"corporation":false,"usgs":false,"family":"Urrutia Fucugauchi","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":648677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rebolledo Vieyra, Mario","contributorId":174601,"corporation":false,"usgs":false,"family":"Rebolledo Vieyra","given":"Mario","email":"","affiliations":[],"preferred":false,"id":648678,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176417,"text":"70176417 - 2016 - Methane turnover and environmental change from Holocene biomarker records in a thermokarst lake in Arctic Alaska","interactions":[],"lastModifiedDate":"2016-10-07T12:42:15","indexId":"70176417","displayToPublicDate":"2016-09-13T09:35:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Methane turnover and environmental change from Holocene biomarker records in a thermokarst lake in Arctic Alaska","docAbstract":"Arctic lakes and wetlands contribute a substantial amount of methane to the contemporary atmosphere, yet profound knowledge gaps remain regarding the intensity and climatic control of past methane emissions from this source. In this study, we reconstruct methane turnover and environmental conditions, including estimates of mean annual and summer temperature, from a thermokarst lake (Lake Qalluuraq) on the Arctic Coastal Plain of northern Alaska for the Holocene by using source-specific lipid biomarkers preserved in a radiocarbon-dated sediment core. Our results document a more prominent role for methane in the carbon cycle when the lake basin was an emergent fen habitat between ~12,300 and ~10,000 cal yr BP, a time period closely coinciding with the Holocene Thermal Maximum (HTM) in North Alaska. Enhanced methane turnover was stimulated by relatively warm temperatures, increased moisture, nutrient supply, and primary productivity. After ~10,000 cal yr BP, a thermokarst lake with abundant submerged mosses evolved, and through the mid-Holocene temperatures were approximately 3°C cooler. Under these conditions, organic matter decomposition was attenuated, which facilitated the accumulation of submerged mosses within a shallower Lake Qalluuraq. Reduced methane assimilation into biomass during the mid-Holocene suggests that thermokarst lakes are carbon sinks during cold periods. In the late-Holocene from ~2700 cal yr BP to the most recent time, however, temperatures and carbon deposition rose and methane oxidation intensified, indicating that more rapid organic matter decomposition and enhanced methane production could amplify climate feedback via potential methane emissions in the future.
","language":"English","publisher":"Sage Journals","doi":"10.1177/0959683616645942","usgsCitation":"Elvert, M., Pohlman, J.W., Becker, K.W., Gaglioti, B.V., Hinrichs, K., and Wooller, M., 2016, Methane turnover and environmental change from Holocene biomarker records in a thermokarst lake in Arctic Alaska: The Holocene, v. 26, no. 11, p. 1766-1777, https://doi.org/10.1177/0959683616645942.","productDescription":"12 p.","startPage":"1766","endPage":"1777","ipdsId":"IP-070670","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"11","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"57d91527e4b090824ff9fa3a","contributors":{"authors":[{"text":"Elvert, Marcus","contributorId":102362,"corporation":false,"usgs":true,"family":"Elvert","given":"Marcus","affiliations":[],"preferred":false,"id":648680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John W. 0000-0002-3563-4586 jpohlman@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":145771,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","email":"jpohlman@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, Kevin W.","contributorId":54491,"corporation":false,"usgs":true,"family":"Becker","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":648681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":648682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinrichs, Kai-Uwe","contributorId":89791,"corporation":false,"usgs":true,"family":"Hinrichs","given":"Kai-Uwe","affiliations":[],"preferred":false,"id":648683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooller, Matthew J.","contributorId":24213,"corporation":false,"usgs":true,"family":"Wooller","given":"Matthew J.","affiliations":[],"preferred":false,"id":648684,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176415,"text":"70176415 - 2016 - Finite-frequency wave propagation through outer rise fault zones and seismic measurements of upper mantle hydration","interactions":[],"lastModifiedDate":"2016-09-13T08:52:12","indexId":"70176415","displayToPublicDate":"2016-09-13T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Finite-frequency wave propagation through outer rise fault zones and seismic measurements of upper mantle hydration","docAbstract":"Effects of serpentine-filled fault zones on seismic wave propagation in the upper mantle at the outer rise of subduction zones are evaluated using acoustic wave propagation models. Modeled wave speeds depend on azimuth, with slowest speeds in the fault-normal direction. Propagation is fastest along faults, but, for fault widths on the order of the seismic wavelength, apparent wave speeds in this direction depend on frequency. For the 5–12 Hz Pn arrivals used in tomographic studies, joint-parallel wavefronts are slowed by joints. This delay can account for the slowing seen in tomographic images of the outer rise upper mantle. At the Middle America Trench, confining serpentine to fault zones, as opposed to a uniform distribution, reduces estimates of bulk upper mantle hydration from ~3.5 wt % to as low as 0.33 wt % H2O.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GL070083","usgsCitation":"Miller, N.C., and Lizarralde, D., 2016, Finite-frequency wave propagation through outer rise fault zones and seismic measurements of upper mantle hydration: Geophysical Research Letters, v. 43, no. 15, p. 7982-7990, https://doi.org/10.1002/2016GL070083.","productDescription":"9 p.","startPage":"7982","endPage":"7990","ipdsId":"IP-073742","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470571,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl070083","text":"Publisher Index Page"},{"id":328579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"15","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-14","publicationStatus":"PW","scienceBaseUri":"57d91525e4b090824ff9fa2e","contributors":{"authors":[{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lizarralde, Daniel","contributorId":24256,"corporation":false,"usgs":true,"family":"Lizarralde","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":648671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174261,"text":"sir20165097 - 2016 - Generalized sediment budgets of the Lower Missouri River, 1968–2014","interactions":[],"lastModifiedDate":"2016-09-13T12:16:19","indexId":"sir20165097","displayToPublicDate":"2016-09-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5097","title":"Generalized sediment budgets of the Lower Missouri River, 1968–2014","docAbstract":"Sediment budgets of the Lower Missouri River were developed in a study led by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers. The scope of the study included the development of a long-term (post-impoundment, 1968–2014) average annual sediment budget and selected annual, monthly, and daily sediment budgets for a reach and period that adequate data were available. Included in the analyses were 31 main-stem and tributary stations of the Lower Missouri River and two Mississippi River stations—the Mississippi River below Grafton, Illinois, and the Mississippi River at St. Louis, Missouri.
Long-term average annual suspended-sediment loads of Missouri River main-stem stations ranged from 0.33 million tons at the Missouri River at Yankton, South Dakota, station to 71.2 million tons at Missouri River at Hermann, Mo., station. Gaged tributary gains accounted for 9–36 percent of the local reach budgets and cumulative gaged tributary contributions accounted for 84 percent of the long-term average suspended-sediment load of the Missouri River at Hermann, Mo., station. Although the sediment budgets for seven defined main-stem reaches generally were incomplete—missing bedload, reach storage, and ungaged tributary contributions—the budget residuals (net result of sediment inputs and outputs) for six of the seven reaches ranged from -7.0 to 1.7 million tons, or from -9.2 to 4.0 percent of the reach output suspended-sediment load, and were within the 10 percent reported measurement error of annual suspended-sediment loads for large rivers. The remaining reach, downstream from Gavin’s Point Dam, extended from Yankton, S. Dak., to Sioux City, Iowa, and had a budget residual of -9.8 million tons, which was -88 percent of the suspended-sediment load at Sioux City.
The Lower Missouri River reach from Omaha, Nebraska, to Nebraska City, Nebr., had periods of concurrent sediment data for each primary budget component with which to analyze and determine a suspended-sediment budget for selected annual, monthly, and daily time increments. The temporal changes in the cumulative annual budget residuals were poorly correlated with the comparatively steady 1968–2011 annual stage trends at the Missouri River at Nebraska City, Nebr., station. An accurate total sediment budget is developed by having concurrent data available for all primary suspended and bedload components for a reach of interest throughout a period. Such a complete budget, with concurrent record for suspended-sediment load and bedload components, is unavailable for any reach and period in the Lower Missouri River. The primary data gaps are in bedload data, and also in suspended-sediment gains and losses including ungaged tributary inputs and sediment storage. Bedload data gaps in the Missouri River Basin are much more prevalent than suspended-sediment data gaps, and the first step in the development of reach bedload budgets is the establishment of a standardized bedload monitoring program at main-stem stations.
The temporal changes in flow-adjusted suspended-sediment concentrations analyzed at main-stem Missouri River stations indicated an overall downward change in concentrations between 1968 and 2014. Temporary declines in flow-adjusted suspended-sediment concentrations during and following large floods were evident but generally returned to near pre-flood values within about 6 months.
Data uncertainties associated with the development of a sediment budget include uncertainties associated with the collection of suspended-sediment and bedload data and the computation of suspended-sediment loads. These uncertainties vary depending on the frequency of data collection, the variability of conditions being represented by the discrete samples, and the statistical approach to suspended-sediment load computations. The coefficients of variation of suspended-sediment loads of Missouri River tributary stations for 1968–2014 were greater, 75.0 percent, than the main-stem stations, 47.1 percent. The lower coefficient of variation at main-stem stations compared to tributaries, primarily is the result of the lower variability in streamflow and sediment discharge identified at main-stem stations. To obtain similar accuracy between suspended-sediment loads at main-stem and tributary stations, a longer period of record is required of the tributary stations. During 1968–2014, however, the Missouri River main-stem station record was much more complete (87 percent) than the tributary station record (28 percent).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165097","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Heimann, D.C., 2016, Generalized sediment budgets of the Lower Missouri River, 1968–2014: U.S. Geological Survey Scientific Investigations Report 2016–5097, 51 p., https://dx.doi.org/10.3133/sir20165097.","productDescription":"Report: vii, 51 p.; Tables 1-9","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073678","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":328577,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_tables.zip","text":"Tables 1–9","size":"8.88 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016–5097 Tables 1–9"},{"id":328568,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_1.xlsx","text":"Table 1","size":"599 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 1"},{"id":328569,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_2.xlsx","text":"Table 2","size":"6.15 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 2"},{"id":328570,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_3.xlsx","text":"Table 3","size":"9.11 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 3"},{"id":328565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5097/coverthb.jpg"},{"id":328566,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097.pdf","text":"Report","size":"5.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5097"},{"id":328574,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_7.xlsx","text":"Table 7","size":"496 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 7"},{"id":328571,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_4.xlsx","text":"Table 4","size":"496 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 4"},{"id":328575,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_8.xlsx","text":"Table 8","size":"46.4 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 8"},{"id":328572,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_5.xlsx","text":"Table 5","size":"499 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 5"},{"id":328573,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_6.xlsx","text":"Table 6","size":"493 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 6"},{"id":328576,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5097/sir20165097_table_9.xlsx","text":"Table 9","size":"586 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5097 Table 9"}],"country":"United States","otherGeospatial":"Missouri River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.120849609375,\n 38.81617117607388\n ],\n [\n -91.318359375,\n 38.89103282648846\n ],\n [\n -92.933349609375,\n 40.59727063442027\n ],\n [\n -95.361328125,\n 43.51668853502909\n ],\n [\n -97.72338867187499,\n 45.91294412737392\n ],\n [\n -99.54711914062499,\n 47.57652571374621\n ],\n [\n -104.0185546875,\n 48.99463598353408\n ],\n [\n -105.029296875,\n 49.468124067331644\n ],\n [\n -113.203125,\n 49.56797785892715\n ],\n [\n -112.587890625,\n 44.98034238084973\n ],\n [\n -107.09472656249999,\n 40.9964840143779\n ],\n [\n -102.06298828125,\n 38.35888785866677\n ],\n [\n -94.59228515625,\n 37.10776507118514\n ],\n [\n -91.64794921875,\n 37.142803443716836\n ],\n [\n -90.9173583984375,\n 38.36750215395045\n ],\n [\n -90.120849609375,\n 38.81617117607388\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Heavy rainfall resulted in major flooding in the Meramec River Basin in eastern Missouri during late December 2015 through early January 2016. Cumulative rainfall from December 14 to 29, 2015, ranged from 7.6 to 12.3 inches at selected precipitation stations in the basin with flooding driven by the heaviest precipitation (3.9–9.7 inches) between December 27 and 29, 2015. Financial losses from flooding included damage to homes and other structures, damage to roads, and debris removal. Eight of 11 counties in the basin were declared a Federal Disaster Area.
The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers and St. Louis Metropolitan Sewer District, operates multiple streamgages along the Meramec River and its primary tributaries including the Bourbeuse River and Big River. The period of record for streamflow at streamgages in the basin included in this report ranges from 24 to 102 years. Instrumentation in a streamgage shelter automatically makes observations of stage using a variety of methods (submersible pressure transducer, non-submersible pressure transducer, or non-contact radar). These observations are recorded autonomously at a predetermined programmed frequency (typically either 15 or 30 minutes) dependent on drainage-area size and concomitant flashiness of the stream. Although stage data are important, streamflow data are equally or more important for streamflow forecasting, water-quality constituent loads computation, flood-frequency analysis, and flood mitigation planning. Streamflows are computed from recorded stage data using an empirically determined relation between stage and streamflow termed a “rating.” Development and verification of the rating requires periodic onsite discrete measurements of streamflow throughout time and over the range of stages to define local hydraulic conditions.
The purpose of this report is to examine characteristics of flooding that occurred in the Meramec River Basin in December 2015–January 2016 including peak stages, peak streamflows, and the flood-frequency statistics associated with the peak flows. A comparison between the December 2015–January 2016 flood and a similar flood in December 1982 in the Meramec River Basin also is included.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161140","usgsCitation":"Holmes, R.R., Jr., Koenig, T.A., Rydlund, P.H., and Heimann, D.C., 2016, Examination of flood characteristics at selected streamgages in the Meramec River Basin, Eastern Missouri, December 2015–January 2016: U.S. Geological Survey Open-File Report 2016–1140, 7 p., https://dx.doi.org/10.3133/ofr20161140.","productDescription":"Report: 7 p., Tables: 1-3","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077164","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":328622,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1140/ofr20161140.pdf","text":"Report","size":"1.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1140"},{"id":328621,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1140/coverthb.jpg"},{"id":328623,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1140/ofr20161140_tables1-3.xlsx","text":"Tables 1–3","size":"333 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016–1140 Tables"}],"country":"United States","state":"Missouri","otherGeospatial":"Meramec River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.900634765625,\n 37.3002752813443\n ],\n [\n -91.900634765625,\n 38.18638677411551\n ],\n [\n -90.2911376953125,\n 38.18638677411551\n ],\n [\n -90.2911376953125,\n 37.3002752813443\n ],\n [\n -91.900634765625,\n 37.3002752813443\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, Office of Surface Water
U.S. Geological Survey
415 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Relative-gravity data and absolute-gravity data were collected at 68 stations in the Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona, in May–June 2015 for the purpose of estimating aquifer-storage change. Similar data from 2014 and a description of the survey network were published in U.S. Geological Survey Open-File Report 2015–1086. Data collection and network adjustment results are presented in this report, which is accompanied by a supporting Web Data Release (http://dx.doi.org/10.5066/F7SQ8XHX). Station positions are presented from a Global Positioning System campaign to determine station elevation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161155","collaboration":"Prepared in cooperation with The Nature Conservancy","usgsCitation":"Kennedy, J.R., 2016, Gravity change from 2014 to 2015, Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona: U.S. Geological Survey Open-File Report 2016–1155, 15 p., https://dx.doi.org/10.3133/ofr20161155.","productDescription":"Report: v, 15 p.; Datasets","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074089","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":328551,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1155/coverthb.jpg"},{"id":328553,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2016/1155/ofr20161155_SanPedroGravity2014-2015_AbsoluteGravity.txt","text":"Absolute gravity","size":"237 bytes","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1155 Absolute gravity"},{"id":328552,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1155/ofr20161155.pdf","text":"Report","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1155"},{"id":328554,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2016/1155/ofr20161155_SanPedroGravity2014-2015_AdjustedGravity.csv","text":"Adjusted gravity","size":"5 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2016-1155 Adjusted gravity"},{"id":328756,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7SQ8XHX","text":"GIS Data","description":"OFR 2016-1155 GIS Data"},{"id":328555,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2016/1155/ofr20161155_SanPedroGravity2014-2015_RelativeGravity.txt","text":"Relative gravity","size":"12 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1155 Relative gravity"}],"country":"United States","state":"Arizona","otherGeospatial":"Upper San Pedro Basin, Sierra Vista Subwatershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.33912658691406,\n 31.439794704219466\n ],\n [\n -110.33912658691406,\n 31.633506308954388\n ],\n [\n -110.09880065917969,\n 31.633506308954388\n ],\n [\n -110.09880065917969,\n 31.439794704219466\n ],\n [\n -110.33912658691406,\n 31.439794704219466\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
http://az.water.usgs.gov
The work explained in this report was conducted to assess geomorphic adjustment of the lower White River, Arkansas, to hydrologic modifications and establish forest age and community structure within selected communities within the floodplain. Also, the HEC–GeoRAS model was evaluated for predicting flood depth and duration within the floodplain. Hydrologic modeling using HEC–GeoRAS is a common way to model flooding in a floodplain. A parameterized model exists for the White River, Arkansas, based on observed flows at gauges, but its ability to reproduce current and future hydrological conditions throughout the floodplain has not been quantified. The objectives of this work are to—
\nThis study provides baseline information on the current geomorphic and hydrologic conditions of the river and can assist in the interpretation of forest responses to past hydrologic and geomorphic processes. Understanding the implications for floodplain forests of geomorphic adjustment in the Lower Mississippi Alluvial Valley is key to managing the region’s valuable resources for a sustainable future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161113","usgsCitation":"King, S.L., Keim, R.F., Hupp, C.R., Edwards, B.L., Kroschel, W.A., Johnson, E.L., and Cochran, J.W., 2016, Altered hydrologic and geomorphic processes and bottomland hardwood plant communities of the lower White River Basin: U.S. Geological Survey Open-File Report 2016–1113, 32 p., https://dx.doi.org/10.3133/ofr20161113. ","productDescription":"v, 33 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073365","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":328275,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1113/ofr20161113.pdf","text":"Report","size":"1.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1113"},{"id":328274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1113/coverthb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Lower White River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.461181640625,\n 34.01851844336969\n ],\n [\n -91.461181640625,\n 34.856636719051735\n ],\n [\n -90.9613037109375,\n 34.856636719051735\n ],\n [\n -90.9613037109375,\n 34.01851844336969\n ],\n [\n -91.461181640625,\n 34.01851844336969\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Louisiana Water Science Center
U.S. Geological Survey
3535 South Sherwood Forest Blvd.
Suite 120
Baton Rouge, LA 70816
http://la.water.usgs.gov/
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater fish species such as largemouth bass (Micropterus salmoides). Recent declining walleye and increasing largemouth bass populations have raised questions regarding the future trajectories and management actions for these species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake-specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, US, under contemporary (1989–2014) and future (2040–2064 and 2065–2089) conditions. We correlated contemporary walleye recruitment and largemouth bass relative abundance to modeled water temperature, lake morphometry, and lake productivity, and projected lake-specific changes in each species under future climate conditions. Walleye recruitment success was negatively related and largemouth bass abundance was positively related to water temperature degree days. Both species exhibited a threshold response at the same degree day value, albeit in opposite directions. Degree days were predicted to increase in the future, although the magnitude of increase varied among lakes, time periods, and global circulation models (GCMs). Under future conditions, we predicted a loss of walleye recruitment in 33–75% of lakes where recruitment is currently supported and a 27–60% increase in the number of lakes suitable for high largemouth bass abundance. The percentage of lakes capable of supporting abundant largemouth bass but failed walleye recruitment was predicted to increase from 58% in contemporary conditions to 86% by mid-century and to 91% of lakes by late century, based on median projections across GCMs. Conversely, the percentage of lakes with successful walleye recruitment and low largemouth bass abundance was predicted to decline from 9% of lakes in contemporary conditions to only 1% of lakes in both future periods. Importantly, we identify up to 85 resilient lakes predicted to continue to support natural walleye recruitment. Management resources could target preserving these resilient walleye populations.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13462","usgsCitation":"Hansen, G., Read, J.S., Hansen, J.F., and Winslow, L., 2016, Projected shifts in fish species dominance in Wisconsin lakes under climate change: Global Change Biology, v. 23, no. 4, p. 1463-1476, https://doi.org/10.1111/gcb.13462.","productDescription":"14 p.","startPage":"1463","endPage":"1476","ipdsId":"IP-073795","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":470572,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13462","text":"Publisher Index Page"},{"id":438550,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X0655K","text":"USGS data release","linkHelpText":"Projected shifts in fish species dominance in Wisconsin lakes under climate 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A.","affiliations":[{"id":27469,"text":"Wisconsin Department of Natural Resources, Madison, Wisconsin","active":true,"usgs":false}],"preferred":false,"id":648580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":648578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jonathan F.","contributorId":171519,"corporation":false,"usgs":false,"family":"Hansen","given":"Jonathan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":648581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176389,"text":"70176389 - 2016 - Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection","interactions":[],"lastModifiedDate":"2016-09-12T11:35:59","indexId":"70176389","displayToPublicDate":"2016-09-12T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection","docAbstract":"Sensors and enabling technologies are becoming increasingly important tools for water quality monitoring and associated water resource management decisions. In particular, nutrient sensors are of interest because of the well-known adverse effects of nutrient enrichment on coastal hypoxia, harmful algal blooms, and impacts to human health. Accurate and timely information on nutrient concentrations and loads is integral to strategies designed to minimize risk to humans and manage the underlying drivers of water quality impairment. Using nitrate sensors as an example, we highlight the types of applications in freshwater and coastal environments that are likely to benefit from continuous, real-time nutrient data. The concurrent emergence of new tools to integrate, manage and share large data sets is critical to the successful use of nutrient sensors and has made it possible for the field of continuous nutrient monitoring to rapidly move forward. We highlight several near-term opportunities for Federal agencies, as well as the broader scientific and management community, that will help accelerate sensor development, build and leverage sites within a national network, and develop open data standards and data management protocols that are key to realizing the benefits of a large-scale, integrated monitoring network. Investing in these opportunities will provide new information to guide management and policies designed to protect and restore our nation’s water resources.","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12386","usgsCitation":"Pellerin, B., Stauffer, B.A., Young, D.A., Sullivan, D.J., Bricker, S.B., Walbridge, M.R., Clyde, G.A., and Shaw, D.M., 2016, Emerging tools for continuous nutrient monitoring networks: Sensors advancing science and water resources protection: Journal of the American Water Resources Association, v. 52, no. 4, p. 993-1008, https://doi.org/10.1111/1752-1688.12386.","productDescription":"16 p.","startPage":"993","endPage":"1008","ipdsId":"IP-068633","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12386","text":"Publisher Index Page"},{"id":328501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-07","publicationStatus":"PW","scienceBaseUri":"57d7c39ae4b090824ff8b8e3","contributors":{"authors":[{"text":"Pellerin, Brian A. 0000-0003-3712-7884 bpeller@usgs.gov","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":147077,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":648582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stauffer, Beth A","contributorId":174558,"corporation":false,"usgs":false,"family":"Stauffer","given":"Beth","email":"","middleInitial":"A","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":648583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Dwane A","contributorId":174559,"corporation":false,"usgs":false,"family":"Young","given":"Dwane","email":"","middleInitial":"A","affiliations":[{"id":27470,"text":"US EPA, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":648584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738 djsulliv@usgs.gov","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":1703,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"djsulliv@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bricker, Suzanne B.","contributorId":64555,"corporation":false,"usgs":false,"family":"Bricker","given":"Suzanne","email":"","middleInitial":"B.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":648586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walbridge, Mark R","contributorId":174560,"corporation":false,"usgs":false,"family":"Walbridge","given":"Mark","email":"","middleInitial":"R","affiliations":[{"id":25505,"text":"USDA Agricultural Research Service, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":648587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clyde, Gerard A","contributorId":174561,"corporation":false,"usgs":false,"family":"Clyde","given":"Gerard","email":"","middleInitial":"A","affiliations":[{"id":27471,"text":"US Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":648588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shaw, Denice M","contributorId":174562,"corporation":false,"usgs":false,"family":"Shaw","given":"Denice","email":"","middleInitial":"M","affiliations":[{"id":27470,"text":"US EPA, Office of Research and Development","active":true,"usgs":false}],"preferred":false,"id":648589,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70176246,"text":"ofr20161150 - 2016 - Marine magnetic survey and onshore gravity and magnetic survey, San Pablo Bay, northern California","interactions":[],"lastModifiedDate":"2022-01-21T16:41:13.609605","indexId":"ofr20161150","displayToPublicDate":"2016-09-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1150","title":"Marine magnetic survey and onshore gravity and magnetic survey, San Pablo Bay, northern California","docAbstract":"From November 2011 to August 2015, the U.S. Geological Survey (USGS) collected more than 1,000 line-kilometers (length of lines surveyed in kilometers) of marine magnetic data on San Pablo Bay, 98 onshore gravity stations, and over 27 line-kilometers of ground magnetic data in northern California. Combined magnetic and gravity investigations were undertaken to study subsurface geologic structures as an aid in understanding the geologic framework and earthquake hazard potential in the San Francisco Bay Area. Furthermore, marine magnetic data illuminate local subsurface geologic features in the shallow crust beneath San Pablo Bay where geologic exposure is absent.
Magnetic and gravity methods, which reflect contrasting physical properties of the subsurface, are ideal for studying San Pablo Bay. Exposed rock units surrounding San Pablo Bay consist mainly of Jurassic Coast Range ophiolite, Great Valley sequence, Franciscan Complex rocks, Miocene sedimentary rocks, and unconsolidated alluvium (Graymer and others, 2006). The contrasting magnetic and density properties of these rocks enable us to map their subsurface extent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161150","usgsCitation":"Ponce, D.A., Denton, K.M., and Watt, J.T., 2016, Marine magnetic survey and onshore gravity and magnetic survey, San Pablo Bay, northern California: U.S. Geological Survey Open-File Report 2016–1150, 14 p., https://dx.doi.org/10.3133/ofr20161150.","productDescription":"Report: iv, 14 p.; 3 Tables; Metadata","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077167","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":328401,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2016/1150/metadata_magnetic.txt","text":"Magnetic","size":"7 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1150 Magnetic Metadata"},{"id":328400,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2016/1150/metadata_gravity.txt","text":"Gravity","size":"7 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1150 Gravity Metadata"},{"id":328397,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1150/ofr20161150_table1.csv","text":"Table 1","size":"69.2 MB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2016-1150 Table 1"},{"id":328398,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1150/ofr20161150_table2.csv","text":"Table 2","size":"796 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2016-1150 Table 2"},{"id":328399,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2016/1150/ofr20161150_table4.csv","text":"Table 4","size":"19 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2016-1150 Table 4"},{"id":328396,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1150/ofr20161150.pdf","text":"Report","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1150"},{"id":328395,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1150/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.48245239257812,\n 37.966395462637834\n ],\n [\n -122.48245239257812,\n 38.134556577054134\n ],\n [\n -122.28332519531249,\n 38.134556577054134\n ],\n [\n -122.28332519531249,\n 37.966395462637834\n ],\n [\n -122.48245239257812,\n 37.966395462637834\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
http://geomaps.wr.usgs.gov/
Tidal marsh creation helps remediate global warming because tidal wetlands are especially proficient at sequestering carbon (C) in soils. However, greenhouse gas (GHG) losses can offset the climatic benefits gained from C storage depending on how these tidal marshes are constructed and managed. This study attempts to determine the GHG emissions from a 4–6 year old created brackish marsh, what environmental factors governed these emissions, and how the magnitude of the fluxes relates to other wetland ecosystems. The static flux chamber method was used to measure GHG fluxes across three distinct plant zones segregated by elevation. The major of soil GHG fluxes from the marsh were from CO2 (−48–192 mg C m-2 h-1), although it was near the lower end of values reported from other wetland types having lower salinities, and would mostly be offset by photosynthetic uptake in this created brackish marsh. Methane flux was also low (−0.33–0.86 mg C m-2 h-1), likely inhibited by the high soil SO42−and soil redox potentials poised above −150 mV in this in this created brackish marsh environment. Low N2O flux (−0.11–0.10 mg N m-2 h-1) was due to low soil NO3− and soil redox conditions favoring complete denitrification. GHG fluxes from this created brackish marsh were generally lower than those recorded from natural marshes, suggesting that C sequestration may not be offset by the radiative forcing from soil GHG emissions if projects are designed properly.
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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":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":648568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birgand, François","contributorId":174554,"corporation":false,"usgs":false,"family":"Birgand","given":"François","affiliations":[{"id":33914,"text":"North Carolina State University, Raleigh","active":true,"usgs":false}],"preferred":false,"id":648575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Broome, Stephen W.","contributorId":174555,"corporation":false,"usgs":false,"family":"Broome","given":"Stephen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":648576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176381,"text":"70176381 - 2016 - Assessing groundwater depletion and dynamics using GRACE and InSAR: Potential and limitations","interactions":[],"lastModifiedDate":"2019-09-06T10:31:31","indexId":"70176381","displayToPublicDate":"2016-09-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Assessing groundwater depletion and dynamics using GRACE and InSAR: Potential and limitations","docAbstract":"In the last decade, remote sensing of the temporal variation of ground level and gravity has improved our understanding of groundwater dynamics and storage. Mass changes are measured by GRACE (Gravity Recovery and Climate Experiment) satellites, whereas ground deformation is measured by processing synthetic aperture radar satellites data using the InSAR (Interferometry of Synthetic Aperture Radar) techniques. Both methods are complementary and offer different sensitivities to aquifer system processes. GRACE is sensitive to mass changes over large spatial scales (more than 100,000 km2). As such, it fails in providing groundwater storage change estimates at local or regional scales relevant to most aquifer systems, and at which most groundwater management schemes are applied. However, InSAR measures ground displacement due to aquifer response to fluid-pressure changes. InSAR applications to groundwater depletion assessments are limited to aquifer systems susceptible to measurable deformation. Furthermore, the inversion of InSAR-derived displacement maps into volume of depleted groundwater storage (both reversible and largely irreversible) is confounded by vertical and horizontal variability of sediment compressibility. During the last decade, both techniques have shown increasing interest in the scientific community to complement available in situ observations where they are insufficient. In this review, we present the theoretical and conceptual bases of each method, and present idealized scenarios to highlight the potential benefits and challenges of combining these techniques to remotely assess groundwater storage changes and other aspects of the dynamics of aquifer systems.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12453","usgsCitation":"Castellazzi, P., Martel, R., Galloway, D.L., Longuevergne, L., and Rivera, A., 2016, Assessing groundwater depletion and dynamics using GRACE and InSAR: Potential and limitations: Groundwater, v. 54, no. 6, p. 768-780, https://doi.org/10.1111/gwat.12453.","productDescription":"13 p.","startPage":"768","endPage":"780","ipdsId":"IP-065886","costCenters":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":470574,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.12453","text":"External Repository"},{"id":328496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"57d7c39ae4b090824ff8b8de","contributors":{"authors":[{"text":"Castellazzi, Pascal","contributorId":174551,"corporation":false,"usgs":false,"family":"Castellazzi","given":"Pascal","email":"","affiliations":[{"id":27468,"text":"Univ. of Quebec","active":true,"usgs":false}],"preferred":false,"id":648567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martel, Richard","contributorId":174550,"corporation":false,"usgs":false,"family":"Martel","given":"Richard","email":"","affiliations":[{"id":27468,"text":"Univ. of Quebec","active":true,"usgs":false}],"preferred":false,"id":648566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galloway, Devin L. 0000-0003-0904-5355 dlgallow@usgs.gov","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":679,"corporation":false,"usgs":true,"family":"Galloway","given":"Devin","email":"dlgallow@usgs.gov","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":648565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longuevergne, Laurent","contributorId":83014,"corporation":false,"usgs":true,"family":"Longuevergne","given":"Laurent","email":"","affiliations":[],"preferred":false,"id":648577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rivera, Alfonso","contributorId":174549,"corporation":false,"usgs":false,"family":"Rivera","given":"Alfonso","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":648564,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176368,"text":"70176368 - 2016 - Evaluating harvest-based control of invasive fish with telemetry: Performance of sea lamprey traps in the Great Lakes","interactions":[],"lastModifiedDate":"2016-09-12T10:22:44","indexId":"70176368","displayToPublicDate":"2016-09-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating harvest-based control of invasive fish with telemetry: Performance of sea lamprey traps in the Great Lakes","docAbstract":"Physical removal (e.g., harvest via traps or nets) of mature individuals may be a cost-effective or socially acceptable alternative to chemical control strategies for invasive species, but requires knowledge of the spatial distribution of a population over time. We used acoustic telemetry to determine the current and possible future role of traps to control and assess invasive sea lampreys, Petromyzon marinus, in the St. Marys River, the connecting channel between Lake Superior and Lake Huron. Exploitation rates (i.e., fractions of an adult sea lamprey population removed by traps) at two upstream locations were compared among three years and two points of entry to the system. Telemetry receivers throughout the drainage allowed trap performance (exploitation rate) to be partitioned into two components: proportion of migrating sea lampreys that visited trap sites (availability) and proportion of available sea lampreys that were caught by traps (local trap efficiency). Estimated exploitation rates were well below those needed to provide population control in the absence of lampricides and were limited by availability and local trap efficiency. Local trap efficiency estimates for acoustic-tagged sea lampreys were lower than analogous estimates regularly obtained using traditional mark–recapture methods, suggesting that abundance had been previously underestimated. Results suggested major changes would be required to substantially increase catch, including improvements to existing traps, installation of new traps, or other modifications to attract and retain more sea lampreys. This case study also shows how bias associated with telemetry tags can be estimated and incorporated in models to improve inferences about parameters that are directly relevant to fishery management.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-2251.1","usgsCitation":"Holbrook, C., Bergstedt, R.A., Barber, J.M., Bravener, G.A., Jones, M., and Krueger, C., 2016, Evaluating harvest-based control of invasive fish with telemetry: Performance of sea lamprey traps in the Great Lakes: Ecological Applications, v. 26, no. 6, p. 1595-1609, https://doi.org/10.1890/15-2251.1.","productDescription":"15 p.","startPage":"1595","endPage":"1609","ipdsId":"IP-071490","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":328497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-02","publicationStatus":"PW","scienceBaseUri":"57d7c39be4b090824ff8b8e6","contributors":{"authors":[{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":648553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":648554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Jessica M.","contributorId":173285,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":648555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bravener, Gale A","contributorId":174546,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","email":"","middleInitial":"A","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":648556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Michael L.","contributorId":119922,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":648557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":648558,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176366,"text":"70176366 - 2016 - Ionic molal conductivities, activity coefficients, and dissociation constants of HAsO42− and H2AsO4− from 5 to 90°C and ionic strengths from 0.001 up to 3 mol kg−1 and applications in natural systems","interactions":[],"lastModifiedDate":"2017-02-11T17:00:09","indexId":"70176366","displayToPublicDate":"2016-09-09T16:55:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Ionic molal conductivities, activity coefficients, and dissociation constants of HAsO42− and H2AsO4− from 5 to 90°C and ionic strengths from 0.001 up to 3 mol kg−1 and applications in natural systems","docAbstract":"Arsenic is known to be one of the most toxic inorganic elements, causing worldwide environmental contamination. However, many fundamental properties related to aqueous arsenic species are not well known which will inhibit our ability to understand the geochemical behavior of arsenic (e.g. speciation, transport, and solubility). Here, the electrical conductivity of Na2HAsO4 solutions has been measured over the concentration range of 0.001–1 mol kg−1 and the temperature range of 5–90°C. Ionic strength and temperature-dependent equations were derived for the molal conductivity of HAsO42−and H2AsO4− aqueous ions. Combined with speciation calculations and the approach used by McCleskey et al. (2012b), these equations can be used to calculate the electrical conductivities of arsenic-rich waters having a large range of effective ionic strengths (0.001–3 mol kg−1) and temperatures (5–90°C). Individual ion activity coefficients for HAsO42− and H2AsO4− in the form of the Hückel equation were also derived using the mean salt method and the mean activity coefficients of K2HAsO4 (0.001–1 mol kg−1) and KH2AsO4 (0.001–1.3 mol kg−1). A check on these activity coefficients was made by calculating mean activity coefficients for Na2HAsO4 and NaH2AsO4 solutions and comparing them to measured values. At the same time Na-arsenate complexes were evaluated. The NaH2AsO40 ion pair is negligible in NaH2AsO4 solutions up to 1.3 mol kg−1. The NaHAsO4− ion pair is important in NaHAsO4 solutions >0.1 mol kg−1 and the formation constant of 100.69 was confirmed. The enthalpy, entropy, free energy and heat capacity for the second and third arsenic acid dissociation reactions were calculated from pH measurements. These properties have been incorporated into a widely used geochemical calculation code WATEQ4F and applied to natural arsenic waters. For arsenic spiked water samples from Yellowstone National Park, the mean difference between the calculated and measured conductivities have been improved from −18% to −1.0% with a standard deviation of 2.4% and the mean charge balances have been improved from 28% to 0.6% with a standard deviation of 1.5%.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2016.08.006","usgsCitation":"Zhu, X., Nordstrom, D.K., McCleskey, R.B., and Wang, R., 2016, Ionic molal conductivities, activity coefficients, and dissociation constants of HAsO42− and H2AsO4− from 5 to 90°C and ionic strengths from 0.001 up to 3 mol kg−1 and applications in natural systems: Chemical Geology, v. 441, p. 177-190, https://doi.org/10.1016/j.chemgeo.2016.08.006.","productDescription":"14 p.","startPage":"177","endPage":"190","ipdsId":"IP-078044","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"441","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3cf23e4b0571647d15f53","contributors":{"authors":[{"text":"Zhu, Xiangyu","contributorId":174541,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiangyu","email":"","affiliations":[{"id":27467,"text":"State Key Laboratory for Mineral Deposits Research, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China","active":true,"usgs":false}],"preferred":false,"id":648544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":648543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":648545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Rucheng","contributorId":174542,"corporation":false,"usgs":false,"family":"Wang","given":"Rucheng","email":"","affiliations":[{"id":27467,"text":"State Key Laboratory for Mineral Deposits Research, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China","active":true,"usgs":false}],"preferred":false,"id":648546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}