Historical mining activity (1850–1970) in the now inactive Tri-State Mining District provided an ongoing source of lead and zinc to the environment including the US Environmental Protection Agency Superfund site located in Cherokee County, southeast Kansas, USA. The resultant contamination adversely affected biota and caused human health problems and risks. Remediation in the Superfund site requires an understanding of the magnitude and extent of contamination. To provide some of the required information, a series of sediment and soil investigations were conducted in and near the Superfund site to characterize lead and zinc contamination in the aquatic and floodplain environments along the main-stem Spring River and its major tributaries. In the Superfund site, the most pronounced lead and zinc contamination, with concentrations that far exceed sediment quality guidelines associated with potential adverse biological effects, was measured for streambed sediments and floodplain soils located within or downstream from the most intensive mining-affected areas. Tributary streambeds and floodplains in affected areas are heavily contaminated with some sites having lead and zinc concentrations that are an order of magnitude (or more) greater than the sediment quality guidelines. For the main-stem Spring River, the streambed is contaminated but the floodplain is mostly uncontaminated. Measured lead and zinc concentrations in streambed sediments, lakebed sediments, and floodplain soils documented a persistence of the post-mining contamination on a decadal timescale. These results provide a basis for the prioritization, development, and implementation of plans to remediate contamination in the affected aquatic and floodplain environments within the Superfund site.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0729-8","usgsCitation":"Juracek, K.E., and Drake, K.D., 2016, Mining-related sediment and soil contamination in a large Superfund site: Characterization, habitat implications, and remediation: Environmental Management, v. 58, no. 4, p. 721-740, https://doi.org/10.1007/s00267-016-0729-8.","productDescription":"20 p.","startPage":"721","endPage":"740","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071176","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":325360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Cherokee County","otherGeospatial":"Spring River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.93698120117188,\n 37.00035919622158\n ],\n [\n -94.93698120117188,\n 37.323212446730174\n ],\n [\n -94.61975097656249,\n 37.323212446730174\n ],\n [\n -94.61975097656249,\n 37.00035919622158\n ],\n [\n -94.93698120117188,\n 37.00035919622158\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"578defa4e4b0f1bea0e03bd1","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, K. D.","contributorId":172945,"corporation":false,"usgs":false,"family":"Drake","given":"K.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":642717,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174830,"text":"70174830 - 2016 - Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China","interactions":[],"lastModifiedDate":"2019-09-09T09:33:20","indexId":"70174830","displayToPublicDate":"2016-07-18T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China","docAbstract":"Contemporary applications of radar altimetry include sea-level rise, ocean circulation, marine gravity, and ice sheet elevation change. Unlike InSAR and GNSS, which are widely used to map surface deformation, altimetry is neither reliant on highly temporally-correlated ground features nor as limited by the available spatial coverage, and can provide long-term temporal subsidence monitoring capability. Here we use multi-mission radar altimetry with an approximately 23 year data-span to quantify land subsidence in cropland areas. Subsidence rates from TOPEX/POSEIDON, JASON-1, ENVISAT, and JASON-2 during 1992–2015 show time-varying trends with respect to displacement over time in California’s San Joaquin Valley and central Taiwan, possibly related to changes in land use, climatic conditions (drought) and regulatory measures affecting groundwater use. Near Hanford, California, subsidence rates reach 18 cm/yr with a cumulative subsidence of 206 cm, which potentially could adversely affect operations of the planned California High-Speed Rail. The maximum subsidence rate in central Taiwan is 8 cm/yr. Radar altimetry also reveals time-varying subsidence in the North China Plain consistent with the declines of groundwater storage and existing water infrastructure detected by the Gravity Recovery And Climate Experiment (GRACE) satellites, with rates reaching 20 cm/yr and cumulative subsidence as much as 155 cm.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep28160","usgsCitation":"Hwang, C., Yang, Y., Kao, R., Han, J., Shum, C., Galloway, D.L., Sneed, M., Hung, W., Cheng, Y., and Li, F., 2016, Time-varying land subsidence detected by radar altimetry: California, Taiwan and north China: Scientific Reports, v. 6, p. 1-12, https://doi.org/10.1038/srep28160.","productDescription":"Article 28160; 12 p.","startPage":"1","endPage":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066742","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":470742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep28160","text":"Publisher Index Page"},{"id":325357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Taiwan, United States","state":"California","volume":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"578defa4e4b0f1bea0e03bd5","contributors":{"authors":[{"text":"Hwang, Cheinway 0000-0002-3322-353X","orcid":"https://orcid.org/0000-0002-3322-353X","contributorId":172932,"corporation":false,"usgs":false,"family":"Hwang","given":"Cheinway","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Yuande","contributorId":172933,"corporation":false,"usgs":false,"family":"Yang","given":"Yuande","email":"","affiliations":[{"id":27121,"text":"Chinese Antarctic Center of Surveying and Mapping, Wuhan University, China","active":true,"usgs":false}],"preferred":false,"id":642677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kao, Ricky","contributorId":172934,"corporation":false,"usgs":false,"family":"Kao","given":"Ricky","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Han, Jiancheng","contributorId":172935,"corporation":false,"usgs":false,"family":"Han","given":"Jiancheng","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shum, C.K.","contributorId":172936,"corporation":false,"usgs":false,"family":"Shum","given":"C.K.","email":"","affiliations":[{"id":27122,"text":"Division of Geodetic Science, School of Earth Science, the Ohio State University","active":true,"usgs":false}],"preferred":false,"id":642680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","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},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642675,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642681,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hung, Wei-Chia","contributorId":172937,"corporation":false,"usgs":false,"family":"Hung","given":"Wei-Chia","email":"","affiliations":[{"id":27123,"text":"Green Environmental Engineering Consultant Co. LTD, Hsinchu, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642682,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cheng, Yung-Sheng","contributorId":172938,"corporation":false,"usgs":false,"family":"Cheng","given":"Yung-Sheng","email":"","affiliations":[{"id":27120,"text":"Department of Civil Engineering, National Chiao Tung University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":642683,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Li, Fei","contributorId":172939,"corporation":false,"usgs":false,"family":"Li","given":"Fei","email":"","affiliations":[{"id":27121,"text":"Chinese Antarctic Center of Surveying and Mapping, Wuhan University, China","active":true,"usgs":false}],"preferred":false,"id":642684,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70174832,"text":"70174832 - 2016 - Estimating carbon sequestration in the piedmont ecoregion of the United States from 1971 to 2010","interactions":[],"lastModifiedDate":"2017-04-07T13:54:11","indexId":"70174832","displayToPublicDate":"2016-07-18T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1183,"text":"Carbon Balance and Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating carbon sequestration in the piedmont ecoregion of the United States from 1971 to 2010","docAbstract":"Background: Human activities have diverse and profound impacts on ecosystem carbon cycles. The Piedmont ecoregion in the eastern United States has undergone significant land use and land cover change in the past few decades. The purpose of this study was to use newly available land use and land cover change data to quantify carbon changes within the ecoregion. Land use and land cover change data (60-m spatial resolution) derived from sequential remotely sensed Landsat imagery were used to generate 960-m resolution land cover change maps for the Piedmont ecoregion. These maps were used in the Integrated Biosphere Simulator (IBIS) to simulate ecosystem carbon stock and flux changes from 1971 to 2010. Results: Results show that land use change, especially urbanization and forest harvest had significant impacts on carbon sources and sinks. From 1971 to 2010, forest ecosystems sequestered 0.25 Mg C ha−1 yr−1, while agricultural ecosystems sequestered 0.03 Mg C ha−1 yr−1. The total ecosystem C stock increased from 2271 Tg C in 1971 to 2402 Tg C in 2010, with an annual average increase of 3.3 Tg C yr−1. Conclusions: Terrestrial lands in the Piedmont ecoregion were estimated to be weak net carbon sink during the study period. The major factors contributing to the carbon sink were forest growth and afforestation; the major factors contributing to terrestrial emissions were human induced land cover change, especially urbanization and forest harvest. An additional amount of carbon continues to be stored in harvested wood products. If this pool were included the carbon sink would be stronger. Keywords: Land-use change, Carbon change, Piedmont ecoregion, IBIS model
","language":"English","publisher":"Springer","doi":"10.1186/s13021-016-0052-y","usgsCitation":"Liu, J., Sleeter, B.M., Zhu, Z., Heath, L., Tan, Z., Wilson, T., Sherba, J.T., and Zhou, D., 2016, Estimating carbon sequestration in the piedmont ecoregion of the United States from 1971 to 2010: Carbon Balance and Management, v. 11, no. 10, p. 1-13, https://doi.org/10.1186/s13021-016-0052-y.","productDescription":"13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075244","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470744,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13021-016-0052-y","text":"Publisher Index Page"},{"id":325355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-13","publicationStatus":"PW","scienceBaseUri":"578defa3e4b0f1bea0e03bc9","chorus":{"doi":"10.1186/s13021-016-0052-y","url":"http://dx.doi.org/10.1186/s13021-016-0052-y","publisher":"Springer Nature","authors":"Liu Jinxun, Sleeter Benjamin M., Zhu Zhiliang, Heath Linda S., Tan Zhengxi, Wilson Tamara S., Sherba Jason, Zhou Decheng","journalName":"Carbon Balance and Management","publicationDate":"6/13/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"6/13/2016"},"contributors":{"authors":[{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":642686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":642687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":642688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heath, Linda S.","contributorId":84207,"corporation":false,"usgs":true,"family":"Heath","given":"Linda S.","affiliations":[],"preferred":false,"id":642692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Zhengxi 0000-0002-4136-0921 ztan@usgs.gov","orcid":"https://orcid.org/0000-0002-4136-0921","contributorId":2945,"corporation":false,"usgs":true,"family":"Tan","given":"Zhengxi","email":"ztan@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":642689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":642690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sherba, Jason T. jsherba@usgs.gov","contributorId":5972,"corporation":false,"usgs":true,"family":"Sherba","given":"Jason","email":"jsherba@usgs.gov","middleInitial":"T.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":642691,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Decheng","contributorId":172941,"corporation":false,"usgs":false,"family":"Zhou","given":"Decheng","email":"","affiliations":[{"id":27124,"text":"Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China","active":true,"usgs":false}],"preferred":false,"id":642693,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70174831,"text":"70174831 - 2016 - Fifty-seventh supplement to the American Ornithologists' Union Check-list of North American Birds","interactions":[],"lastModifiedDate":"2017-10-24T15:18:19","indexId":"70174831","displayToPublicDate":"2016-07-18T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Fifty-seventh supplement to the American Ornithologists' Union Check-list of North American Birds","docAbstract":"This is the 16th supplement since publication of the 7th edition of the Check-list of North American Birds (American Ornithologists' Union [AOU] 1998). It summarizes decisions made between April 15, 2015, and April 15, 2016, by the AOU's Committee on Classification and Nomenclature—North and Middle America. The Committee has continued to operate in the manner outlined in the 42nd Supplement (AOU 2000).
","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-16-77.1","usgsCitation":"Chesser, R., Burns, K., Cicero, C., Dunn, J.L., Kratter, A.W., Lovette, I.J., Rasmussen, P.C., Remsen, J., Rising, J.D., Stotz, D.F., and Winker, K., 2016, Fifty-seventh supplement to the American Ornithologists' Union Check-list of North American Birds: The Auk, v. 133, no. 3, p. 544-560, https://doi.org/10.1642/AUK-16-77.1.","productDescription":"17 p.","startPage":"544","endPage":"560","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077028","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-16-77.1","text":"Publisher Index Page"},{"id":325356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"133","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578defa3e4b0f1bea0e03bcd","contributors":{"authors":[{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":642685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Kevin J","contributorId":145564,"corporation":false,"usgs":false,"family":"Burns","given":"Kevin J","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":642704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cicero, Carla","contributorId":145565,"corporation":false,"usgs":false,"family":"Cicero","given":"Carla","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":642705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, Jon L.","contributorId":145566,"corporation":false,"usgs":false,"family":"Dunn","given":"Jon","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":642706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kratter, Andrew W.","contributorId":145567,"corporation":false,"usgs":false,"family":"Kratter","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":16151,"text":"Univ Fla","active":true,"usgs":false}],"preferred":false,"id":642707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovette, Irby J.","contributorId":145573,"corporation":false,"usgs":false,"family":"Lovette","given":"Irby","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":642708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rasmussen, Pamela C.","contributorId":145569,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Pamela","email":"","middleInitial":"C.","affiliations":[{"id":16153,"text":"Mich St Univ","active":true,"usgs":false}],"preferred":false,"id":642709,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Remsen, J.V. Jr.","contributorId":82258,"corporation":false,"usgs":true,"family":"Remsen","given":"J.V.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":642710,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rising, James D.","contributorId":145571,"corporation":false,"usgs":false,"family":"Rising","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":16155,"text":"Univ Toronto","active":true,"usgs":false}],"preferred":false,"id":642711,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stotz, Douglas F.","contributorId":145572,"corporation":false,"usgs":false,"family":"Stotz","given":"Douglas","email":"","middleInitial":"F.","affiliations":[{"id":16156,"text":"FMNH","active":true,"usgs":false}],"preferred":false,"id":642712,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Winker, Kevin","contributorId":140814,"corporation":false,"usgs":false,"family":"Winker","given":"Kevin","email":"","affiliations":[{"id":13586,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":642713,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70174021,"text":"ofr20161108 - 2016 - Pacific walrus coastal haulout database, 1852-2016— Background report","interactions":[],"lastModifiedDate":"2018-06-16T17:47:52","indexId":"ofr20161108","displayToPublicDate":"2016-07-18T12:00:00","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":"2016-1108","title":"Pacific walrus coastal haulout database, 1852-2016— Background report","docAbstract":"Walruses are large benthic predators that rest out of water between foraging bouts. Coastal “haulouts” (places where walruses rest) are formed by adult males in summer and sometimes by females and young when sea ice is absent, and are often used repeatedly across seasons and years. Understanding the geography and historical use of haulouts provides a context for conservation efforts. We summarize information on Pacific walrus haulouts from available reports (n =151), interviews with coastal residents and aviators, and personal observations of the authors. We provide this in the form of a georeferenced database that can be queried and displayed with standard geographic information system and database management software. The database contains 150 records of Pacific walrus haulouts, with a summary of basic characteristics on maximum haulout aggregation size, age-sex composition, season of use, and decade of most recent use. Citations to reports are provided in the appendix and as a bibliographic database. Haulouts were distributed across the coasts of the Pacific walrus range; however, the largest (maximum >10,000 walruses) of the haulouts reported in the recent 4 decades (n=19) were concentrated on the Russian shores in regions near the Bering Strait and northward into the western Chukchi Sea (n=17). Haulouts of adult female and young walruses primarily occurred in the Bering Strait region and areas northward, with others occurring in the central Bering Sea, Gulf of Anadyr, and Saint Lawrence Island regions. The Gulf of Anadyr was the only region to contain female and young walrus haulouts, which formed after the northward spring migration and prior to autumn ice formation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161108","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and Chukot-TINRO and Institute of Biological Problems of the North Far East Branch of Russian Academy of Sciences","usgsCitation":"Fischbach, A.S., Kochnev, A.A., Garlich-Miller, J.L., and Jay, C.V., 2016, Pacific walrus coastal haulout database, 1852-2016— Background report: U.S. Geological Survey Open-File Report 2016-1108, Report: iv, 27 p.; Data Release, https://doi.org/10.3133/ofr20161108.","productDescription":"Report: iv, 27 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076335","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":325339,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7RX994P","text":"USGS data release","description":"USGS data release","linkHelpText":"Pacific Walrus Coastal Haulout Database, 1852-2016"},{"id":438584,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VD6WK5","text":"USGS data release","linkHelpText":"ArcGIS Mapping Service for Pacific Walrus Coastal Haulouts"},{"id":438583,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RX994P","text":"USGS data release","linkHelpText":"Pacific Walrus Coastal Haulout Database 1852-2016"},{"id":325338,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1108/ofr20161108.pdf","text":"Report","size":"1.3","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1108 Report PDF"},{"id":325337,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1108/coverthb.jpg"}],"country":"Russia, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -203.642578125,\n 50.12057809796008\n ],\n [\n -203.642578125,\n 72.18180355624855\n ],\n [\n -149.765625,\n 72.18180355624855\n ],\n [\n -149.765625,\n 50.12057809796008\n ],\n [\n -203.642578125,\n 50.12057809796008\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Alaska Science Center
U.S. Geological Survey
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The authors developed a package, LW1949, for use with the statistical software R to automatically carry out the manual steps of Litchfield and Wilcoxon's method of evaluating dose–effect experiments. The LW1949 package consistently finds the best fitting dose–effect relation by minimizing the chi-squared statistic of the observed and expected number of affected individuals and substantially speeds up the line-fitting process and other calculations that Litchfield and Wilcoxon originally carried out by hand. Environ Toxicol Chem 2016;9999:1–4. Published 2016 Wiley Periodicals Inc. on behalf of SETAC. This article is a US Government work and, as such, is in the public domain in the United States of America.
","language":"English","publisher":"SETAC","publisherLocation":"New York, NY","doi":"10.1002/etc.3490","usgsCitation":"Adams, J.V., Slaght, K., and Boogaard, M.A., 2016, An automated approach to Litchfield and Wilcoxon's evaluation of dose–effect experiments using the R package LW1949: Environmental Toxicology and Chemistry, v. 35, no. 12, p. 3058-3061, https://doi.org/10.1002/etc.3490.","productDescription":"4 p.","startPage":"3058","endPage":"3061","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071112","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"12","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-13","publicationStatus":"PW","scienceBaseUri":"57a315bae4b006cb45558a27","contributors":{"authors":[{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slaght, Karen kslaght@usgs.gov","contributorId":173404,"corporation":false,"usgs":true,"family":"Slaght","given":"Karen","email":"kslaght@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":644514,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175240,"text":"70175240 - 2016 - Arctic sea ice decline contributes to thinning lake ice trend in northern Alaska","interactions":[],"lastModifiedDate":"2016-08-03T09:43:31","indexId":"70175240","displayToPublicDate":"2016-07-18T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Arctic sea ice decline contributes to thinning lake ice trend in northern Alaska","docAbstract":"Field measurements, satellite observations, and models document a thinning trend in seasonal Arctic lake ice growth, causing a shift from bedfast to floating ice conditions. September sea ice concentrations in the Arctic Ocean since 1991 correlate well (r = +0.69,p < 0.001) to this lake regime shift. To understand how and to what extent sea ice affects lakes, we conducted model experiments to simulate winters with years of high (1991/92) and low (2007/08) sea ice extent for which we also had field measurements and satellite imagery characterizing lake ice conditions. A lake ice growth model forced with Weather Research and Forecasting model output produced a 7% decrease in lake ice growth when 2007/08 sea ice was imposed on 1991/92 climatology and a 9% increase in lake ice growth for the opposing experiment. Here, we clearly link early winter 'ocean-effect' snowfall and warming to reduced lake ice growth. Future reductions in sea ice extent will alter hydrological, biogeochemical, and habitat functioning of Arctic lakes and cause sub-lake permafrost thaw.
","language":"English","publisher":"Institute of Physics","publisherLocation":"London","doi":"10.1088/1748-9326/11/7/074022","usgsCitation":"Alexeev, V., Arp, C.D., Jones, B.M., and Cai, L., 2016, Arctic sea ice decline contributes to thinning lake ice trend in northern Alaska: Environmental Research Letters, v. 11, no. 7, https://doi.org/10.1088/1748-9326/11/7/074022.","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071294","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":470745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/7/074022","text":"Publisher Index Page"},{"id":326013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"11","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57a315bbe4b006cb45558a2d","contributors":{"authors":[{"text":"Alexeev, Vladimir","contributorId":173393,"corporation":false,"usgs":false,"family":"Alexeev","given":"Vladimir","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":644494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":644495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","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":644493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cai, Lei","contributorId":173394,"corporation":false,"usgs":false,"family":"Cai","given":"Lei","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":644496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70170068,"text":"sir20165042 - 2016 - Effects of aquifer storage and recovery activities on water quality in the Little Arkansas River and Equus Beds Aquifer, south-central Kansas, 2011–14","interactions":[],"lastModifiedDate":"2017-05-02T07:42:28","indexId":"sir20165042","displayToPublicDate":"2016-07-18T00:00:00","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":"2016-5042","title":"Effects of aquifer storage and recovery activities on water quality in the Little Arkansas River and Equus Beds Aquifer, south-central Kansas, 2011–14","docAbstract":"The Equus Beds aquifer in south-central Kansas is aprimary water source for the city of Wichita. The Equus Beds aquifer storage and recovery (ASR) project was developed to help the city of Wichita meet increasing current (2016) and future water demands. The Equus Beds ASR project pumps water out of the Little Arkansas River during above-base flow conditions, treats it using drinking-water quality standards as a guideline, and recharges it into the Equus Beds aquifer for later use. Phase II of the Equus Beds ASR project currently (2016) includes a river intake facility and a surface-water treatment facility with a 30 million gallon per day capacity. Water diverted from the Little Arkansas River is delivered to an adjacent presedimentation basin for solids removal. Subsequently, waste from the surface-water treatment facility and the presedimentation basin is returned to the Little Arkansas River through a residuals return line. The U.S. Geological Survey, in cooperation with the city of Wichita, developed and implemented a hydrobiological monitoring program as part of the ASR project to characterize and quantify the effects of aquifer storage and recovery activities on the Little Arkansas River and Equus Beds aquifer water quality.
Data were collected from 2 surface-water sites (one upstream and one downstream from the residuals return line), 1 residuals return line site, and 2 groundwater well sites (each having a shallow and deep part): the Little Arkansas River upstream from the ASR facility near Sedgwick, Kansas (upstream surface-water site 375350097262800), about 0.03 mile (mi) upstream from the residuals return line site; the Little Arkansas River near Sedgwick, Kans. (downstream surface-water site 07144100), about 1.68 mi downstream from the residuals return line site; discharge from the Little Arkansas River ASR facility near Sedgwick, Kansas (residuals return line site 375348097262800); 25S 01 W 07BCCC01 SMW–S11 near CW36 (MW–7 shallow groundwater well site 375327097285401); 25S01 W 07BCCC02 DMW–S10 near CW36 (MW–7 deep groundwater well site 375327097285402); 25S 01W 07BCCA01 SMW–S13 near CW36 (MW–8 shallow groundwater well site 375332097284801); and 25S 01W 07BCCA02 DMW–S14 near CW36 (MW–8 deep groundwater well site 375332097284802). The U.S. Geological Survey, in cooperation with the city of Wichita, assessed the effects of the ASR Phase II facility residuals return line discharges on stream quality of the Little Arkansas River by measuring continuous physicochemical properties and collecting discrete water-quality and sediment samples for about 2 years pre- (January 2011 through April 2013) and post-ASR (May 2013 through December 2014) Phase II facility operation upstream and downstream from the ASR Phase II facility. Additionally, habitat variables were quantified and macroinvertebrate and fish communities were sampled upstream and downstream from the ASR Phase II facility during the study period. To assess the effects of aquifer recharge on Equus Beds groundwater quality, continuous physicochemical properties were measured and discrete water-quality samples were collected before and during the onset of Phase II aquifer recharge in two (shallow and deep) groundwater wells.
Little Arkansas River streamflow was about 10 times larger after the facility began operating because of greater rainfall. Residuals return line release volumes were a very minimal proportion (0.06 percent) of downstream streamflow volume during the months the ASR facility was operating. Upstream and downstream continuously measured water temperature and dissolved oxygen median differences were smaller post-ASR than pre-ASR. Turbidity generally was smaller at the downstream site throughout the study period and decreased at both sites after the ASR Phase II facility began discharging despite a median residuals return line turbidity that was about an order of magnitude larger than the median turbidity at the downstream site. Upstream and downstream continuously measured turbidity median differences were larger post-ASR than pre-ASR. Median post-ASR continuously measured nitrite plus nitrate and continuously computed total suspended solids and suspended-sediment concentrations were smaller than pre-ASR likely because of higher streamflows and dilution; whereas, median continuously computed dissolved and total organic carbon concentrations were larger likely because of higher streamflows and runoff conditions.
None of the discretely measured water-quality constituents (dissolved and suspended solids, primary ions, suspended sediment, nutrients, carbon, trace elements, viral and bacterial indicators, and pesticides) in surface water were significantly different between the upstream and downstream sites after the ASR Phase II facility began discharging; however, pre-ASR calcium, sodium, hardness, manganese, and arsenate concentrations were significantly larger at the upstream site, which indicates that some water-quality conditions at the upstream and downstream sites were more similar post-ASR. Most of the primary constituents that make up dissolved solids decreased at both sites after the ASR Phase II facility began operation. Discretely collected total suspended solids concentrations were similar between the upstream and downstream sites before the facility began operating but were about 27 percent smaller at the downstream site after the facility began operating, despite the total suspended solids concentrations in the residuals return line being 15 times larger than the downstream site.
Overall habitat scores were indicative of suboptimal conditions upstream and downstream from the ASR Phase II facility throughout the study period. Substrate fouling and sediment deposition mean scores indicated marginal conditions at the upstream and downstream sites during the study period, demonstrating that sediment deposition was evident pre- and post-ASR and no substantial changes in these habitat characteristics were noted after the ASR Phase II facility began discharging. Macroinvertebrate community composition (evaluated using functional feeding, behavioral, and tolerance metrics) generally was similar between sites during the study period. Fewer macroinvertebrate metrics were significant between the upstream and downstream sites post-ASR (6) than pre-ASR (14), which suggests that macroinvertebate communities were more similar after the ASR facility began discharging. Upstream-downstream comparisons in macroinvertebrate aquatic-life-support metrics had no significant differences for the post-ASR time period and neither site was fully supporting for any of the Kansas Department of Health and Environment aquatic-life-support metrics (Macroinvertebrate Biotic Index; Kansas Biotic Index with tolerances for nutrients and oxygen-demanding substances; Ephemeroptera, Plecoptera, and Trichoptera [EPT] richness; and percentage of EPT species). Overall, using macroinvertebrate aquatic life-support criteria from the Kansas Department of Health and Environment, upstream and downstream sites were classified as partially supporting before and after the onset of ASR facility operations. Fish community trophic status and tolerance groups generally were similar among sites during the study period. Fish community Little Arkansas River Basin Index of Biotic Integrity scores at the upstream and downstream sites were indicative of fair-to-good conditions before the facility began operating and decreased to fair conditions after the facility began operating.
Groundwater physicochemical changes concurrent with the beginning of recharge operations at the Sedgwick basin were more pronounced in shallow groundwater. No constituent concentrations in the pre-recharge period in comparison to the post-recharge period increased to concentrations exceeding drinking water regulations; however, nitrate decreased significantly from a pre-recharge exceedance of the U.S. Environmental Protection Agency maximum contaminant level to a post recharge nonexceedance. Shallow groundwater chemical concentrations or rates of detection increased after artificial recharge began for the ions potassium, chloride, and fluoride; phosphorus and organic carbon species; trace elements barium, manganese, nickel, arsenate, arsenic, and boron; agricultural pesticides atrazine, metolachlor, metribuzin, and simazine; organic disinfection byproducts bromodichloromethane and trichloromethane; and gross beta levels. Additionally, water temperature, and pH were larger after recharge began; and total solids and slime-forming bacteria concentrations and densities were smaller. Total solids, nitrate, and selenium significantly decreased; and potassium, chloride, nickel, arsenic, fluoride, phosphorus and carbon species, and gross beta levels significantly increased in shallow groundwater after artificial recharge. Results of biological activity reaction tests indicated that water quality microbiology was different before and after artificial recharge began; at times, these differences may lead to changes in dominant bacterial populations that, in turn, may lead to formation and expansion in populations that may cause bioplugging and other unwanted effects. Calcite, iron (II) hydroxide, hydroxyapatite, and similar minerals, had shifts in saturation indices that generally were from undersaturation toward equilibrium and, in some cases, toward oversaturation. These shifts toward neutral saturation indices might suggest reduced weathering of the minerals present in the Equus Beds aquifer. Chemical weathering in the shallow parts of the aquifer may be accelerated because of the increased water temperatures and the system is more vulnerable to clogged pores and mineral dissolution as the equilibrium state is affected by recharge and withdrawal. When oversaturation is indicated for iron minerals, plugging of aquifer materials may happen.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165042","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Stone, M.L., Garrett, J.D., Poulton, B.C., and Ziegler, A.C., 2016, Effects of aquifer storage and recovery activities on water quality in the Little Arkansas River and Equus Beds aquifer, south-central Kansas, 2011–14: U.S. Geological Survey Scientific Investigations Report 2016–5024, 88 p., https://dx.doi.org/10.3133/sir20165042.","productDescription":"Report: xii, 88 p.; Appendix Files","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068666","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":325362,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5042/sir20165042.pdf","text":"Report","size":"5.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5024"},{"id":325361,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5042/coverthb.jpg"},{"id":325363,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5042/sir20165042_appendixtables.xlsx","text":"Appendix Files","size":"199 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5024 Appendix Files"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.70416259765625,\n 38.10106333042556\n ],\n [\n -97.57232666015625,\n 38.09998264736481\n ],\n [\n -97.57781982421875,\n 38.08160859009049\n ],\n [\n -97.55035400390625,\n 38.0545795282119\n ],\n [\n -97.525634765625,\n 38.019967758742766\n ],\n [\n -97.48580932617188,\n 38.01239425385966\n ],\n [\n -97.43499755859374,\n 37.94203148678865\n ],\n [\n -97.42813110351562,\n 37.90845010709064\n ],\n [\n -97.36221313476562,\n 37.814123701604466\n ],\n [\n -97.46520996093749,\n 37.814123701604466\n ],\n [\n -97.47894287109375,\n 37.82280243352756\n ],\n [\n -97.50640869140625,\n 37.820632846207864\n ],\n [\n -97.52838134765624,\n 37.83473402375478\n ],\n [\n -97.57095336914062,\n 37.85859141570558\n ],\n [\n -97.61764526367188,\n 37.87702138607635\n ],\n [\n -97.67120361328125,\n 37.88677656291023\n ],\n [\n -97.70278930664062,\n 37.898697801966094\n ],\n [\n -97.70416259765625,\n 38.10106333042556\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
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Diversion dams can negatively affect emigrating juvenile salmon populations because fish must pass through the impounded river created by the dam, negotiate a passage route at the dam and then emigrate through a riverine reach that has been affected by reduced river discharge. To quantify the effects of a main-stem diversion dam on juvenile Chinook salmon in the Yakima River, Washington, USA, we used radio telemetry to understand how dam operations and river discharge in the 18-km reach downstream of the dam affected route-specific passage and survival. We found evidence of direct mortality associated with dam passage and indirect mortality associated with migration through the reach below the dam. Survival of fish passing over a surface spill gate (the west gate) was positively related to river discharge, and survival was similar for fish released below the dam, suggesting that passage via this route caused little additional mortality. However, survival of fish that passed under a sub-surface spill gate (the east gate) was considerably lower than survival of fish released downstream of the dam, with the difference in survival decreasing as river discharge increased. The probability of fish passing the dam via three available routes was strongly influenced by dam operations, with passage through the juvenile fish bypass and the east gate increasing with discharge through those routes. By simulating daily passage and route-specific survival, we show that variation in total survival is driven by river discharge and moderated by the proportion of fish passing through low-survival or high-survival passage routes.
","language":"English","publisher":"John Wiley & Sons, Ltd.","doi":"10.1002/rra.3059","usgsCitation":"Perry, R.W., Kock, T.J., Couter, I.I., Garrison, T.M., Hubble, J.D., and Child, D.B., 2016, Dam operations affect route-specific passage and survival of juvenile Chinook salmon at a main-stem diversion dam: River Research and Applications, v. 32, no. 10, p. 2009-2019, https://doi.org/10.1002/rra.3059.","productDescription":"11 p.","startPage":"2009","endPage":"2019","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075478","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Roza Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.47658920288085,\n 46.71350244599995\n ],\n [\n -120.47658920288085,\n 46.768910240322285\n ],\n [\n -120.43624877929688,\n 46.768910240322285\n ],\n [\n -120.43624877929688,\n 46.71350244599995\n ],\n [\n -120.47658920288085,\n 46.71350244599995\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-15","publicationStatus":"PW","scienceBaseUri":"5799db43e4b0589fa1c7e7d6","contributors":{"authors":[{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Couter, Ian I","contributorId":173194,"corporation":false,"usgs":false,"family":"Couter","given":"Ian","email":"","middleInitial":"I","affiliations":[{"id":27185,"text":"Cramer Fish Sciences, 600 NW Fariss Road, Gresham, OR 97030","active":true,"usgs":false}],"preferred":false,"id":643621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, Thomas M","contributorId":173195,"corporation":false,"usgs":false,"family":"Garrison","given":"Thomas","email":"","middleInitial":"M","affiliations":[{"id":27185,"text":"Cramer Fish Sciences, 600 NW Fariss Road, Gresham, OR 97030","active":true,"usgs":false}],"preferred":false,"id":643622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hubble, Joel D","contributorId":173196,"corporation":false,"usgs":false,"family":"Hubble","given":"Joel","email":"","middleInitial":"D","affiliations":[{"id":27186,"text":"U.S. Bureau of Reclamation, 1910 Marsh Road, Yakima, WA 98901","active":true,"usgs":false}],"preferred":false,"id":643623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Child, David B","contributorId":173197,"corporation":false,"usgs":false,"family":"Child","given":"David","email":"","middleInitial":"B","affiliations":[{"id":27187,"text":"D.C. 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Brachylophus fasciatus was described in 1800 by Brongniart but its type was subsequently considered as lost and never present in MNHN-RA collections. We found that 220 year old holotype among existing collections, registered without any data, and we show that it was donated to MNHN-RA from Brongniart’s private collection after his death in 1847. It was registered in the catalogue of 1851 but without any data or reference to its type status. According to the coloration (uncommon midbody saddle-like dorsal banding pattern) and morphometric data given in its original description and in the subsequent examination of the type in 1802 by Daudin and in 1805 by Brongniart we found that lost holotype in the collections. Another MNHN-RA specimen has Horn Islands (Wallis and Futuna) as the collection location but we show that most of the collections given to MNHN-RA by its collector, Louis Arnoux, have mixed localities in the MNHN-RA catalogues. We thus conclude that the locality is wrong and that the species never inhabited those islands located west of Western Samoa and north-east of Fiji.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.4138.2.10","usgsCitation":"Ineich, I., and Fisher, R.N., 2016, Rediscovery of the 220-year-old holotype of the Banded Iguana, Brachylophus fasciatus (Brongniart, 1800) in the Paris Natural History Museum: Zootaxa, v. 4138, no. 2, p. 381-391, https://doi.org/10.11646/zootaxa.4138.2.10.","productDescription":"10 p.","startPage":"381","endPage":"391","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077035","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/zootaxa.4138.2.10","text":"Publisher Index Page"},{"id":325466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4138","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-15","publicationStatus":"PW","scienceBaseUri":"5790a18ce4b030378fb47454","contributors":{"authors":[{"text":"Ineich, Ivan","contributorId":100760,"corporation":false,"usgs":true,"family":"Ineich","given":"Ivan","email":"","affiliations":[],"preferred":false,"id":643026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":643025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175015,"text":"70175015 - 2016 - Benefits of prescribed flows for salmon smolt survival enhancement vary longitudinally in a highly managed river system","interactions":[],"lastModifiedDate":"2016-12-09T16:28:03","indexId":"70175015","displayToPublicDate":"2016-07-15T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Benefits of prescribed flows for salmon smolt survival enhancement vary longitudinally in a highly managed river system","docAbstract":"The influence of streamflow on survival of emigrating juvenile Pacific salmonids Oncorhynchus spp. (smolts) is a major concern for water managers throughout the northeast Pacific Rim. However, few studies have quantified flow effects on smolt survival, and available information does not indicate a consistent flow–survival relationship within the typical range of flows under management control. In the Yakima Basin, Washington, the potential effects of streamflow alterations on smolt survival have been debated for over 20 years. Using a series of controlled flow releases from upper basin reservoirs and radiotelemetry, we quantified the relationship between flow and yearling Chinook salmon smolt survival in the 208 km reach between Roza Dam and the Yakima River mouth. A multistate mark–recapture model accounted for weekly variation in flow conditions experienced by tagged fish in four discrete river segments. Smolt survival was significantly associated with streamflow in the Roza Reach [river kilometre (rkm) 208–189] and marginally associated with streamflow in the Sunnyside Reach (rkm 169–77). However, smolt survival was not significantly associated with flow in the Naches and Prosser Reaches (rkm 189–169 and rkm 77–3). This discrepancy indicates potential differences in underlying flow-related survival mechanisms, such as predation or passage impediments. Our results clarify trade-offs between flow augmentation for fisheries enhancement and other beneficial uses, and our study design provides a framework for resolving uncertainties about streamflow effects on migratory fish survival in other river systems.
","language":"English","publisher":"John Wiley & Sons, Ltd.","doi":"10.1002/rra.3066","usgsCitation":"Courter, I., Garrison, T., Kock, T.J., Perry, R.W., Child, D., and Hubble, J., 2016, Benefits of prescribed flows for salmon smolt survival enhancement vary longitudinally in a highly managed river system: River Research and Applications, v. 32, no. 10, p. 1999-2008, https://doi.org/10.1002/rra.3066.","productDescription":"10 p.","startPage":"1999","endPage":"2008","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076303","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.91552734375,\n 46.057985244793024\n ],\n [\n -120.91552734375,\n 47.234489635299184\n ],\n [\n -117.71850585937501,\n 47.234489635299184\n ],\n [\n -117.71850585937501,\n 46.057985244793024\n ],\n [\n -120.91552734375,\n 46.057985244793024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-15","publicationStatus":"PW","scienceBaseUri":"5799db36e4b0589fa1c7e6ce","contributors":{"authors":[{"text":"Courter, Ian","contributorId":173188,"corporation":false,"usgs":false,"family":"Courter","given":"Ian","affiliations":[{"id":27180,"text":"Mount Hood Environmental","active":true,"usgs":false}],"preferred":false,"id":643605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Thomas","contributorId":173189,"corporation":false,"usgs":false,"family":"Garrison","given":"Thomas","affiliations":[{"id":27181,"text":"Fish Passage Center","active":true,"usgs":false}],"preferred":false,"id":643606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Child, David","contributorId":173190,"corporation":false,"usgs":false,"family":"Child","given":"David","affiliations":[{"id":27182,"text":"D.C. Consulting LLC","active":true,"usgs":false}],"preferred":false,"id":643608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubble, Joel","contributorId":173191,"corporation":false,"usgs":false,"family":"Hubble","given":"Joel","affiliations":[{"id":27183,"text":"U.S. Bureau of Reclamation, Yakima Field Office","active":true,"usgs":false}],"preferred":false,"id":643609,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173982,"text":"70173982 - 2016 - Global trends in satellite-based emergency mapping","interactions":[],"lastModifiedDate":"2017-01-17T19:15:11","indexId":"70173982","displayToPublicDate":"2016-07-15T13:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Global trends in satellite-based emergency mapping","docAbstract":"Over the past 15 years, scientists and disaster responders have increasingly used satellite-based Earth observations for global rapid assessment of disaster situations. We review global trends in satellite rapid response and emergency mapping from 2000 to 2014, analyzing more than 1000 incidents in which satellite monitoring was used for assessing major disaster situations. We provide a synthesis of spatial patterns and temporal trends in global satellite emergency mapping efforts and show that satellite-based emergency mapping is most intensively deployed in Asia and Europe and follows well the geographic, physical, and temporal distributions of global natural disasters. We present an outlook on the future use of Earth observation technology for disaster response and mitigation by putting past and current developments into context and perspective.
","language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York, NY","doi":"10.1126/science.aad8728","usgsCitation":"Voigt, S., Giulio-Tonolo, F., Lyons, J., Kucera, J., Jones, B., Schneiderhan, T., Platzeck, G., Kaku, K., Hazarika, M.K., Czaran, L., Li, S., Pedersen, W., James, G.K., Proy, C., Muthike, D.M., Bequignon, J., and Guha-Sapir, D., 2016, Global trends in satellite-based emergency mapping: Science, v. 353, no. 6296, p. 247-252, https://doi.org/10.1126/science.aad8728.","startPage":"247","endPage":"252","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073880","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":502568,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://id.nii.ac.jp/1696/00022756/","text":"External Repository"},{"id":325920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"353","issue":"6296","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a1c42fe4b006cb45552c18","contributors":{"authors":[{"text":"Voigt, Stefan","contributorId":172230,"corporation":false,"usgs":false,"family":"Voigt","given":"Stefan","email":"","affiliations":[{"id":27001,"text":"German Aerospace Center, Germany","active":true,"usgs":false}],"preferred":false,"id":639978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giulio-Tonolo, Fabio","contributorId":172231,"corporation":false,"usgs":false,"family":"Giulio-Tonolo","given":"Fabio","email":"","affiliations":[{"id":27002,"text":"Information Technology for Humanitarian Assistance, Cooperation and Action, Italy","active":true,"usgs":false}],"preferred":false,"id":639979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, Josh","contributorId":172232,"corporation":false,"usgs":false,"family":"Lyons","given":"Josh","email":"","affiliations":[{"id":27003,"text":"Human Rights Watch, Switzerland","active":true,"usgs":false}],"preferred":false,"id":639980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kucera, Jan","contributorId":172233,"corporation":false,"usgs":false,"family":"Kucera","given":"Jan","email":"","affiliations":[{"id":27004,"text":"European Commission - 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The Barnett Shale was assessed using the standard continuous (unconventional) methodology established by the USGS for two assessment units (AUs): (1) Barnett Continuous Gas AU, and (2) Barnett Mixed Continuous Gas and Oil AU. A third assessment unit, the Western Barnett Continuous Oil AU, was also defined but was not quantitatively assessed because of limited data within the extent of the AU. The purpose of this report is to provide supplemental documentation of the quantitative input parameters applied in the Barnett Shale assessment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20161097","usgsCitation":"Marra, K.R., Charpentier, R.R., Schenk, C.J., Lewan, M.D., Leathers-Miller, H.M., Klett, T.R., Gaswirth, S.B., Le, P.A., Mercier, T.J., Pitman, J.K., and Tennyson, M.E., 2016, Input-form data for the U.S. Geological Survey assessment of the Mississippian Barnett Shale of the Bend Arch–Fort Worth Basin Province, 2015: U.S. Geological Survey Open-File Report 2016-1097, 31 p., https://dx.doi.org/10.3133/ofr20161097.","productDescription":"iii, 34 p.","startPage":"1","endPage":"31","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-073625","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":325066,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1097/ofr20161097.pdf","text":"Report","size":"212 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1097"},{"id":325065,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1097/coverthb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Mississippian Barnett Shale","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.6297607421875,\n 33.4039312002347\n ],\n [\n -98.33862304687499,\n 32.10118973232094\n ],\n [\n -97.81677246093749,\n 31.85889704445453\n ],\n [\n -96.932373046875,\n 31.840232667909365\n ],\n [\n -96.12487792968749,\n 32.040676557717454\n ],\n [\n -95.6854248046875,\n 32.7872745269555\n ],\n [\n -95.6854248046875,\n 33.408516828002675\n ],\n [\n -95.97656249999999,\n 33.75174787568194\n ],\n [\n -96.558837890625,\n 33.61461929233378\n ],\n [\n -97.0037841796875,\n 33.578014746143985\n ],\n [\n -97.833251953125,\n 33.68321092658007\n ],\n [\n -98.250732421875,\n 34.07086232376631\n ],\n [\n -98.6187744140625,\n 33.710632271492095\n ],\n [\n -98.6297607421875,\n 33.4039312002347\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS 939
Denver Federal Center
Denver, CO 80225-0046
Much research has been conducted to better understand erosion and accretion processes for the seaward zones of coastal barrier islands; however, at Cumberland Island National Seashore, Georgia, the greater management concern is the effect that erosion is having on the resources of the island’s western shoreline, or the back barrier. Catastrophic slumping and regular rates of erosion greater than 1 meter per year threaten important habitat, historical and pre-historical resources, and modern infrastructure on the island. Prior research has helped National Park Service (NPS) staff identify the most severe and vulnerable areas, but in order to develop effective management actions, information is needed on what forces and conditions cause erosion. To this end, the U.S. Geological Survey, in cooperation with the NPS, conducted two longitudinal surveys, one each at the beginning and end of the approximately year-long monitoring period from late 2011 to early 2013, along five selected segments of the back barrier of the Cumberland Island National Seashore. Monitoring stations were constructed at four of these locations that had previously been identified as erosional hotspots. The magnitude of erosion at each location was quantified to determine the relative influence of causative agents. Results indicate that erosion is, in general, highly variable within and among these segments of the Cumberland Island National Seashore’s back barrier. Observed erosion ranged from a maximum of 2.5 meters of bluff-line retreat to some areas that exhibited no net erosion over the 1-year study period. In terms of timing of erosion, three of the four sites were primarily affected by punctuated erosional events that were coincident with above-average high tides and elevated wind speeds. The fourth site exhibited steady, low-magnitude retreat throughout the study period. While it is difficult to precisely subscribe certain amounts of erosion to specific agents, this study provides insight into the mode of erosion among sites and the interaction among factors that set up conditions that may be leading to punctuated events.
Estimates of sea-level rise were incorporated into the results of this study to project conditions that could be in place by the end of the 21st century. When using the erosion rates observed in this study to extrapolate future shoreline position, results indicate an average retreat (across all monitored locations) of 15 meters by 2050 and approximately 37 meters by 2100.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165071","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Calhoun, D.L., and Riley, J.W., 2016, Spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011–2013: U.S. Geological Survey Scientific Investigations Report 2016–5071, 32 p., https://dx.doi.org/10.3133/sir20165071. ","productDescription":"Report: vii, 44 p. Data Release","startPage":"1","endPage":"32","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068286","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":438585,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z60M4M","text":"USGS data release","linkHelpText":"Geospatial, continuous, and point measure data for a spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011-2013:"},{"id":325288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5071/coverthb.jpg"},{"id":325289,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5071/sir20165071.pdf","text":"Report","size":"3.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5071"},{"id":325290,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7Z60M4M","text":"USGS data release - Geospatial, continuous, and point measure data for a spatial and temporal assessment of back-barrier erosion on Cumberland Island National Seashore, Georgia, 2011–2013"}],"country":"United States","state":"Georgia","otherGeospatial":"Cumberland Island National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.41555786132812,\n 30.981729962028048\n ],\n [\n -81.40045166015625,\n 30.97289931126414\n ],\n [\n -81.39701843261719,\n 30.958179744546715\n ],\n [\n -81.39770507812499,\n 30.90575967622237\n ],\n [\n -81.41487121582031,\n 30.85625820510563\n ],\n [\n -81.44233703613281,\n 30.80201297632633\n ],\n [\n -81.44233703613281,\n 30.711142637210045\n ],\n [\n -81.46430969238281,\n 30.707600499097804\n ],\n [\n -81.48490905761719,\n 30.727670895047673\n ],\n [\n -81.48628234863281,\n 30.745966732317395\n ],\n [\n -81.47701263427734,\n 30.778713503375876\n ],\n [\n -81.49417877197266,\n 30.813513165869683\n ],\n [\n -81.49486541748047,\n 30.853016145357284\n ],\n [\n -81.51134490966797,\n 30.879244211704183\n ],\n [\n -81.49417877197266,\n 30.907821682379147\n ],\n [\n -81.4632797241211,\n 30.92107637538488\n ],\n [\n -81.45538330078125,\n 30.926377738412445\n ],\n [\n -81.44096374511719,\n 30.932856783043764\n ],\n [\n -81.42997741699219,\n 30.95641324406724\n ],\n [\n -81.42791748046875,\n 30.971133083069482\n ],\n [\n -81.41555786132812,\n 30.981729962028048\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
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720 Gracern Road
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Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean continuous resources of 482 million barrels of oil and 29.8 trillion cubic feet of gas in the Cooper Basin of Australia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163050","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Klett, T.R., Finn, T.M., Le, P.A., Brownfield, M.E., Gaswirth, S.B., Marra, K.R., Hawkins, S.J., and Leathers-Miller, H.M., 2016, Assessment of continuous oil and gas resources of the Cooper Basin, Australia, 2016: U.S. Geological Survey Fact Sheet 2016–3050, 2 p., https://dx.doi.org/10.3133/fs20163050.","productDescription":"Report: 2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074116","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":325186,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3050/fs20163050.pdf","text":"Report","size":"1.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3050"},{"id":325185,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3050/coverthb2.jpg"}],"country":"Australia","state":"Queensland","otherGeospatial":"Cooper Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 141.064453125,\n -28.9600886880068\n ],\n [\n 141.240234375,\n -28.36240173523821\n ],\n [\n 141.3720703125,\n -28.14950321154457\n ],\n [\n 141.5478515625,\n -27.80020993741824\n ],\n [\n 141.85546875,\n -27.547241546253268\n ],\n [\n 142.1630859375,\n -27.702983735525834\n ],\n [\n 142.58056640625,\n -27.955591004642542\n ],\n [\n 142.49267578125,\n -28.36240173523821\n ],\n [\n 143.0419921875,\n -28.207608595327365\n ],\n [\n 142.88818359375,\n -27.78077164334821\n ],\n [\n 142.6904296875,\n -27.33273513685913\n ],\n [\n 142.294921875,\n -27.078691552927534\n ],\n [\n 142.03125,\n -27.03955660216317\n ],\n [\n 142.53662109375,\n -26.902476886279807\n ],\n [\n 142.55859375,\n -26.56887654795064\n ],\n [\n 142.91015625,\n -26.352497858154\n ],\n [\n 143.50341796875,\n -26.332806922897866\n ],\n [\n 143.701171875,\n -26.096254906968515\n ],\n [\n 143.701171875,\n -25.780107118422233\n ],\n [\n 143.701171875,\n -25.48295117535531\n ],\n [\n 143.10791015625,\n -25.264568475331583\n ],\n [\n 142.8662109375,\n -25.04579224030346\n ],\n [\n 143.37158203125,\n -24.126701958681668\n ],\n [\n 143.67919921874997,\n -23.745125865762933\n ],\n [\n 143.94287109374997,\n -23.644524198573677\n ],\n [\n 143.98681640625,\n -23.422928455065247\n ],\n [\n 143.9208984375,\n -22.67484735118851\n ],\n [\n 143.9208984375,\n -22.004174972902003\n ],\n [\n 143.56933593749997,\n -21.4121622297254\n ],\n [\n 142.75634765625,\n -21.186972714123762\n ],\n [\n 142.14111328125,\n -20.920396913971874\n ],\n [\n 141.5478515625,\n -20.571081893508193\n ],\n [\n 141.52587890625,\n -20.385825381874263\n ],\n [\n 140.91064453125,\n -20.34462694382967\n ],\n [\n 140.38330078125,\n -20.571081893508193\n ],\n [\n 139.37255859375,\n -21.002471054356715\n ],\n [\n 138.4716796875,\n -22.10599879975055\n ],\n [\n 138.27392578125,\n -23.039297747769726\n ],\n [\n 138.0322265625,\n -25.97779895546436\n ],\n [\n 138.1640625,\n -26.470573022375085\n ],\n [\n 137.30712890625,\n -27.059125784374054\n ],\n [\n 137.26318359375,\n -27.43028973886258\n ],\n [\n 137.9443359375,\n -27.877928333679495\n ],\n [\n 137.98828125,\n -28.071980301779845\n ],\n [\n 138.09814453125,\n -28.729130483430154\n ],\n [\n 137.92236328125,\n -29.228890030194215\n ],\n [\n 137.8125,\n -29.630771207229\n ],\n [\n 137.9443359375,\n -29.745301662213585\n ],\n [\n 138.22998046875,\n -29.745301662213585\n ],\n [\n 138.69140625,\n -29.954934549656134\n ],\n [\n 138.5595703125,\n -30.467614102257855\n ],\n [\n 138.88916015625,\n -30.44867367928755\n ],\n [\n 139.10888671875,\n -30.315987718557853\n ],\n [\n 139.32861328124997,\n -30.12612436422458\n ],\n [\n 139.482421875,\n -29.973970240516604\n ],\n [\n 139.41650390625,\n -30.315987718557853\n ],\n [\n 139.19677734375,\n -30.58117925738696\n ],\n [\n 139.130859375,\n -30.977609093348676\n ],\n [\n 139.50439453125,\n -30.958768570779846\n ],\n [\n 140.2734375,\n -30.505483898927267\n ],\n [\n 140.47119140625,\n -30.10711788709237\n ],\n [\n 140.47119140625,\n -29.64986867797229\n ],\n [\n 140.7568359375,\n -29.152161283318915\n ],\n [\n 141.064453125,\n -28.9600886880068\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov
A parameter regionalization scheme to transfer parameter values from gaged to ungaged areas for a monthly water balance model (MWBM) was developed and tested for the conterminous United States (CONUS). The Fourier Amplitude Sensitivity Test, a global-sensitivity algorithm, was implemented on a MWBM to generate parameter sensitivities on a set of 109 951 hydrologic response units (HRUs) across the CONUS. The HRUs were grouped into 110 calibration regions based on similar parameter sensitivities. Subsequently, measured runoff from 1575 streamgages within the calibration regions were used to calibrate the MWBM parameters to produce parameter sets for each calibration region. Measured and simulated runoff at the 1575 streamgages showed good correspondence for the majority of the CONUS, with a median computed Nash–Sutcliffe efficiency coefficient of 0.76 over all streamgages. These methods maximize the use of available runoff information, resulting in a calibrated CONUS-wide application of the MWBM suitable for providing estimates of water availability at the HRU resolution for both gaged and ungaged areas of the CONUS.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-20-2861-2016","usgsCitation":"Bock, A.R., Hay, L.E., McCabe, G., Markstrom, S.L., and Atkinson, R., 2016, Parameter regionalization of a monthly water balance model for the conterminous United States: Hydrology and Earth System Sciences, v. 20, p. 2861-2876, https://doi.org/10.5194/hess-20-2861-2016.","productDescription":"16 p.","startPage":"2861","endPage":"2876","ipdsId":"IP-067200","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":470749,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-2861-2016","text":"Publisher Index Page"},{"id":328838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328857,"rank":2,"type":{"id":30,"text":"Data 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This report is a synthesis of the three components emphasizing development of lines of evidence relating potential future management actions to pallid sturgeon population dynamics. We address 21 working management hypotheses that emerged from an expert opinion-based filtering process.
The ability to quantify linkages from abiotic changes to pallid sturgeon population dynamics is compromised by fundamental information gaps. Although a substantial foundation of pallid sturgeon science has been developed during the past 20 years, our efforts attempt to push beyond that understanding to provide predictions of how future management actions may affect pallid sturgeon responses. For some of the 21 hypotheses, lines of evidence are limited to theoretical deduction, inference from sparse empirical datasets, or expert opinion. Useful simulation models have been developed to predict the effects of management actions on survival of drifting pallid sturgeon free embryos in the Yellowstone and Upper Missouri River complex (hereafter referred to as the “upper river”), and to assess the effects of flow and channel reconfigurations on habitat availability in the Lower Missouri River, tributaries, and Mississippi River downstream of Gavins Point Dam (hereafter referred to as the “lower river”). A population model also has been developed that can be used to assess sensitivity of the population to survival of specific life stages, assess some hypotheses related to stocking decisions, and explore a limited number of management scenarios.
Consideration of lines of evidence for each of the 21 hypotheses includes a discussion of how the degree of uncertainty and risk associated with each hypothesis may guide science and implementation strategies. Implementation strategies include full implementation in the field, limited implementations as field-scale experiments, or (in the case of greatest uncertainty) implementation as learning actions, including research and opportunistic experiments or field-based gradient studies. Given the substantive uncertainties associated with pallid sturgeon population dynamics and the need to continually assimilate and assess new information, we proposed that an Effects Analysis-like process should be considered an integral part of ongoing Missouri River adaptive management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165064","collaboration":"Prepared in cooperation with the Missouri River Recovery Program","usgsCitation":"Jacobson, R.B., Annis, M.L., Colvin, M.E., James, D.A., Welker, T.L., and Parsley, M.J., 2016, Missouri River Scaphirhynchus albus (pallid sturgeon) effects analysis—Integrative report 2016: U.S. Geological Survey Scientific Investigations Report 2016–5064, 154 p., https://dx.doi.org/10.3133/sir20165064.","productDescription":"xv, 154 p.","numberOfPages":"174","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064765","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5064/coverthb.jpg"},{"id":325272,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5064/sir20165064.pdf","text":"Report","size":"18.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5064"}],"country":"United States","state":"Missouri","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 -114.80712890625,\n 48.922499263758255\n ],\n [\n -114.67529296874999,\n 47.931066347509784\n ],\n [\n -115.4443359375,\n 47.27922900257082\n ],\n [\n -114.08203125,\n 46.78501604269254\n ],\n [\n -113.5986328125,\n 46.9502622421856\n ],\n [\n -113.04931640625,\n 46.51351558059737\n ],\n [\n -112.30224609374999,\n 45.73685954736049\n ],\n [\n -109.86328125,\n 43.78695837311561\n ],\n [\n -107.90771484375,\n 42.601619944327965\n ],\n [\n -107.24853515625,\n 42.90816007196054\n ],\n [\n -106.787109375,\n 42.61779143282346\n ],\n [\n -106.98486328124999,\n 42.309815415686664\n ],\n [\n -106.89697265625,\n 41.623655390686395\n ],\n [\n -106.962890625,\n 41.244772343082104\n ],\n [\n -107.09472656249999,\n 40.830436877649255\n ],\n [\n -106.61132812499999,\n 40.41349604970198\n ],\n [\n -106.34765625,\n 40.027614437486655\n ],\n [\n -105.9521484375,\n 40.16208338164619\n ],\n [\n -105.75439453125,\n 40.01078714046552\n ],\n [\n -105.99609375,\n 39.605688178320804\n ],\n [\n -105.64453124999999,\n 39.04478604850143\n ],\n [\n -102.72216796875,\n 38.59970036588819\n ],\n [\n -95.0537109375,\n 28.86391842622456\n ],\n [\n -94.24072265625,\n 29.32472016151103\n ],\n [\n -92.04345703125,\n 29.401319510041485\n ],\n [\n -89.49462890625,\n 28.844673680771795\n ],\n [\n -88.59374999999999,\n 29.32472016151103\n ],\n [\n -88.26416015625,\n 33.00866349457558\n ],\n [\n -88.11035156249999,\n 35.11990857099681\n ],\n [\n -88.92333984375,\n 37.03763967977139\n ],\n [\n -90.04394531249999,\n 38.30718056188316\n ],\n [\n -89.9560546875,\n 38.976492485539424\n ],\n [\n -90.87890625,\n 39.63953756436671\n ],\n [\n -91.23046875,\n 40.195659093364654\n ],\n [\n -91.91162109375,\n 41.0130657870063\n ],\n [\n -93.8232421875,\n 41.09591205639546\n ],\n [\n -95.77880859375,\n 42.52069952914966\n ],\n [\n -97.14111328125,\n 43.59630591596548\n ],\n [\n -98.6572265625,\n 44.69989765840318\n ],\n [\n -100.74462890625,\n 47.57652571374621\n ],\n [\n -101.88720703125,\n 48.32703913063476\n ],\n [\n -104.47998046875,\n 49.009050809382046\n ],\n [\n -114.80712890625,\n 48.922499263758255\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center (CERC)
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Corals routinely lose tissue due to causes ranging from predation to disease. Tissue healing and regeneration are fundamental to the normal functioning of corals, yet we know little about this process. We described the microscopic morphology of wound repair in Pocillopora damicornis. Tissue was removed by airbrushing fragments from three healthy colonies, and these were monitored daily at the gross and microscopic level for 40 days. Grossly, corals healed by Day 30, but repigmentation was not evident at the end of the study (40 d). On histology, from Day 8 onwards, tissues at the lesion site were microscopically indistinguishable from adjacent normal tissues with evidence of zooxanthellae in gastrodermis. Inflammation was not evident. P. damicornis manifested a unique mode of regeneration involving projections of cell-covered mesoglea from the surface body wall that anastomosed to form gastrovascular canals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jip.2016.07.002","usgsCitation":"Rodríguez-Villalobos, J., Work, T.M., and Calderon-Aguileraa, L.E., 2016, Wound repair in Pocillopora: Journal of Invertebrate Pathology, v. 139, p. 1-5, https://doi.org/10.1016/j.jip.2016.07.002.","productDescription":"5 p.","startPage":"1","endPage":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071627","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":325254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5788a99ce4b0d27deb3813d0","contributors":{"authors":[{"text":"Rodríguez-Villalobos, Jenny Carolina","contributorId":98224,"corporation":false,"usgs":true,"family":"Rodríguez-Villalobos","given":"Jenny Carolina","affiliations":[],"preferred":false,"id":642477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":642476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calderon-Aguileraa, Luis Eduardo","contributorId":172902,"corporation":false,"usgs":false,"family":"Calderon-Aguileraa","given":"Luis","email":"","middleInitial":"Eduardo","affiliations":[{"id":27115,"text":"Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE) Carretera Ensenada-Tijuana, # 3918, Zona Playitas, C.P. 22860, Ensenada, BC, México","active":true,"usgs":false}],"preferred":false,"id":642478,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174876,"text":"70174876 - 2016 - Theory and application of semiochemicals in nuisance fish control","interactions":[],"lastModifiedDate":"2016-09-16T16:37:43","indexId":"70174876","displayToPublicDate":"2016-07-14T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Theory and application of semiochemicals in nuisance fish control","docAbstract":"Controlling unwanted, or nuisance, fishes is becoming an increasingly urgent issue with few obvious solutions. Because fish rely heavily on semiochemicals, or chemical compounds that convey information between and within species, to mediate aspects of their life histories, these compounds are increasingly being considered as an option to help control wild fish. Possible uses of semiochemicals include measuring their presence in water to estimate population size, adding them to traps to count or remove specific species of fish, adding them to waterways to manipulate large-scale movement patterns, and saturating the environment with synthesized semiochemicals to disrupt responses to the natural cue. These applications may be especially appropriate for pheromones, chemical signals that pass between members of same species and which also have extreme specificity and potency. Alarm cues, compounds released by injured fish, and cues released by potential predators also could function as repellents and be especially useful if paired with pheromonal attractants in “push-pull” configurations. Approximately half a dozen attractive pheromones now have been partially identified in fish, and those for the sea lamprey and the common carp have been tested in the field with modest success. Alarm and predator cues for sea lamprey also have been tested in the laboratory and field with some success. Success has been hampered by our incomplete understanding of chemical identity, a lack of synthesized compounds, the fact that laboratory bioassays do not always reflect natural environments, and the relative difficulty of conducting trials on wild fishes because of short field seasons and regulatory requirements. Nevertheless, workers continue efforts to identify pheromones because of the great potential elucidated by insect control and the fact that few tools are available to control nuisance fish. Approaches developed for nuisance fish also could be applied to valued fishes, which suffer from a lack of powerful management tools.
","language":"English","publisher":"Springer","doi":"10.1007/s10886-016-0729-4","usgsCitation":"Sorensen, P.W., and Johnson, N., 2016, Theory and application of semiochemicals in nuisance fish control: Journal of Chemical Ecology, v. 42, no. 7, p. 698-715, https://doi.org/10.1007/s10886-016-0729-4.","productDescription":"18 p.","startPage":"698","endPage":"715","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077173","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-14","publicationStatus":"PW","scienceBaseUri":"5790a191e4b030378fb47467","contributors":{"authors":[{"text":"Sorensen, Peter W.","contributorId":49720,"corporation":false,"usgs":true,"family":"Sorensen","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":642945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173928,"text":"ofr20161101 - 2016 - Low-flow frequency and flow duration of selected South Carolina streams in the Savannah and Salkehatchie River Basins through March 2014","interactions":[],"lastModifiedDate":"2016-11-15T09:31:00","indexId":"ofr20161101","displayToPublicDate":"2016-07-14T14:00:00","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":"2016-1101","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Savannah and Salkehatchie River Basins through March 2014","docAbstract":"An ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina is important for the protection and preservation of the State’s water resources. Information concerning the low-flow characteristics of streams is especially important during critical flow periods, such as during the historic droughts that South Carolina has experienced in the past few decades.
In 2008, the U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. This report presents the low-flow statistics for 28 selected streamgaging stations in the Savannah and Salkehatchie River Basins in South Carolina. The low-flow statistics include daily mean flow durations for the 5-, 10-, 25-, 50-, 75-, 90-, and 95-percent probability of exceedance and the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day mean flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamgaging station. The low-flow statistics were computed from records available through March 31, 2014.
Low-flow statistics are influenced by length of record, hydrologic regime under which the data were collected, analytical techniques used, and other factors, such as urbanization, diversions, and droughts that may have occurred in the basin. To assess changes in the low-flow statistics from the previously published values, a comparison of the low-flow statistics for the annual minimum 7-day average streamflow with a 10-year recurrence interval (7Q10) from this study was made with the most recently published values. Of the 28 streamgaging stations for which recurrence interval computations were made, 14 streamgaging stations were suitable for comparing to low-flow statistics that were previously published in U.S. Geological Survey reports. These comparisons indicated that seven of the streamgaging stations had values lower than the previous values, two streamgaging stations had values higher than the previous values, and two streamgaging stations had values that were unchanged from previous values. The remaining three stations for which previous 7Q10 values were computed, which are located on the main stem of the Savannah River, were not compared with current estimates because of differences in the way the pre-regulation and regulated flow data were analyzed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161101","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T.D., and Guimaraes, W.B., 2016, Low-flow frequency and flow duration of selected South Carolina streams in the Savannah and Salkehatchie River Basins through March 2014 (ver. 1.1, November 2016): U.S. Geological Survey Open-File Report 2016–1101, 62 p., https://dx.doi.org/10.3133/ofr20161101.","productDescription":"vi, 62 p.","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074376","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":325181,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1101/ofr20161101.pdf","text":"Report","size":"2.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 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U.S. Geological Survey
720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/
Mangrove ecosystems protect vulnerable coastlines from storm effects, recycle nutrients, stabilize shorelines, improve water quality, and provide habitat for commercial and recreational fish species as well as for threatened and endangered wildlife. U.S. Geological Survey scientists conduct research on mangrove ecosystems to provide reliable scientific information about their ecology, productivity, hydrological processes, carbon storage stress response, and restoration success. The Mangrove Science Network is a collaboration of USGS scientists focused on working with natural resource managers to develop and conduct research to inform decisions on mangrove management and restoration. Information about the Mangrove Science Network can be found at: http://www.usgs.gov/ecosystems/environments/mangroves.html.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip164","usgsCitation":"Ball, L.C., 2016, Mangrove postcard: U.S. Geological Survey General Information Product 164, 2 p., https://dx.doi.org/10.3133/gip164.","productDescription":"Postcard: 4.25 x 6.00 inches","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075295","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":323722,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0164/gip164.pdf","text":"Report","size":"797 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 164"},{"id":323721,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0164/coverthb.jpg"}],"publicComments":"This product was prepared for dissemination at the USGS booth at the Fourth Mangrove and Macrobenthos Meeting (MMM4), which was held July 18--22, 2016, in St. Augustine, Fla.","contact":"Science Advisor, Environments Program
Ecosystems Mission Area
U.S. Geological Survey
301 National Center
Reston, VA 20192
https://www.usgs.gov/science/mission-areas/ecosystems/environments-program
Prediction of primary production of lentic water bodies (i.e., lakes and reservoirs) is valuable to researchers and resource managers alike, but is very rarely done at the global scale. With the development of remote sensing technologies, it is now feasible to gather large amounts of data across the world, including understudied and remote regions. To determine which factors were most important in explaining the variation of chlorophyll a (Chl-a), an indicator of primary production in water bodies, at global and regional scales, we first developed a geospatial database of 227 water bodies and watersheds with corresponding Chl-a, nutrient, hydrogeomorphic, and climate data. Then we used a generalized additive modeling approach and developed model selection criteria to select models that most parsimoniously related Chl-a to predictor variables for all 227 water bodies and for 51 lakes in the Laurentian Great Lakes region in the data set. Our best global model contained two hydrogeomorphic variables (water body surface area and the ratio of watershed to water body surface area) and a climate variable (average temperature in the warmest model selection criteria to select models that most parsimoniously related Chl-a to predictor variables quarter) and explained ~ 30% of variation in Chl-a. Our regional model contained one hydrogeomorphic variable (flow accumulation) and the same climate variable, but explained substantially more variation (58%). Our results indicate that a regional approach to watershed modeling may be more informative to predicting Chl-a, and that nearly a third of global variability in Chl-a may be explained using hydrogeomorphic and climate variables.
","language":"English","publisher":"International Society of Limnology","doi":"10.1080/IW-6.3.964","usgsCitation":"Woelmer, W., Kao, Y., Bunnell, D., Deines, A.M., Bennion, D., Rogers, M.W., Brooks, C., Sayers, M.J., Banach, D.M., Grimm, A.G., and Shuchman, R.A., 2016, Assessing the influence of watershed characteristics on chlorophyll a in waterbodies at global and regional scales: Inland Waters, v. 6, no. 3, p. 379-392, https://doi.org/10.1080/IW-6.3.964.","productDescription":"14 p.","startPage":"379","endPage":"392","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071310","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5788a99ae4b0d27deb3813c2","contributors":{"authors":[{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kao, Yu-Chun","contributorId":35626,"corporation":false,"usgs":false,"family":"Kao","given":"Yu-Chun","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":642454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":642452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deines, Andrew M.","contributorId":166920,"corporation":false,"usgs":false,"family":"Deines","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":642455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Colin N.","contributorId":103961,"corporation":false,"usgs":true,"family":"Brooks","given":"Colin N.","affiliations":[],"preferred":false,"id":642458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sayers, Michael J.","contributorId":172893,"corporation":false,"usgs":false,"family":"Sayers","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":27113,"text":"Michigan Tech University","active":true,"usgs":false}],"preferred":false,"id":642459,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Banach, David M.","contributorId":172894,"corporation":false,"usgs":false,"family":"Banach","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":27113,"text":"Michigan Tech University","active":true,"usgs":false}],"preferred":false,"id":642460,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grimm, Amanda G.","contributorId":150482,"corporation":false,"usgs":false,"family":"Grimm","given":"Amanda","email":"","middleInitial":"G.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":642461,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shuchman, Robert A.","contributorId":150483,"corporation":false,"usgs":false,"family":"Shuchman","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":642462,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70174674,"text":"70174674 - 2016 - Assessing the sensitivity of avian species abundance to land cover and climate","interactions":[],"lastModifiedDate":"2016-07-14T09:54:59","indexId":"70174674","displayToPublicDate":"2016-07-14T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the sensitivity of avian species abundance to land cover and climate","docAbstract":"Climate projections for the Midwestern United States predict southerly climates to shift northward. These shifts in climate could alter distributions of species across North America through changes in climate (i.e., temperature and precipitation), or through climate-induced changes on land cover. Our objective was to determine the relative impacts of land cover and climate on the abundance of five bird species in the Central United States that have habitat requirements ranging from grassland and shrubland to forest. We substituted space for time to examine potential impacts of a changing climate by assessing climate and land cover relationships over a broad latitudinal gradient. We found positive and negative relationships of climate and land cover factors with avian abundances. Habitat variables drove patterns of abundance in migratory and resident species, although climate was also influential in predicting abundance for some species occupying more open habitat (i.e., prairie warbler, blue-winged warbler, and northern bobwhite). Abundance of northern bobwhite increased with winter temperature and was the species exhibiting the most significant effect of climate. Models for birds primarily occupying early successional habitats performed better with a combination of habitat and climate variables whereas models of species found in contiguous forest performed best with land cover alone. These varied species-specific responses present unique challenges to land managers trying to balance species conservation over a variety of land covers. Management activities focused on increasing forest cover may play a role in mitigating effects of future climate by providing habitat refugia to species vulnerable to projected changes. Conservation efforts would be best served focusing on areas with high species abundances and an array of habitats. Future work managing forests for resilience and resistance to climate change could benefit species already susceptible to climate impacts.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1359","usgsCitation":"LeBrun, J.J., Thogmartin, W.E., Thompson, F.R., Dijak, W.D., and Millspaugh, J.J., 2016, Assessing the sensitivity of avian species abundance to land cover and climate: Ecosphere, v. 7, no. 6, e01359; 22 p., https://doi.org/10.1002/ecs2.1359.","productDescription":"e01359; 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066593","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1359","text":"Publisher Index Page"},{"id":325239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.26171875,\n 44.308126684886126\n ],\n [\n -98.3056640625,\n 39.90973623453719\n ],\n [\n -96.328125,\n 29.611670115197377\n ],\n [\n -91.7138671875,\n 30.524413269923986\n ],\n [\n -90.263671875,\n 34.994003757575776\n ],\n [\n -85.67138671875,\n 35.02999636902566\n ],\n [\n -83.16650390625,\n 38.685509760012\n ],\n [\n -81.67236328125,\n 41.590796851056005\n ],\n [\n -83.16650390625,\n 42.19596877629178\n ],\n [\n -87.8466796875,\n 42.52069952914966\n ],\n [\n -91.20849609375,\n 43.54854811091288\n ],\n [\n -92.74658203125,\n 44.762336674810996\n ],\n [\n -98.26171875,\n 44.308126684886126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"5788a99be4b0d27deb3813c4","contributors":{"authors":[{"text":"LeBrun, Jaymi J.","contributorId":7959,"corporation":false,"usgs":true,"family":"LeBrun","given":"Jaymi","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":642466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":642465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Frank R. III","contributorId":12608,"corporation":false,"usgs":true,"family":"Thompson","given":"Frank","suffix":"III","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":642467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dijak, William D.","contributorId":172897,"corporation":false,"usgs":false,"family":"Dijak","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":642468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millspaugh, Joshua J.","contributorId":22082,"corporation":false,"usgs":true,"family":"Millspaugh","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":642469,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}