{"pageNumber":"681","pageRowStart":"17000","pageSize":"25","recordCount":68919,"records":[{"id":70044111,"text":"70044111 - 2012 - Seasonal use of shallow water habitat in the Lower Snake River reservoirs by juvenile fall Chinook salmon","interactions":[],"lastModifiedDate":"2016-05-04T12:39:00","indexId":"70044111","displayToPublicDate":"2012-04-06T03:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Seasonal use of shallow water habitat in the Lower Snake River reservoirs by juvenile fall Chinook salmon","docAbstract":"<p>The U.S. Army Corps of Engineers (COE) is preparing a long term management plan for sediments that affect the authorized project purposes of the Lower Granite, Little Goose, Lower Monumental, and Ice Harbor reservoirs (hereafter, the lower Snake River reservoirs), and the area from the mouth of the Snake River to Ice Harbor Dam. We conducted a study from spring 2010 through winter 2011 to describe the habitat use by juvenile Chinook salmon within a selected group of shallow water habitat complexes (&lt; 6 m deep) in the lower Snake River reservoirs to help inform the long-term plan. Natural fry and parr were present within all four shallow water habitat complexes that we studied from early spring through early summer, and parr ( = 40,345 &plusmn; 18,800 [error bound]) were more abundant than fry ( = 24,615 &plusmn; 5,701). Water &lt; 2 m deep was highly used for rearing by natural fall Chinook salmon subyearlings (fry and parr combined; hereafter natural subyearlings) based on duration of use and relative group abundances during spring and summer, whereas the 2&ndash;6 m depth interval was more highly used by migratory hatchery fall Chinook salmon subyearlings and spring, summer, and fall Chinook salmon yearlings. Overall mean spring-summer apparent density of natural subyearlings was 15.5 times higher within the &lt; 2 m depth interval than within the 2&ndash;6 m depth interval. Density of natural subyearlings also decreased as the distance a given shallow water habitat complex was located from the riverine spawning areas increased. Reservoir-type juveniles (or fish likely destined to become reservoir-type juveniles) were present in the lower Snake River reservoirs from fall 2010 through winter 2011; however, use of shallow water habitat by reservoir-type juveniles was limited during our study. We only collected 38 reservoir-type juveniles in shallow water habitat sites in beach and lampara seines during the fall. Radiotelemetry data revealed that though many tagged fish passed shallow water habitat sites, relatively few fish entered them and the median time fish spent within a given site was less than 1.4 h. Fish located by mobile tracking away from study sites were pelagically oriented, and generally not found over shallow water or close to shore. The findings in this report: (1) support the selection of natural fall Chinook subyearlings as the indicator group for determining the potential benefits of using dredge spoils to create shallow water habitat, (2) provide evidence for shallow water habitat use by natural subyearlings, (3) provide evidence against large-scale use of shallow water habitat by reservoir-type juveniles, (4) suggest that the depth criterion for defining shallow water habitat (i.e., &lt; 6 m deep) warrants reconsideration, and (5) provide guidance for when to dredge and create shallow water habitat. Future research on habitat preference, feeding ecology, the food web, and intra-specific competition would help to better inform the long-term management plan.</p>","language":"English","publisher":"U.S. Army Corps of Engineers","publisherLocation":"Walla Walla District, Walla Walla, WA","usgsCitation":"Tiffan, K.F., and Connor, W.P., 2012, Seasonal use of shallow water habitat in the Lower Snake River reservoirs by juvenile fall Chinook salmon, 74 p.","productDescription":"74 p.","numberOfPages":"74","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033601","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"572b1d3ae4b0b13d391b44fe","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID  83544","active":true,"usgs":false}],"preferred":false,"id":517162,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037975,"text":"sir20125027 - 2012 - Water resources of the Iroquois National Wildlife Refuge, Genesee and Orleans counties, New York 2008-2010","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125027","displayToPublicDate":"2012-04-06T00:00:00","publicationYear":"2012","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":"2012-5027","title":"Water resources of the Iroquois National Wildlife Refuge, Genesee and Orleans counties, New York 2008-2010","docAbstract":"A 2-year study of the water resources of the Iroquois National Wildlife Refuge (Refuge) in western New York was carried out in 2009-2010 in cooperation with the U.S. Fish and Wildlife Service to assist the Refuge in the development of a 15-year Comprehensive Conservtion plan. The study focused on Oak Orchard Creek, which flows through the Refuge, the groundwater resources that underlie the Refuge, and the possible changes to these resources related to the potential development of a bedrock quarry along the northern side of the Refuge. Oak Orchard Creek was monitored seasonally for flow and water quality; four tributary streams, which flowed only during early spring, also were monitored. A continuous streamgage was operated on Oak Orchard Creek, just north of the Refuge at Harrison Road. Four bedrock wells were drilled within the Refuge to determine the type and thickness of unconsolidated glacial sediments and to characterize the thickness and type of bedrock units beneath the Refuge, primarily the Lockport Dolomite. Water levels were monitored in 17 wells within and adjacent to the Refuge and water-quality samples were collected from 11 wells and 6 springs and analyzed for physical properties, nutrients, major ions, and trace metals. Flow in Oak Orchard Creek is from two different sources. During spring runoff, flow from the Onondaga Limestone Escarpment, several miles south of the Refuge, supplements surface-water runoff and groundwater discharge from the Salina Group to the south and east of the Refuge. Flow to Oak Orchard Creek also comes from surface-water runoff from the Lockport Dolomite Escarpment, north of the Refuge, and from groundwater discharging from the Lockport Dolomite and unconsolidated deposits that overlie the Lockport Dolomite. During the summer and fall low-flow period, only small quantities of groundwater flow from the Salina shales and Lockport Dolomite bedrock and the unconsolidated sediments that overlie them; most of this flow is lost to wetland evapotranspiration, and the remainder enters Oak Orchard Creek. Water quality in the Oak Orchard Creek is affected not only by these groundwater sources but also by surface runoff from agricultural areas and the New York State Wildlife Management Area east of the Refuge. Based on the results of the drilling program, the Lockport Dolomite underlies nearly all the Refuge. The Refuge wetlands lie within a bedrock trough between the Lockport Dolomite and Onondaga Limestone Escarpments, to the north and south, respectively. This bedrock trough was filled with mostly fine-grained sediments when Glacial Lake Tonawanda was present following the last period of glaciation. These fine-grained sediments became the substrate on which the wetlands were formed along Oak Orchard Creek and nearby Tonawanda Creek, to the south and west. Water quality in the unconsolidated and bedrock aquifers is variable; poor quality water (sulfide-rich \"black water\") generally is present south of Oak Orchard Creek and better quality water to the north where the Lockport Dolomite is close to the land surface. A set of springs, the Oak Orchard Acid Springs, is present within the Refuge; the springs are considered unique in New York State because of their naturally low pH (approximately 2.0) and their continual discharge of natural gas. The potential development of a bedrock quarry in the Lockport Dolomite bedrock along the northern border of the Refuge may affect the nearby Refuge wetlands. The extent of drawdown needed to actively quarry the bedrock could change the local hydrology and affect groundwater-flow directions and rates, primarily in the Lockport Dolomite bedrock and possibly the Oak Orchard Acid Springs area, farther to the south. The effect on the volume of flow in Oak Orchard Creek would probably be minimal as a result of the poor interaction between the surface-water and the groundwater systems. Of greater potential effect will be the possible change in the quality of water flowing into the Refuge from the discharge of groundwater during dewatering operations at the quarry; this discharge will flow into the northern part of the Refuge and affect the quantity and quality of wetland areas downstream from the quarry discharge. These changes may affect wetland management activities because of the potential for poorquality water to affect the ecology of the wetlands and the wildlife that use these wetlands.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125027","collaboration":"Prepared in Cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Kappel, W.M., and Jennings, M., 2012, Water resources of the Iroquois National Wildlife Refuge, Genesee and Orleans counties, New York 2008-2010: U.S. Geological Survey Scientific Investigations Report 2012-5027, v, 23 p.; Appendices, https://doi.org/10.3133/sir20125027.","productDescription":"v, 23 p.; Appendices","startPage":"i","endPage":"53","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":254453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5027.gif"},{"id":254452,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5027/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Genesee County;Orleans County","otherGeospatial":"Iroquois National Wildlife Refuge","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcbfde4b08c986b32d8f7","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Matthew B. mbjennin@usgs.gov","contributorId":4684,"corporation":false,"usgs":true,"family":"Jennings","given":"Matthew B.","email":"mbjennin@usgs.gov","affiliations":[],"preferred":true,"id":463188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037959,"text":"ds614 - 2012 - Geospatial database for regional environmental assessment of central Colorado.","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"ds614","displayToPublicDate":"2012-04-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"614","title":"Geospatial database for regional environmental assessment of central Colorado.","docAbstract":"In conjunction with the future planning needs of the U.S. Department of Agriculture, Forest Service, the U.S. Geological Survey conducted a detailed environmental assessment of the effects of historical mining on Forest Service lands in central Colorado. Stream sediment, macroinvertebrate, and various filtered and unfiltered water quality samples were collected during low-flow over a four-year period from 2004&ndash;2007. This report summarizes the sampling strategy, data collection, and analyses performed on these samples. The data are presented in Geographic Information System, Microsoft Excel, and comma-delimited formats. Reports on data interpretation are being prepared separately.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds614","collaboration":"Prepared in cooperation with U.S. Department of Agriculture&mdash;Forest Service; U.S. Department of Interior&mdash;Bureau of Land Management; U.S. Department of Interior&mdash;National Park Service; Colorado Geological Survey","usgsCitation":"Church, S.E., San Juan, C.A., Fey, D.L., Schmidt, T., Klein, T.L., DeWitt, E.H., Wanty, R.B., Verplanck, P.L., Mitchell, K.A., Adams, M., Choate, L.M., Todorov, T., Rockwell, B.W., McEachron, L., and Anthony, M.W., 2012, Geospatial database for regional environmental assessment of central Colorado.: U.S. Geological Survey Data Series 614, vii, 64 p.; Appendix, https://doi.org/10.3133/ds614.","productDescription":"vii, 64 p.; Appendix","startPage":"i","endPage":"76","numberOfPages":"83","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":254435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_614.png"},{"id":254433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/614/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator Projection","country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,36.25 ], [ -107.5,41.25 ], [ -103.75,41.25 ], [ -103.75,36.25 ], [ -107.5,36.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a28abe4b0c8380cd5a2da","contributors":{"authors":[{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":463157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":463158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":463155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":463162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463161,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWitt, Ed H.","contributorId":16543,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":463165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":463154,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463156,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mitchell, Katharine A.","contributorId":59546,"corporation":false,"usgs":true,"family":"Mitchell","given":"Katharine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463167,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Adams, Monique G.","contributorId":76338,"corporation":false,"usgs":true,"family":"Adams","given":"Monique G.","affiliations":[],"preferred":false,"id":463168,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Choate, LaDonna M. 0000-0002-0229-7210 lchoate@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-7210","contributorId":1176,"corporation":false,"usgs":true,"family":"Choate","given":"LaDonna","email":"lchoate@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":463159,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Todorov, Todor I.","contributorId":39621,"corporation":false,"usgs":true,"family":"Todorov","given":"Todor I.","affiliations":[],"preferred":false,"id":463166,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463163,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McEachron, Luke","contributorId":14232,"corporation":false,"usgs":true,"family":"McEachron","given":"Luke","email":"","affiliations":[],"preferred":false,"id":463164,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Anthony, Michael W. manthony@usgs.gov","contributorId":1232,"corporation":false,"usgs":true,"family":"Anthony","given":"Michael","email":"manthony@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":463160,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70037958,"text":"70037958 - 2012 - Hunting influences the diel patterns in habitat selection by northern pintails Anas acuta","interactions":[],"lastModifiedDate":"2017-10-30T12:28:44","indexId":"70037958","displayToPublicDate":"2012-04-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hunting influences the diel patterns in habitat selection by northern pintails <i>Anas acuta</i>","title":"Hunting influences the diel patterns in habitat selection by northern pintails Anas acuta","docAbstract":"Northern pintail Anas acuta (hereafter pintail) populations wintering within Suisun Marsh, a large estuarine managed wetland near San Francisco Bay, California,USA, have declined markedly over the last four decades. The reasons for this decline are unclear. Information on how hunting and other factors influence the selection of vegetation types and sanctuaries would be beneficial to manage pintail populations in SuisunMarsh. During 1991-1993, we radio-marked and relocated female pintails (individuals: N = 203, relocations: N = 7,688) within Suisun Marsh to investigate habitat selection during the non-breeding months (winter). We calculated selection ratios for different vegetation types and for sanctuaries, and examined differences in those ratios between hunting season (i.e. hunting and non-hunting), age (hatchyear and after-hatch-year), and time of day (daylight or night hours). We found that diel patterns in selection were influenced by hunting disturbance. For example, prior to the hunting season and during daylight hours, pintails selected areas dominated by brass buttons Cotula coronopifolia, a potentially important food source, usually outside of sanctuary boundaries. However, during the hunting season, pintails did not select brass buttons during daylight hours, but instead highly selected permanent pools, mostly within sanctuaries. Also, during the hunting season, pintails showed strong selection for brass buttons at night. Sanctuaries provided more area of permanent water pools than within hunting areas and appeared to function as important refugia during daylight hours of the hunting season. Wildlife managers should encourage large protected permanent pools adjacent to hunted wetlands to increase pintail numbers within wetland environments and responsibly benefit hunting opportunities while improving pintail conservation.","language":"English","publisher":"Nordic Board for Wildlife Research","publisherLocation":"Sacramento, CA","doi":"10.2981/09-099","usgsCitation":"Casazza, M.L., Coates, P.S., Miller, M.R., Overton, C.T., and Yparraguirre, D.R., 2012, Hunting influences the diel patterns in habitat selection by northern pintails Anas acuta: Wildlife Biology, v. 18, no. 1, p. 1-13, https://doi.org/10.2981/09-099.","productDescription":"13 p.","startPage":"1","endPage":"13","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474525,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/09-099","text":"Publisher Index Page"},{"id":254436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Suisun Marsh","volume":"18","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3290e4b0c8380cd5e8eb","contributors":{"authors":[{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":463149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":463151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":463152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":463150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yparraguirre, Daniel R.","contributorId":62476,"corporation":false,"usgs":true,"family":"Yparraguirre","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463153,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037990,"text":"70037990 - 2012 - Short-term response of <i>Dicamptodon tenebrosus</i> larvae to timber management in southwestern Oregon","interactions":[],"lastModifiedDate":"2017-04-06T15:18:02","indexId":"70037990","displayToPublicDate":"2012-04-04T16:31:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Short-term response of <i>Dicamptodon tenebrosus</i> larvae to timber management in southwestern Oregon","docAbstract":"<p>In the Pacific Northwest, previous studies have found a negative effect of timber management on the abundance of stream amphibians, but results have been variable and region specific. These studies have generally used survey methods that did not account for differences in capture probability and focused on stands that were harvested under older management practices. We examined the influences of contemporary forest practices on larval <i>Dicamptodon tenebrosus</i> as part of the Hinkle Creek paired watershed study. We used a mark-recapture analysis to estimate <i>D. tenebrosus</i> density at 100 1-m sites spread throughout the basin and used extended linear models that accounted for correlation resulting from the repeated surveys at sites across years. Density was associated with substrate, but we found no evidence of an effect of harvest. While holding other factors constant, the model-averaged estimates indicated; 1) each 10% increase in small cobble or larger substrate increased median density of <i>D. tenebrosus</i> 1.05 times, 2) each 100-ha increase in the upstream area drained decreased median density of <i>D. tenebrosus</i> 0.96 times, and 3) increasing the fish density in the 40 m around a site by 0.01 increased median salamander density 1.01 times. Although this study took place in a single basin, it suggests that timber management in similar third-order basins of the southwestern Oregon Cascade foothills is unlikely to have short-term effects of <i>D. tenebrosus</i> larvae.</p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.269","usgsCitation":"Leuthold, N., Adams, M.J., and Hayes, J.P., 2012, Short-term response of <i>Dicamptodon tenebrosus</i> larvae to timber management in southwestern Oregon: Journal of Wildlife Management, v. 76, no. 1, p. 28-37, https://doi.org/10.1002/jwmg.269.","productDescription":"9 p.","startPage":"28","endPage":"37","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":254468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Hinkle Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0523681640625,\n              43.395069512861355\n            ],\n            [\n              -122.99039840698241,\n              43.395069512861355\n            ],\n            [\n              -122.99039840698241,\n              43.447934055374034\n            ],\n            [\n              -123.0523681640625,\n              43.447934055374034\n            ],\n            [\n              -123.0523681640625,\n              43.395069512861355\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-11-18","publicationStatus":"PW","scienceBaseUri":"505b8ec1e4b08c986b318b1c","contributors":{"authors":[{"text":"Leuthold, Niels","contributorId":73042,"corporation":false,"usgs":true,"family":"Leuthold","given":"Niels","email":"","affiliations":[],"preferred":false,"id":463221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":463219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, John P.","contributorId":12100,"corporation":false,"usgs":true,"family":"Hayes","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":463220,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037940,"text":"sir20115201 - 2012 - Channel-pattern and cross-section changes in selected reaches of Elkhead Creek, northwestern Colorado, 1938-2009","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115201","displayToPublicDate":"2012-04-04T00:00:00","publicationYear":"2012","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":"2011-5201","title":"Channel-pattern and cross-section changes in selected reaches of Elkhead Creek, northwestern Colorado, 1938-2009","docAbstract":"Elkhead Creek near Craig, Colorado, is a sinuous, meandering stream whose lower 9 river miles have been regulated by Elkhead Reservoir and Dam since 1974. The U.S. Geological Survey, in cooperation with the Colorado River Water Conservation District, conducted a study from 2009 to 2010 that evaluated channel-pattern and cross-section changes and identified possible causes of streambank erosion in Elkhead Creek that could have been affected by Elkhead Dam and Reservoir. Aerial photographs taken from 1937 through 2009, streamflow records from water years 1953 through 2009, and channel surveys and sediment measurements made in 1997 and 2009 were used to analyze streambed and streambank erosion both downstream and upstream from the reservoir. Erosional trends were evaluated by calculating meander migration rates determined from analyses of georectified aerial photographs and from replicate channel surveys at monumented cross sections established in a previous study. The aerial photography dates defined four periods of roughly equal lengths for which mean meander migration rates were determined. Two periods were prior to and two periods were after Elkhead Reservoir was constructed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115201","collaboration":"Prepared in cooperation with the Colorado River Water Conservation District","usgsCitation":"Elliott, J.G., and Char, S.J., 2012, Channel-pattern and cross-section changes in selected reaches of Elkhead Creek, northwestern Colorado, 1938-2009: U.S. Geological Survey Scientific Investigations Report 2011-5201, iv, 21 p., https://doi.org/10.3133/sir20115201.","productDescription":"iv, 21 p.","onlineOnly":"Y","temporalStart":"2038-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":254425,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5201.gif"},{"id":254422,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5201/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","city":"Craig","otherGeospatial":"Elkhead Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.58333333333333,40.5 ], [ -107.58333333333333,40.700833333333335 ], [ -107.25,40.700833333333335 ], [ -107.25,40.5 ], [ -107.58333333333333,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f45ee4b0c8380cd4bcbd","contributors":{"authors":[{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":463121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Char, Steven J.","contributorId":53209,"corporation":false,"usgs":true,"family":"Char","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463122,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037949,"text":"sir20125059 - 2012 - Determination of streamflow of the Arkansas River near Bentley in south-central Kansas","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"sir20125059","displayToPublicDate":"2012-04-04T00:00:00","publicationYear":"2012","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":"2012-5059","title":"Determination of streamflow of the Arkansas River near Bentley in south-central Kansas","docAbstract":"The Kansas Department of Agriculture, Division of Water Resources, requires that the streamflow of the Arkansas River just upstream from Bentley in south-central Kansas be measured or calculated before groundwater can be pumped from the well field. When the daily streamflow of the Arkansas River near Bentley is less than 165 cubic feet per second (ft<sup>3</sup>/s), pumping must be curtailed. Daily streamflow near Bentley was calculated by determining the relations between streamflow data from two reference streamgages with a concurrent record of 24 years, one located 17.2 miles (mi) upstream and one located 10.9 mi downstream, and streamflow at a temporary gage located just upstream from Bentley (Arkansas River near Bentley, Kansas). Flow-duration curves for the two reference streamgages indicate that during 1988?2011, the mean daily streamflow was less than 165 ft<sup>3</sup>/s 30 to 35 percent of the time. During extreme low-flow (drought) conditions, the reach of the Arkansas River between Hutchinson and Maize can lose flow to the adjacent alluvial aquifer, with streamflow losses as much as 1.6 cubic feet per second per mile. Three models were developed to calculate the streamflow of the Arkansas River near Bentley, Kansas. The model chosen depends on the data available and on whether the reach of the Arkansas River between Hutchinson and Maize is gaining or losing groundwater from or to the adjacent alluvial aquifer. The first model was a pair of equations developed from linear regressions of the relation between daily streamflow data from the Bentley streamgage and daily streamflow data from either the Arkansas River near Hutchinson, Kansas, station (station number 07143330) or the Arkansas River near Maize, Kansas, station (station number 07143375). The standard error of the Hutchinson-only equation was 22.8 ft<sup>3</sup>/s, and the standard error of the Maize-only equation was 22.3 ft<sup>3</sup>/s. The single-station model would be used if only one streamgage was available. In the second model, the flow gradient between the streamflow near Hutchinson and the streamflow near Maize was used to calculate the streamflow at the Bentley streamgage. This equation resulted in a standard error of 26.7 ft<sup>3</sup>/s. In the third model, a multiple regression analysis between both the daily streamflow of the Arkansas River near Hutchinson, Kansas, and the daily streamflow of the Arkansas River near Maize, Kansas, was used to calculate the streamflow at the Bentley streamgage. The multiple regression equation had a standard error of 21.2 ft<sup>3</sup>/s, which was the smallest of the standard errors for all the models. An analysis of the number of low-flow days and the number of days when the reach between Hutchinson and Maize loses flow to the adjacent alluvial aquifer indicates that the long-term trend is toward fewer days of losing conditions. This trend may indicate a long-term increase in water levels in the alluvial aquifer, which could be caused by one or more of several conditions, including an increase in rainfall, a decrease in pumping, a decrease in temperature, and an increase in streamflow upstream from the Hutchinson-to-Maize reach of the Arkansas River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125059","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Perry, C.A., 2012, Determination of streamflow of the Arkansas River near Bentley in south-central Kansas: U.S. Geological Survey Scientific Investigations Report 2012-5059, vi, 7 p.; National Water Information System : Web Interface, https://doi.org/10.3133/sir20125059.","productDescription":"vi, 7 p.; National Water Information System : Web Interface","onlineOnly":"Y","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":254429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5059.gif"},{"id":254428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5059/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","country":"United States","state":"Kansas","county":"Harvey;Kingman;Reno;Sedgwick","city":"Bentley","otherGeospatial":"Arkansas River;Bentley Well Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.83333333333333,37.666666666666664 ], [ -97.83333333333333,38 ], [ -97.33333333333333,38 ], [ -97.33333333333333,37.666666666666664 ], [ -97.83333333333333,37.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ffcae4b0c8380cd4f3d0","contributors":{"authors":[{"text":"Perry, Charles A. cperry@usgs.gov","contributorId":2093,"corporation":false,"usgs":true,"family":"Perry","given":"Charles","email":"cperry@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":463136,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70177029,"text":"70177029 - 2012 - Assessing time-integrated dissolved concentrations and predicting toxicity of metals during diel cycling in streams","interactions":[],"lastModifiedDate":"2016-10-19T14:52:56","indexId":"70177029","displayToPublicDate":"2012-04-03T05:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing time-integrated dissolved concentrations and predicting toxicity of metals during diel cycling in streams","docAbstract":"Evaluating water quality and the health of aquatic organisms is challenging in systems with systematic diel (24 hour) or less predictable runoff-induced changes in water composition.  To advance our understanding of how to evaluate environmental health in these dynamic systems, field studies of diel cycling were conducted in two streams (Silver Bow Creek and High Ore Creek) affected by historical mining activities in southwestern Montana.  A combination of sampling and modeling tools were used to assess the toxicity of metals in these systems.  Diffusive Gradients in Thin Films (DGT) samplers were deployed at multiple time intervals during diel sampling to confirm that DGT integrates time-varying concentrations of dissolved metals.  Thermodynamic speciation calculations using site specific water compositions, including time-integrated dissolved metal concentrations determined from DGT, and a competitive, multiple-metal biotic ligand model incorporated into the Windemere Humic Aqueous Model Version 6.0 (WHAM VI) were used to determine the chemical speciation of dissolved metals and biotic ligands.  The model results were combined with previously collected toxicity data on cutthroat trout to derive a relationship that predicts the relative survivability of these fish at a given site.  This integrative approach may prove useful for assessing water quality and toxicity of metals to aquatic organisms in dynamic systems and evaluating whether potential changes in environmental health of aquatic systems are due to anthropogenic activities or natural variability.","language":"English","publisher":"Elsevier Science Direct","doi":"10.1016/j.scitotenv.2012.03.008","usgsCitation":"Balistrieri, L.S., Nimick, D.A., and Mebane, C.A., 2012, Assessing time-integrated dissolved concentrations and predicting toxicity of metals during diel cycling in streams: Science of the Total Environment, v. 425, p. 155-168, https://doi.org/10.1016/j.scitotenv.2012.03.008.","productDescription":"14 p.","startPage":"155","endPage":"168","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038447","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":329763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"425","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58088688e4b0f497e78e24d9","contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":651046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":651048,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651047,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70037942,"text":"sir20125016 - 2012 - Dispersal of larval suckers at the Williamson River Delta, Upper Klamath Lake, Oregon, 2006-09","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"sir20125016","displayToPublicDate":"2012-04-03T00:00:00","publicationYear":"2012","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":"2012-5016","title":"Dispersal of larval suckers at the Williamson River Delta, Upper Klamath Lake, Oregon, 2006-09","docAbstract":"An advection/diffusion modeling approach was used to simulate the transport of larval suckers from spawning areas in the Williamson River, through the newly restored Williamson River Delta, to Upper Klamath Lake. The density simulations spanned the years of phased restoration, from 2006/2007 prior to any levee breaching, to 2008 when the northern part of the delta was reconnected to the lake, and 2009 when levees on both sides of the delta had been breached. Model simulation results from all four years were compared to field data using rank correlation. Spearman &rho; correlation coefficients were usually significant and in the range 0.30 to 0.60, providing moderately strong validation of the model. The correlation coefficients varied with fish size class in a way that suggested that the model best described the distribution of smaller fish near the Williamson River channel, and larger fish away from the channel. When Lost River and shortnose/Klamath largescale suckers were simulated independently, the correlation results suggested that the model better described the transport and dispersal of the latter species. The incorporation of night-time-only drift behavior in the Williamson River channel neither improved nor degraded correlations with field data. The model showed that advection by currents is an important factor in larval dispersal.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125016","collaboration":"Prepared in cooperation with the Bureau of Reclamation?","usgsCitation":"Wood, T.M., Hendrixson, H.A., Markle, D.F., Erdman, C.S., Burdick, S.M., Ellsworth, C.M., and Buccola, N., 2012, Dispersal of larval suckers at the Williamson River Delta, Upper Klamath Lake, Oregon, 2006-09: U.S. Geological Survey Scientific Investigations Report 2012-5016, vi, 28 p.; Animation Downloads 2006-2009, https://doi.org/10.3133/sir20125016.","productDescription":"vi, 28 p.; Animation Downloads 2006-2009","temporalStart":"2006-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":251619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5016.jpg"},{"id":251617,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5016/","linkFileType":{"id":5,"text":"html"}}],"projection":"UTM, Zone 10N","datum":"North American Datum of 1927","country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake;Agency Lake;Williamson River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,42.05 ], [ -122.16666666666667,42.666666666666664 ], [ -121.58333333333333,42.666666666666664 ], [ -121.58333333333333,42.05 ], [ -122.16666666666667,42.05 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a021ae4b0c8380cd4feb0","contributors":{"authors":[{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendrixson, Heather A.","contributorId":43602,"corporation":false,"usgs":true,"family":"Hendrixson","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markle, Douglas F.","contributorId":14530,"corporation":false,"usgs":true,"family":"Markle","given":"Douglas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":463126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erdman, Charles S.","contributorId":66102,"corporation":false,"usgs":true,"family":"Erdman","given":"Charles","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":463129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":463124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellsworth, Craig M.","contributorId":14913,"corporation":false,"usgs":true,"family":"Ellsworth","given":"Craig","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":4295,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman L.","email":"nbuccola@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":463125,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037758,"text":"70037758 - 2012 - Effects of native forest restoration on soil hydraulic properties, Auwahi, Maui, Hawaiian Islands","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037758","displayToPublicDate":"2012-04-02T13:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of native forest restoration on soil hydraulic properties, Auwahi, Maui, Hawaiian Islands","docAbstract":"Over historic time Hawai'i's dryland forests have been largely replaced by grasslands for grazing livestock. On-going efforts have been undertaken to restore dryland forests to bring back native species and reduce erosion. The reestablishment of native ecosystems on land severely degraded by long-term alternative use requires reversal of the impacts of erosion, organic-matter loss, and soil structural damage on soil hydraulic properties. This issue is perhaps especially critical in dryland forests where the soil must facilitate native plants' optimal use of limited water. These reforestation efforts depend on restoring soil ecological function, including soil hydraulic properties. We hypothesized that reforestation can measurably change soil hydraulic properties over restoration timescales. At a site on the island of Maui (Hawai'i, USA), we measured infiltration capacity, hydrophobicity, and abundance of preferential flow channels in a deforested grassland and in an adjacent area where active reforestation has been going on for fourteen years. Compared to the nearby deforested rangeland, mean field-saturated hydraulic conductivity in the newly restored forest measured by 55 infiltrometer tests was greater by a factor of 2.0. Hydrophobicity on an 8-point scale increased from average category 6.0 to 6.9. A 4-point empirical categorization of preferentiality in subsurface wetting patterns increased from an average 1.3 in grasslands to 2.6 in the restored forest. All of these changes act to distribute infiltrated water faster and deeper, as appropriate for native plant needs. This study indicates that vegetation restoration can lead to ecohydrologically important changes in soil hydraulic properties over decadal time scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL051120","usgsCitation":"Perkins, K.S., Nimmo, J.R., and Medeiros, A.C., 2012, Effects of native forest restoration on soil hydraulic properties, Auwahi, Maui, Hawaiian Islands: Geophysical Research Letters, v. 39, no. L05405, 4 p., https://doi.org/10.1029/2012GL051120.","productDescription":"4 p.","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":246929,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246916,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1029/2012GL051120","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","county":"Maui","otherGeospatial":"Auwahi","volume":"39","issue":"L05405","noUsgsAuthors":false,"publicationDate":"2012-03-14","publicationStatus":"PW","scienceBaseUri":"505a0766e4b0c8380cd5169e","contributors":{"authors":[{"text":"Perkins, Kimberlie S.","contributorId":79945,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":462624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":462622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Medeiros, Arthur C. 0000-0002-8090-8451 amedeiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8090-8451","contributorId":2152,"corporation":false,"usgs":true,"family":"Medeiros","given":"Arthur","email":"amedeiros@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":462623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037900,"text":"70037900 - 2012 - Transformation through time: How wildlife disease became a focus of conservation","interactions":[],"lastModifiedDate":"2024-03-19T15:32:16.465172","indexId":"70037900","displayToPublicDate":"2012-04-02T11:46:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Transformation through time: How wildlife disease became a focus of conservation","docAbstract":"<p>When I began my career as an assistant waterfowl biologist in 1956, wildlife disease was not a major concern for conservation agencies. Some states&mdash; such as California, Michigan, New York, Wyoming, and Colorado&mdash; had small internal wildlife disease programs to investigate wildlife mortality events, and the U.S. Fish and Wildlife Service (FWS) had a program focused on migratory birds.</p>","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","usgsCitation":"Friend, M., 2012, Transformation through time: How wildlife disease became a focus of conservation: The Wildlife Professional, v. 6, no. 1, p. 24-27.","productDescription":"4 p.","startPage":"24","endPage":"27","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":246909,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb6d5e4b08c986b326ee8","contributors":{"authors":[{"text":"Friend, Milton 0000-0002-2882-3629","orcid":"https://orcid.org/0000-0002-2882-3629","contributorId":31332,"corporation":false,"usgs":true,"family":"Friend","given":"Milton","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":462996,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037936,"text":"sir20125030 - 2012 - Linking urbanization to the Biological Condition Gradient (BCG) for stream ecosystems in the Northeastern United States using a Bayesian network approach","interactions":[],"lastModifiedDate":"2021-02-09T16:55:47.377688","indexId":"sir20125030","displayToPublicDate":"2012-04-02T11:04:00","publicationYear":"2012","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":"2012-5030","title":"Linking urbanization to the Biological Condition Gradient (BCG) for stream ecosystems in the Northeastern United States using a Bayesian network approach","docAbstract":"<p>Urban development alters important physical, chemical, and biological processes that define urban stream ecosystems. An approach was developed for quantifying the effects of these processes on aquatic biota, and then linking those effects to endpoints that can be used for environmental management. These complex, interacting systems are challenging to model from a scientific standpoint. A desirable model clearly shows the system, simulates the interactions, and ultimately predicts results of management actions. Traditional regression techniques that calculate empirical relations between pairs of environmental factors do not capture the interconnected web of multiple stressors, but urban development effects are not yet understood at the detailed scales required to make mechanistic modeling approaches feasible. Therefore, in contrast to a fully deterministic or fully statistical modeling approach, a Bayesian network model provides a hybrid approach that can be used to represent known general associations between variables while acknowledging uncertainty in predicted outcomes. It does so by quantifying an expert-elicited network of probabilistic relations between variables. Advantages of this modeling approach include (1) flexibility in accommodating many model specifications and information types; (2) efficiency in storing and manipulating complex information, and to parameterize; and (3) transparency in describing the relations using nodes and arrows and in describing uncertainties with discrete probability distributions for each variable.</p>\n<p>In realization of the aforementioned advantages, a Bayesian network model was constructed to characterize the effect of urban development on aquatic macroinvertebrate stream communities through three simultaneous, interacting ecological pathways affecting stream hydrology, habitat, and water quality across watersheds in the Northeastern United States. This model incorporates both empirical data and expert knowledge to calculate the probabilities of attaining desired aquatic ecosystem conditions under different urban stress levels, environmental conditions, and management options. Ecosystem conditions are characterized in terms of standardized Biological Condition Gradient (BCG) management endpoints. This approach to evaluating urban development-induced perturbations in watersheds integrates statistical and mechanistic perspectives, different information sources, and several ecological processes into a comprehensive description of the system that can be used to support decision making. The completed model can be used to infer which management actions would lead to the highest likelihood of desired BCG tier achievement. For example, if best management practices (BMP) were implemented in a highly urbanized watershed to reduce flashiness to medium levels and specific conductance to low levels, the stream would have a 70-percent chance of achieving BCG Tier 3 or better, relative to a 24-percent achievement likelihood for unmanaged high urban land cover. Results are reported probabilistically to account for modeling uncertainty that is inherent in sources such as natural variability and model simplification error.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125030","collaboration":"Prepared in cooperation with Duke University","usgsCitation":"Kashuba, R., McMahon, G., Cuffney, T.F., Qian, S., Reckhow, K., Gerritsen, J., and Davies, S., 2012, Linking urbanization to the Biological Condition Gradient (BCG) for stream ecosystems in the Northeastern United States using a Bayesian network approach: U.S. Geological Survey Scientific Investigations Report 2012-5030, viii, 34 p., https://doi.org/10.3133/sir20125030.","productDescription":"viii, 34 p.","onlineOnly":"Y","ipdsId":"IP-022353","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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Center","active":true,"usgs":true}],"preferred":true,"id":463102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Song","contributorId":36400,"corporation":false,"usgs":true,"family":"Qian","given":"Song","affiliations":[],"preferred":false,"id":463104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reckhow, Kenneth","contributorId":107541,"corporation":false,"usgs":true,"family":"Reckhow","given":"Kenneth","affiliations":[],"preferred":false,"id":463108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerritsen, Jeroen","contributorId":80128,"corporation":false,"usgs":true,"family":"Gerritsen","given":"Jeroen","affiliations":[],"preferred":false,"id":463106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davies, Susan","contributorId":63249,"corporation":false,"usgs":true,"family":"Davies","given":"Susan","email":"","affiliations":[],"preferred":false,"id":463105,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037917,"text":"70037917 - 2012 - Time series geophysical monitoring of permanganate injections and in situ chemical oxidation of PCE, OU1 area, Savage Superfund Site, Milford, NH, USA","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"70037917","displayToPublicDate":"2012-04-02T10:27:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Time series geophysical monitoring of permanganate injections and in situ chemical oxidation of PCE, OU1 area, Savage Superfund Site, Milford, NH, USA","docAbstract":"In situ chemical oxidation (ISCO) treatment with sodium permanganate, an electrically conductive oxidant, provides a strong electrical signal for tracking of injectate transport using time series geophysical surveys including direct current (DC) resistivity and electromagnetic (EM) methods. Effective remediation is dependent upon placing the oxidant in close contact with the contaminated aquifer. Therefore, monitoring tools that provide enhanced tracking capability of the injectate offer considerable benefit to guide subsequent ISCO injections. Time-series geophysical surveys were performed at a superfund site in New Hampshire, USA over a one-year period to identify temporal changes in the bulk electrical conductivity of a tetrachloroethylene (PCE; also called tetrachloroethene) contaminated, glacially deposited aquifer due to the injection of sodium permanganate. The ISCO treatment involved a series of pulse injections of sodium permanganate from multiple injection wells within a contained area of the aquifer. After the initial injection, the permanganate was allowed to disperse under ambient groundwater velocities. Time series geophysical surveys identified the downward sinking and pooling of the sodium permanganate atop of the underlying till or bedrock surface caused by density-driven flow, and the limited horizontal spread of the sodium permanganate in the shallow parts of the aquifer during this injection period. When coupled with conventional monitoring, the surveys allowed for an assessment of ISCO treatment effectiveness in targeting the PCE plume and helped target areas for subsequent treatment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2012.01.008","usgsCitation":"Harte, P.T., Smith, T.E., Williams, J., and Degnan, J.R., 2012, Time series geophysical monitoring of permanganate injections and in situ chemical oxidation of PCE, OU1 area, Savage Superfund Site, Milford, NH, USA: Journal of Contaminant Hydrology, v. 132, p. 58-74, https://doi.org/10.1016/j.jconhyd.2012.01.008.","productDescription":"17 p.","startPage":"58","endPage":"74","numberOfPages":"18","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":246914,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246897,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2012.01.008","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","otherGeospatial":"Savage Superfund Site","volume":"132","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb3b0e4b08c986b325f4d","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Thor E. tesmith@usgs.gov","contributorId":3925,"corporation":false,"usgs":true,"family":"Smith","given":"Thor","email":"tesmith@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463032,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037934,"text":"ds675 - 2012 - Archive of single beam and swath bathymetry data collected nearshore of the Gulf Islands National Seashore, Mississippi, from West Ship Island, Mississippi, to Dauphin Island, Alabama: Methods and data report for USGS Cruises 08CCT01 and 08CCT02, July 2008, and 09CCT03 and 09CCT04, June 2009","interactions":[],"lastModifiedDate":"2012-09-06T17:16:18","indexId":"ds675","displayToPublicDate":"2012-04-02T09:18:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"675","title":"Archive of single beam and swath bathymetry data collected nearshore of the Gulf Islands National Seashore, Mississippi, from West Ship Island, Mississippi, to Dauphin Island, Alabama: Methods and data report for USGS Cruises 08CCT01 and 08CCT02, July 2008, and 09CCT03 and 09CCT04, June 2009","docAbstract":"<p>During the summers of 2008 and 2009 the USGS conducted bathymetric surveys from West Ship Island, Miss., to Dauphin Island, Ala., as part of the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility project.  The survey area extended from the shoreline out to approximately 2 kilometers and included the adjacent passes (fig. 1).  The bathymetry was primarily used to create a topo-bathymetric map and provide a base-level assessment of the seafloor following the 2005 hurricane season.  Additionally, these data will be used in conjunction with other geophysical data (chirp and side scan sonar) to construct a comprehensive geological framework of the Mississippi Barrier Island Complex.  The culmination of the geophysical surveys will provide baseline bathymetry necessary for scientists to define and interpret seafloor habitat for this area and for scientists to predict future geomorpholocial changes of the islands with respect to climate change, storm impact, and sea-level rise. Furthermore, these data provide information for feasibility of barrier island restoration, particularly in Camille Cut, and for the preservation of historical Fort Massachusetts. For more information refer to http://ngom.usgs.gov/gomsc/mscip/index.html.</p>\n<p>Since bathymetric surveys have often been conducted for navigational purposes, soundings have traditionally been referenced to a water level datum using tide gages and tide models. Bathymetric measurements referenced to a Global Positioning System (GPS) is a more accurate way of representing water depth and has been implemented in the acquisition and processing procedures for these datasets. Previous single-beam bathymetric studies performed at the USGS Center for Coastal and Marine Science have successfully referenced bathymetric measurements to GPS (DeWitt and others, 2007; Hansen 2008 and 2009). The 2008-2009 bathymetry surveys were conducted as a test to (1) develop acquisition and processing technology utilizing both single beam and swath bathymetry survey methods together, (2) reference both types of measurements to GPS rather than water level, and (3) compare the differences between methods in acquisition and processing. Results of the survey are explained in greater detail within this report.</p>\n<p>To acquire suitable coverage of the study area in a limited time frame, the seafloor-elevation survey was conducted using three techniques: single-beam bathymetry, interferometric swath bathymetry, and a walking kinematic survey of the island shorelines.  All three techniques utilized GPS measurements.  Implementation of these techniques was executed concurrently yet independently aboard two research vessels: the <i>RV Survey Cat</i>, a 26-foot (ft) shallow-draft Glacier Bay Coastal Runner, and the 50-ft <i>RV G.K. Gilbert</i>.  A portable push buggy with a rigid antenna mount served as the platform for the kinematic shoreline survey.  Data from each survey technique was post-processed and edited independently with proper inclusion of the differentially processed external navigation files.  The x,y,z components from each method were then combined and the two survey years (2008 and 2009) were merged into one dataset. The 2008 bathymetry data were processed at the USGS Center for Coastal and Marine Science in St. Petersburg, Fla., and the 2009 bathymetry data were processed at the USGS Coastal and Marine Science Center located in Woods Hole, Mass.</p>\n<p>This report serves as an archive of the processed single beam and interferometric swath bathymetry, outlines the methodology, and reports the results. Data products herein include gridded and interpolated digital depth surfaces, and x,y,z data products for both single beam and interferometric swath bathymetry. Additional files include trackline maps, navigation files, geographic information system (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Scanned images of the handwritten FACS logs and digital FACS logs are also provided as PDF files. Refer to the Acronyms page for description of acronyms and abbreviations used in this report or hold the cursor over an acronym for a pop-up explanation.</p>\n<p>The USGS St. Petersburg Coastal and Marine Science Center assigns a unique identifier to each cruise or field activity. For example, 08CCT01 indicates that the data were collected in 2008 for the Coastal Change and Transport (CCT) study and the data were collected during the first (01) field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.</p>\n<p>See the digital FACS equipment log for details about the acquisition equipment used. Raw datasets are stored digitally at the USGS St. Petersburg Coastal and Marine Science Center and processed systematically using Novatel's GrafNav version 7.6, SANDS version 3.7, SEA SWATH<i>plus</i> version 3.06.04.03, CARIS HIPS AND SIPS version 3.6, and ESRI ArcGIS version 9.3.1.  For more information on processing refer to the Equipment and Processing page.  Chirp seismic data were also collected during these surveys and are archived separately.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds675","usgsCitation":"DeWitt, N.T., Flocks, J.G., Pendleton, E., Hansen, M., Reynolds, B., Kelso, K.W., Wiese, D.S., and Worley, C.R., 2012, Archive of single beam and swath bathymetry data collected nearshore of the Gulf Islands National Seashore, Mississippi, from West Ship Island, Mississippi, to Dauphin Island, Alabama: Methods and data report for USGS Cruises 08CCT01 and 08CCT02, July 2008, and 09CCT03 and 09CCT04, June 2009: U.S. Geological Survey Data Series 675, HTML Document; GIS Download, https://doi.org/10.3133/ds675.","productDescription":"HTML Document; GIS Download","costCenters":[],"links":[{"id":246891,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/675/","linkFileType":{"id":5,"text":"html"}},{"id":246894,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_675.jpg"}],"country":"United States","state":"Mississippi;Alabama","otherGeospatial":"Gulf Islands National Seashore;West Ship Island;Dauphin Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.21666666666667,30.183333333333334 ], [ -89.21666666666667,30.45 ], [ -88.18333333333334,30.45 ], [ -88.18333333333334,30.183333333333334 ], [ -89.21666666666667,30.183333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed4de4b0c8380cd49719","contributors":{"authors":[{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Elizabeth A.","contributorId":101312,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":463092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Mark E.","contributorId":49943,"corporation":false,"usgs":true,"family":"Hansen","given":"Mark E.","affiliations":[],"preferred":false,"id":463091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reynolds, B.J.","contributorId":47874,"corporation":false,"usgs":true,"family":"Reynolds","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":463090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463086,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Worley, Charles R. cworley@usgs.gov","contributorId":3063,"corporation":false,"usgs":true,"family":"Worley","given":"Charles","email":"cworley@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463087,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037933,"text":"sir20125031 - 2012 - Simulation of streamflows and basin-wide hydrologic variables over several climate-change scenarios, Methow River basin, Washington","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125031","displayToPublicDate":"2012-04-02T08:54:00","publicationYear":"2012","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":"2012-5031","title":"Simulation of streamflows and basin-wide hydrologic variables over several climate-change scenarios, Methow River basin, Washington","docAbstract":"<p>The purpose of this project was to demonstrate the capabilities of an existing watershed model and downscaling procedures to provide simulated hydrological data over various greenhouse gas emission scenarios for use in the Methow River framework prototype. An existing watershed model was used to simulate daily time series of streamflow and basin-wide hydrologic variables for baseline conditions (1990&ndash;2000), and then for all combinations of three greenhouse gas emission scenarios and five general circulation models for future conditions (2008&ndash;2095). Input data for 18 precipitation and 17 temperature model input sites were generated using statistical techniques to downscale general circulation model data. The simulated results were averaged using an 11-year moving window to characterize the central year of the window to provide simulated data for water years 2008&ndash;2095.</p>\n<p>Simulation results indicate that substantial changes of monthly mean streamflows will occur. For all greenhouse gas emission scenarios, the future streamflows are greater in the winter than baseline conditions because a greater percentage of future precipitation is projected to fall as rain rather than as snow. The simulated future spring streamflows are less than baseline conditions because the spring snowpacks are smaller; therefore, flow contributions from snowmelt are less.</p>\n<p>A database was developed to automate model execution and to provide users with Internet access to voluminous data products ranging from summary figures to model output timeseries. Database-enabled Internet tools were developed to allow users to create interactive graphs of output results based on their analysis needs. For example, users were able to create graphs by selecting time intervals, greenhouse gas emission scenarios, general circulation models, and specific hydrologic variables.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125031","usgsCitation":"Voss, F.D., and Mastin, M.C., 2012, Simulation of streamflows and basin-wide hydrologic variables over several climate-change scenarios, Methow River basin, Washington: U.S. Geological Survey Scientific Investigations Report 2012-5031, vi, 18 p.; Web tools link, https://doi.org/10.3133/sir20125031.","productDescription":"vi, 18 p.; Web tools link","onlineOnly":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":246895,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5031.jpg"},{"id":246890,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5031/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Methow River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.83333333333333,48 ], [ -120.83333333333333,49 ], [ -119.75,49 ], [ -119.75,48 ], [ -120.83333333333333,48 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9097e4b08c986b3195be","contributors":{"authors":[{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038139,"text":"tm10C18 - 2012 - Determination of the &delta;<sup>13</sup>C of dissolved inorganic carbon in water; RSIL lab code 1710","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"tm10C18","displayToPublicDate":"2012-04-01T20:21:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"10-c18","title":"Determination of the &delta;<sup>13</sup>C of dissolved inorganic carbon in water; RSIL lab code 1710","docAbstract":"The purpose of the Reston Stable Isotope Laboratory (RSIL) lab code 1710 is to present a method to determine the &delta;<sup>13</sup>C of dissolved inorganic carbon (DIC) of water. The DIC of water is precipitated using ammoniacal strontium chloride (SrCl<sub>2</sub>) solution to form strontium carbonate (SrCO<sub>3</sub>). The &delta;<sup>13</sup>C is analyzed by reacting SrCO<sub>3</sub> with 100-percent phosphoric acid (H<sub>3</sub>PO<sub>4</sub>) to liberate carbon quantitatively as carbon dioxide (CO<sub>2</sub>), which is collected, purified by vacuum sublimation, and analyzed by dual inlet isotope-ratio mass spectrometry (DI-IRMS). The DI-IRMS is a DuPont double-focusing mass spectrometer. One ion beam passes through a slit in a forward collector and is collected in the rear collector. The other measurable ion beams are collected in the front collector. By changing the ion-accelerating voltage under computer control, the instrument is capable of measuring mass/charge (<i>m/z</i>) 45 or 46 in the rear collector and <i>m/z</i> 44 and 46 or 44 and 45, respectively, in the front collector. The ion beams from these m/z values are as follows: <i>m/z</i> 44 = CO<sub>2</sub> = <sup>12</sup>C<sup>16</sup>O<sup>16</sup>O, <i>m/z</i> 45 = CO<sub>2</sub> = <sup>13</sup>C<sup>16</sup>O<sup>16</sup>O primarily, and <i>m/z</i> 46 = CO<sub>2</sub> = <sup>12</sup>C<sup>16</sup>O<sup>18</sup>O primarily. The data acquisition and control software calculates &delta;<sup>13</sup>C values.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Chapter 18 of Section C, Stable Isotope-Ratio Methods, Book 10, Methods of the Reston Stable Isotope Laboratory","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm10C18","usgsCitation":"Singleton, G.L., Revesz, K., and Coplen, T.B., 2012, Determination of the &delta;<sup>13</sup>C of dissolved inorganic carbon in water; RSIL lab code 1710: U.S. Geological Survey Techniques and Methods 10-c18, viii, 12 p.; Appendices; Chapter 18, Section C, https://doi.org/10.3133/tm10C18.","productDescription":"viii, 12 p.; Appendices; Chapter 18, Section C","startPage":"i","endPage":"28","numberOfPages":"36","additionalOnlineFiles":"N","costCenters":[{"id":543,"text":"Reston Stable Isotope Laboratory","active":false,"usgs":true}],"links":[{"id":254558,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_10c18.gif"},{"id":254557,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/10c18/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ffcee4b0c8380cd4f3e5","contributors":{"authors":[{"text":"Singleton, Glenda L.","contributorId":77430,"corporation":false,"usgs":true,"family":"Singleton","given":"Glenda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":463503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revesz, Kinga","contributorId":64285,"corporation":false,"usgs":true,"family":"Revesz","given":"Kinga","affiliations":[],"preferred":false,"id":463502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":463501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048861,"text":"70048861 - 2012 - Estimating shorebird populations during spring stopover in rice fields of the Louisiana and Texas Gulf Coastal Plain","interactions":[],"lastModifiedDate":"2013-11-07T11:16:57","indexId":"70048861","displayToPublicDate":"2012-04-01T11:09:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Estimating shorebird populations during spring stopover in rice fields of the Louisiana and Texas Gulf Coastal Plain","docAbstract":"Migrating shorebird populations using approximately 2% of Louisiana and Texas Gulf Coastal rice fields were surveyed during spring migration (March–May of 1997 and 1998) using biweekly stratified random surveys conducted at 50 roadside survey points and approximately 30,000 shorebirds were observed. Shorebird counts were extrapolated and almost 1.4 million birds in 1997 and over 1.6 million birds of 31 species in 1998 were estimated to use rice field habitat for stopover sites in Louisiana and Texas. Greater than 50% of the estimated North American populations were estimated to use rice field habitats for five species, including a species of concern, Buff-breasted Sandpiper (Tryngites subruficollis) at 187%. Because of predictability of suitable rice field habitat acreage, timing of field preparation and water availability, coastal rice prairies are identified as critical spring migration stopover sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0301","usgsCitation":"Norling, W., Jeske, C.W., Thigpen, T.F., and Chadwick, P.C., 2012, Estimating shorebird populations during spring stopover in rice fields of the Louisiana and Texas Gulf Coastal Plain: Waterbirds, v. 35, no. 3, p. 361-370, https://doi.org/10.1675/063.035.0301.","productDescription":"10 p.","startPage":"361","endPage":"370","numberOfPages":"10","ipdsId":"IP-033428","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":278916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278915,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.035.0301"}],"country":"United States","state":"Louisiana;Texas","otherGeospatial":"Gulf Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.8126,28.0794 ], [ -97.8126,31.3629 ], [ -91.5799,31.3629 ], [ -91.5799,28.0794 ], [ -97.8126,28.0794 ] ] ] } } ] }","volume":"35","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cc48de4b0850ea050ce63","contributors":{"authors":[{"text":"Norling, Wayne","contributorId":69877,"corporation":false,"usgs":true,"family":"Norling","given":"Wayne","email":"","affiliations":[],"preferred":false,"id":485760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jeske, Clinton W. jeskec@usgs.gov","contributorId":2982,"corporation":false,"usgs":true,"family":"Jeske","given":"Clinton","email":"jeskec@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":485758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thigpen, Tyler F.","contributorId":97412,"corporation":false,"usgs":true,"family":"Thigpen","given":"Tyler","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":485761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chadwick, Paul C.","contributorId":34791,"corporation":false,"usgs":true,"family":"Chadwick","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485759,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155917,"text":"70155917 - 2012 - Changes in shallow groundwater quality beneath recently urbanized areas in the Memphis, Tennessee area","interactions":[],"lastModifiedDate":"2015-08-17T10:05:45","indexId":"70155917","displayToPublicDate":"2012-04-01T11:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Changes in shallow groundwater quality beneath recently urbanized areas in the Memphis, Tennessee area","docAbstract":"<p><span>Memphis, the largest city in the state of Tennessee, and its surrounding suburbs depend on a confined aquifer, the Memphis aquifer, for drinking water. Concern over the potential for downward movement of water from an overlying shallow aquifer to the underlying Memphis aquifer provided impetus for monitoring groundwater quality within the shallow aquifer. The occurrence of volatile organic compounds (VOCs), nitrate, and pesticides in samples from the shallow well network indicate a widespread affect on water quality from the overlying urban land use. Total pesticide concentration was generally higher in more recently recharged groundwater indicating that as the proportion of recent water increases, the occurrence of pesticides related to the current urban land use also increases. Groundwater samples with nitrate concentrations greater than 1.5&nbsp;mg/l and detectable concentrations of the pesticides atrazine and simazine also had higher concentrations of chloroform, a VOC primarily associated with urban land use, than in other samples. The age of the water from these wells indicates that these concentrations are most likely not representative of past agricultural use, but of more recent urban use of these chemicals. Given that the median age of water represented by the shallow well network was 21&nbsp;years, a lag time likely exists between changes in land use and the occurrence of constituents related to urbanization in shallow groundwater.</span></p>","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/j.1752-1688.2011.00616.x","usgsCitation":"Barlow, J.R., Kingsbury, J.A., and Coupe, R.H., 2012, Changes in shallow groundwater quality beneath recently urbanized areas in the Memphis, Tennessee area: Journal of the American Water Resources Association, v. 48, no. 2, p. 336-354, https://doi.org/10.1111/j.1752-1688.2011.00616.x.","productDescription":"9 p.","startPage":"336","endPage":"354","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022040","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":306777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-01-05","publicationStatus":"PW","scienceBaseUri":"55d305aee4b0518e35468cde","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169312,"text":"70169312 - 2012 - Quantity, structure, and habitat selection of natural spawning reefs by walleyes in a north temperate lake: A multiscale analysis","interactions":[],"lastModifiedDate":"2016-03-24T09:54:28","indexId":"70169312","displayToPublicDate":"2012-04-01T04:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Quantity, structure, and habitat selection of natural spawning reefs by walleyes in a north temperate lake: A multiscale analysis","docAbstract":"<p><span>Spawning habitat, the cornerstone of self-sustaining, naturally reproducing walleye</span><i>Sander vitreus</i><span>&nbsp;populations, has received limited quantitative research. Our goal was to quantitatively describe the structure and quantity of natural walleye spawning habitat and evaluate potential selection of habitat in Big Crooked Lake, Wisconsin. In 2004 and 2005, we located and delineated walleye egg deposition polygons through visual snorkel and scuba surveys. We also delineated recently deposited, adhesive egg patches daily along one spawning reef in 2005. To determine habitat selection, we quantified and compared spawning and lakewide available habitat at different scales. In both years, walleyes used similar spawning habitat, including three geomorphic types: linear shorelines, a point bar, and an island. Walleyes used only 14% of the entire lake shoreline and 39% of the shoreline comprised of gravel (6.4&ndash;76.0&nbsp;mm), cobble (76.1&ndash;149.9&nbsp;mm), or coarser substrates for spawning in 2005, indicating selection of specific spawning habitat. Lakewide, walleyes spawned close to shore (outer egg deposition polygon boundary mean distance = 2.7&nbsp;m), in shallow water (outer egg deposition polygon boundary mean depth = 0.3&nbsp;m), and over gravel substrate (percent coverage mean = 64.3) having low embeddedness (mean = 1.30). Our best nearshore (0&ndash;13-m) resource selection function predicted an increase in the relative probability of egg deposition with the increasing abundance of gravel, cobble, and rubble (150.0&ndash;303.9-mm) substrates and a decrease with increasing distance from shore and water depth (89.9% overall correct classification). Adhesive egg patches confirmed that walleyes actively chose nearshore, shallow-water, and coarse-substrate spawning habitat. The quantitative habitat information and predictive models will assist biologists in developing walleye spawning reef protection strategies and potentially aid in designing and evaluating artificial spawning reefs.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.679017","usgsCitation":"Raabe, J.K., and Bozek, M.A., 2012, Quantity, structure, and habitat selection of natural spawning reefs by walleyes in a north temperate lake: A multiscale analysis: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1097-1108, https://doi.org/10.1080/00028487.2012.679017.","productDescription":"12 p.","startPage":"1097","endPage":"1108","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032543","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Big Crooked Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.68276977539062,\n              46.12988744484639\n            ],\n            [\n              -89.68276977539062,\n              46.150345757336574\n            ],\n            [\n              -89.65856552124023,\n              46.150345757336574\n            ],\n            [\n              -89.65856552124023,\n              46.12988744484639\n            ],\n            [\n              -89.68276977539062,\n              46.12988744484639\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"141","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-02","publicationStatus":"PW","scienceBaseUri":"56f50fcfe4b0f59b85e1eb84","contributors":{"authors":[{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":623503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozek, Michael A.","contributorId":51030,"corporation":false,"usgs":true,"family":"Bozek","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043296,"text":"70043296 - 2012 - Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data","interactions":[],"lastModifiedDate":"2018-02-21T14:56:53","indexId":"70043296","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1929,"text":"Hydrology and Earth System Sciences Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data","docAbstract":"Lake Turkana, the largest desert lake in the world, is fed by ungauged or poorly gauged river systems. To meet the demand of electricity in the East African region, Ethiopia is currently building the Gibe III hydroelectric dam on the Omo River, which supplies more than 80% of the inflows to Lake Turkana. On completion, the Gibe III dam will be the tallest dam in Africa with a height of 241 m. However, the nature of interactions and potential impacts of regulated inflows to Lake Turkana are not well understood due to its remote location and unavailability of reliable in-situ datasets. In this study, we used 12 years (1998–2009) of existing multi-source satellite and model-assimilated global weather data. We use calibrated multi-source satellite data-driven water balance model for Lake Turkana that takes into account model routed runoff, lake/reservoir evapotranspiration, direct rain on lakes/reservoirs and releases from the dam to compute lake water levels. The model evaluates the impact of Gibe III dam using three different approaches such as (a historical approach, a knowledge-based approach, and a nonparametric bootstrap resampling approach) to generate rainfall-runoff scenarios. All the approaches provided comparable and consistent results. Model results indicated that the hydrological impact of the dam on Lake Turkana would vary with the magnitude and distribution of rainfall post-dam commencement. On average, the reservoir would take up to 8–10 months, after commencement, to reach a minimum operation level of 201 m depth of water. During the dam filling period, the lake level would drop up to 2 m (95% confidence) compared to the lake level modelled without the dam. The lake level variability caused by regulated inflows after the dam commissioning were found to be within the natural variability of the lake of 4.8 m. Moreover, modelling results indicated that the hydrological impact of the Gibe III dam would depend on the initial lake level at the time of dam commencement. Areas along the Lake Turkana shoreline that are vulnerable to fluctuations in lake levels were also identified. This study demonstrates the effectiveness of using existing multi-source satellite data in a basic modeling framework to assess the potential hydrological impact of an upstream dam on a terminal downstream lake. The results obtained from this study could also be used to evaluate alternate dam-filling scenarios and assess the potential impact of the dam on Lake Turkana under different operational strategies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-9-2987-2012","usgsCitation":"Velpuri, N.M., and Senay, G.B., 2012, Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data: Hydrology and Earth System Sciences Discussions, v. 16, p. 3561-3578, https://doi.org/10.5194/hessd-9-2987-2012.","productDescription":"18 p.","startPage":"3561","endPage":"3578","ipdsId":"IP-038838","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-9-2987-2012","text":"Publisher Index Page"},{"id":267580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267579,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hessd-9-2987-2012"}],"country":"United States","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511f66f9e4b03b29402c5d79","contributors":{"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":4441,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":535403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473317,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043366,"text":"70043366 - 2012 - Urbanization eases water crisis in China","interactions":[],"lastModifiedDate":"2013-06-03T11:29:59","indexId":"70043366","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1532,"text":"Environmental Development","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization eases water crisis in China","docAbstract":"Socioeconomic development in China has resulted in rapid urbanization, which includes a large amount of people making the transition from rural areas to cities. Many have speculated that this mass migration may have worsened the water crisis in many parts of the country. However, this study shows that the water crisis would be more severe if the rural-to-urban migration did not occur.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Development","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envdev.2012.02.003","usgsCitation":"Wu, Y., Liu, S., and Ji, C., 2012, Urbanization eases water crisis in China: Environmental Development, v. 2, no. 2012, p. 142-144, https://doi.org/10.1016/j.envdev.2012.02.003.","productDescription":"2 p.","startPage":"142","endPage":"144","ipdsId":"IP-030619","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":273092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273091,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envdev.2012.02.003"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5,18.15 ], [ -73.5,53.56 ], [ -134.77,53.56 ], [ -134.77,18.15 ], [ -73.5,18.15 ] ] ] } } ] }","volume":"2","issue":"2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adbaebe4b07c214e64bd47","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ji, Chen","contributorId":62502,"corporation":false,"usgs":true,"family":"Ji","given":"Chen","email":"","affiliations":[],"preferred":false,"id":473470,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045580,"text":"70045580 - 2012 - Socio-environmental health analysis in Nogales, Sonora, Mexico","interactions":[],"lastModifiedDate":"2013-06-17T15:57:15","indexId":"70045580","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3715,"text":"Water Quality, Exposure, and Health","active":true,"publicationSubtype":{"id":10}},"title":"Socio-environmental health analysis in Nogales, Sonora, Mexico","docAbstract":"In Nogales, Sonora, Mexico, some neighborhoods, or colonias, have intermittent delivery of water through pipes from the city of Nogales’s municipal water-delivery system while other areas lack piped water and rely on water delivered by truck or pipas. This research examined how lifestyles, water quality, and potential disease response, such as diarrhea, differs seasonally from a colonia with access to piped water as opposed to one using alternative water-delivery systems. Water samples were collected from taps or spigots at homes in two Nogales colonias. One colonia reflected high socio-environmental conditions where residents are supplied with municipal piped water (Colonia Lomas de Fatima); the second colonia reflected low socio-environmental conditions, lacking access to piped water and served by pipas (Colonia Luis Donaldo Colosio). A survey was developed and implemented to characterize perceptions of water quality, health impacts, and quality of life. Water samples were analyzed for microbial and inorganic water-quality parameters known to impact human health including, Escherichia coli (E. coli), total coliform bacteria, arsenic, and lead. A total of 21 households agreed to participate in the study (14 in Colosio and 7 in Fatima). In both colonias metal concentrations from water samples were all well below the United States Environmental Protection Agency’s (US EPA’s) maximum contaminant levels. E. coli concentrations exceeded the US EPA’s drinking-water standard in Colosio but not Fatima. Total coliform bacteria were present in over 50 % of households in both colonias. Microbial contamination was significantly higher in the summer than in the winter in both colonias. Resulting analysis suggests that residents in colonias without piped water are at a greater risk of gastrointestinal illness from consumption of compromised drinking water. Our survey corroborated reports of gastrointestinal illness in the summer months but not in the winter. Chloride was found to be significantly greater in Colosio (median 29.2 mg/L) although still below the US EPA’s maximum contaminant levels of 250 mg/L. Ongoing binational collaboration can promote mechanisms to improve water quality in cities located in the US–Mexico border.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Quality, Exposure, and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12403-012-0067-x","usgsCitation":"Norman, L.M., Caldeira, F., Callegary, J., Gray, F., O’ Rourke, M.K., Meranza, V., and Van Rijn, S., 2012, Socio-environmental health analysis in Nogales, Sonora, Mexico: Water Quality, Exposure, and Health, v. 4, no. 2, p. 79-91, https://doi.org/10.1007/s12403-012-0067-x.","productDescription":"13 p.","startPage":"79","endPage":"91","ipdsId":"IP-033444","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12403-012-0067-x","text":"Publisher Index Page"},{"id":273864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273862,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12403-012-0067-x"}],"country":"United States;Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.58,31.14 ], [ -110.58,31.20 ], [ -110.54,31.20 ], [ -110.54,31.14 ], [ -110.58,31.14 ] ] ] } } ] }","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-12","publicationStatus":"PW","scienceBaseUri":"51c02ff6e4b0ee1529ed3d59","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldeira, Felipe","contributorId":28148,"corporation":false,"usgs":true,"family":"Caldeira","given":"Felipe","email":"","affiliations":[],"preferred":false,"id":477865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callegary, James","contributorId":62558,"corporation":false,"usgs":true,"family":"Callegary","given":"James","affiliations":[],"preferred":false,"id":477867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":477862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’ Rourke, Mary Kay","contributorId":25439,"corporation":false,"usgs":true,"family":"O’ Rourke","given":"Mary","email":"","middleInitial":"Kay","affiliations":[],"preferred":false,"id":477864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meranza, Veronica","contributorId":97802,"corporation":false,"usgs":true,"family":"Meranza","given":"Veronica","email":"","affiliations":[],"preferred":false,"id":477868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Rijn, Saskia","contributorId":48463,"corporation":false,"usgs":true,"family":"Van Rijn","given":"Saskia","email":"","affiliations":[],"preferred":false,"id":477866,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045226,"text":"70045226 - 2012 - Recycling of water, carbon, and sulfur during subduction of serpentinites: A stable isotope study of Cerro del Almirez, Spain","interactions":[],"lastModifiedDate":"2013-05-30T08:35:13","indexId":"70045226","displayToPublicDate":"2012-04-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Recycling of water, carbon, and sulfur during subduction of serpentinites: A stable isotope study of Cerro del Almirez, Spain","docAbstract":"We use the concentrations and isotope compositions of water, carbon, and sulfur in serpentinites and their dehydration products to trace the cycling of volatiles during subduction. Antigorite serpentinites from the Cerro del Almirez complex, Spain, contain 9–12 wt.% H2O and 910 ± 730 ppm sulfur, and have bulk δ18O values of 8.6 ± 0.4‰, δD = − 54 ± 5‰, and δ34S = 5.0‰, consistent with serpentinization at temperatures of ~ 200 °C by seawater hydrothermal fluids in a seafloor setting. The serpentinites were dehydrated to chlorite–harzburgite (olivine + orthopyroxene + chlorite) at 700 °C and 1.6–1.9 GPa during subduction metamorphism, resulting in loss of water, and sulfur. The chlorite–harzburgites contain 5.7 ± 1.9 wt.% H2O, and have bulk δ18O = 8.0 ± 0.9‰, and δD = − 77 ± 11‰. The rocks contain 650 ± 620 ppm sulfur having δ34S = 1.2‰. Dehydration of serpentinite resulted in loss of 5 wt.% H2O having δ18O = 8–10‰ and δD = − 27 to − 65‰, and loss of 260 ppm sulfur as sulfate, having δ34S = 14.5‰. The contents and δ13C of total carbon in the two rock types overlap, with a broad trend of decreasing carbon contents and δ13C from ~ 1300 to 200 ppm and − 9.6 to − 20.2‰. This reflects mixing between reduced carbon in the rocks (210 ppm, δ13C ≈ − 26‰) and seawater-derived carbonate (δ13C ≈ − 1‰). Our results indicate: 1) Serpentinized oceanic peridotites carry significant amounts of isotopically fractionated water, carbon and sulfur into subduction zones; 2) Subduction of serpentinites to high P and T results in loss of water, and sulfur, which can induce melting and contribute to 18O, D, and 34S enrichments and oxidation of the sub-arc mantle wedge; and 3) Isotopically fractionated water, carbon, and sulfur in serpentinite dehydration products are recycled deeper into the mantle where they can contribute to isotope heterogeneities and may be significant for volatile budgets of the deep Earth.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.01.029","usgsCitation":"Alt, J.C., Garrido, C.J., Shanks, W.C., Turchyn, A., Padron-Navarta, J.A., Lopez Sanchez-Vizcaino, V., Gomez Pugnaire, M.T., and Marchesi, C., 2012, Recycling of water, carbon, and sulfur during subduction of serpentinites: A stable isotope study of Cerro del Almirez, Spain: Earth and Planetary Science Letters, v. 327-328, p. 50-60, https://doi.org/10.1016/j.epsl.2012.01.029.","productDescription":"11 p.","startPage":"50","endPage":"60","ipdsId":"IP-032640","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":272999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.01.029"},{"id":273000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Cerro Del Almirez;Betic Cordillera In Southern Spain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -8,0.0011111111111111111 ], [ -8,0.0011111111111111111 ], [ 0,0.0011111111111111111 ], [ 0,0.0011111111111111111 ], [ -8,0.0011111111111111111 ] ] ] } } ] }","volume":"327-328","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a874e9e4b082d85d5ed8e3","contributors":{"authors":[{"text":"Alt, Jeffrey C.","contributorId":70213,"corporation":false,"usgs":true,"family":"Alt","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrido, Carlos J.","contributorId":48078,"corporation":false,"usgs":true,"family":"Garrido","given":"Carlos","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanks, Wayne C. III","contributorId":100527,"corporation":false,"usgs":true,"family":"Shanks","given":"Wayne","suffix":"III","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turchyn, Alexandra","contributorId":77828,"corporation":false,"usgs":true,"family":"Turchyn","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":477067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padron-Navarta, Jose Alberto","contributorId":107176,"corporation":false,"usgs":true,"family":"Padron-Navarta","given":"Jose","email":"","middleInitial":"Alberto","affiliations":[],"preferred":false,"id":477071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez Sanchez-Vizcaino, Vicente","contributorId":25848,"corporation":false,"usgs":true,"family":"Lopez Sanchez-Vizcaino","given":"Vicente","email":"","affiliations":[],"preferred":false,"id":477064,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomez Pugnaire, Maria Teresa","contributorId":85491,"corporation":false,"usgs":true,"family":"Gomez Pugnaire","given":"Maria","email":"","middleInitial":"Teresa","affiliations":[],"preferred":false,"id":477069,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marchesi, Claudio","contributorId":82606,"corporation":false,"usgs":true,"family":"Marchesi","given":"Claudio","email":"","affiliations":[],"preferred":false,"id":477068,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037920,"text":"sir20115178 - 2012 - Physical habitat, water quality, and riverine biological assemblages of selected reaches of the Sheyenne River, North Dakota, 2010","interactions":[],"lastModifiedDate":"2017-10-14T11:30:41","indexId":"sir20115178","displayToPublicDate":"2012-03-30T00:00:00","publicationYear":"2012","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":"2011-5178","title":"Physical habitat, water quality, and riverine biological assemblages of selected reaches of the Sheyenne River, North Dakota, 2010","docAbstract":"In 2010, data on physical habitat, water quality, and riverine biological assemblages were collected at selected reaches in four locations (Kleven, Sheyenne, Cooperstown, and West Fargo) on the Sheyenne River in east-central North Dakota. Three of the locations (Kleven, Sheyenne, and Cooperstown) are above Baldhill Dam and one location (West Fargo) is below Baldhill Dam on the Sheyenne River. The 2010 data provide information to establish a better understanding of the water-quality and ecological conditions of the Sheyenne River. Concerns were raised about the water-quality and ecological conditions of the Sheyenne River because of the interbasin transfer of water from nearby Devils Lake. The transfer of water from Devils Lake to the Sheyenne River occurs through the Devils Lake State Outlet near Peterson Coulee or, if lake elevations exceed 1,459 feet above National Geodetic Vertical Datum of 1929 (NGVD 29), through a natural outlet, Tolna Coulee. The field measurements of water-quality characteristics and results of chemical analyses generally are comparable to summary statistics calculated for Sheyenne River for 1980 through 2006. Overall, water-quality results show differences between the Kleven, Sheyenne, Cooperstown, and West Fargo reaches. Sulfate concentrations were less than the State of North Dakota criterion of 750 milligrams per liter for the upper Sheyenne River above Baldhill Dam and less than the criterion of 450 milligrams per liter for the lower Sheyenne River below Baldhill Dam. Arsenic concentrations at most reaches exceeded the U.S. Environmental Protection Agency drinking-water standard of 10 micrograms per liter. Nutrient concentrations (nitrogen, phosphorus) were higher in the upper Sheyenne River above Baldhill Dam than below Baldhill Dam where concentrations decreased by about half. In 2010, 35 families and 44 genera of benthic macroinvertebrates were collected and identified. On the basis of the index of biotic intergrity scores for benthic macroinvertebrate communities present in the Sheyenne River, all the reaches were determined to have condition classes of moderately disturbed to most disturbed. The benthic macroinvertebrate communities at the Cooperstown reaches were classed as moderately disturbed, whereas benthic macroinvertebrate communities at the Kleven, Sheyenne, West and Fargo reaches were most disturbed. During data collection, 37 genera and 165 species of periphyton (diatoms and soft-bodied algae) were collected and identified. In periphyton communities, similar taxa species were dominant in the Kleven, Sheyenne, and Cooperstown reaches, and different taxa species were dominant in the West Fargo reaches. For diatoms, the Kleven 3 reach had the lowest species richness value of 33.0, whereas the Cooperstown 8 reach had the highest species richness value of 57.0. For soft-bodied algae, the species richness values ranged from 8.0 at the Sheyenne 4 reach to 20.0 at the West Fargo 10 reach. During the fish collection, 32 species, representing 10 families, were collected in the Sheyenne River. All but two species are native to the Sheyenne River system. Common carp and white crappie are the two introduced species. Of the 32 species, 29 are tolerant to moderately tolerant to changes in water quality and habitat degradation, 16 species are tolerant to moderately tolerant to turbidity, and 16 species are tolerant to moderately tolerant to sensitivity to total dissolved solids, sulfate, and chloride. All fish species were categorized into four trophic groups. The largest group of 19 species was the insectivores (both benthic and general). The predator group consisted of seven species, and the omnivores consisted of six species. More fish were found in the lower Sheyenne River below Baldhill Dam than in the upper Sheyenne River above Baldhill Dam.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115178","collaboration":"Prepared in cooperation with North Dakota State Water Commission","usgsCitation":"Lundgren, R.F., Rowland, K.M., and Lindsay, M.J., 2012, Physical habitat, water quality, and riverine biological assemblages of selected reaches of the Sheyenne River, North Dakota, 2010: U.S. Geological Survey Scientific Investigations Report 2011-5178, v, 19 p.; Appendices, https://doi.org/10.3133/sir20115178.","productDescription":"v, 19 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":246887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5178.gif"},{"id":246886,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5178/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Dakota","city":"Flora;Bremen;Cooperstown;West Fargo","otherGeospatial":"Sheyenne River;Devils Lake;Kleven Reaches","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7aafe4b0c8380cd79037","contributors":{"authors":[{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, Kathleen M. 0000-0003-2526-6860 krowland@usgs.gov","orcid":"https://orcid.org/0000-0003-2526-6860","contributorId":1676,"corporation":false,"usgs":true,"family":"Rowland","given":"Kathleen","email":"krowland@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsay, Matthew J. mlindsay@usgs.gov","contributorId":4747,"corporation":false,"usgs":true,"family":"Lindsay","given":"Matthew","email":"mlindsay@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":463045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037928,"text":"sim3198 - 2012 - Methods for noninvasive bathymetric and velocity surveys for impoundment safety--A case study of Herrington Lake at Dix Dam near Burgin, Kentucky","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"sim3198","displayToPublicDate":"2012-03-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3198","title":"Methods for noninvasive bathymetric and velocity surveys for impoundment safety--A case study of Herrington Lake at Dix Dam near Burgin, Kentucky","docAbstract":"The U.S. Geological Survey (USGS) created bathymetric-contour and water-velocity vector maps for portions of Lake Herrington within 600 feet of the face of Dix Dam near Burgin, Kentucky. The mapping was in support of a study of noninvasive acoustic technology for assessing structural integrity of dams, both as a routine inspection tool or as an emergency tool during hydrologic events, such as high water or flooding. In April 2010, scientists from the USGS used a boat-mounted transducer and echo sounder to obtain bathymetric data to characterize lakebed relief and sediment distribution under a closed-intake condition. Also in April 2010, an acoustic Doppler current profiler was employed to measure water velocity and flow direction in the lake to locate velocities moving toward the dam face and, possibly, dam leakage. \r\nThe bathymetric survey showed the present condition of fill in the reservoir since the dam was completed, as well as provided an outline of the lake floor. The velocity survey indicated no discernible flow pattern or direction within the study area; only one transect had shown a difference from the others that was noticeable. The noninvasive acoustic bathymetric and velocity surveys used during the case study showed promise in locating potential dam or intake maintenance areas. Additional case studies throughout the Nation are needed to more clearly define whether the methods for noninvasive bathymetric and velocity surveys for dam safety will be successful in a variety of settings.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3198","collaboration":"Prepared in cooperation with the Kentucky Utilities Company","usgsCitation":"Ruby, A.T., 2012, Methods for noninvasive bathymetric and velocity surveys for impoundment safety--A case study of Herrington Lake at Dix Dam near Burgin, Kentucky: U.S. Geological Survey Scientific Investigations Map 3198, 1 Sheet; Sheet 1: 32 inches x 26 inches, https://doi.org/10.3133/sim3198.","productDescription":"1 Sheet; Sheet 1: 32 inches x 26 inches","temporalStart":"2010-04-06","temporalEnd":"2010-04-08","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":246889,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3198.gif"},{"id":246885,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3198/","linkFileType":{"id":5,"text":"html"}}],"projection":"Lambert Conformal Conic Projection NAD83","country":"United States","state":"Kentucky","city":"Burgin","otherGeospatial":"Herrington Lake;Dix Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.76666666666667,37.733333333333334 ], [ -84.76666666666667,37.833333333333336 ], [ -84.65,37.833333333333336 ], [ -84.65,37.733333333333334 ], [ -84.76666666666667,37.733333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55c5e4b0c8380cd6d29e","contributors":{"authors":[{"text":"Ruby, A. Thomas III","contributorId":48270,"corporation":false,"usgs":true,"family":"Ruby","given":"A.","suffix":"III","email":"","middleInitial":"Thomas","affiliations":[],"preferred":false,"id":463068,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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