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 (< 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 ± 18,800 [error bound]) were more abundant than fry ( = 24,615 ± 5,701). Water < 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 2–6 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 < 2 m depth interval than within the 2–6 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., < 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.
","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 2004–2007. 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—Forest Service; U.S. Department of Interior—Bureau of Land Management; U.S. Department of Interior—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":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"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 Anas acuta","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 Dicamptodon tenebrosus 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 Dicamptodon tenebrosus larvae to timber management in southwestern Oregon","docAbstract":"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 Dicamptodon tenebrosus as part of the Hinkle Creek paired watershed study. We used a mark-recapture analysis to estimate D. tenebrosus 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 D. tenebrosus 1.05 times, 2) each 100-ha increase in the upstream area drained decreased median density of D. tenebrosus 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 D. tenebrosus larvae.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.269","usgsCitation":"Leuthold, N., Adams, M.J., and Hayes, J.P., 2012, Short-term response of Dicamptodon tenebrosus 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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":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 (ft3/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 ft3/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 ft3/s, and the standard error of the Maize-only equation was 22.3 ft3/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 ft3/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 ft3/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":70146287,"text":"70146287 - 2012 - Advances in the simulation and automated measurement of well-sorted granular material: 1. Simulation","interactions":[],"lastModifiedDate":"2015-05-04T13:28:33","indexId":"70146287","displayToPublicDate":"2012-04-03T14:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Advances in the simulation and automated measurement of well-sorted granular material: 1. Simulation","docAbstract":"1. In this, the first of a pair of papers which address the simulation and automated measurement of well-sorted natural granular material, a method is presented for simulation of two-phase (solid, void) assemblages of discrete non-cohesive particles. The purpose is to have a flexible, yet computationally and theoretically simple, suite of tools with well constrained and well known statistical properties, in order to simulate realistic granular material as a discrete element model with realistic size and shape distributions, for a variety of purposes. The stochastic modeling framework is based on three-dimensional tessellations with variable degrees of order in particle-packing arrangement. Examples of sediments with a variety of particle size distributions and spatial variability in grain size are presented. The relationship between particle shape and porosity conforms to published data. The immediate application is testing new algorithms for automated measurements of particle properties (mean and standard deviation of particle sizes, and apparent porosity) from images of natural sediment, as detailed in the second of this pair of papers. The model could also prove useful for simulating specific depositional structures found in natural sediments, the result of physical alterations to packing and grain fabric, using discrete particle flow models. While the principal focus here is on naturally occurring sediment and sedimentary rock, the methods presented might also be useful for simulations of similar granular or cellular material encountered in engineering, industrial and life sciences.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1029/2011JF001974","usgsCitation":"Buscombe, D., and Rubin, D.M., 2012, Advances in the simulation and automated measurement of well-sorted granular material: 1. Simulation: Journal of Geophysical Research F: Earth Surface, v. 117, no. F2, 17 p., https://doi.org/10.1029/2011JF001974.","productDescription":"17 p.","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026993","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300044,"rank":1,"type":{"id":22,"text":"Related Work"},"url":"https://onlinelibrary.wiley.com/doi/10.1029/2011JF001975/abstract"},{"id":300045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"F2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-03","publicationStatus":"PW","scienceBaseUri":"55489833e4b0a658d7960d3a","contributors":{"authors":[{"text":"Buscombe, Daniel","contributorId":140252,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":544941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544940,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147543,"text":"70147543 - 2012 - Advances in the simulation and automated measurement of well-sorted granular material: 2. Direct measures of particle properties","interactions":[],"lastModifiedDate":"2015-05-04T13:30:54","indexId":"70147543","displayToPublicDate":"2012-04-03T14:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Advances in the simulation and automated measurement of well-sorted granular material: 2. Direct measures of particle properties","docAbstract":"1. In this, the second of a pair of papers on the structure of well-sorted natural granular material (sediment), new methods are described for automated measurements from images of sediment, of: 1) particle-size standard deviation (arithmetic sorting) with and without apparent void fraction; and 2) mean particle size in material with void fraction. A variety of simulations of granular material are used for testing purposes, in addition to images of natural sediment. Simulations are also used to establish that the effects on automated particle sizing of grains visible through the interstices of the grains at the very surface of a granular material continue to a depth of approximately 4 grain diameters and that this is independent of mean particle size. Ensemble root-mean squared error between observed and estimated arithmetic sorting coefficients for 262 images of natural silts, sands and gravels (drawn from 8 populations) is 31%, which reduces to 27% if adjusted for bias (slope correction between observed and estimated values). These methods allow non-intrusive and fully automated measurements of surfaces of unconsolidated granular material. With no tunable parameters or empirically derived coefficients, they should be broadly universal in appropriate applications. However, empirical corrections may need to be applied for the most accurate results. Finally, analytical formulas are derived for the one-step pore-particle transition probability matrix, estimated from the image's autocorrelogram, from which void fraction of a section of granular material can be estimated directly. This model gives excellent predictions of bulk void fraction yet imperfect predictions of pore-particle transitions.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1029/2011JF001975","usgsCitation":"Buscombe, D.D., and Rubin, D.M., 2012, Advances in the simulation and automated measurement of well-sorted granular material: 2. Direct measures of particle properties: Journal of Geophysical Research F: Earth Surface, v. 117, no. F2, 18 p., https://doi.org/10.1029/2011JF001975.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":474526,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jf001975","text":"Publisher Index Page"},{"id":300047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":300046,"rank":1,"type":{"id":22,"text":"Related Work"},"url":"https://onlinelibrary.wiley.com/doi/10.1029/2011JF001974/abstract"}],"volume":"117","issue":"F2","noUsgsAuthors":false,"publicationDate":"2012-04-03","publicationStatus":"PW","scienceBaseUri":"55489833e4b0a658d7960d3c","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":546073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":546074,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources 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 ρ 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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","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":"When I began my career as an assistant waterfowl biologist in 1956, wildlife disease was not a major concern for conservation agencies. Some states— such as California, Michigan, New York, Wyoming, and Colorado— 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.
","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":70037926,"text":"70037926 - 2012 - Threshold effects of flood duration on the vegetation and soils of the Upper Mississippi River floodplain, USA","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037926","displayToPublicDate":"2012-04-02T11:38:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Threshold effects of flood duration on the vegetation and soils of the Upper Mississippi River floodplain, USA","docAbstract":"Most large rivers have experienced major changes in hydrology and land use over the past century, with concomitant effects on sedimentation, nutrient cycling and biodiversity. To restore and/or enhance these ecosystems, managers need to know where their efforts are most likely to succeed under current hydrologic regimes as well as under potential future hydrologic regimes. We therefore examined changes in forest vegetation and soils across a hydrologic gradient, expressed as flood duration during the growing season, for 320 km of the Upper Mississippi River (UMR) floodplain.
\nSoil texture was highly variable but trended toward finer grained sediments and >5% organic matter as flood duration increased from 0% to ~40% of the growing season. Beyond 40%, soil texture was exclusively silt plus clay with >5% organic matter. The diversity of both the understory and overstory tree communities was also highly variable at sites that flooded for <40% of the growing season. However, understory diversity decreased as flood duration increased from 0% to ~25% of the growing season and overstory diversity declined as flood duration increased from 0% to ~40% of the growing season. Diversity estimates for both strata were uniformly low at sites that flooded for longer than ~40% of the growing season. Beyond this point the proportional abundance of Acer saccharinum in the overstory exceeded 70%.
\nOur results suggest that there is a threshold along the elevation gradient of this floodplain, corresponding with flood durations lasting ~40% of the growing season. At lower elevation sites, flooding exerts primary control over forest soils and vegetation, restricting the former to silt plus clay with higher organic matter and the latter to a few highly flood tolerant species. The existence of such thresholds have implications for management of floodplain soil nutrient dynamics and plant diversity under existing hydrologic regimes, more natural hydrologic regimes and more extreme hydrologic regimes that may result from climate change.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.foreco.2012.01.023","usgsCitation":"De Jager, N.R., Thomsen, M., and Yin, Y., 2012, Threshold effects of flood duration on the vegetation and soils of the Upper Mississippi River floodplain, USA: Forest Ecology and Management, v. 270, p. 135-146, https://doi.org/10.1016/j.foreco.2012.01.023.","productDescription":"12 p.","startPage":"135","endPage":"146","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":246903,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.foreco.2012.01.023","linkFileType":{"id":5,"text":"html"}},{"id":246906,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa;Minnesota;Wisconsin","otherGeospatial":"Upper Mississippi River Floodplain","volume":"270","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb354e4b08c986b325d15","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":104616,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":463064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomsen, Meredith","contributorId":82956,"corporation":false,"usgs":true,"family":"Thomsen","given":"Meredith","affiliations":[],"preferred":false,"id":463063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yin, Yao yyin@usgs.gov","contributorId":2170,"corporation":false,"usgs":true,"family":"Yin","given":"Yao","email":"yyin@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":463062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037935,"text":"70037935 - 2012 - Spatially explicit land-use and land-cover scenarios for the Great Plains of the United States","interactions":[],"lastModifiedDate":"2018-03-08T12:54:26","indexId":"70037935","displayToPublicDate":"2012-04-02T11:18:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit land-use and land-cover scenarios for the Great Plains of the United States","docAbstract":"The Great Plains of the United States has undergone extensive land-use and land-cover change in the past 150 years, with much of the once vast native grasslands and wetlands converted to agricultural crops, and much of the unbroken prairie now heavily grazed. Future land-use change in the region could have dramatic impacts on ecological resources and processes. A scenario-based modeling framework is needed to support the analysis of potential land-use change in an uncertain future, and to mitigate potentially negative future impacts on ecosystem processes. We developed a scenario-based modeling framework to analyze potential future land-use change in the Great Plains. A unique scenario construction process, using an integrated modeling framework, historical data, workshops, and expert knowledge, was used to develop quantitative demand for future land-use change for four IPCC scenarios at the ecoregion level. The FORE-SCE model ingested the scenario information and produced spatially explicit land-use maps for the region at relatively fine spatial and thematic resolutions. Spatial modeling of the four scenarios provided spatial patterns of land-use change consistent with underlying assumptions and processes associated with each scenario. Economically oriented scenarios were characterized by significant loss of natural land covers and expansion of agricultural and urban land uses. Environmentally oriented scenarios experienced modest declines in natural land covers to slight increases. Model results were assessed for quantity and allocation disagreement between each scenario pair. In conjunction with the U.S. Geological Survey's Biological Carbon Sequestration project, the scenario-based modeling framework used for the Great Plains is now being applied to the entire United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agriculture, Ecosystems and Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.agee.2012.02.019","usgsCitation":"Sohl, T.L., Sleeter, B.M., Sayler, K., Bouchard, M., Reker, R.R., Bennett, S.L., Sleeter, R., Kanengieter, R.L., and Zhu, Z., 2012, Spatially explicit land-use and land-cover scenarios for the Great Plains of the United States: Agriculture, Ecosystems and Environment, v. 153, p. 1-15, https://doi.org/10.1016/j.agee.2012.02.019.","productDescription":"15 p.","startPage":"1","endPage":"15","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474527,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1001&context=monarch_pubs","text":"External Repository"},{"id":246901,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.agee.2012.02.019","linkFileType":{"id":5,"text":"html"}},{"id":246908,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b94c5e4b08c986b31ac3c","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":463093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":463095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":463094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouchard, Michelle A.","contributorId":28845,"corporation":false,"usgs":true,"family":"Bouchard","given":"Michelle A.","affiliations":[],"preferred":false,"id":463099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":463098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Stacie L.","contributorId":42820,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":463100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sleeter, Rachel R.","contributorId":7946,"corporation":false,"usgs":true,"family":"Sleeter","given":"Rachel R.","affiliations":[],"preferred":false,"id":463097,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kanengieter, Ronald L. ron@usgs.gov","contributorId":4537,"corporation":false,"usgs":true,"family":"Kanengieter","given":"Ronald","email":"ron@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":463096,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":463101,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"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":"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.
\nIn 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.
","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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populations","docAbstract":"In some rodent species frequently exposed to plague outbreaks caused by Yersinia pestis, resistance to the disease has evolved as a population trait. As a first step in determining if plague resistance has developed in black-tailed prairie dogs (Cynomys ludovicianus), animals captured from colonies in a plague-free region (South Dakota) and two plague-endemic regions (Colorado and Texas) were challenged with Y. pestis at one of three doses (2.5, 250, or 2500 mouse LD50s). South Dakota prairie dogs were far more susceptible to plague than Colorado and Texas prairie dogs (p<0.001), with a mortality rate of nearly 100% over all doses. Colorado and Texas prairie dogs were quite similar in their response, with overall survival rates of 50% and 60%, respectively. Prairie dogs from these states were heterogenous in their response, with some animals dying at the lowest dose (37% and 20%, respectively) and some surviving even at the highest dose (29% and 40%, respectively). Microsatellite analysis revealed that all three groups were distinct genetically, but further studies are needed to establish a genetic basis for the observed differences in plague resistance.
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\"}}]}","volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa9cbe4b0c8380cd85f9b","contributors":{"authors":[{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":463046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Judy 0000-0001-7110-1632","orcid":"https://orcid.org/0000-0001-7110-1632","contributorId":57328,"corporation":false,"usgs":true,"family":"Williamson","given":"Judy","affiliations":[],"preferred":false,"id":463050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cobble, Kacy R.","contributorId":38438,"corporation":false,"usgs":true,"family":"Cobble","given":"Kacy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busch, Joseph D.","contributorId":44052,"corporation":false,"usgs":false,"family":"Busch","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":463049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":463051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, David M.","contributorId":8737,"corporation":false,"usgs":false,"family":"Wagner","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":463047,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of 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 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","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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463032,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037904,"text":"70037904 - 2012 - Modeling transport and deposition of the Mekong River sediment","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"70037904","displayToPublicDate":"2012-04-02T10:16:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling transport and deposition of the Mekong River sediment","docAbstract":"A Coupled Wave–Ocean–SedimentTransport Model was used to hindcast coastal circulation and fine sedimenttransport on the Mekong shelf in southeastern Asian in 2005. Comparisons with limited observations showed that the model simulation captured the regional patterns and temporal variability of surface wave, sea level, and suspended sediment concentration reasonably well. Significant seasonality in sedimenttransport was revealed. In summer, a large amount of fluvial sediments was delivered and deposited near the MekongRiver mouth. In the following winter, strong ocean mixing, and coastal current lead to resuspension and southwestward dispersal of a small fraction of previously deposited sediments. Model sensitivity experiments (with reduced physics) were performed to investigate the impact of tides, waves, and remotely forced ambient currents on the transport and dispersal of the fluvial sediment. Strong wave mixing and downwelling-favorable coastal current associated with the more energetic northeast monsoon in the winter season are the main factors controlling the southwestward along-shelf transport.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Continental Shelf Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.csr.2012.02.010","usgsCitation":"Xue, Z., He, R., Liu, J.P., and Warner, J., 2012, Modeling transport and deposition of the Mekong River sediment: Continental Shelf Research, v. 37, p. 66-78, https://doi.org/10.1016/j.csr.2012.02.010.","productDescription":"13 p.","startPage":"66","endPage":"78","numberOfPages":"12","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":246911,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":246896,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.csr.2012.02.010","linkFileType":{"id":5,"text":"html"}}],"country":"China","otherGeospatial":"Mekong River","volume":"37","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c57e4b0c8380cd6fbfa","contributors":{"authors":[{"text":"Xue, Zuo","contributorId":47216,"corporation":false,"usgs":true,"family":"Xue","given":"Zuo","affiliations":[],"preferred":false,"id":463004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Ruoying","contributorId":68029,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":463005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J. Paul","contributorId":44398,"corporation":false,"usgs":true,"family":"Liu","given":"J.","email":"","middleInitial":"Paul","affiliations":[],"preferred":false,"id":463003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463002,"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":"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.
\nSince 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.
\nTo 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 RV Survey Cat, a 26-foot (ft) shallow-draft Glacier Bay Coastal Runner, and the 50-ft RV G.K. Gilbert. 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.
\nThis 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.
\nThe 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.
\nSee 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 SWATHplus 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.
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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":"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 (1990–2000), and then for all combinations of three greenhouse gas emission scenarios and five general circulation models for future conditions (2008–2095). 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 2008–2095.
\nSimulation 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.
\nA 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.
","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":70037931,"text":"ofr20121024A - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources: Bighorn Basin, Wyoming and Montana: Chapter A in Geologic framework for the national assessment of carbon dioxide storage resources","interactions":[{"subject":{"id":70037931,"text":"ofr20121024A - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources: Bighorn Basin, Wyoming and Montana: Chapter A in Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024A","publicationYear":"2012","noYear":false,"chapter":"A","title":"Geologic framework for the national assessment of carbon dioxide storage resources: Bighorn Basin, Wyoming and Montana: Chapter A in Geologic framework for the national assessment of carbon dioxide storage resources"},"predicate":"IS_PART_OF","object":{"id":70093199,"text":"ofr20121024 - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024","publicationYear":"2012","noYear":false,"title":"Geologic framework for the national assessment of carbon dioxide storage resources"},"id":1}],"isPartOf":{"id":70093199,"text":"ofr20121024 - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024","publicationYear":"2012","noYear":false,"title":"Geologic framework for the national assessment of carbon dioxide storage resources"},"lastModifiedDate":"2023-06-16T16:10:07.723253","indexId":"ofr20121024A","displayToPublicDate":"2012-04-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1024","chapter":"A","title":"Geologic framework for the national assessment of carbon dioxide storage resources: Bighorn Basin, Wyoming and Montana: Chapter A in Geologic framework for the national assessment of carbon dioxide storage resources","docAbstract":"The 2007 Energy Independence and Security Act (Public Law 110–140) directs the U.S. Geological Survey (USGS) to conduct a national assessment of potential geologic storage resources for carbon dioxide (CO2). The methodology used for the national CO2 assessment follows that of previous USGS work. The methodology is non-economic and intended to be used at regional to subbasinal scales.
\nThis report identifies and contains geologic descriptions of twelve storage assessment units (SAUs) in six separate packages of sedimentary rocks within the Bighorn Basin of Wyoming and Montana and focuses on the particular characteristics, specified in the methodology, that influence the potential CO2 storage resource in those SAUs. Specific descriptions of the SAU boundaries as well as their sealing and reservoir units are included. Properties for each SAU such as depth to top, gross thickness, net porous thickness, porosity, permeability, groundwater quality, and structural reservoir traps are provided to illustrate geologic factors critical to the assessment. Although assessment results are not contained in this report, the geologic information included here will be employed, as specified in the methodology of earlier work, to calculate a statistical Monte Carlo-based distribution of potential storage space in the various SAUs. Figures in this report show SAU boundaries and cell maps of well penetrations through the sealing unit into the top of the storage formation. Wells sharing the same well borehole are treated as a single penetration. Cell maps show the number of penetrating wells within one square mile and are derived from interpretations of incompletely attributed well data, a digital compilation that is known not to include all drilling. The USGS does not expect to know the location of all wells and cannot guarantee the amount of drilling through specific formations in any given cell shown on cell maps.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geologic framework for the national assessment of carbon dioxide storage resources (Open-File Report 2012-1024)","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121024A","collaboration":"This report is Chapter A in Geologic framework for the national assessment of carbon dioxide storage resources. For more information, see Open-File Report 2012-1024.","usgsCitation":"Covault, J.A., Buursink, M.L., Craddock, W.H., Merrill, M., Blondes, M., Gosai, M.A., and Freeman, P., 2012, Geologic framework for the national assessment of carbon dioxide storage resources: Bighorn Basin, Wyoming and Montana: Chapter A in Geologic framework for the national assessment of carbon dioxide storage resources: U.S. Geological Survey Open-File Report 2012-1024, Report: vii, 23 p.; Data Downloads, https://doi.org/10.3133/ofr20121024A.","productDescription":"Report: vii, 23 p.; Data Downloads","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources 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The DIC of water is precipitated using ammoniacal strontium chloride (SrCl2) solution to form strontium carbonate (SrCO3). The δ13C is analyzed by reacting SrCO3 with 100-percent phosphoric acid (H3PO4) to liberate carbon quantitatively as carbon dioxide (CO2), 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 (m/z) 45 or 46 in the rear collector and m/z 44 and 46 or 44 and 45, respectively, in the front collector. The ion beams from these m/z values are as follows: m/z 44 = CO2 = 12C16O16O, m/z 45 = CO2 = 13C16O16O primarily, and m/z 46 = CO2 = 12C16O18O primarily. The data acquisition and control software calculates δ13C 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 δ13C 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":37464,"text":"WMA - Laboratory & Analytical Services 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}],"preferred":true,"id":463501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}