The Yankee Fork is a large tributary of the Salmon River located in central Idaho, USA, with an extensive history of placer and dredge-mining activities. Concentrations of selenium (Se) and mercury (Hg) in various aquatic trophic levels were measured in the Yankee Fork during 2001 and 2002. Various measurements of fish health were also performed. Sites included four on the mainstem of the Yankee Fork and two off-channel sites in partially reclaimed dredge pools used as rearing habitat for cultured salmonid eggs and fry. Hg concentrations in whole mountain whitefish and shorthead sculpin ranged from 0.28 to 0.56 μg/g dry weight (dw), concentrations that are generally less than those reported to have significant impacts on fish. Biofilm and invertebrates ranged from 0.05 to 0.43 μg Hg/g dw. Se concentrations measured in biota samples from the Yankee Fork were greater than many representative samples collected in the Snake and Columbia watersheds and often exceeded literature-based toxic thresholds. Biofilm and invertebrates ranged from 0.58 to 4.66 μg Se/g dw. Whole fish ranged from 3.92 to 7.10 μg Se/g dw, and gonads ranged from 6.91 to 31.84 μg Se/g dw. Whole-body Se concentrations exceeded reported toxicological thresholds at three of four sites and concentrations in liver samples were mostly greater than concentrations shown to have negative impacts on fish health. Histological examinations performed during this study noted liver abnormalities, especially in shorthead sculpin, a bottom-dwelling species.
","largerWorkTitle":"Archives of Environmental Contamination and Toxicology","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00244-012-9816-x","usgsCitation":"Rhea, D.T., Farag, A.M., Harper, D., McConnell, E., and Brumbaugh, W.G., 2013, Mercury and selenium concentrations in biofilm, macroinvertebrates, and fish collected in the Yankee Fork of the Salmon River, Idaho, USA, and their potential effects on fish health: Archives of Environmental Contamination and Toxicology, v. 64, no. 1, p. 130-139, https://doi.org/10.1007/s00244-012-9816-x.","productDescription":"10 p.","startPage":"130","endPage":"139","numberOfPages":"10","additionalOnlineFiles":"N","ipdsId":"IP-038095","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":269157,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-012-9816-x"},{"id":269165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Yankee Fork River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.59822,44.45330 ], [ -114.59822,44.51716 ], [ -114.51934,44.51716 ], [ -114.51934,44.45330 ], [ -114.59822,44.45330 ] ] ] } } ] }","volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-19","publicationStatus":"PW","scienceBaseUri":"51404e80e4b089809dbf4486","contributors":{"authors":[{"text":"Rhea, Darren T.","contributorId":74650,"corporation":false,"usgs":true,"family":"Rhea","given":"Darren","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":475086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":475085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harper, David D.","contributorId":102946,"corporation":false,"usgs":true,"family":"Harper","given":"David D.","affiliations":[],"preferred":false,"id":475088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McConnell, Elizabeth","contributorId":90611,"corporation":false,"usgs":true,"family":"McConnell","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":475087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":475084,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046264,"text":"70046264 - 2013 - Trends in landscape and vegetation change and implications for the Santa Cruz Watershed","interactions":[],"lastModifiedDate":"2017-04-25T09:54:37","indexId":"70046264","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Trends in landscape and vegetation change and implications for the Santa Cruz Watershed","docAbstract":"Monitoring and characterizing the interactive effects of land use and climate on land surface processes is a primary focus of land change science, and of particular concern in arid Wells Distribution in Shallow Groundwater Areas Pumping Trends Increase Streamflow Extent Declines 27 environments where both landscapes and livelihoods can be impacted by short-term climate variability. Using a multi-observational approach to land-change analysis that included landownership data as a proxy for land-use practices, multitemporal land-cover maps, and repeat photography dating to the late 19th century, we examine changing spatial and temporal distributions of two vegetation types with high conservation value in the southwestern United States: grasslands and riparian vegetation. Our study area is the bi-national Santa Cruz Watershed, a topographically complex watershed that straddles the Sonoran Desert and the Madrean Archipelago Ecoregions. In this presentation we focus on historical changes in vegetation and land use in grasslands and riparian areas of the Madrean Ecoregion (San Raphael Valley, Cienega Creek, Sonoita), and compare changes in these areas to changes in the warmer and drier Sonoran Ecoregion. Analysis of historical photography confirms major 20th century vegetation shifts documented in other research: woody plant encroachment, desertification of grasslands, and changing riparian and xeroriparian vegetation occurred in both ecoregions following human settlement. However, vegetation changes over the past decade appear to be more subtle and some of the past trajectories appear to be reversing; most notable are recent mesquite declines in xeroriparian and upland areas, and changes from shrubland to grassland area in the Madrean ecoregion. Land cover changes were temporally variable, reflecting broad climate changes. The most dynamic cover changes occurred during the period from 1989 to 1999, a period with two intense droughts. The degree of vegetation change driven by climate was related to topographic setting: vegetation declines were greater per unit area in the lower elevation Sonoran ecoregion where temperatures are higher and precipitation lower than in the Madrean. Fine-scale changes within these broad climate patterns were likely the result of land use practices: declines were highest on state lands (grazing) and increases highest on private ranches and some federal lands (active mesquite removal and watershed restoration).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Science on the Sonoita Plain Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Science on the Sonoita Plain Symposium 2013","conferenceDate":"June 8, 2013","conferenceLocation":"Elgin, AZ","language":"English","usgsCitation":"Villarreal, M.L., Norman, L.M., Webb, R.H., and Turner, R., 2013, Trends in landscape and vegetation change and implications for the Santa Cruz Watershed, 3 p.","productDescription":"3 p.","startPage":"26","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046117","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":340234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006067e4b0e85db3a5de0d","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":141216,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":692722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":692723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70045513,"text":"70045513 - 2013 - Modern salt-marsh and tidal-flat foraminifera from Sitkinak and Simeonof Islands, southwestern Alaska","interactions":[],"lastModifiedDate":"2020-09-21T16:59:00.233339","indexId":"70045513","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Modern salt-marsh and tidal-flat foraminifera from Sitkinak and Simeonof Islands, southwestern Alaska","docAbstract":"We describe the modern distribution of salt-marsh and tidal-flat foraminifera from Sitkinak Island (Trinity Islands) and Simeonof Island (Shumagin Islands), Alaska, to begin development of a dataset for later use in reconstructing relative sea-level changes caused by great earthquakes along the Alaska-Aleutian subduction zone. Dead foraminifera were enumerated from a total of 58 surface-sediment samples collected along three intertidal transects around a coastal lagoon on Sitkinak Island and two intertidal transects on Simeonof Island. Two distinctive assemblages of salt-marsh foraminifera were recognized on Sitkinak Island. Miliammina fusca dominated low-marsh settings and Balticammina pseudomacrescens dominated the high marsh. These two species make up >98% of individuals. On Simeonof Island, 93% of individuals in high-marsh settings above mean high water were B. pseudomacrescens. The tidal flat on Simeonof Island was dominated by Cibicides lobatulus (60% of individuals), but the lower limit of this species is subtidal and was not sampled. These results indicate that uplift or subsidence caused by repeated earthquakes along the Alaska-Aleutian subduction zone could be reconstructed in coastal sediments using alternating assemblages of near monospecific B. pseudomacrescens and low-marsh or tidal-flat foraminifera.
A database containing more than 17,700 discharge values and ancillary hydraulic properties was assembled from summaries of discharge measurement records for 424 U.S. Geological Survey streamflow-gauging stations (stream gauges) in Texas. Each discharge exceeds the 90th-percentile daily mean streamflow as determined by period-of-record, stream-gauge-specific, flow-duration curves. Each discharge therefore is assumed to represent discharge measurement made during direct-runoff conditions. The hydraulic properties of each discharge measurement included concomitant cross-sectional flow area, water-surface top width, and reported mean velocity. Systematic and statewide investigation of these data in pursuit of regional models for the estimation of discharge and mean velocity has not been previously attempted. Generalized additive regression modeling is used to develop readily implemented procedures by end-users for estimation of discharge and mean velocity from select predictor variables at ungauged stream locations. The discharge model uses predictor variables of cross-sectional flow area, top width, stream location, mean annual precipitation, and a generalized terrain and climate index (OmegaEM) derived for a previous flood-frequency regionalization study. The mean velocity model uses predictor variables of discharge, top width, stream location, mean annual precipitation, and OmegaEM. The discharge model has an adjusted R-squared value of about 0.95 and a residual standard error (RSE) of about 0.22 base-10 logarithm (cubic meters per second); the mean velocity model has an adjusted R-squared value of about 0.67 and an RSE of about 0.063 fifth root (meters per second). Example applications and computations using both regression models are provided. - See more at: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29HE.1943-5584.0000635#sthash.jhGyPxgZ.dpuf
","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HE.1943-5584.0000635","usgsCitation":"Asquith, W.H., Herrmann, G.R., and Cleveland, T., 2013, Generalized additive regression models of discharge and mean velocity associated with direct-runoff conditions in Texas: Utility of the U.S. Geological Survey discharge measurement database: Journal of Hydrologic Engineering, v. 18, no. 10, p. 1331-1348, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000635.","productDescription":"18 p.","startPage":"1331","endPage":"1348","ipdsId":"IP-039500","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":340267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006066e4b0e85db3a5de0b","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, George R.","contributorId":191361,"corporation":false,"usgs":false,"family":"Herrmann","given":"George","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":692816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70099272,"text":"70099272 - 2013 - Chesapeake Bay waterbirds, sea-level rise, and island restoration","interactions":[],"lastModifiedDate":"2015-04-03T09:26:42","indexId":"70099272","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chesapeake Bay waterbirds, sea-level rise, and island restoration","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine Conservation: Science, Policy, and Management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Erwin, R.M., 2013, Chesapeake Bay waterbirds, sea-level rise, and island restoration, chap. of Marine Conservation: Science, Policy, and Management, p. 161-162.","productDescription":"2 p.","startPage":"161","endPage":"162","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018325","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551fb9b2e4b027f0aee3baff","contributors":{"authors":[{"text":"Erwin, R. Michael","contributorId":87854,"corporation":false,"usgs":true,"family":"Erwin","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":491926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046608,"text":"70046608 - 2013 - Watering the forest for the trees: An emerging priority for managing water in forest landscapes","interactions":[],"lastModifiedDate":"2018-01-16T11:25:34","indexId":"70046608","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Watering the forest for the trees: An emerging priority for managing water in forest landscapes","docAbstract":"Widespread threats to forests resulting from drought stress are prompting a re-evaluation of priorities for water management on forest lands. In contrast to the widely held view that forest management should emphasize providing water for downstream uses, we argue that maintaining forest health in the context of a changing climate may require focusing on the forests themselves and on strategies to reduce their vulnerability to increasing water stress. Management strategies would need to be tailored to specific landscapes but could include thinning, planting and selecting for drought-tolerant species, irrigating, and making more water available to plants for transpiration. Hydrologic modeling reveals that specific management actions could reduce tree mortality due to drought stress. Adopting water conservation for vegetation as a priority for managing water on forested lands would represent a fundamental change in perspective and potentially involve trade-offs with other downstream uses of water.","language":"English","publisher":"The Ecological Society of America","doi":"10.1890/120209","usgsCitation":"Grant, G., Tague, C.L., and Allen, C.D., 2013, Watering the forest for the trees: An emerging priority for managing water in forest landscapes: Frontiers in Ecology and the Environment, v. 11, no. 6, p. 314-321, https://doi.org/10.1890/120209.","productDescription":"8 p.","startPage":"314","endPage":"321","ipdsId":"IP-043682","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":273966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-08-08","publicationStatus":"PW","scienceBaseUri":"51c18170e4b0dd0e00d92241","contributors":{"authors":[{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":479864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tague, Christina L.","contributorId":54493,"corporation":false,"usgs":true,"family":"Tague","given":"Christina","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":479863,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70058704,"text":"70058704 - 2013 - Appendix D: Use of wave scenarios to assess potential submerged oil mat (SOM) formation along the coast of Florida and Alabama","interactions":[],"lastModifiedDate":"2016-07-12T10:06:37","indexId":"70058704","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5133,"text":"Operational Science Advisory Team Report","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"III","title":"Appendix D: Use of wave scenarios to assess potential submerged oil mat (SOM) formation along the coast of Florida and Alabama","docAbstract":"During the Deepwater Horizon oil spill, oil in the surf zone mixed with sediment in the surf zone to form heavier-than-water sediment oil agglomerates of various size, ranging from small (cm-scale) pieces (surface residual balls, SRBs) to large mats (100-m scale, surface residue mats, SR mats). Once SR mats formed in the nearshore or in the intertidal zone, they may have become buried by sand moving onshore or alongshore. To assist in locating possible sites of buried oil, wave scenarios previously developed by the U.S. Geological Survey (USGS) were used to determine the depths at which surface oil had the potential to mix with suspended sediment. For sediment to mix with floating oil and form an agglomerate of sufficient density to sink to the seafloor, either the water must be very shallow (e.g., within the swash zone) or sediment must be suspended to the water surface in sufficient concentrations to create a denser-than-sea water agglomerate. The focus of this study is to analyze suspended sediment mixing with surface oil in depths beyond the swash zone, in order to define the seaward limit of mat formation. A theoretical investigation of sediment dynamics in the nearshore zone revealed that non-breaking waves do not suspend enough sediment to the surface to form sinking sand/oil agglomerates. For this study, it was assumed that the cross-shore distribution of potential agglomerate formation is associated with the primary breaker line, and the presence of plunging breakers, over the time frame of oiling. The potential locations of submerged oil mats (SOMs) are sites where (1) possible agglomerate formation occurred, where (2) sediment accreted post-oiling and buried the SOM, and where (3) the bathymetry has not subsequently eroded to re-expose any mat that may have formed at that site. To facilitate identification of these locations, the range of water level variation over the time frame of oiling was also prescribed, which combined with the wave-breaking depth analysis and pre-oiling bathymetry would identify the potential geographic locations of SOMs.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Operational Science Advisory Team Report III: Investigation of recurring residual oil in discrete shoreline areas in the eastern area of responsibility","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Gulf Coast Ecosystem Restoration Council","usgsCitation":"Dalyander, P., Long, J.W., Plant, N.G., and Thompson, D.M., 2013, Appendix D: Use of wave scenarios to assess potential submerged oil mat (SOM) formation along the coast of Florida and Alabama: Operational Science Advisory Team Report III, 46 p.","productDescription":"46 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051304","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325081,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.restorethegulf.gov/release/2015/07/01/operational-science-advisory-team-report-iii"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dcfb8e4b0589fa1cbd5d8","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":518415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":518412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":518414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":518413,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189931,"text":"70189931 - 2013 - Glacier variability in the conterminous United States during the twentieth century","interactions":[],"lastModifiedDate":"2017-08-23T08:39:12","indexId":"70189931","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"Glacier variability in the conterminous United States during the twentieth century","docAbstract":"Glaciers of the conterminous United States have been receding for the past century. Since 1900 the recession has varied from a 24 % loss in area (Mt. Rainier, Washington) to a 66 % loss in the Lewis Range of Montana. The rates of retreat are generally similar with a rapid loss in the early decades of the 20th century, slowing in the 1950s–1970s, and a resumption of rapid retreat starting in the 1990s. Decadal estimates of changes in glacier area for a subset of 31 glaciers from 1900 to 2000 are used to test a snow water equivalent model that is subsequently employed to examine the effects of temperature and precipitation variability on annual glacier area changes for these glaciers. Model results indicate that both winter precipitation and winter temperature have been important climatic factors affecting the variability of glacier variability during the 20th Century. Most of the glaciers analyzed appear to be more sensitive to temperature variability than to precipitation variability. However, precipitation variability is important, especially for high elevation glaciers. Additionally, glaciers with areas greater than 1 km2 are highly sensitive to variability in temperature.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0502-9","usgsCitation":"McCabe, G., and Fountain, A.G., 2013, Glacier variability in the conterminous United States during the twentieth century: Climate Change, v. 116, no. 3-4, p. 565-577, https://doi.org/10.1007/s10584-012-0502-9.","productDescription":"13 p.","startPage":"565","endPage":"577","ipdsId":"IP-031818","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":345040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"116","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-13","publicationStatus":"PW","scienceBaseUri":"599e944ce4b04935557fe9ed","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":706799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fountain, Andrew G.","contributorId":10410,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":706800,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70187338,"text":"70187338 - 2013 - Coasts: Complex changes affecting the Northwest's diverse shorelines","interactions":[],"lastModifiedDate":"2017-05-01T15:21:32","indexId":"70187338","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coasts: Complex changes affecting the Northwest's diverse shorelines","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate change in the Northwest: Implications for our landscapes, waters, and communities","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","doi":"10.5822/978-1-61091-512-0","usgsCitation":"Reeder, W.S., Ruggiero, Shafer, S.L., Snover, A.K., Houston, L.L., Glick, P., Newton, J., and Capalbo, S.M., 2013, Coasts: Complex changes affecting the Northwest's diverse shorelines, chap. of Climate change in the Northwest: Implications for our landscapes, waters, and communities, p. 67-109, https://doi.org/10.5822/978-1-61091-512-0.","productDescription":"43 p.","startPage":"67","endPage":"109","ipdsId":"IP-041974","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":474148,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5822/978-1-61091-512-0","text":"External Repository"},{"id":340700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084935e4b0fc4e448ffd9a","contributors":{"authors":[{"text":"Reeder, W. Spencer","contributorId":83028,"corporation":false,"usgs":true,"family":"Reeder","given":"W.","email":"","middleInitial":"Spencer","affiliations":[],"preferred":false,"id":693815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":121401,"corporation":false,"usgs":true,"family":"Ruggiero","suffix":"Peter","affiliations":[],"preferred":false,"id":693816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafer, Sarah L. 0000-0003-3739-2637 sshafer@usgs.gov","orcid":"https://orcid.org/0000-0003-3739-2637","contributorId":1684,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah","email":"sshafer@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snover, Amy K.","contributorId":11511,"corporation":false,"usgs":true,"family":"Snover","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houston, Laurie L.","contributorId":11935,"corporation":false,"usgs":true,"family":"Houston","given":"Laurie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":693820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newton, Jan","contributorId":177863,"corporation":false,"usgs":false,"family":"Newton","given":"Jan","email":"","affiliations":[],"preferred":false,"id":693821,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capalbo, Susan M.","contributorId":48864,"corporation":false,"usgs":true,"family":"Capalbo","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693822,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189675,"text":"70189675 - 2013 - Persistence and potential effects of complex organic contaminant mixtures in wastewater-impacted streams","interactions":[],"lastModifiedDate":"2021-05-28T14:54:00.795953","indexId":"70189675","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Persistence and potential effects of complex organic contaminant mixtures in wastewater-impacted streams","docAbstract":"Natural and synthetic organic contaminants in municipal wastewater treatment plant (WWTP) effluents can cause ecosystem impacts, raising concerns about their persistence in receiving streams. In this study, Lagrangian sampling, in which the same approximate parcel of water is tracked as it moves downstream, was conducted at Boulder Creek, Colorado and Fourmile Creek, Iowa to determine in-stream transport and attenuation of organic contaminants discharged from two secondary WWTPs. Similar stream reaches were evaluated, and samples were collected at multiple sites during summer and spring hydrologic conditions. Travel times to the most downstream (7.4 km) site in Boulder Creek were 6.2 h during the summer and 9.3 h during the spring, and to the Fourmile Creek 8.4 km downstream site times were 18 and 8.8 h, respectively. Discharge was measured at each site, and integrated composite samples were collected and analyzed for >200 organic contaminants including metal complexing agents, nonionic surfactant degradates, personal care products, pharmaceuticals, steroidal hormones, and pesticides. The highest concentration (>100 μg L–1) compounds detected in both WWTP effluents were ethylenediaminetetraacetic acid and 4-nonylphenolethoxycarboxylate oligomers, both of which persisted for at least 7 km downstream from the WWTPs. Concentrations of pharmaceuticals were lower (<1 μg L–1), and several compounds, including carbamazepine and sulfamethoxazole, were detected throughout the study reaches. After accounting for in-stream dilution, a complex mixture of contaminants showed little attenuation and was persistent in the receiving streams at concentrations with potential ecosystem implications.
","language":"English","publisher":"ACS","doi":"10.1021/es303720g","usgsCitation":"Barber, L.B., Keefe, S.H., Brown, G.K., Furlong, E.T., Gray, J.L., Kolpin, D.W., Meyer, M.T., Sandstrom, M.W., and Zaugg, S.D., 2013, Persistence and potential effects of complex organic contaminant mixtures in wastewater-impacted streams: Environmental Science & Technology, v. 47, no. 5, p. 2177-2188, https://doi.org/10.1021/es303720g.","productDescription":"12 p.","startPage":"2177","endPage":"2188","ipdsId":"IP-042619","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Iowa","otherGeospatial":"Boulder Creek, Fourmile Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.625,\n 41.75\n ],\n [\n -93.5,\n 41.75\n ],\n [\n -93.5,\n 41.625\n ],\n [\n -93.625,\n 41.625\n ],\n [\n -93.625,\n 41.75\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.191667,\n 40.09166\n ],\n [\n -105.075,\n 40.09166\n ],\n [\n -105.075,\n 40.01667\n ],\n [\n -105.191667,\n 40.01667\n ],\n [\n -105.191667,\n 40.09166\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-02-11","publicationStatus":"PW","scienceBaseUri":"59706fbde4b0d1f9f065a918","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - 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Water ice is the most common frozen volatile observed and is also unambiguously detected or inferred in every planet and/or their moon(s) except Venus. Carbon dioxide is also extensively found in all systems beyond the Earth except Pluto although it sometimes appears to be trapped rather than as an ice on some objects. The largest deposits of carbon dioxide ice is on Mars. Sulfur dioxide ice is found in the Jupiter system. Nitrogen and methane ices are common beyond the Uranian system. Saturn’s moon Titan probably has the most complex active chemistry involving ices, with benzene (C6H6) and many tentative or inferred compounds including ices of Cyanoacetylene (HC3N), Toluene (C7H8), Cyanogen (C2N2), Acetonitrile (CH3CN), H2O, CO2, and NH3. Confirming compounds on Titan is hampered by its thick smoggy atmosphere. Ammonia was predicted on many icy moons but is notably absent among the definitively detected ices with the possible exception of Enceladus. Comets, storehouses of many compounds that could exist as ices in their nuclei, have only had small amounts of water ice definitively detected on their surfaces. Only one asteroid has had a direct detection of surface water ice, although its presence can be inferred in others. This chapter reviews some of the properties of ices that lead to their detection, and surveys the ices that have been observed on solid surfaces throughout the Solar System.
","language":"English","publisher":"Springer","doi":"10.1007/978-1-4614-3076-6_1","usgsCitation":"Clark, R.N., Grundy, W., Carlson, R.R., and Noll, K., 2013, Observed ices in the Solar System, p. 3-46, https://doi.org/10.1007/978-1-4614-3076-6_1.","productDescription":"44 p.","startPage":"3","endPage":"46","ipdsId":"IP-021107","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-28","publicationStatus":"PW","scienceBaseUri":"595611c4e4b0d1f9f05067d0","contributors":{"editors":[{"text":"Gudipati, Murthy","contributorId":156337,"corporation":false,"usgs":false,"family":"Gudipati","given":"Murthy","email":"","affiliations":[{"id":18876,"text":"California Institute of Technology, Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":702743,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Castillo-Rogez, Julie C.","contributorId":172691,"corporation":false,"usgs":false,"family":"Castillo-Rogez","given":"Julie C.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":702744,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grundy, Will","contributorId":156333,"corporation":false,"usgs":false,"family":"Grundy","given":"Will","email":"","affiliations":[],"preferred":false,"id":702488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson, Robert R.","contributorId":71944,"corporation":false,"usgs":true,"family":"Carlson","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":702487,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Noll, Keith","contributorId":193877,"corporation":false,"usgs":false,"family":"Noll","given":"Keith","email":"","affiliations":[],"preferred":false,"id":702486,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70189191,"text":"70189191 - 2013 - Transport and fate of microbial pathogens in agricultural settings","interactions":[],"lastModifiedDate":"2017-07-06T13:32:37","indexId":"70189191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Transport and fate of microbial pathogens in agricultural settings","docAbstract":"An understanding of the transport and survival of microbial pathogens (pathogens hereafter) in agricultural settings is needed to assess the risk of pathogen contamination to water and food resources, and to develop control strategies and treatment options. However, many knowledge gaps still remain in predicting the fate and transport of pathogens in runoff water, and then through the shallow vadose zone and groundwater. A number of transport pathways, processes, factors, and mathematical models often are needed to describe pathogen fate in agricultural settings. The level of complexity is dramatically enhanced by soil heterogeneity, as well as by temporal variability in temperature, water inputs, and pathogen sources. There is substantial variability in pathogen migration pathways, leading to changes in the dominant processes that control pathogen transport over different spatial and temporal scales. For example, intense rainfall events can generate runoff and preferential flow that can rapidly transport pathogens. Pathogens that survive for extended periods of time have a greatly enhanced probability of remaining viable when subjected to such rapid-transport events. Conversely, in dry seasons, pathogen transport depends more strongly on retention at diverse environmental surfaces controlled by a multitude of coupled physical, chemical, and microbiological factors. These interactions are incompletely characterized, leading to a lack of consensus on the proper mathematical framework to model pathogen transport even at the column scale. In addition, little is known about how to quantify transport and survival parameters at the scale of agricultural fields or watersheds. This review summarizes current conceptual and quantitative models for pathogen transport and fate in agricultural settings over a wide range of spatial and temporal scales. The authors also discuss the benefits that can be realized by improved modeling, and potential treatments to mitigate the risk of waterborne disease transmission.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10643389.2012.710449","usgsCitation":"Bradford, S.A., Morales, V.L., Zhang, W., Harvey, R.W., Packman, A.I., Mohanram, A., and Welty, C., 2013, Transport and fate of microbial pathogens in agricultural settings: Critical Reviews in Environmental Science and Technology, v. 43, no. 8, p. 775-893, https://doi.org/10.1080/10643389.2012.710449.","productDescription":"119 p.","startPage":"775","endPage":"893","ipdsId":"IP-035837","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c44e4b0d1f9f057e370","contributors":{"authors":[{"text":"Bradford, Scott A.","contributorId":194257,"corporation":false,"usgs":false,"family":"Bradford","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morales, Veronica L.","contributorId":168667,"corporation":false,"usgs":false,"family":"Morales","given":"Veronica","email":"","middleInitial":"L.","affiliations":[{"id":25347,"text":"Abertay University, Dundee, UK","active":true,"usgs":false}],"preferred":false,"id":703736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Wei","contributorId":168668,"corporation":false,"usgs":false,"family":"Zhang","given":"Wei","email":"","affiliations":[{"id":25348,"text":"Michigan State University, East Lansing","active":true,"usgs":false}],"preferred":false,"id":703737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":124517,"corporation":false,"usgs":false,"family":"Packman","given":"Aaron","email":"","middleInitial":"I.","affiliations":[{"id":5041,"text":"Department of Civil and Environmental Engineering, Northwestern University, Evanston, Illinois, USA","active":true,"usgs":false}],"preferred":false,"id":703738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mohanram, Arvind","contributorId":194201,"corporation":false,"usgs":false,"family":"Mohanram","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":703739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Welty, Claire","contributorId":39416,"corporation":false,"usgs":true,"family":"Welty","given":"Claire","email":"","affiliations":[],"preferred":false,"id":703740,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188071,"text":"70188071 - 2013 - Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data","interactions":[],"lastModifiedDate":"2017-05-30T12:53:54","indexId":"70188071","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data","docAbstract":"This study provides a baseline quality check on provisional Landsat Surface Reflectance (SR) products as generated by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software. Characterization of the Landsat SR products leveraged comparisons between aerosol optical thickness derived from LEDAPS and measured by Aerosol Robotic Network (AERONET), as well as reflectance correlations with field spectrometer and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Results consistently indicated similarity between LEDAPS and alternative data products in longer wavelengths over vegetated areas with no adjacent water, while less reliable performance was observed in shorter wavelengths and sparsely vegetated areas. This study demonstrates the strengths and weaknesses of the atmospheric correction methodology used in LEDAPS, confirming its successful implementation to generate Landsat SR products.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.04.007","usgsCitation":"Maiersperger, T., Scaramuzza, P., Leigh, L., Shrestha, S., Gallo, K., Jenkerson, C.B., and Dwyer, J.L., 2013, Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data: Remote Sensing of Environment, v. 136, p. 1-13, https://doi.org/10.1016/j.rse.2013.04.007.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-039343","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"136","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c9e4b092b266f10dcd","contributors":{"authors":[{"text":"Maiersperger, Tom 0000-0003-3132-6997 tmaiersperger@usgs.gov","orcid":"https://orcid.org/0000-0003-3132-6997","contributorId":3693,"corporation":false,"usgs":true,"family":"Maiersperger","given":"Tom","email":"tmaiersperger@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leigh, Larry","contributorId":192383,"corporation":false,"usgs":false,"family":"Leigh","given":"Larry","email":"","affiliations":[],"preferred":false,"id":696394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, S.","contributorId":182437,"corporation":false,"usgs":false,"family":"Shrestha","given":"S.","email":"","affiliations":[],"preferred":false,"id":696395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallo, Kevin 0000-0001-9162-5011 kgallo@usgs.gov","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":192334,"corporation":false,"usgs":true,"family":"Gallo","given":"Kevin","email":"kgallo@usgs.gov","affiliations":[],"preferred":true,"id":696391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@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":696389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70189198,"text":"70189198 - 2013 - Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","interactions":[],"lastModifiedDate":"2017-07-05T17:08:05","indexId":"70189198","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3721,"text":"Water Resources Management","onlineIssn":"1573-1650","printIssn":"0920-4741","active":true,"publicationSubtype":{"id":10}},"title":"Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","docAbstract":"Manning’s roughness coefficient (n) has been widely used in the estimation of flood discharges or depths of flow in natural channels. Therefore, the selection of appropriate Manning’s nvalues is of paramount importance for hydraulic engineers and hydrologists and requires considerable experience, although extensive guidelines are available. Generally, the largest source of error in post-flood estimates (termed indirect measurements) is due to estimates of Manning’s n values, particularly when there has been minimal field verification of flow resistance. This emphasizes the need to improve methods for estimating n values. The objective of this study was to develop a soft computing model in the estimation of the Manning’s n values using 75 discharge measurements on 21 high gradient streams in Colorado, USA. The data are from high gradient (S > 0.002 m/m), cobble- and boulder-bed streams for within bank flows. This study presents Gene-Expression Programming (GEP), an extension of Genetic Programming (GP), as an improved approach to estimate Manning’s roughness coefficient for high gradient streams. This study uses field data and assessed the potential of gene-expression programming (GEP) to estimate Manning’s n values. GEP is a search technique that automatically simplifies genetic programs during an evolutionary processes (or evolves) to obtain the most robust computer program (e.g., simplify mathematical expressions, decision trees, polynomial constructs, and logical expressions). Field measurements collected by Jarrett (J Hydraulic Eng ASCE 110: 1519–1539, 1984) were used to train the GEP network and evolve programs. The developed network and evolved programs were validated by using observations that were not involved in training. GEP and ANN-RBF (artificial neural network-radial basis function) models were found to be substantially more effective (e.g., R2 for testing/validation of GEP and RBF-ANN is 0.745 and 0.65, respectively) than Jarrett’s (J Hydraulic Eng ASCE 110: 1519–1539, 1984) equation (R2 for testing/validation equals 0.58) in predicting the Manning’s n.
","language":"English","publisher":"Springer","doi":"10.1007/s11269-012-0211-1","usgsCitation":"Azamathulla, H., and Jarrett, R.D., 2013, Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams: Water Resources Management, v. 27, no. 3, p. 715-729, https://doi.org/10.1007/s11269-012-0211-1.","productDescription":"15 p.","startPage":"715","endPage":"729","ipdsId":"IP-023452","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-27","publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7b2","contributors":{"authors":[{"text":"Azamathulla, H.","contributorId":194211,"corporation":false,"usgs":false,"family":"Azamathulla","given":"H.","email":"","affiliations":[],"preferred":false,"id":703509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarrett, Robert D. rjarrett@usgs.gov","contributorId":2260,"corporation":false,"usgs":true,"family":"Jarrett","given":"Robert","email":"rjarrett@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":703510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189203,"text":"70189203 - 2013 - Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","interactions":[],"lastModifiedDate":"2018-09-18T10:41:28","indexId":"70189203","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3069,"text":"Physics and Chemistry of the Earth, Parts A/B/C","active":true,"publicationSubtype":{"id":10}},"title":"Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","docAbstract":"This work demonstrates how available knowledge can be used to build more transparent and refutable computer models of groundwater systems. The Death Valley regional groundwater flow system, which surrounds a proposed site for a high level nuclear waste repository of the United States of America, and the Nevada National Security Site (NNSS), where nuclear weapons were tested, is used to explore model adequacy, identify parameters important to (and informed by) observations, and identify existing old and potential new observations important to predictions. Model development is pursued using a set of fundamental questions addressed with carefully designed metrics. Critical methods include using a hydrogeologic model, managing model nonlinearity by designing models that are robust while maintaining realism, using error-based weighting to combine disparate types of data, and identifying important and unimportant parameters and observations and optimizing parameter values with computationally frugal schemes. The frugal schemes employed in this study require relatively few (10–1000 s), parallelizable model runs. This is beneficial because models able to approximate the complex site geology defensibly tend to have high computational cost. The issue of model defensibility is particularly important given the contentious political issues involved.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pce.2013.03.006","usgsCitation":"Hill, M.C., Faunt, C., Belcher, W., Sweetkind, D.S., Tiedeman, C.R., and Kavetski, D., 2013, Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system: Physics and Chemistry of the Earth, Parts A/B/C, v. 64, p. 105-116, https://doi.org/10.1016/j.pce.2013.03.006.","productDescription":"12 p.","startPage":"105","endPage":"116","ipdsId":"IP-041690","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Death Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 35.5\n ],\n [\n -115,\n 35.5\n ],\n [\n -115,\n 38\n ],\n [\n -118,\n 38\n ],\n [\n -118,\n 35.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7ae","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":703473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belcher, Wayne wbelcher@usgs.gov","contributorId":1759,"corporation":false,"usgs":true,"family":"Belcher","given":"Wayne","email":"wbelcher@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":703476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":703474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@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":703508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kavetski, Dmitri","contributorId":194182,"corporation":false,"usgs":false,"family":"Kavetski","given":"Dmitri","email":"","affiliations":[],"preferred":false,"id":703477,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70188073,"text":"70188073 - 2013 - Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA","interactions":[],"lastModifiedDate":"2017-05-30T12:51:09","indexId":"70188073","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA","docAbstract":"Hydrological processes of the wetland complex in the Prairie Pothole Region (PPR) are difficult to model, partly due to a lack of wetland morphology data. We used Light Detection And Ranging (LiDAR) data sets to derive wetland features; we then modelled rainfall, snowfall, snowmelt, runoff, evaporation, the “fill-and-spill” mechanism, shallow groundwater loss, and the effect of wet and dry conditions. For large wetlands with a volume greater than thousands of cubic metres (e.g. about 3000 m3), the modelled water volume agreed fairly well with observations; however, it did not succeed for small wetlands (e.g. volume less than 450 m3). Despite the failure for small wetlands, the modelled water area of the wetland complex coincided well with interpretation of aerial photographs, showing a linear regression with R2 of around 0.80 and a mean average error of around 0.55 km2. The next step is to improve the water budget modelling for small wetlands.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2013.831419","usgsCitation":"Huang, S., Young, C., Abdul-Aziz, O.I., Dahal, D., Feng, M., and Liu, S., 2013, Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA: Hydrological Sciences Journal, v. 58, no. 7, p. 1434-1444, https://doi.org/10.1080/02626667.2013.831419.","productDescription":"11 p.","startPage":"1434","endPage":"1444","ipdsId":"IP-043188","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2013.831419","text":"Publisher Index Page"},{"id":341846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","volume":"58","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c9e4b092b266f10dc8","contributors":{"authors":[{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":696403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":191382,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abdul-Aziz, Omar I.","contributorId":192386,"corporation":false,"usgs":false,"family":"Abdul-Aziz","given":"Omar","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":696402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feng, Min","contributorId":75370,"corporation":false,"usgs":true,"family":"Feng","given":"Min","email":"","affiliations":[],"preferred":false,"id":696406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190318,"text":"70190318 - 2013 - Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications","interactions":[],"lastModifiedDate":"2017-08-27T12:37:54","indexId":"70190318","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications","docAbstract":"Georges Bank is a large, shallow feature separating the Gulf of Maine from the Atlantic Ocean. Previous studies demonstrated a strong tidal-mixing front during the warm season on the northern bank margin between thermally stratified water in the Gulf of Maine and mixed water on the bank. Tides transport warm water off the bank during flood tide and cool gulf water onto the bank during ebb tide. During 10 days in August 2009, we mapped frontal temperatures in five study areas along ∼100 km of the bank margin. The seabed “frontal zone”, where temperature changed with frontal movment, experienced semidiurnal temperature maxima and minima. The tidal excursion of the frontal boundary between stratified and mixed water ranged 6 to 10 km. This “frontal boundary zone” was narrower than the frontal zone. Along transects perpendicular to the bank margin, seabed temperature change at individual sites ranged from 7.0°C in the frontal zone to 0.0°C in mixed bank water. At time series in frontal zone stations, changes during tidal cycles ranged from 1.2 to 6.1°C. The greatest rate of change (-2.48°C hr-1) occurred at mid-ebb. Geographic plots of seabed temperature change allowed the mapping of up to 8 subareas in each study area. The magnitude of temperature change in a subarea depended on its location in the frontal zone. Frontal movement had the greatest effect on seabed temperature in the 40 to 80 m depth interval. Subareas experiencing maximum temperature change in the frontal zone were not in the frontal boundary zone, but rather several km gulfward (off-bank) of the frontal boundary zone. These results provide a new ecological framework for examining the effect of tidally-driven temperature variability on the distribution, food resources, and reproductive success of benthic invertebrate and demersal fish species living in tidal front habitats.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0055273","usgsCitation":"Guida, V.G., Valentine, P.C., and Gallea, L.B., 2013, Semidiurnal temperature changes caused by tidal front movements in the warm season in seabed habitats on the Georges Bank northern margin and their ecological implications: PLoS ONE, v. 8, no. 2, Article e55273; 21 p., https://doi.org/10.1371/journal.pone.0055273.","productDescription":"Article e55273; 21 p.","ipdsId":"IP-027271","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0055273","text":"Publisher Index Page"},{"id":345182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Georges Bank","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.3,\n 41.89\n ],\n [\n -67,\n 41.89\n ],\n [\n -67,\n 42.16667\n ],\n [\n -67.3,\n 42.16667\n ],\n [\n -67.3,\n 41.89\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.33333,\n 42.13333\n ],\n [\n -67.43333,\n 42.10833\n ],\n [\n -67.3,\n 41.85833\n ],\n [\n -67.2,\n 41.88333\n ],\n [\n -67.33333,\n 42.13333\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.51667,\n 42.08333\n ],\n [\n -67.63333,\n 42.04167\n ],\n [\n -67.45833,\n 41.764\n ],\n [\n -67.35,\n 41.8\n ],\n [\n -67.51667,\n 42.08333\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.7,\n 42.04167\n ],\n [\n -67.9,\n 41.95\n ],\n [\n -67.72,\n 41.74\n ],\n [\n -67.508,\n 41.83\n ],\n [\n -67.7,\n 42.04167\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.91667,\n 41.85\n ],\n [\n -68.13333,\n 41.8\n ],\n [\n -68.05,\n 41.63333\n ],\n [\n -67.83333,\n 41.68333\n ],\n [\n -67.91667,\n 41.85\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"59a3da31e4b077f005673225","contributors":{"authors":[{"text":"Guida, Vincent G.","contributorId":60975,"corporation":false,"usgs":false,"family":"Guida","given":"Vincent","email":"","middleInitial":"G.","affiliations":[{"id":13694,"text":"NOAA-NMFS","active":true,"usgs":false}],"preferred":false,"id":708570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentine, Page C. 0000-0002-0485-6266 pvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-6266","contributorId":1947,"corporation":false,"usgs":true,"family":"Valentine","given":"Page","email":"pvalentine@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallea, Leslie B.","contributorId":24302,"corporation":false,"usgs":true,"family":"Gallea","given":"Leslie","email":"","middleInitial":"B.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":708572,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187685,"text":"70187685 - 2013 - Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","interactions":[],"lastModifiedDate":"2017-05-15T14:42:57","indexId":"70187685","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","docAbstract":"In recent years, there has been a significant increase in the use of remotely sensed data to address global issues. With the open data policy, the data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) sensors have become a critical component of numerous applications. These two sensors have been operational for more than a decade, providing a rich archive of multispectral imagery for analysis of mutitemporal remote sensing data. This paper focuses on evaluating the radiometric calibration agreement between MODIS and ETM+ using the near-simultaneous and cloud-free image pairs over an African pseudo-invariant calibration site, Libya 4. To account for the combined uncertainties in the top-of-atmosphere (TOA) reflectance due to surface and atmospheric bidirectional reflectance distribution function (BRDF), a semiempirical BRDF model was adopted to normalize the TOA reflectance to the same illumination and viewing geometry. In addition, the spectra from the Earth Observing-1 (EO-1) Hyperion were used to compute spectral corrections between the corresponding MODIS and ETM+ spectral bands. As EO-1 Hyperion scenes were not available for all MODIS and ETM+ data pairs, MODerate resolution atmospheric TRANsmission (MODTRAN) 5.0 simulations were also used to adjust for differences due to the presence or lack of absorption features in some of the bands. A MODIS split-window algorithm provides the atmospheric water vapor column abundance during the overpasses for the MODTRAN simulations. Additionally, the column atmospheric water vapor content during the overpass was retrieved using the MODIS precipitable water vapor product. After performing these adjustments, the radiometric cross-calibration of the two sensors was consistent to within 7%. Some drifts in the response of the bands are evident, with MODIS band 3 being the largest of about 6% over 10 years, a change that will be corrected in Collection 6 MODIS processing.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2012.2235448","usgsCitation":"Angal, A., Xiong, X., Wu, A., Chander, G., and Choi, T., 2013, Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 4, p. 1870-1882, https://doi.org/10.1109/TGRS.2012.2235448.","productDescription":"13 p.","startPage":"1870","endPage":"1882","ipdsId":"IP-043734","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474036,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140013366","text":"External Repository"},{"id":341240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5916c9b5e4b044b359e486a0","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":695066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":695067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":695068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":695065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":695069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182180,"text":"70182180 - 2013 - Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","interactions":[],"lastModifiedDate":"2017-02-20T11:40:17","indexId":"70182180","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire","docAbstract":"Wildfire can change how soils take in, store, and release water. This study examined differences in how burned and unburned plots on north versus south-facing slope aspects respond to rainfall. The largest wildfire impacts were litter/duff combustion on burned north-facing slopes versus soil-water retention reduction on burned south-facing slopes.
Wildfire is one of the most significant disturbances in mountainous landscapes, affecting water supply and ecologic function and setting the stage for natural hazards such as flash floods. The impacts of wildfire can affect the entire hydrologic cycle. Measurements of soil-water content and matric potential in the near surface (top 30 cm) captured the hydrologic state in both burned and unburned hillslopes during the first spring through fall period (1 June–1 Oct. 2011) after the 2010 Fourmile Canyon Fire near Boulder, CO. This time span included different hydrologic periods characterized by cyclonic frontal storms (low-intensity, long duration), convective storms (high-intensity, short duration), and dry periods. In mountainous environments, aspect can also control hydrologic states, so north- vs. south-facing slopes were compared. Wildfire tended to homogenize soil-water contents across aspects and with depth in the soil, yet it also may have introduced an aspect control on matric potential that was not observed in unburned soils. Post-wildfire changes in hydrologic state were observed in south-facing soils, probably reflecting decreased soil-water retention after wildfire. North-facing soils were impacted the most, in terms of hydrologic state, by the loss of water storage in the combusted litter–duff layer and forest canopy, which had provided a large “hydrologic buffering” capacity when unburned. Unsaturated zone measurements showed increased variability in hydrologic states and more rapid state transitions in wildfire-impacted soils. A simple, qualitative analysis suggested that the range of unsaturated-zone processes along the gravity–capillarity–adsorption continuum was expanded by wildfire for a given soil. The small number of experimental plots in this study suggests that further work is needed before these conclusions can be generalized to other geographic areas.
","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/vzj2012.0089","usgsCitation":"Ebel, B.A., 2013, Wildfire and aspect effects on hydrologic states after the 2010 Fourmile Canyon Fire: Vadose Zone Journal, v. 12, no. 1, https://doi.org/10.2136/vzj2012.0089.","ipdsId":"IP-038010","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-04","publicationStatus":"PW","scienceBaseUri":"58ac0e31e4b0ce4410e7d60a","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":669908,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189522,"text":"70189522 - 2013 - Report A: Fish distribution and population dynamics in Rock Creek, Klickitat County, Washington","interactions":[],"lastModifiedDate":"2017-07-17T11:38:44","indexId":"70189522","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Report A: Fish distribution and population dynamics in Rock Creek, Klickitat County, Washington","docAbstract":"The U.S. Geological Survey collaborated with the Yakama Nation starting in fall of 2009 to study the fish populations in Rock Creek, a Washington State tributary of the Columbia River 21 kilometers upstream of John Day Dam. Prior to this study, very little was known about the ESA-listed (threatened) Mid-Columbia River steelhead (Oncorhynchus mykiss) population in this arid watershed with intermittent stream flow. The objectives of the study were to quantify fish habitat, document fish distribution, abundance, and movement, and identify areas of high salmonid productivity. To accomplish these objectives, we electrofished in the spring and fall, documenting the distribution and relative abundance of all fish species to evaluate the influence of biotic factors on salmonid productivity and survival. We surveyed the distribution of perennial pools and established a network of automated temperature recording devices from river kilometer (rkm) 2 to 23 in Rock Creek and rkm 0 to 8 in Squaw Creek, a major tributary entering Rock Creek at rkm 13, to better understand the abiotic factors influencing the salmonid populations. Salmonid abundance estimates were conducted using a mark-recapture method in a systematic subsample of the perennial pools. The proportion and timing of salmonids migrating from these pools were assessed by building, installing, and operating two passive integrated transponder (PIT) tag interrogation systems at rkm 5 and at the confluence with Squaw Creek (rkm 13). From fall 2009 to fall 2012, we PIT-tagged 3,088 O. mykiss and 151 coho salmon (O. kisutch) during electrofishing efforts. In the lowest flow periods of 2010 to 2012, we found that an average of 36% of the surveyed streambed length was dry, and 17% remained as perennial pools. The maximum temperature recorded in those pools was 24.4°C, but most pools had a maximum temperature that was less than 21°C. O. mykiss were present in most pools, and non-native fish species, such as smallmouth bass (Micropterus dolomieu), were typically found downstream of rkm 5. Coho salmon were present in nearly every pool that was sampled in 2011, but were rare in 2009, 2010, and 2012. About 27% of the PIT-tagged O. mykiss and 38% of the PIT-tagged coho were detected outmigrating to the Columbia River. Of those fish, 92% (n=695) were detected leaving Rock Creek as smolts in April and May. As of November 2013, 9 O. mykiss and 4 coho that we tagged in Rock Creek as juveniles have returned as adults to Bonneville Dam. Also, an additional 34 PIT-tagged adult steelhead, and 6 PIT-tagged coho that were tagged by other groups have been detected in Rock Creek, of which, 22 were of known origin (tagged as juveniles). Of these, 85% were tagged or released in the Snake River. The PIT-tag interrogation systems will be operated for several more years to allow time for the fish tagged as juveniles to return as adults and complete their life cycles. The Yakama Nation will use the information collected from this study to prioritize and gauge the effectiveness of ongoing and future restoration actions.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Rock Creek fish and habitat assessment for prioritization of restoration and protection actions","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Allen, B., Munz, C.S., and Harvey, E., 2013, Report A: Fish distribution and population dynamics in Rock Creek, Klickitat County, Washington, 78 p.","productDescription":"78 p.","startPage":"A1","endPage":"A78","ipdsId":"IP-053715","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":343942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343867,"type":{"id":15,"text":"Index 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availability of water and forage is important for the sustainable development of pastoral regions. The lack of such information increases the dependence of pastoral communities on perennial sources, which often leads to competition and conflicts. The provision of timely information is a challenging task, especially due to the scarcity or non-existence of conventional station-based hydrometeorological networks in the remote pastoral regions. A multi-source water balance modelling approach driven by satellite data was used to operationally monitor daily water level fluctuations across the pastoral regions of northern Kenya and southern Ethiopia. Advanced Spaceborne Thermal Emission and Reflection Radiometer data were used for mapping and estimating the surface area of the waterholes. Satellite-based rainfall, modelled run-off and evapotranspiration data were used to model daily water level fluctuations. Mapping of waterholes was achieved with 97% accuracy. Validation of modelled water levels with field-installed gauge data demonstrated the ability of the model to capture the seasonal patterns and variations. Validation results indicate that the model explained 60% of the observed variability in water levels, with an average root-mean-squared error of 22%. Up-to-date information on rainfall, evaporation, scaled water depth and condition of the waterholes is made available daily in near-real time via the Internet (http://watermon.tamu.edu). Such information can be used by non-governmental organizations, governmental organizations and other stakeholders for early warning and decision making. This study demonstrated an integrated approach for establishing an operational waterhole monitoring system using multi-source satellite data and hydrologic modelling.
","language":"English","publisher":"Springer","doi":"10.1186/2041-7136-3-20","usgsCitation":"Senay, G., Velpuri, N.M., Alemu, H., Pervez, S., Asante, K.O., Karuki, G., Taa, A., and Angerer, J., 2013, Establishing an operational waterhole monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa: Pastoralism: Research, Policy and Practice, v. 3, p. 1-16, https://doi.org/10.1186/2041-7136-3-20.","productDescription":"Article 20; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-049147","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2041-7136-3-20","text":"Publisher Index Page"},{"id":342154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33,\n -0\n ],\n [\n 42.0556640625,\n -0\n ],\n [\n 42.0556640625,\n 9\n ],\n [\n 33,\n 9\n ],\n [\n 33,\n -0\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf30e4b0f6c2d0d9c7a0","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":697262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pervez, Shahriar Md 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":192362,"corporation":false,"usgs":true,"family":"Pervez","given":"Shahriar Md","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Asante, Kwabena O 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":192649,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","email":"","middleInitial":"O","affiliations":[],"preferred":true,"id":697264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karuki, Gatarwa","contributorId":192650,"corporation":false,"usgs":false,"family":"Karuki","given":"Gatarwa","email":"","affiliations":[],"preferred":false,"id":697265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taa, Asefa","contributorId":192651,"corporation":false,"usgs":false,"family":"Taa","given":"Asefa","email":"","affiliations":[],"preferred":false,"id":697266,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Angerer, Jay","contributorId":172794,"corporation":false,"usgs":false,"family":"Angerer","given":"Jay","email":"","affiliations":[],"preferred":false,"id":697267,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189568,"text":"70189568 - 2013 - Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","interactions":[],"lastModifiedDate":"2017-07-17T15:02:31","indexId":"70189568","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","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":"Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event","docAbstract":"Rising CO2 concentration in the atmosphere, global climate change, and the sustainability of the Earth's biosphere are great societal concerns for the 21st century. Global climate change has, in part, resulted in a higher frequency of flooding events, which allow for greater exchange between soil/plant litter and aquatic carbon pools. Here we demonstrate that the summer 2011 flood in the Mississippi River basin, caused by extreme precipitation events, resulted in a “flushing” of terrestrially derived dissolved organic carbon (TDOC) to the northern Gulf of Mexico. Data from the lower Atchafalaya and Mississippi rivers showed that the DOC flux to the northern Gulf of Mexico during this flood was significantly higher than in previous years. We also show that consumption of radiocarbon-modern TDOC by bacteria in floodwaters in the lower Atchafalaya River and along the adjacent shelf contributed to northern Gulf shelf waters changing from a net sink to a net source of CO2 to the atmosphere in June and August 2011. This work shows that enhanced flooding, which may or may not be caused by climate change, can result in rapid losses of stored carbon in soils to the atmosphere via processes in aquatic ecosystems.
","language":"English","publisher":"AGU","doi":"10.1029/2012GL054145","usgsCitation":"Bianchi, T.S., Garcia-Tigreros, F., Yvon-Lewis, S.A., Shields, M., Mills, H.J., Butman, D., Osburn, C., Raymond, P.A., Shank, G.C., DiMarco, S.F., Walker, N., Kiel Reese, B., Mullins-Perry, R., Quigg, A., Aiken, G.R., and Grossman, E.L., 2013, Enhanced transfer of terrestrially derived carbon to the atmosphere in a flooding event: Geophysical Research Letters, v. 40, no. 1, p. 116-122, https://doi.org/10.1029/2012GL054145.","productDescription":"7 p.","startPage":"116","endPage":"122","ipdsId":"IP-040374","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-08","publicationStatus":"PW","scienceBaseUri":"596dcca5e4b0d1f9f0627574","contributors":{"authors":[{"text":"Bianchi, Thomas S.","contributorId":150225,"corporation":false,"usgs":false,"family":"Bianchi","given":"Thomas","email":"","middleInitial":"S.","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":705235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yvon-Lewis, Shari A.","contributorId":119588,"corporation":false,"usgs":true,"family":"Yvon-Lewis","given":"Shari","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shields, Michael","contributorId":150228,"corporation":false,"usgs":false,"family":"Shields","given":"Michael","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":705237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mills, Heath J.","contributorId":194745,"corporation":false,"usgs":false,"family":"Mills","given":"Heath","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":705238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osburn, Christopher","contributorId":194746,"corporation":false,"usgs":false,"family":"Osburn","given":"Christopher","affiliations":[],"preferred":false,"id":705240,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":705241,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shank, G. Christopher","contributorId":194747,"corporation":false,"usgs":false,"family":"Shank","given":"G.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":705242,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DiMarco, Steven F.","contributorId":15435,"corporation":false,"usgs":true,"family":"DiMarco","given":"Steven","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":705243,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Walker, Nan","contributorId":194748,"corporation":false,"usgs":false,"family":"Walker","given":"Nan","email":"","affiliations":[],"preferred":false,"id":705244,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kiel Reese, Brandi","contributorId":194749,"corporation":false,"usgs":false,"family":"Kiel Reese","given":"Brandi","email":"","affiliations":[],"preferred":false,"id":705245,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mullins-Perry, Ruth","contributorId":194750,"corporation":false,"usgs":false,"family":"Mullins-Perry","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":705246,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Quigg, Antonietta","contributorId":194751,"corporation":false,"usgs":false,"family":"Quigg","given":"Antonietta","email":"","affiliations":[],"preferred":false,"id":705247,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705248,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grossman, Ethan L.","contributorId":189344,"corporation":false,"usgs":false,"family":"Grossman","given":"Ethan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":705249,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70187702,"text":"70187702 - 2013 - Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States","interactions":[],"lastModifiedDate":"2017-05-31T16:13:52","indexId":"70187702","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States","docAbstract":"The physical surface of the Earth is in constant change due to climate forcing and human activities. In the Midwestern United States, urban area, farmland, and dedicated energy crop (e.g., switchgrass) cultivation are predicted to expand in the coming decades, which will lead to changes in hydrological processes. This study is designed to (1) project the land use and land cover (LULC) by mid-century using the FORecasting SCEnarios of future land-use (FORE-SCE) model under the A1B greenhouse gas emission scenario (future condition) and (2) assess its potential impacts on the water cycle and water quality against the 2001 baseline condition in the Cedar River Basin using the physically based soil and water assessment tool (SWAT). We compared the baseline LULC (National Land Cover data 2001) and 2050 projection, indicating substantial expansions of urban area and pastureland (including the cultivation of bioenergy crops) and a decrease in rangeland. We then used the above two LULC maps as the input data to drive the SWAT model, keeping other input data (e.g., climate) unchanged to isolate the LULC change impacts. The modeling results indicate that quick-response surface runoff would increase significantly (about 10.5%) due to the projected urban expansion (i.e., increase in impervious areas), and the baseflow would decrease substantially (about 7.3%) because of the reduced infiltration. Although the net effect may cause an increase in water yield, the increased variability may impede its use for public supply. Additionally, the cultivation of bioenergy crops such as switchgrass in the newly added pasture lands may further reduce the soil water content and lead to an increase in nitrogen loading (about 2.5% increase) due to intensified fertilizer application. These study results will be informative to decision makers for sustainable water resource management when facing LULC change and an increasing demand for biofuel production in this area.
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This study investigated the effects of hydrologic connectivity to stream water on soil nutrient fluxes in plots (n = 20) located among four created and two natural freshwater wetlands of varying hydrology in the Piedmont physiographic province of Virginia. Surface water was slightly deeper; hydrologic inputs of sediment, sediment-N, and ammonium were greater; and soil net ammonification, N mineralization, and N turnover were greater in plots with stream water classified as their primary water source compared with plots with precipitation or groundwater as their primary water source. Soil water-filled pore space, inputs of nitrate, and soil net nitrification, P mineralization, and denitrification enzyme activity (DEA) were similar among plots. Soil ammonification, N mineralization, and N turnover rates increased with the loading rate of ammonium to the soil surface. Phosphorus mineralization and ammonification also increased with sedimentation and sediment-N loading rate. Nitrification flux and DEA were positively associated in these wetlands. In conclusion, hydrologic connectivity to stream water increased allochthonous inputs that stimulated soil N and P cycling and that likely led to greater retention of sediment and nutrients in created and natural wetlands. Our findings suggest that wetland creation and restoration projects should be designed to allow connectivity with stream water if the goal is to optimize the function of water quality improvement in a watershed.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.2134/jeq2012.0466","usgsCitation":"Wolf, K.L., Noe, G.E., and Ahn, C., 2013, Hydrologic connectivity to streams increases nitrogen and phosphorus inputs and cycling in soils of created and natural floodplain wetlands: Journal of Environmental Quality, v. 42, no. 4, p. 1245-1255, https://doi.org/10.2134/jeq2012.0466.","productDescription":"11 p.","startPage":"1245","endPage":"1255","ipdsId":"IP-024681","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-01","publicationStatus":"PW","scienceBaseUri":"58ff0ea7e4b006455f2d61f6","contributors":{"authors":[{"text":"Wolf, Kristin L.","contributorId":92151,"corporation":false,"usgs":true,"family":"Wolf","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":692517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":692518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahn, Changwoo","contributorId":38047,"corporation":false,"usgs":true,"family":"Ahn","given":"Changwoo","affiliations":[],"preferred":false,"id":692519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156863,"text":"70156863 - 2013 - Hormonal control of euryhalinity","interactions":[],"lastModifiedDate":"2015-08-31T16:00:02","indexId":"70156863","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hormonal control of euryhalinity","docAbstract":"Hormones play a critical role in maintaining body fluid balance in euryhaline fishes during changes in environmental salinity. The neuroendocrine axis senses osmotic and ionic changes, then signals and coordinates tissue-specific responses to regulate water and ion fluxes. Rapid-acting hormones, e.g. angiotensins, cope with immediate challenges by controlling drinking rate and the activity of ion transporters in the gill, gut, and kidney. Slow-acting hormones, e.g. prolactin and growth hormone/insulin-like growth factor-1, reorganize the body for long-term acclimation by altering the abundance of ion transporters and through cell proliferation and differentiation of ionocytes and other osmoregulatory cells. Euryhaline species exist in all groups of fish, including cyclostomes, and cartilaginous and teleost fishes. The diverse strategies for responding to changes in salinity have led to differential regulation and tissue-specific effects of hormones. Combining traditional physiological approaches with genomic, transcriptomic, and proteomic analyses will elucidate the patterns and diversity of the endocrine control of euryhalinity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Euryhaline fishes","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-396951-4.00003-7","usgsCitation":"Takei, Y., and McCormick, S., 2013, Hormonal control of euryhalinity, chap. of Euryhaline fishes, v. 32, p. 70-125, https://doi.org/10.1016/B978-0-12-396951-4.00003-7.","productDescription":"56 p.","startPage":"70","endPage":"125","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":307755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e57ab0e4b05561fa20869b","contributors":{"editors":[{"text":"McCormick, Stephen D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":84678,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","affiliations":[],"preferred":false,"id":570853,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Farrell, Anthony Peter","contributorId":112579,"corporation":false,"usgs":true,"family":"Farrell","given":"Anthony","email":"","middleInitial":"Peter","affiliations":[],"preferred":false,"id":570854,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Brauner, Colin J.","contributorId":113839,"corporation":false,"usgs":true,"family":"Brauner","given":"Colin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570855,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Takei, Yoshio","contributorId":36838,"corporation":false,"usgs":true,"family":"Takei","given":"Yoshio","email":"","affiliations":[],"preferred":false,"id":570851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":84678,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","affiliations":[],"preferred":false,"id":570852,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}