We have known for decades that dissolved organic matter (DOM) plays a critical role in the biogeochemical cycling of trace metals and the mobility of colloidal particles in aquatic environments. In recent years, concerns about the ecological and human health effects of metal-based engineered nanoparticles released into natural waters have increased efforts to better define the nature of DOM interactions with metals and surfaces. Nanomaterials exhibit unique properties and enhanced reactivities that are not apparent in larger materials of the same composition1,2 or dissolved ions of metals that comprise the nanoparticles. These nanoparticle-specific properties generally result from the relatively large proportion of the atoms located at the surface, which leads to very high specific surface areas and a high proportion of crystal lattice imperfections relative to exposed surface area. Nanoscale colloids are ubiquitous in nature,2 and many engineered nanomaterials have analogs in the natural world. The properties of these materials, whether natural or manmade, are poorly understood, and new challenges have been presented in assessing their environmental fate. These challenges are particularly relevant in aquatic environments where interactions with DOM are key, albeit often overlooked, moderators of reactivity at the molecular and nanocolloidal scales.
","language":"English","publisher":"ACS Publications","doi":"10.1021/es103992s","usgsCitation":"Aiken, G.R., Hsu-Kim, H., and Ryan, J.N., 2011, Influence of dissolved organic matter on the environmental fate of metals, nanoparticles, and colloids: Environmental Science & Technology, v. 45, no. 8, p. 3196-3201, https://doi.org/10.1021/es103992s.","productDescription":"6 p.","startPage":"3196","endPage":"3201","ipdsId":"IP-026108","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":334290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-03-15","publicationStatus":"PW","scienceBaseUri":"58905ef3e4b072a7ac0cad43","contributors":{"authors":[{"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":661455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hsu-Kim, Heileen","contributorId":49041,"corporation":false,"usgs":false,"family":"Hsu-Kim","given":"Heileen","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":661456,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":661457,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70033806,"text":"70033806 - 2011 - Mapping three-dimensional surface deformation by combining multiple-aperture interferometry and conventional interferometry: Application to the June 2007 eruption of Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2018-10-30T09:46:04","indexId":"70033806","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1940,"text":"IEEE Geoscience and Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mapping three-dimensional surface deformation by combining multiple-aperture interferometry and conventional interferometry: Application to the June 2007 eruption of Kilauea Volcano, Hawaii","docAbstract":"Surface deformation caused by an intrusion and small eruption during June 17-19, 2007, along the East Rift Zone of Kilauea Volcano, Hawaii, was three-dimensionally reconstructed from radar interferograms acquired by the Advanced Land Observing Satellite (ALOS) phased-array type L-band synthetic aperture radar (SAR) (PALSAR) instrument. To retrieve the 3-D surface deformation, a method that combines multiple-aperture interferometry (MAI) and conventional interferometric SAR (InSAR) techniques was applied to one ascending and one descending ALOS PALSAR interferometric pair. The maximum displacements as a result of the intrusion and eruption are about 0.8, 2, and 0.7 m in the east, north, and up components, respectively. The radar-measured 3-D surface deformation agrees with GPS data from 24 sites on the volcano, and the root-mean-square errors in the east, north, and up components of the displacement are 1.6, 3.6, and 2.1 cm, respectively. Since a horizontal deformation of more than 1 m was dominantly in the north-northwest-south-southeast direction, a significant improvement of the north-south component measurement was achieved by the inclusion of MAI measurements that can reach a standard deviation of 3.6 cm. A 3-D deformation reconstruction through the combination of conventional InSAR and MAI will allow for better modeling, and hence, a more comprehensive understanding, of the source geometry associated with volcanic, seismic, and other processes that are manifested by surface deformation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Geoscience and Remote Sensing Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"http://www.ieee.org/index.html","doi":"10.1109/LGRS.2010.2051793","issn":"1545598X","usgsCitation":"Jung, H., Lu, Z., Won, J., Poland, M.P., and Mikijus, A., 2011, Mapping three-dimensional surface deformation by combining multiple-aperture interferometry and conventional interferometry: Application to the June 2007 eruption of Kilauea Volcano, Hawaii: IEEE Geoscience and Remote Sensing Letters, v. 8, no. 1, p. 34-38, https://doi.org/10.1109/LGRS.2010.2051793.","productDescription":"5 p.","startPage":"34","endPage":"38","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":242070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214350,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/LGRS.2010.2051793"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Mount Kilauea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.425076,22.199557 ], [ -159.425076,22.223829 ], [ -159.395349,22.223829 ], [ -159.395349,22.199557 ], [ -159.425076,22.199557 ] ] ] } } ] }","volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a508ce4b0c8380cd6b771","contributors":{"authors":[{"text":"Jung, H.-S.","contributorId":41068,"corporation":false,"usgs":true,"family":"Jung","given":"H.-S.","email":"","affiliations":[],"preferred":false,"id":442588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":442591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Won, J.-S.","contributorId":17756,"corporation":false,"usgs":true,"family":"Won","given":"J.-S.","email":"","affiliations":[],"preferred":false,"id":442587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":442590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikijus, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":80431,"corporation":false,"usgs":true,"family":"Mikijus","given":"Asta","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":442589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175161,"text":"70175161 - 2011 - Chapter 4: A sampling and analytical approach to develop spatial distribution models for sagebrush-associated species","interactions":[{"subject":{"id":70175161,"text":"70175161 - 2011 - Chapter 4: A sampling and analytical approach to develop spatial distribution models for sagebrush-associated species","indexId":"70175161","publicationYear":"2011","noYear":false,"chapter":"4","title":"Chapter 4: A sampling and analytical approach to develop spatial distribution models for sagebrush-associated species"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:12:28.582231","indexId":"70175161","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Chapter 4: A sampling and analytical approach to develop spatial distribution models for sagebrush-associated species","docAbstract":"Understanding multi-scale floral and faunal responses to human land use is crucial for informing natural resource management and conservation planning. However, our knowledge on how land use influences sagebrush (Artemisia spp.) ecosystems is limited primarily to site-specific studies. To fill this void, studies across large regions are needed that address how species are distributed relative to type, extent, and intensity of land use. We present a study design for the Wyoming Basin Ecoregional Assessment (WBEA) to sample sagebrush-associated flora and fauna along a land cover-human land use gradient. To minimize field costs, we sampled various taxonomic groups simultaneously on transects (ungulates and lagomorphs), point counts (song birds), and area-searches of 7.29-ha survey blocks (pellet counts, burrow counts, reptile surveys, medium-sized mammals, ant mounds, rodent trapping, and vegetation sampling of native and exotic plants). We then present an exploratory approach to develop species occurrence and abundance models when a priori model building is not an option. 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2011 - Chapter 7: Occurrence and abundance of ants, reptiles, and mammals","interactions":[{"subject":{"id":70175389,"text":"70175389 - 2011 - Chapter 7: Occurrence and abundance of ants, reptiles, and mammals","indexId":"70175389","publicationYear":"2011","noYear":false,"chapter":"7","title":"Chapter 7: Occurrence and abundance of ants, reptiles, and mammals"},"predicate":"IS_PART_OF","object":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"id":1}],"isPartOf":{"id":70118768,"text":"70118768 - 2011 - Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","indexId":"70118768","publicationYear":"2011","noYear":false,"title":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins"},"lastModifiedDate":"2020-08-31T14:26:49.403754","indexId":"70175389","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Chapter 7: Occurrence and abundance of ants, reptiles, and mammals","docAbstract":"Sagebrush (Artemisia spp.)- associated wildlife are threatened by habitat loss and fragmentation and by impacts associated with anthropogenic disturbances, including energy development. Understanding how species of concern as well as other wildlife including insects, reptiles, and mammals respond to type and spatial scale of disturbance is critical to managing future land uses and identifying sites that are important for conservation. We developed statistical models to describe species occurrence or abundance, based on area searches in 7.29-ha survey blocks, across the Wyoming Basins Ecoregional Assessment (WBEA) area for six shrub steppe-associated species: harvester ant (Pogonomyrmex spp.), thatch ant (Formica spp.), short-horned lizard (Phrynosoma hernandesi), white-tailed jackrabbit (Lepus townsendii), cottontail (Sylvilagus spp.) and least chipmunk (Tamius minimus). We modeled patterns in occupancy or abundance relative to multi-scale measures of vegetation type and pattern, abiotic site characteristics, and anthropogenic disturbance factors. Sagebrush habitat was a strong predictor of occurrence for shorthorned lizards and white-tailed jackrabbits, but weak for the other four species. Vegetation and abiotic characteristics were strong determinants of species occurrence, although the scale of response was not consistent among species. All species, with the exception of the short-horned lizard, responded to anthropogenic disturbance, although responses again varied as a function of scale and direction (negative and positive influences). Our results improve our understanding of how environmental and anthropogenic factors affect species distributions across the WBEA area and facilitate a multi-species approach to management of this sagebrush ecosystem.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Allen Press","publisherLocation":"Lawrence, Kansas","isbn":"978-0-615-55530-0","usgsCitation":"Hanser, S.E., Leu, M., Aldridge, C.L., Nielsen, S.E., Rowland, M., and Knick, S.T., 2011, Chapter 7: Occurrence and abundance of ants, reptiles, and mammals, chap. 7 of Sagebrush ecosystem conservation and management: Ecoregional assessment tools and models for the Wyoming Basins, p. 221-314.","productDescription":"94 p.","startPage":"221","endPage":"314","numberOfPages":"94","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":378026,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ja/70175389/70175389.pdf","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee"},{"id":326273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.060791015625,\n 40.9964840143779\n ],\n [\n -111.060791015625,\n 45.00365115687189\n ],\n [\n -104.051513671875,\n 45.00365115687189\n ],\n [\n -104.051513671875,\n 40.9964840143779\n ],\n [\n -111.060791015625,\n 40.9964840143779\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"The U.S. Geological Survey has been given express permission by the publisher to provide full-text access online for this publication, and is posted with the express permission from the Publications Warehouse Guidance Subcommittee","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad6ae4b05e859bdfba7b","contributors":{"authors":[{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":797687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leu, Matthias","contributorId":68393,"corporation":false,"usgs":true,"family":"Leu","given":"Matthias","affiliations":[],"preferred":false,"id":797688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":797689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, Scott E.","contributorId":65190,"corporation":false,"usgs":true,"family":"Nielsen","given":"Scott","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":797690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowland, Mary M.","contributorId":67411,"corporation":false,"usgs":true,"family":"Rowland","given":"Mary M.","affiliations":[],"preferred":false,"id":797691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":797692,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70003448,"text":"70003448 - 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The steady-state assumption is required because temporal variability, if quantified at all, is usually determined on a seasonal or inter-annual scale. In order to design models that can incorporate finer-scale temporal resolution we first need to measure variability at a finer scale. Automated seepage meters that can measure flow across the sediment-water interface with temporal resolution of seconds to minutes were used in a variety of settings to characterize seepage response to rainfall, wind, and evapotranspiration. Results indicate that instantaneous seepage fluxes can be much larger than values commonly reported in the literature, although seepage does not always respond to hydrological processes. Additional study is needed to understand the reasons for the wide range and types of responses to these hydrologic and atmospheric events.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Conceptual and modelling studies of integrated groundwater, surface water, and ecological systems ","conferenceTitle":"Symposium H01 ","conferenceDate":"July 2011","conferenceLocation":"Melbourne, Australia","language":"English","publisher":"International Association of Hydrological Sciences ","usgsCitation":"Rosenberry, D.O., 2011, The need to consider temporal variability when modelling exchange at the sediment-water interface, in Conceptual and modelling studies of integrated groundwater, surface water, and ecological systems , v. 345, Melbourne, Australia, July 2011, p. 3-9.","productDescription":"7 p. 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This hypothesis grew from the supposition that breeding colonies in the WAP during summer are located adjacent to areas of complex bathymetry where circulation and upwelling processes appear to ensure predictable food resources. Therefore, we tested the additional hypothesis that these areas continue to contribute to the foraging strategy of this species throughout the non-breeding winter season. We used satellite telemetry data collected as part of the SO GLOBEC program during the austral winters of 2001 and 2002 to characterize individual penguin foraging locations in relation to bathymetry, sea ice variability within the pack ice, and wind velocity and divergence (as a proxy for potential areas with cracks and leads). We also explored differences between males and females in core foraging area overlap. Ocean depth was the most influential variable in the determination of foraging location, with most birds focusing their effort on shallow (<200 m) waters near land and on mixed-layer (200–500 m) waters near the edge of deep troughs. Within-ice variability and wind (as a proxy for potential areas with cracks and leads) were not found to be influential variables, which is likely because of the low resolution satellite imagery and model outputs that were available. Throughout the study period, all individuals maintained a core foraging area separated from other individuals with very little overlap. However, from a year with light sea ice to one with heavy ice cover (2001–2002), we observed an increase in the overlap of individual female foraging areas with those of other birds, likely due to restricted access to the water column, reduced prey abundance, or higher prey concentration. Male birds maintained separate core foraging areas with the same small amount of overlap, showing no difference in overlap between the years. While complex bathymetry was an important physical variable influencing the Adélie penguin's foraging, the analysis of sea ice data of a higher resolution than was available for this study may help elucidate the role of sea ice in affecting Adélie penguin winter foraging behavior within the pack ice.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2010.10.054","usgsCitation":"Erdmann, E.S., Ribic, C., Patterson-Fraser, D.L., and Fraser, W., 2011, Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 58, no. 13-16, p. 1710-1718, https://doi.org/10.1016/j.dsr2.2010.10.054.","productDescription":"9 p.","startPage":"1710","endPage":"1718","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013811","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.73828125,\n -74.86788912917916\n ],\n [\n -81.73828125,\n -62.34960927573042\n ],\n [\n -55.72265625,\n -62.34960927573042\n ],\n [\n -55.72265625,\n -74.86788912917916\n ],\n [\n -81.73828125,\n -74.86788912917916\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"13-16","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57612aaee4b04f417c2ce48a","contributors":{"authors":[{"text":"Erdmann, Eric S.","contributorId":97743,"corporation":false,"usgs":true,"family":"Erdmann","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":637282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson-Fraser, Donna L.","contributorId":84726,"corporation":false,"usgs":true,"family":"Patterson-Fraser","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, William R.","contributorId":94277,"corporation":false,"usgs":true,"family":"Fraser","given":"William R.","affiliations":[],"preferred":false,"id":638765,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190320,"text":"70190320 - 2011 - Directional bottom roughness associated with waves, currents, and ripples","interactions":[],"lastModifiedDate":"2017-08-27T09:32:09","indexId":"70190320","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Directional bottom roughness associated with waves, currents, and ripples","docAbstract":"This chapter deals with the estimation of occupancy as a state variable to assess the status of, and track changes in, species distributions when sampling with camera traps. Much of the recent interest in occupancy estimation and modeling originated from the models developed by MacKenzie et al. (2002, 2003), although similar methods were developed independently (Azuma et al. 1990; Bayley and Petersen 2001; Nichols and Karanth, 2002; Tyre et al. 2003), all of which deal with species occurrence information and imperfect detection. Less than a decade after these publications, the modeling and estimation of species occurrence and occupancy dynamics have increased significantly. Special features of scientific journals have explored innovative uses of detection–nondetection data with occupancy models (Vojta 2005), and an entire volume has synthesized the use and application of occupancy estimation methods (MacKenzie et al. 2006). Reviews of the topical concepts, philosophical considerations, and various sampling designs that can be used for occupancy estimation are now readily available for a range of audiences (MacKenzie and Royle 2005; MacKenzie et al. 2006; Bailey et al. 2007; Royle and Dorazio 2008; Conroy and Carroll 2009; Kendall and White 2009; Hines et al. 2010; Link and Barker 2010). As a result, it would be pointless here to recast all that these publications have so eloquently articulated, but that said, a review of any scientific topic requires sufficient context and relevant background information, especially when relatively new methodologies and techniques such as occupancy estimation and camera traps are involved. This is especially critical in a digital age where new information is published at warp speed, making it increasingly difficult to stay abreast of theoretical advances and research developments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Camera traps in animal ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-4-431-99495-4_11","usgsCitation":"O’Connell, A.F., and Bailey, L., 2011, Inference for occupancy and occupancy dynamics, chap. of Camera traps in animal ecology, p. 191-204, https://doi.org/10.1007/978-4-431-99495-4_11.","productDescription":"14 p.","startPage":"191","endPage":"204","ipdsId":"IP-021692","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f5bae4b0bc0bec0a1814","contributors":{"editors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649603,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649604,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":649605,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":649602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190324,"text":"70190324 - 2011 - Barriers on the brink? The complex intertwined roles of geologic framework, sediment availability and sea-level rise in island evolution","interactions":[],"lastModifiedDate":"2017-08-26T18:23:20","indexId":"70190324","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Barriers on the brink? The complex intertwined roles of geologic framework, sediment availability and sea-level rise in island evolution","docAbstract":"Many physicochemical factors potentially impair stream ecosystems in urbanizing basins, but few studies have evaluated their relative importance simultaneously, especially in different environmental settings. We used data collected in 25 to 30 streams along a gradient of urbanization in each of 6 metropolitan areas (MAs) to evaluate the relative importance of 11 physicochemical factors on the condition of algal, macroinvertebrate, and fish assemblages. For each assemblage, biological condition was quantified using 2 separate metrics, nonmetric multidimensional scaling ordination site scores and the ratio of observed/expected taxa, both derived in previous studies. Separate linear regression models with 1 or 2 factors as predictors were developed for each MA and assemblage metric. Model parsimony was evaluated based on Akaike’s Information Criterion for small sample size (AICc) and Akaike weights, and variable importance was estimated by summing the Akaike weights across models containing each stressor variable. Few of the factors were strongly correlated (Pearson |r| > 0.7) within MAs. Physicochemical factors explained 17 to 81% of variance in biological condition. Most (92 of 118) of the most plausible models contained 2 predictors, and generally more variance could be explained by the additive effects of 2 factors than by any single factor alone. None of the factors evaluated was universally important for all MAs or biological assemblages. The relative importance of factors varied for different measures of biological condition, biological assemblages, and MA. Our results suggest that the suite of physicochemical factors affecting urban stream ecosystems varies across broad geographic areas, along gradients of urban intensity, and among basins within single MAs.
","language":"English","publisher":"University of Chicago Press","doi":"10.1899/10-131.1","usgsCitation":"Carlisle, D.M., and Bryant, W., 2011, The relative importance of physicochemical factors to stream biological condition in urbanizing basins: Evidence from multimodel inference: Freshwater Science, v. 31, no. 1, p. 154-166, https://doi.org/10.1899/10-131.1.","productDescription":"13 p.","startPage":"154","endPage":"166","ipdsId":"IP-011790","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":488743,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/10-131.1","text":"External Repository"},{"id":348633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bb3e4b09af898c94155","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":717302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryant, Wade L. Jr. wbbryant@usgs.gov","contributorId":1777,"corporation":false,"usgs":true,"family":"Bryant","given":"Wade L.","suffix":"Jr.","email":"wbbryant@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":717303,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003447,"text":"70003447 - 2011 - Estimation of demographic parameters in a tiger population from long-term camera trap data","interactions":[],"lastModifiedDate":"2017-01-31T12:49:05","indexId":"70003447","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimation of demographic parameters in a tiger population from long-term camera trap data","docAbstract":"Chapter 7 (Karanth et al.) illustrated the use of camera trapping in combination with closed population capture–recapture (CR) models to estimate densities of tigers Panthera tigris. Such estimates can be very useful for investigating variation across space for a particular species (e.g., Karanth et al. 2004) or variation among species at a specific location. In addition, estimates of density continued at the same site(s) over multiple years are very useful for understanding and managing populations of large carnivores. Such multi-year studies can yield estimates of rates of change in abundance. Additionally, because the fates of marked individuals are tracked through time, biologists can delve deeper into factors driving changes in abundance such as rates of survival, recruitment and movement (Williams et al. 2002). Fortunately, modern CR approaches permit the modeling of populations that change between sampling occasions as a result of births, deaths, immigration and emigration (Pollock et al. 1990; Nichols 1992). Some of these early “open population” models focused on estimation of survival rates and, to a lesser extent, abundance, but more recent models permit estimation of recruitment and movement rates as well.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Camera traps in animal ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-4-431-99495-4_9","usgsCitation":"Karanth, K.U., and Nichols, J., 2011, Estimation of demographic parameters in a tiger population from long-term camera trap data, chap. of Camera traps in animal ecology, p. 145-161, https://doi.org/10.1007/978-4-431-99495-4_9.","productDescription":"17 p.","startPage":"145","endPage":"161","numberOfPages":"17","ipdsId":"IP-020298","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":334463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5891b0aae4b072a7ac1298f9","contributors":{"editors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":661970,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":661971,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":661972,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Karanth, K. Ullas","contributorId":6984,"corporation":false,"usgs":true,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":661968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":661969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190323,"text":"70190323 - 2011 - The development of a probabilistic approach to forecast coastal change","interactions":[],"lastModifiedDate":"2017-08-27T09:35:58","indexId":"70190323","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The development of a probabilistic approach to forecast coastal change","docAbstract":"Rip current currents constitute one of the most common hazards in the nearshore that threaten the lives of the unaware public that makes recreational use of the coastal zone. Society responds to this danger through a number of measures that include: (a) the deployment of trained lifeguards; (b) public education related to the hidden hazards of the nearshore; and (c) establishment of warning systems.
","largerWorkTitle":"Rip currents: Beach safety, physical oceanography, and wave modeling","conferenceTitle":"First International Rip Current Symposium ","conferenceDate":"February 17-19, 2010","conferenceLocation":"Miami, FL","language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","doi":"10.1201/b10916-6","isbn":"978-1-4398-3896-9","usgsCitation":"Voulgaris, G., Kumar, N., and Warner, J., 2011, Methodology for prediction of rip currents using a three-dimensional numerical, coupled, wave current model, in Rip currents: Beach safety, physical oceanography, and wave modeling, Miami, FL, February 17-19, 2010, p. 87-105, https://doi.org/10.1201/b10916-6.","productDescription":"19 p.","startPage":"87","endPage":"105","ipdsId":"IP-023768","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a288cae4b077f0056692b3","contributors":{"editors":[{"text":"Leatherman, Stephen","contributorId":34075,"corporation":false,"usgs":false,"family":"Leatherman","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":708518,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fletemeyer, John","contributorId":69511,"corporation":false,"usgs":false,"family":"Fletemeyer","given":"John","email":"","affiliations":[],"preferred":false,"id":708519,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":708515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Nirnimesh","contributorId":102308,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":708516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708517,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156865,"text":"70156865 - 2011 - Management case study: Tampa Bay, Florida","interactions":[],"lastModifiedDate":"2022-11-07T17:48:51.435963","indexId":"70156865","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Management case study: Tampa Bay, Florida","docAbstract":"Tampa Bay, Florida, USA, is a shallow, subtropical estuary that experienced severe cultural eutrophication between the 1940s and 1980s, a period when the human population of its watershed quadrupled. In response, citizen action led to the formation of a public- and private-sector partnership (the Tampa Bay Estuary Program), which adopted a number of management objectives to support the restoration and protection of the bay’s living resources. These included numeric chlorophyll a and water-clarity targets, as well as long-term goals addressing the spatial extent of seagrasses and other selected habitat types, to support estuarine-dependent faunal guilds.
Over the past three decades, nitrogen controls involving sources such as wastewater treatment plants, stormwater conveyance systems, fertilizer manufacturing and shipping operations, and power plants have been undertaken to meet these and other management objectives. Cumulatively, these controls have resulted in a 60% reduction in annual total nitrogen (TN) loads relative to earlier worse-case (latter 1970s) conditions. As a result, annual water-clarity and chlorophyll a targets are currently met in most years, and seagrass cover measured in 2008 was the highest recorded since 1950.
Factors that have contributed to the observed improvements in Tampa Bay over the past several decades include the following: (1) Development of numeric, science-based water-quality targets to meet a long-term goal of restoring seagrass acreage to 1950s levels. Empirical and mechanistic models found that annual average chlorophyll a concentrations were a primary manageable factor affecting light attenuation. The models also quantified relationships between TN loads, chlorophyll a concentrations, light attenuation, and fluctuations in seagrass cover. The availability of long-term monitoring data, and a systematic process for using the data to evaluate the effectiveness of management actions, has allowed managers to track progress and make adaptive changes when needed. (2) Citizen involvement, that is, the initial reductions in TN loads, which occurred in the late 1970s and early 1980s, was a result of state regulations that were developed in response to citizens’ call for action. Improved water clarity and better fishing and swimming conditions were identified as primary goals by citizens again in the early 1990s, and led to development of numeric water-quality targets and seagrass restoration goals. More recent citizen actions, from pet waste campaigns to support of reductions in residential fertilizer use, are important elements of the nitrogen management strategy. (3) Collaborative actions, that is, in addition to numerous other collaborative ventures that have benefitted Tampa Bay, the public/private Nitrogen Management Consortium, which includes more than 40 participating organizations, has implemented over 250 nutrient-reduction projects. These projects have addressed stormwater treatment, fertilizer manufacturing and shipping, agricultural practices, reclaimed water use, and atmospheric emissions from local power stations, providing more than 300 tons of TN load reductions since 1995. (4) State and federal regulatory programs, that is, regulatory requirements, such as state statutes and rules requiring compliance with advanced wastewater treatment standards by municipal sewerage works, have played a key role in Tampa Bay management efforts. The technical basis and implementation plan of the Tampa Bay nitrogen management strategy have been developed in cooperation with state and federal regulatory agencies, and the strategy has been recognized by them as an appropriate tool for meeting water-quality standards, including federally mandated total maximum daily loads.
Subsequent management efforts have focused on maintaining and extending those improvements in Tampa Bay’s environmental resources by addressing water and sediment quality and habitat protection and restoration. Implementation of a collaborative, watershed-based management process, driven by an integrated science approach, has played a central role in supporting progress toward the achievement of science-based estuary management goals.
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Margarida","contributorId":149205,"corporation":false,"usgs":false,"family":"Valverde","given":"Margarida","email":"","affiliations":[],"preferred":false,"id":577298,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577295,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034877,"text":"70034877 - 2011 - Observations of coarse sediment movements on the mixed beach of the Elwha Delta, Washington","interactions":[],"lastModifiedDate":"2021-03-10T12:51:08.626829","indexId":"70034877","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Observations of coarse sediment movements on the mixed beach of the Elwha Delta, Washington","docAbstract":"Mixed beaches, with poorly sorted grains of multiple sizes, are a common and globally distributed shoreline type. Despite this, rates and mechanisms of sediment transport on mixed beaches are poorly understood. A series of tracer deployments using native clasts implanted with Radio Frequency Identifier (RFID) tags was used to develop a better understanding of sediment transport directions and magnitudes on the mixed grain-size beach of the Elwha River delta. Using tracer samples selected to match the distribution of the coarse fraction on the beach we find that all grain sizes, up to large cobbles (128–256 mm), were mobile under most measured wave conditions and move in relationship to the direction of the alongshore component of wave energy as estimated by incident breaking wave angles. In locations where the breaking wave is normal to the shoreline we find that tracers move in both alongshore directions with approximately equal frequency. In locations where breaking waves are oblique to the shoreline we find that alongshore transport is more unidirectional and tracers can approach average velocities of 100 m/day under winter wave conditions. We use the tracer cloud to estimate the beach active width, the mobile layer depth and sediment velocity. Our results suggest that, while sediment velocity increases under increased incident wave angles, the active layer depth and width decrease, reducing sediment flux at the site with the more oblique breaking waves. This result is contrary to what is suggested by traditional wave energy transport models of alongshore sediment transport.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.02.012","issn":"00253227","usgsCitation":"Miller, I., Warrick, J.A., and Morgan, C., 2011, Observations of coarse sediment movements on the mixed beach of the Elwha Delta, Washington: Marine Geology, v. 282, no. 3-4, p. 201-214, https://doi.org/10.1016/j.margeo.2011.02.012.","productDescription":"14 p.","startPage":"201","endPage":"214","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":243429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.695068359375,\n 48.08174889040687\n ],\n [\n -123.36822509765625,\n 48.08174889040687\n ],\n [\n -123.36822509765625,\n 48.19721822655714\n ],\n [\n -123.695068359375,\n 48.19721822655714\n ],\n [\n -123.695068359375,\n 48.08174889040687\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"282","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6a89e4b0c8380cd7420d","contributors":{"authors":[{"text":"Miller, I.M.","contributorId":73031,"corporation":false,"usgs":true,"family":"Miller","given":"I.M.","affiliations":[],"preferred":false,"id":448114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":448113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, C.","contributorId":94489,"corporation":false,"usgs":true,"family":"Morgan","given":"C.","affiliations":[],"preferred":false,"id":448115,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035841,"text":"70035841 - 2011 - Geologic framework influences on the geomorphology of an anthropogenically modified barrier island: Assessment of dune/beach changes at Fire Island, New York","interactions":[],"lastModifiedDate":"2021-02-09T18:52:39.572504","indexId":"70035841","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic framework influences on the geomorphology of an anthropogenically modified barrier island: Assessment of dune/beach changes at Fire Island, New York","docAbstract":"Antecedent geology plays a crucial role in determining the inner-shelf, nearshore, and onshore geomorphology observed in coastal systems. However, the influence of the geologic framework on a system is difficult to extract when evaluating responses to changes due to storms and anthropogenic modifications, and few studies have quantified the potential for these influences in dune/beach environments. This study evaluates topographic change to the dune/beach system at Fire Island, New York over a ten year period (1998-2008) at two sites representing eastern and western reaches of the island where morphology has been shown to vary. The sites are situated along swaths of coast eroding differentially and where the inner shelf geologic framework differs substantially. Fewer large storms occurred in the first half of the study period, compared with the later part of the study period which includes several severe and prolonged extratropical storms. Additionally, a major beach replenishment project was conducted at one of the study sites. Topographic data from LiDAR and RTK GPS surveys are used to construct high-resolution 3D surfaces, which are used to determine volumetric change and to extract 2D alongshore features and profiles for analysis. The study sites help to further characterize morphologic differences between eastern and western reaches of the island. The western site displays higher sand volumes, lower dunes, and a lower gradient profile slope when compared with the eastern site. In addition to these fundamental morphologic differences, the two sites also differ significantly in their response to coastal storms and in the fact that their replenishment histories are different. The replenished areas show reduced vulnerability to storms through minimal volume loss and shoreline accretion that should be considered when evaluating the response of replenished areas to episodic events. We propose that site-specific differences evident throughout the study period can be linked to alongshore variations in the framework geology of the system. Anthropogenic modifications may have intensified differences already inherent in the system.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2010.10.032","issn":"0169555X","usgsCitation":"Lentz, E.E., and Hapke, C., 2011, Geologic framework influences on the geomorphology of an anthropogenically modified barrier island: Assessment of dune/beach changes at Fire Island, New York: Geomorphology, v. 126, no. 1-2, p. 82-96, https://doi.org/10.1016/j.geomorph.2010.10.032.","productDescription":"15 p.","startPage":"82","endPage":"96","ipdsId":"IP-018439","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244339,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216468,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2010.10.032"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.24722290039062,\n 40.66813955408042\n ],\n [\n -73.21563720703125,\n 40.61082491956405\n ],\n [\n -72.83798217773438,\n 40.71707851579789\n ],\n [\n -72.88604736328125,\n 40.76702162667872\n ],\n [\n -73.24722290039062,\n 40.66813955408042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a196ae4b0c8380cd5599e","contributors":{"authors":[{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":452689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hapke, Cheryl 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":139949,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":452690,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035395,"text":"70035395 - 2011 - Potential increase in floods in California's Sierra Nevada under future climate projections","interactions":[],"lastModifiedDate":"2021-02-24T19:19:07.269921","indexId":"70035395","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Potential increase in floods in California's Sierra Nevada under future climate projections","docAbstract":"California’s mountainous topography, exposure to occasional heavily moisture-laden storm systems, and varied communities and infrastructures in low lying areas make it highly vulnerable to floods. An important question facing the state—in terms of protecting the public and formulating water management responses to climate change—is “how might future climate changes affect flood characteristics in California?” To help address this, we simulate floods on the western slopes of the Sierra Nevada Mountains, the state’s primary catchment, based on downscaled daily precipitation and temperature projections from three General Circulation Models (GCMs). These climate projections are fed into the Variable Infiltration Capacity (VIC) hydrologic model, and the VIC-simulated streamflows and hydrologic conditions, from historical and from projected climate change runs, allow us to evaluate possible changes in annual maximum 3-day flood magnitudes and frequencies of floods. By the end of the 21st Century, all projections yield larger-than-historical floods, for both the Northern Sierra Nevada (NSN) and for the Southern Sierra Nevada (SSN). The increases in flood magnitude are statistically significant (at p <= 0.01) for all the three GCMs in the period 2051–2099. The frequency of flood events above selected historical thresholds also increases under projections from CNRM CM3 and NCAR PCM1 climate models, while under the third scenario, GFDL CM2.1, frequencies remain constant or decline slightly, owing to an overall drying trend. These increases appear to derive jointly from increases in heavy precipitation amount, storm frequencies, and days with more precipitation falling as rain and less as snow. Increases in antecedent winter soil moisture also play a role in some areas. Thus, a complex, as-yet unpredictable interplay of several different climatic influences threatens to cause increased flood hazards in California’s complex western Sierra landscapes.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10584-011-0298-z","issn":"01650009","usgsCitation":"Das, T., Dettinger, M.D., Cayan, D., and Hidalgo, H., 2011, Potential increase in floods in California's Sierra Nevada under future climate projections: Climatic Change, v. 109, no. SUPPL. 1, p. 71-94, https://doi.org/10.1007/s10584-011-0298-z.","productDescription":"24 p.","startPage":"71","endPage":"94","costCenters":[],"links":[{"id":487253,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://link.springer.com/article/10.1007%2Fs10584-011-0298-z","text":"External Repository"},{"id":243019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215230,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0298-z"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.0146484375,\n 41.96765920367816\n ],\n [\n -122.6953125,\n 42.032974332441405\n ],\n [\n -122.82714843749999,\n 39.605688178320804\n ],\n [\n -122.16796875,\n 38.51378825951165\n ],\n [\n -120.0146484375,\n 36.94989178681327\n ],\n [\n -118.564453125,\n 37.996162679728116\n ],\n [\n -120.0146484375,\n 38.85682013474361\n ],\n [\n -120.0146484375,\n 41.96765920367816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationDate":"2011-11-24","publicationStatus":"PW","scienceBaseUri":"505a7f43e4b0c8380cd7aa11","contributors":{"authors":[{"text":"Das, T.","contributorId":99383,"corporation":false,"usgs":true,"family":"Das","given":"T.","email":"","affiliations":[],"preferred":false,"id":450453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":450452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":450450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hidalgo, H.G.","contributorId":81229,"corporation":false,"usgs":true,"family":"Hidalgo","given":"H.G.","email":"","affiliations":[],"preferred":false,"id":450451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034431,"text":"70034431 - 2011 - Stratigraphic, sedimentologic, and dendrogeomorphic analyses of rapid floodplain formation along the Rio Grande in Big Bend National Park, Texas","interactions":[],"lastModifiedDate":"2022-01-21T12:16:44.478023","indexId":"70034431","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphic, sedimentologic, and dendrogeomorphic analyses of rapid floodplain formation along the Rio Grande in Big Bend National Park, Texas","docAbstract":"The channel of the lower Rio Grande in the Big Bend region rapidly narrows during years of low mean and peak flow. We conducted stratigraphic, sedimentologic, and dendrogeomorphic analyses within two long floodplain trenches to precisely reconstruct the timing and processes of recent floodplain formation. We show that the channel of the Rio Grande narrowed through the oblique and vertical accretion of inset floodplains following channel-widening floods in 1978 and 1990–1991. Vertical accretion occurred at high rates, ranging from 16 to 35 cm/yr.
Dendrogeomorphic analyses show that the onset of channel narrowing occurred during low-flow years when channel bars obliquely and vertically accreted fine sediment. This initial stage of accretion occurred by both bed-load and suspended-load deposition within the active channel. Vegetation became established on top of these fine-grained deposits during years of low peak flow and stabilized these developing surfaces. Subsequent deposition by moderate floods (between 1.5 and 7 yr recurrence intervals) caused additional accretion at rapid rates. Suspended-sediment deposition was dominant in the upper deposits, resulting in the formation of natural levees at the channel margins and the deposition of horizontally bedded, fining-upward deposits in the floodplain trough. Overall, channel narrowing and floodplain formation occurred through an evolution from active-channel to floodplain depositional processes. High-resolution dendrogeomorphic analyses provide the ability to specifically correlate the flow record to the onset of narrowing, the establishment of riparian vegetation, the formation of natural levees, and ultimately, the conversion of portions of the active channel to floodplains.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B30379.1","issn":"00167606","usgsCitation":"Dean, D.J., Scott, L.J., Shafroth, P.B., and Schmidt, J.C., 2011, Stratigraphic, sedimentologic, and dendrogeomorphic analyses of rapid floodplain formation along the Rio Grande in Big Bend National Park, Texas: Geological Society of America Bulletin, v. 123, no. 9-10, p. 1908-1925, https://doi.org/10.1130/B30379.1.","productDescription":"18 p.","startPage":"1908","endPage":"1925","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":244409,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Big Bend National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.64453124999999,\n 28.806173508854776\n ],\n [\n -101.953125,\n 28.806173508854776\n ],\n [\n -101.953125,\n 30.977609093348686\n ],\n [\n -105.64453124999999,\n 30.977609093348686\n ],\n [\n -105.64453124999999,\n 28.806173508854776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2011-06-24","publicationStatus":"PW","scienceBaseUri":"505b9972e4b08c986b31c41b","contributors":{"authors":[{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":445755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Linda J. lscott@usgs.gov","contributorId":1565,"corporation":false,"usgs":true,"family":"Scott","given":"Linda","email":"lscott@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":445754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":445753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":445752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035331,"text":"70035331 - 2011 - The dynamics, transmission, and population impacts of avian malaria in native hawaiian birds: A modeling approach","interactions":[],"lastModifiedDate":"2021-02-24T20:50:15.383195","indexId":"70035331","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The dynamics, transmission, and population impacts of avian malaria in native hawaiian birds: A modeling approach","docAbstract":"We developed an epidemiological model of avian malaria (Plasmodium relictum) across an altitudinal gradient on the island of Hawaii that includes the dynamics of the host, vector, and parasite. This introduced mosquito‐borne disease is hypothesized to have contributed to extinctions and major shifts in the altitudinal distribution of highly susceptible native forest birds. Our goal was to better understand how biotic and abiotic factors influence the intensity of malaria transmission and impact on susceptible populations of native Hawaiian forest birds. Our model illustrates key patterns in the malaria–forest bird system: high malaria transmission in low‐elevation forests with minor seasonal or annual variation in infection; episodic transmission in mid‐elevation forests with site‐to‐site, seasonal, and annual variation depending on mosquito dynamics; and disease refugia in high‐elevation forests with only slight risk of infection during summer. These infection patterns are driven by temperature and rainfall effects on parasite incubation period and mosquito dynamics across an elevational gradient and the availability of larval habitat, especially in mid‐elevation forests. The results from our model suggest that disease is likely a key factor in causing population decline or restricting the distribution of many susceptible Hawaiian species and preventing the recovery of other vulnerable species. The model also provides a framework for the evaluation of factors influencing disease transmission and alternative disease control programs, and to evaluate the impact of climate change on disease cycles and bird populations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1311.1","issn":"10510761","usgsCitation":"Samuel, M.D., Hobbelen, P., Decastro, F., Ahumada, J.A., Lapointe, D., Atkinson, C.T., Woodworth, B.L., Hart, P., and Duffy, D., 2011, The dynamics, transmission, and population impacts of avian malaria in native hawaiian birds: A modeling approach: Ecological Applications, v. 21, no. 8, p. 2960-2973, https://doi.org/10.1890/10-1311.1.","productDescription":"14 p.","startPage":"2960","endPage":"2973","costCenters":[],"links":[{"id":502575,"rank":10001,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/the-dynamics-transmission-and-population-impacts-of-avian-malaria","text":"External Repository"},{"id":486673,"rank":10000,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1475TVO","text":"USGS data release","linkHelpText":"Island of Hawaii forest bird malaria infection data 2001-2005"},{"id":243009,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215222,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1311.1"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.94970703125,\n 18.083200903334312\n ],\n [\n -153.80859375,\n 18.083200903334312\n ],\n [\n -153.80859375,\n 23.019076187293035\n ],\n [\n -160.94970703125,\n 23.019076187293035\n ],\n [\n -160.94970703125,\n 18.083200903334312\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baaece4b08c986b322ad4","contributors":{"authors":[{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":450219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobbelen, P.H.F.","contributorId":94493,"corporation":false,"usgs":true,"family":"Hobbelen","given":"P.H.F.","affiliations":[],"preferred":false,"id":450226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Decastro, F.","contributorId":73429,"corporation":false,"usgs":true,"family":"Decastro","given":"F.","email":"","affiliations":[],"preferred":false,"id":450224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahumada, Jorge A.","contributorId":14788,"corporation":false,"usgs":true,"family":"Ahumada","given":"Jorge","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":450222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":450223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":450220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woodworth, Bethany L.","contributorId":214728,"corporation":false,"usgs":false,"family":"Woodworth","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":450225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hart, P.J.","contributorId":104260,"corporation":false,"usgs":true,"family":"Hart","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":450227,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duffy, D.C.","contributorId":43473,"corporation":false,"usgs":true,"family":"Duffy","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":450221,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70034755,"text":"70034755 - 2011 - Application of the CO2-PENS risk analysis tool to the Rock Springs Uplift, Wyoming","interactions":[],"lastModifiedDate":"2021-04-15T11:43:06.932596","indexId":"70034755","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"title":"Application of the CO2-PENS risk analysis tool to the Rock Springs Uplift, Wyoming","docAbstract":"We describe preliminary application of the CO2-PENS performance and risk analysis tool to a planned geologic CO2 sequestration demonstration project in the Rock Springs Uplift (RSU), located in south western Wyoming. We use data from the RSU to populate CO2-PENS, an evolving system-level modeling tool developed at Los Alamos National Laboratory. This tool has been designed to generate performance and risk assessment calculations for the geologic sequestration of carbon dioxide. Our approach follows Systems Analysis logic and includes estimates of uncertainty in model parameters and Monte-Carlo simulations that lead to probabilistic results. Probabilistic results provide decision makers with a range in the likelihood of different outcomes. Herein we present results from a newly implemented approach in CO2-PENS that captures site-specific spatially coherent details such as topography on the reservoir/cap-rock interface, changes in saturation and pressure during injection, and dip on overlying aquifers that may be impacted by leakage upward through wellbores and faults. We present simulations of CO2 injection under different uncertainty distributions for hypothetical leaking wells and faults. Although results are preliminary and to be used only for demonstration of the approach, future results of the risk analysis will form the basis for a discussion on methods to reduce uncertainty in the risk calculations. Additionally, we present ideas on using the model to help locate monitoring equipment to detect potential leaks. By maintaining site-specific details in the CO2-PENS analysis we provide a tool that allows more logical presentations to stakeholders in the region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.351","issn":"18766102","usgsCitation":"Stauffer, P., Pawar, R., Surdam, R., Jiao, Z., Deng, H., Lettelier, B., Viswanathan, H., Sanzo, D., and Keating, G.N., 2011, Application of the CO2-PENS risk analysis tool to the Rock Springs Uplift, Wyoming: Energy Procedia, v. 4, p. 4084-4091, https://doi.org/10.1016/j.egypro.2011.02.351.","productDescription":"8 p.","startPage":"4084","endPage":"4091","costCenters":[],"links":[{"id":475376,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.351","text":"Publisher Index Page"},{"id":243420,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ecb3e4b0c8380cd4942e","contributors":{"authors":[{"text":"Stauffer, P.H.","contributorId":53783,"corporation":false,"usgs":true,"family":"Stauffer","given":"P.H.","email":"","affiliations":[],"preferred":false,"id":447434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawar, R.J.","contributorId":94518,"corporation":false,"usgs":true,"family":"Pawar","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":447437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Surdam, R.C.","contributorId":40029,"corporation":false,"usgs":true,"family":"Surdam","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":447432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jiao, Z.","contributorId":25373,"corporation":false,"usgs":true,"family":"Jiao","given":"Z.","email":"","affiliations":[],"preferred":false,"id":447430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deng, H.","contributorId":22984,"corporation":false,"usgs":true,"family":"Deng","given":"H.","email":"","affiliations":[],"preferred":false,"id":447429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lettelier, B.C.","contributorId":52418,"corporation":false,"usgs":true,"family":"Lettelier","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":447433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viswanathan, H.S.","contributorId":75773,"corporation":false,"usgs":true,"family":"Viswanathan","given":"H.S.","email":"","affiliations":[],"preferred":false,"id":447435,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanzo, D.L.","contributorId":80106,"corporation":false,"usgs":true,"family":"Sanzo","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":447436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keating, G. N.","contributorId":38236,"corporation":false,"usgs":true,"family":"Keating","given":"G.","middleInitial":"N.","affiliations":[],"preferred":false,"id":447431,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}