A thin layer of fine‐grained sediment commonly is deposited at the sediment–water interface of streams and rivers during low‐flow conditions, and may hinder exchange at the sediment–water interface similar to that observed at many riverbank‐filtration (RBF) sites. Results from a numerical groundwater‐flow model indicate that a low‐permeability veneer reduces the contribution of river water to a pumping well in a riparian aquifer to various degrees, depending on simulated hydraulic gradients, hydrogeological properties, and pumping conditions. Seepage of river water is reduced by 5–10% when a 2‐cm thick, low‐permeability veneer is present on the bed surface. Increasing thickness of the low‐permeability layer to 0·1 m has little effect on distribution of seepage or percentage contribution from the river to the pumping well. A three‐orders‐of‐magnitude reduction in hydraulic conductivity of the veneer is required to reduce seepage from the river to the extent typically associated with clogging at RBF sites. This degree of reduction is much larger than field‐measured values that were on the order of a factor of 20–25. Over 90% of seepage occurs within 12 m of the shoreline closest to the pumping well for most simulations. Virtually no seepage occurs through the thalweg near the shoreline opposite the pumping well, although no low‐permeability sediment was simulated for the thalweg. These results are relevant to natural settings that favour formation of a substantial, low‐permeability sediment veneer, as well as central‐pivot irrigation systems, and municipal water supplies where river seepage is induced via pumping wells.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8153","usgsCitation":"Rosenberry, D.O., and Healy, R.W., 2012, Influence of a thin veneer of low-hydraulic-conductivity sediment on modelled exchange between river water and groundwater in response to induced infiltration: Hydrological Processes, v. 26, no. 4, p. 544-557, https://doi.org/10.1002/hyp.8153.","productDescription":"14 p.","startPage":"544","endPage":"557","ipdsId":"IP-015284","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":384886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Platte River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.57861328125,\n 39.41922073655956\n ],\n [\n -102.041015625,\n 39.41922073655956\n ],\n [\n -102.041015625,\n 41.104190944576466\n ],\n [\n -105.57861328125,\n 41.104190944576466\n ],\n [\n -105.57861328125,\n 39.41922073655956\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"582c2ce6e4b0c253be072c0e","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","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":653601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173612,"text":"70173612 - 2012 - Factors affecting fish biodiversity in floodplain lakes of the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2016-06-09T14:25:11","indexId":"70173612","displayToPublicDate":"2012-02-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting fish biodiversity in floodplain lakes of the Mississippi Alluvial Valley","docAbstract":"River-floodplain ecosystems offer some of the most diverse and dynamic environments in the world. Accordingly, floodplain habitats harbor diverse fish assemblages. Fish biodiversity in floodplain lakes may be influenced by multiple variables operating on disparate scales, and these variables may exhibit a hierarchical organization depending on whether one variable governs another. In this study, we examined the interaction between primary variables descriptive of floodplain lake large-scale features, suites of secondary variables descriptive of water quality and primary productivity, and a set of tertiary variables descriptive of fish biodiversity across a range of floodplain lakes in the Mississippi Alluvial Valley of Mississippi and Arkansas (USA). Lakes varied considerably in their representation of primary, secondary, and tertiary variables. Multivariate direct gradient analyses indicated that lake maximum depth and the percentage of agricultural land surrounding a lake were the most important factors controlling variation in suites of secondary and tertiary variables, followed to a lesser extent by lake surface area. Fish biodiversity was generally greatest in large, deep lakes with lower proportions of watershed agricultural land. Our results may help foster a holistic approach to floodplain lake management and suggest the framework for a feedback model wherein primary variables can be manipulated for conservation and restoration purposes and secondary and tertiary variables can be used to monitor the success of such efforts.
","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s10641-011-9923-y","usgsCitation":"Miranda, L.E., and Dembkowski, D., 2012, Factors affecting fish biodiversity in floodplain lakes of the Mississippi Alluvial Valley: Environmental Biology of Fishes, v. 93, no. 3, p. 357-368, https://doi.org/10.1007/s10641-011-9923-y.","productDescription":"12 p.","startPage":"357","endPage":"368","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030702","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-09","publicationStatus":"PW","scienceBaseUri":"575a9332e4b04f417c275146","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dembkowski, Daniel J.","contributorId":78237,"corporation":false,"usgs":true,"family":"Dembkowski","given":"Daniel J.","affiliations":[],"preferred":false,"id":638247,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007246,"text":"sir20115207 - 2012 - Survey of hydrologic models and hydrologic data needs for tracking flow in the Rio Grande, north-central New Mexico, 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115207","displayToPublicDate":"2012-01-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5207","title":"Survey of hydrologic models and hydrologic data needs for tracking flow in the Rio Grande, north-central New Mexico, 2010","docAbstract":"The six Middle Rio Grande Pueblos have prior and paramount rights to deliveries of water from the Rio Grande for their use. When the pueblos or the Bureau of Indian Affairs Designated Engineer identifies a need for additional flow on the Rio Grande, the Designated Engineer is tasked with deciding the timing and amount of releases of prior and paramount water from storage at El Vado Reservoir to meet the needs of the pueblos. Over the last three decades, numerous models have been developed by Federal, State, and local agencies in New Mexico to simulate, understand, and (or) manage flows in the Middle Rio Grande upstream from Elephant Butte Reservoir. In 2008, the Coalition of Six Middle Rio Grande Basin Pueblos entered into a cooperative agreement with the U.S. Geological Survey to conduct a comprehensive survey of these hydrologic models and their capacity to quantify and track various components of flow. The survey of hydrologic models provided in this report will help water-resource managers at the pueblos, as well as the Designated Engineer, make informed water-resource-management decisions that affect the prior and paramount water use. Analysis of 4 publicly available surface-water models and 13 publicly available groundwater models shows that, although elements from many models can be helpful in tracking flow in the Rio Grande, numerous data gaps and modeling needs indicate that accurate, consistent, and timely tracking of flow on the Rio Grande could be improved. Deficient or poorly constrained hydrologic variables are sources of uncertainty in hydrologic models that can be reduced with the acquisition of more refined data. Data gaps need to be filled to allow hydrologic models to be run on a real-time basis and thus ensure predictable water deliveries to meet needs for irrigation, domestic, stock, and other water uses. Timeliness of flow-data reporting is necessary to facilitate real-time model simulation, but even daily data are sometimes difficult to obtain because the data come from multiple sources. Each surface-water model produces results that could be helpful in quantifying the flow of the Rio Grande, specifically by helping to track water as it moves down the channel of the Rio Grande and by improving the understanding of river hydraulics for the specified reaches. The ability of each surface-water model to track flow on the Rio Grande varies according to the purpose for which each model was designed. The purpose of Upper Rio Grande Water Operations Model (URGWOM) - to simulate water storage and delivery operations in the Rio Grande - is more applicable to tracking flow on the Rio Grande than are any of the other surface-water models surveyed. Specifically, the strengths of URGWOM in relation to modeling flow are the details and attention given to the accounting of Rio Grande flow and San Juan-Chama flow at a daily time step. The most significant difficulty in using any of the surveyed surface-water models for the purpose of predicting the need for requested water releases is that none of the surface-water models surveyed consider water accounting on a real-time basis. Groundwater models that provide detailed simulations of shallow groundwater flow in the vicinity of the Rio Grande can provide large-scale estimates of flow between the Rio Grande and shallow aquifers, which can be an important component of the Rio Grande water budget as a whole. The groundwater models surveyed for this report cannot, however, be expected to provide simulations of flow at time scales of less than the simulated time step (1 month to 1 year in most cases). Of those of the currently used groundwater models, the purpose of model 13 - to simulate the shallow riparian groundwater environment - is the most appropriate for examining local-scale surface-water/groundwater interactions. The basin-scale models, however, are also important in understanding the large-scale water balances between the aquifers and the surface water. In the case of the Upper and Middle Rio Grande Valley, models 6, 10, and 12 are the most accurate and current groundwater models available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115207","collaboration":"Prepared in cooperation with the Coalition of Six Middle Rio Grande Basin Pueblos","usgsCitation":"Tillery, A., and Eggleston, J.R., 2012, Survey of hydrologic models and hydrologic data needs for tracking flow in the Rio Grande, north-central New Mexico, 2010: U.S. Geological Survey Scientific Investigations Report 2011-5207, vii, 39 p., https://doi.org/10.3133/sir20115207.","productDescription":"vii, 39 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":116455,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5207.gif"},{"id":115750,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5207/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator, zone 13","datum":"North American Datum of 1988","country":"United States","state":"Colorado;New Mexico","otherGeospatial":"Rio Grande Basin;Elephant Butte Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105,33 ], [ -105,39 ], [ -109,39 ], [ -109,33 ], [ -105,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba295e4b08c986b31f7e8","contributors":{"authors":[{"text":"Tillery, Anne","contributorId":16120,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","affiliations":[],"preferred":false,"id":356177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleston, Jack R.","contributorId":20011,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":356178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007105,"text":"70007105 - 2012 - A caveat regarding diatom-inferred nitrogen concentrations in oligotrophic lakes","interactions":[],"lastModifiedDate":"2021-01-04T18:07:50.71384","indexId":"70007105","displayToPublicDate":"2012-01-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"A caveat regarding diatom-inferred nitrogen concentrations in oligotrophic lakes","docAbstract":"Atmospheric deposition of reactive nitrogen (Nr) has enriched oligotrophic lakes with nitrogen (N) in many regions of the world and elicited dramatic changes in diatom community structure. The lakewater concentrations of nitrate that cause these community changes remain unclear, raising interest in the development of diatom-based transfer functions to infer nitrate. We developed a diatom calibration set using surface sediment samples from 46 high-elevation lakes across the Rocky Mountains of the western US, a region spanning an N deposition gradient from very low to moderate levels (<1 to 3.2 kg Nr ha−1 year−1 in wet deposition). Out of the fourteen measured environmental variables for these 46 lakes, ordination analysis identified that nitrate, specific conductance, total phosphorus, and hypolimnetic water temperature were related to diatom distributions. A transfer function was developed for nitrate and applied to a sedimentary diatom profile from Heart Lake in the central Rockies. The model coefficient of determination (bootstrapping validation) of 0.61 suggested potential for diatom-inferred reconstructions of lakewater nitrate concentrations over time, but a comparison of observed versus diatom-inferred nitrate values revealed the poor performance of this model at low nitrate concentrations. Resource physiology experiments revealed that nitrogen requirements of two key taxa were opposite to nitrate optima defined in the transfer function. Our data set reveals two underlying ecological constraints that impede the development of nitrate transfer functions in oligotrophic lakes: (1) even in lakes with nitrate concentrations below quantification (<1 μg L−1), diatom assemblages were already dominated by species indicative of moderate N enrichment; (2) N-limited oligotrophic lakes switch to P limitation after receiving only modest inputs of reactive N, shifting the controls on diatom species changes along the length of the nitrate gradient. These constraints suggest that quantitative inferences of nitrate from diatom assemblages will likely require experimental approaches.
","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10933-011-9576-z","usgsCitation":"Arnett, H.A., Saros, J.E., and Mast, M.A., 2012, A caveat regarding diatom-inferred nitrogen concentrations in oligotrophic lakes: Journal of Paleolimnology, v. 47, no. 2, p. 277-291, https://doi.org/10.1007/s10933-011-9576-z.","productDescription":"15 p.","startPage":"277","endPage":"291","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":204684,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.02636718749999,\n 37.17782559332976\n ],\n [\n -102.41455078125,\n 37.17782559332976\n ],\n [\n -102.41455078125,\n 48.980216985374994\n ],\n [\n -117.02636718749999,\n 48.980216985374994\n ],\n [\n -117.02636718749999,\n 37.17782559332976\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-01-10","publicationStatus":"PW","scienceBaseUri":"5059e33ce4b0c8380cd45ecc","contributors":{"authors":[{"text":"Arnett, Heather A.","contributorId":74141,"corporation":false,"usgs":true,"family":"Arnett","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":355826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saros, Jasmine E.","contributorId":29958,"corporation":false,"usgs":true,"family":"Saros","given":"Jasmine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":355825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007247,"text":"70007247 - 2012 - Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-;atmosphere–wave–sediment transport (COAWST) modeling system","interactions":[],"lastModifiedDate":"2017-04-06T15:04:03","indexId":"70007247","displayToPublicDate":"2012-01-27T09:39:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2925,"text":"Ocean Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-;atmosphere–wave–sediment transport (COAWST) modeling system","docAbstract":"The coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system was used to investigate atmosphere–ocean–wave interactions in November 2009 during Hurricane Ida and its subsequent evolution to Nor'Ida, which was one of the most costly storm systems of the past two decades. One interesting aspect of this event is that it included two unique atmospheric extreme conditions, a hurricane and a nor'easter storm, which developed in regions with different oceanographic characteristics. Our modeled results were compared with several data sources, including GOES satellite infrared data, JASON-1 and JASON-2 altimeter data, CODAR measurements, and wave and tidal information from the National Data Buoy Center (NDBC) and the National Tidal Database. By performing a series of numerical runs, we were able to isolate the effect of the interaction terms between the atmosphere (modeled with Weather Research and Forecasting, the WRF model), the ocean (modeled with Regional Ocean Modeling System (ROMS)), and the wave propagation and generation model (modeled with Simulating Waves Nearshore (SWAN)). Special attention was given to the role of the ocean surface roughness. Three different ocean roughness closure models were analyzed: DGHQ (which is based on wave age), TY2001 (which is based on wave steepness), and OOST (which considers both the effects of wave age and steepness). Including the ocean roughness in the atmospheric module improved the wind intensity estimation and therefore also the wind waves, surface currents, and storm surge amplitude. For example, during the passage of Hurricane Ida through the Gulf of Mexico, the wind speeds were reduced due to wave-induced ocean roughness, resulting in better agreement with the measured winds. During Nor'Ida, including the wave-induced surface roughness changed the form and dimension of the main low pressure cell, affecting the intensity and direction of the winds. The combined wave age- and wave steepness-based parameterization (OOST) provided the best results for wind and wave growth prediction. However, the best agreement between the measured (CODAR) and computed surface currents and storm surge values was obtained with the wave steepness-based roughness parameterization (TY2001), although the differences obtained with respect to DGHQ were not significant. The influence of sea surface temperature (SST) fields on the atmospheric boundary layer dynamics was examined; in particular, we evaluated how the SST affects wind wave generation, surface currents and storm surges. The integrated hydrograph and integrated wave height, parameters that are highly correlated with the storm damage potential, were found to be highly sensitive to the ocean surface roughness parameterization.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ocean Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ocemod.2011.12.008","usgsCitation":"Olabarrieta, M., Warner, J., Armstrong, B., Zambon, J.B., and He, R., 2012, Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-;atmosphere–wave–sediment transport (COAWST) modeling system: Ocean Modelling, v. 43-44, p. 112-137, https://doi.org/10.1016/j.ocemod.2011.12.008.","productDescription":"26 p.","startPage":"112","endPage":"137","numberOfPages":"25","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474584,"rank":101,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5124","text":"External Repository"},{"id":204581,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115753,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.ocemod.2011.12.008","linkFileType":{"id":5,"text":"html"}}],"volume":"43-44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6c98e4b0c8380cd74ce7","contributors":{"authors":[{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":81631,"corporation":false,"usgs":true,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":356183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":356179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":5897,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy N.","email":"barmstrong@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":356180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zambon, Joseph B.","contributorId":8222,"corporation":false,"usgs":true,"family":"Zambon","given":"Joseph","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":356181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"He, Ruoying","contributorId":68029,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":356182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70007235,"text":"gip137 - 2012 - GloVis","interactions":[],"lastModifiedDate":"2012-02-02T00:15:56","indexId":"gip137","displayToPublicDate":"2012-01-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"137","title":"GloVis","docAbstract":"The Global Visualization Viewer (GloVis) trifold provides basic information for online access to a subset of satellite and aerial photography collections from the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center archive. The GloVis (http://glovis.usgs.gov/) browser-based utility allows users to search and download National Aerial Photography Program (NAPP), National High Altitude Photography (NHAP), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Earth Observing-1 (EO-1), Global Land Survey, Moderate Resolution Imaging Spectroradiometer (MODIS), and TerraLook data. Minimum computer system requirements and customer service contact information also are included in the brochure.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip137","usgsCitation":"Houska, T., and Johnson, A., 2012, GloVis: U.S. Geological Survey General Information Product 137, 2 p., https://doi.org/10.3133/gip137.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":116454,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_137.jpg"},{"id":115721,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/137/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a292ee4b0c8380cd5a71d","contributors":{"authors":[{"text":"Houska, Treva R. 0000-0002-4358-6131","orcid":"https://orcid.org/0000-0002-4358-6131","contributorId":45460,"corporation":false,"usgs":true,"family":"Houska","given":"Treva R.","affiliations":[],"preferred":false,"id":356155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, A.P.","contributorId":22495,"corporation":false,"usgs":true,"family":"Johnson","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":356154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007222,"text":"sir20125005 - 2012 - A comparison of consumptive-use estimates derived from the simplified surface energy balance approach and indirect reporting methods","interactions":[],"lastModifiedDate":"2017-03-29T14:26:09","indexId":"sir20125005","displayToPublicDate":"2012-01-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5005","title":"A comparison of consumptive-use estimates derived from the simplified surface energy balance approach and indirect reporting methods","docAbstract":"Recent advances in remote-sensing technology and Simplified Surface Energy Balance (SSEB) methods can provide accurate and repeatable estimates of evapotranspiration (ET) when used with satellite observations of irrigated lands. Estimates of ET are generally considered equivalent to consumptive use (CU) because they represent the part of applied irrigation water that is evaporated, transpired, or otherwise not available for immediate reuse. The U.S. Geological Survey compared ET estimates from SSEB methods to CU data collected for 1995 using indirect methods as part of the National Water Use Information Program (NWUIP). Ten-year (2000-2009) average ET estimates from SSEB methods were derived using Moderate Resolution Imaging Spectroradiometer (MODIS) 1-kilometer satellite land surface temperature and gridded weather datasets from the Global Data Assimilation System (GDAS). County-level CU estimates for 1995 were assembled and referenced to 1-kilometer grid cells to synchronize with the SSEB ET estimates. Both datasets were seasonally and spatially weighted to represent the irrigation season (June-September) and those lands that were identified in the county as irrigated. A strong relation (R2 greater than 0.7) was determined between NWUIP CU and SSEB ET data. Regionally, the relation is stronger in arid western states than in humid eastern states, and positive and negative biases are both present at state-level comparisons. SSEB ET estimates can play a major role in monitoring and updating county-based CU estimates by providing a quick and cost-effective method to detect major year-to-year changes at county levels, as well as providing a means to disaggregate county-based ET estimates to sub-county levels. More research is needed to identify the causes for differences in state-based relations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125005","collaboration":"Groundwater Resources Program","usgsCitation":"Maupin, M.A., Senay, G., Kenny, J., and Savoca, M.E., 2012, A comparison of consumptive-use estimates derived from the simplified surface energy balance approach and indirect reporting methods: U.S. Geological Survey Scientific Investigations Report 2012-5005, iv, 8 p., https://doi.org/10.3133/sir20125005.","productDescription":"iv, 8 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":116452,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5005.jpg"},{"id":115711,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5005/","linkFileType":{"id":5,"text":"html"}},{"id":338663,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5005/pdf/sir20125005.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e359e4b0c8380cd45fa9","contributors":{"authors":[{"text":"Maupin, Molly A. 0000-0002-2695-5505 mamaupin@usgs.gov","orcid":"https://orcid.org/0000-0002-2695-5505","contributorId":951,"corporation":false,"usgs":true,"family":"Maupin","given":"Molly","email":"mamaupin@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":66808,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","affiliations":[],"preferred":false,"id":356133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenny, Joan F.","contributorId":69132,"corporation":false,"usgs":true,"family":"Kenny","given":"Joan F.","affiliations":[],"preferred":false,"id":356134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savoca, Mark E. mesavoca@usgs.gov","contributorId":1961,"corporation":false,"usgs":true,"family":"Savoca","given":"Mark","email":"mesavoca@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007223,"text":"sim3190 - 2012 - Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"sim3190","displayToPublicDate":"2012-01-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3190","title":"Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado","docAbstract":"The efficacy of airborne spectroscopic, or \"hyperspectral,\" remote sensing for geoenvironmental watershed evaluations and deposit-scale mapping of exposed mineral deposits has been demonstrated. However, the acquisition, processing, and analysis of such airborne data at regional and national scales can be time and cost prohibitive. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor carried by the NASA Earth Observing System Terra satellite was designed for mineral mapping and the acquired data can be efficiently used to generate uniform mineral maps over very large areas. Multispectral remote sensing data acquired by the ASTER sensor were analyzed to identify and map minerals, mineral groups, hydrothermal alteration types, and vegetation groups in the western San Juan Mountains, Colorado, including the Silverton and Lake City calderas. This mapping was performed in support of multidisciplinary studies involving the predictive modeling of surface water geochemistry at watershed and regional scales. Detailed maps of minerals, vegetation groups, and water were produced from an ASTER scene using spectroscopic, expert system-based analysis techniques which have been previously described. New methodologies are presented for the modeling of hydrothermal alteration type based on the Boolean combination of the detailed mineral maps, and for the entirely automated mapping of alteration types, mineral groups, and green vegetation. Results of these methodologies are compared with the more detailed maps and with previously published mineral mapping results derived from analysis of high-resolution spectroscopic data acquired by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor. Such comparisons are also presented for other mineralized and (or) altered areas including the Goldfield and Cuprite mining districts, Nevada and the central Marysvale volcanic field, Wah Wah Mountains, and San Francisco Mountains, Utah. The automated mineral group mapping products described in this study are ideal for application to mineral resource and mineral-environmental assessments at regional and national scales.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3190","usgsCitation":"Rockwell, B.W., 2012, Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado: U.S. Geological Survey Scientific Investigations Map 3190, Pamphlet: v, 35 p. ;5 Sheets; Sheet 1: 32 inches x 39 inches; Sheet 2: 32 inches x 39 inches; Sheet 3: 32 inches x 39 inches; Sheet 4: 32 inches x 39 inches; Sheet 5: 32 inches x 39 inches; Metadata; Additional Data, https://doi.org/10.3133/sim3190.","productDescription":"Pamphlet: v, 35 p. ;5 Sheets; Sheet 1: 32 inches x 39 inches; Sheet 2: 32 inches x 39 inches; Sheet 3: 32 inches x 39 inches; Sheet 4: 32 inches x 39 inches; Sheet 5: 32 inches x 39 inches; Metadata; Additional Data","numberOfPages":"35","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116450,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3190.png"},{"id":115712,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3190/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","country":"United States","state":"Colorado","otherGeospatial":"San Juan Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,37.46666666666667 ], [ -108,38.083333333333336 ], [ -107.15,38.083333333333336 ], [ -107.15,37.46666666666667 ], [ -108,37.46666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059feeee4b0c8380cd4efbb","contributors":{"authors":[{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":356135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70007228,"text":"ds657 - 2012 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2006-10","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"ds657","displayToPublicDate":"2012-01-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"657","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2006-10","docAbstract":"The Cedar River alluvial aquifer is the primary source of municipal water in the Cedar Rapids, Iowa area. Municipal wells are completed in the alluvial aquifer approximately 40 to 80 feet below land surface. The City of Cedar Rapids and the U.S. Geological Survey have been conducting a cooperative study of the groundwater-flow system and water quality of the aquifer since 1992. Cooperative reports between the City of Cedar Rapids and the U.S. Geological Survey have documented hydrologic and water-quality data, geochemistry, and groundwater models. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, surface-water-groundwater interaction, and pesticides in groundwater and surface water. Water-quality analyses were conducted for major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, and sulfate), nutrients (ammonia as nitrogen, nitrite as nitrogen, nitrite plus nitrate as nitrogen, and orthophosphate as phosphorus), dissolved organic carbon, and selected pesticides including two degradates of the herbicide atrazine. Physical characteristics (alkalinity, dissolved oxygen, pH, specific conductance and water temperature) were measured in the field and recorded for each water sample collected. This report presents the results of routine water-quality data-collection activities from January 2006 through December 2010. Methods of data collection, quality-assurance, and water-quality analyses are presented. Data include the results of water-quality analyses from quarterly sampling from monitoring wells, municipal wells, and the Cedar River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds657","collaboration":"Prepared in cooperation with the City of Cedar Rapids","usgsCitation":"Littin, G.R., 2012, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2006-10: U.S. Geological Survey Data Series 657, vi, 32 p., https://doi.org/10.3133/ds657.","productDescription":"vi, 32 p.","onlineOnly":"Y","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":116449,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_657.jpg"},{"id":115710,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/657/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Iowa","county":"Linn","city":"Cedar Rapids","otherGeospatial":"Cedar River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.75,41.96666666666667 ], [ -91.75,42.03333333333333 ], [ -91.66666666666667,42.03333333333333 ], [ -91.66666666666667,41.96666666666667 ], [ -91.75,41.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8cc3e4b08c986b3180ef","contributors":{"authors":[{"text":"Littin, Gregory R. grlittin@usgs.gov","contributorId":1732,"corporation":false,"usgs":true,"family":"Littin","given":"Gregory","email":"grlittin@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":356146,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70118322,"text":"70118322 - 2012 - Inflation rates, rifts, and bands in a pāhoehoe sheet flow","interactions":[],"lastModifiedDate":"2019-05-30T12:33:11","indexId":"70118322","displayToPublicDate":"2012-01-23T13:30:09","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Inflation rates, rifts, and bands in a pāhoehoe sheet flow","docAbstract":"The margins of sheet flows—pāhoehoe lavas emplaced on surfaces sloping <2°—are typically delineated by structures that form to accommodate vertical flow inflation. We refer to these structures as inflation rifts. The surfaces of inflation rifts almost always exhibit bands of varying color and texture. Various explanations for the bands have been proposed, but active band formation has never been documented. In order to test our hypothesis that banding is caused by changes in the inflation rate, we collected time-lapse photographs of the margin of an actively inflating flow and simultaneously measured the height of the flow with an extensometer. Data collected over a period of ∼1 d indicate that the height of the flow margin changed in a stepwise manner and that rate changes correlate with band formation. This confirms our hypothesis.
\nInflation and rift-band formation is probably cyclic, because the pattern we observed suggests episodic or crude cyclic behavior. Furthermore, some inflation rifts contain numerous bands whose spacing and general appearances are remarkably similar.
\nWe propose a conceptual model wherein the inferred cyclicity is due to the competition between the fluid pressure in the flow's liquid core and the tensile strength of the viscoelastic layer where it is weakest—in inflation rifts. The viscoelastic layer consists of lava that has cooled to temperatures between 800 and 1070 °C. This layer is the key parameter in our model because, in its absence, rift banding and stepwise changes in the flow height would not occur.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00656.1","usgsCitation":"Hoblitt, R.P., Orr, T., Heliker, C., Denlinger, R.P., Hon, K., and Cervelli, P.F., 2012, Inflation rates, rifts, and bands in a pāhoehoe sheet flow: Geosphere, v. 8, no. 1, p. 179-195, https://doi.org/10.1130/GES00656.1.","productDescription":"17 p.","startPage":"179","endPage":"195","numberOfPages":"17","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":474585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00656.1","text":"Publisher Index Page"},{"id":291178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291177,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00656.1"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f537e4b0bc0bec0a14d8","contributors":{"authors":[{"text":"Hoblitt, Richard P. rhoblitt@usgs.gov","contributorId":1937,"corporation":false,"usgs":true,"family":"Hoblitt","given":"Richard","email":"rhoblitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":496753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R.","contributorId":86859,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":496757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heliker, Christina","contributorId":53353,"corporation":false,"usgs":true,"family":"Heliker","given":"Christina","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":496756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":496754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hon, Ken","contributorId":19163,"corporation":false,"usgs":true,"family":"Hon","given":"Ken","affiliations":[],"preferred":false,"id":496755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cervelli, Peter F. 0000-0001-6765-1009 pcervelli@usgs.gov","orcid":"https://orcid.org/0000-0001-6765-1009","contributorId":1936,"corporation":false,"usgs":true,"family":"Cervelli","given":"Peter","email":"pcervelli@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496752,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70007145,"text":"70007145 - 2012 - Occupancy modeling and estimation of the holiday darter species complex within the Etowah River system","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"70007145","displayToPublicDate":"2012-01-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy modeling and estimation of the holiday darter species complex within the Etowah River system","docAbstract":"Documenting the status of rare fishes is a crucial step in effectively managing populations and implementing regulatory mechanisms of protection. In recent years, site occupancy has become an increasingly popular metric for assessing populations, but species distribution models that do not account for imperfect detection can underestimate the proportion of sites occupied and the strength of the relationship with a hypothesized covariate. However, valid detection requires temporal or spatial replication, which is often not feasible due to logistical or budget constraints. In this study, we used a method that allowed for spatial replication during a single visit to evaluate the current status of the holiday darter species complex, Etheostoma sp. cf. E. brevirostrum, within the Etowah River system. Moreover, the modeling approach used in this study facilitated comparisons of factors influencing stream occupancy as well as species detection within sites. The results suggest that there is less habitat available for the Etowah holiday darter form (Etheostoma sp. cf. E. brevirostrum B) than for the Amicalola holiday darter form (Etheostoma sp. cf. E. brevirostrum A). Additionally, occupancy models suggest that even small decreases in forest cover within these headwater systems adversely affect holiday darter populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2011.644193","usgsCitation":"Anderson, G.B., Freeman, M., Hagler, M.M., and Freeman, B.J., 2012, Occupancy modeling and estimation of the holiday darter species complex within the Etowah River system: Transactions of the American Fisheries Society, v. 141, no. 1, p. 34-45, https://doi.org/10.1080/00028487.2011.644193.","productDescription":"12 p.","startPage":"34","endPage":"45","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204657,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115661,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2011.644193","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Etowah River System","volume":"141","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-04","publicationStatus":"PW","scienceBaseUri":"505a6b1ce4b0c8380cd74509","contributors":{"authors":[{"text":"Anderson, Gregory B.","contributorId":65988,"corporation":false,"usgs":true,"family":"Anderson","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":355934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":355932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagler, Megan M.","contributorId":88875,"corporation":false,"usgs":true,"family":"Hagler","given":"Megan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":355935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":355933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007169,"text":"ofr20111306 - 2012 - User's guide for mapIMG 3--Map image re-projection software package","interactions":[],"lastModifiedDate":"2012-02-02T00:16:02","indexId":"ofr20111306","displayToPublicDate":"2012-01-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1306","title":"User's guide for mapIMG 3--Map image re-projection software package","docAbstract":"Version 0.0 (1995), Dan Steinwand, U.S. Geological Survey (USGS)/Earth Resources Observation Systems (EROS) Data Center (EDC)--Version 0.0 was a command line version for UNIX that required four arguments: the input metadata, the output metadata, the input data file, and the output destination path. Version 1.0 (2003), Stephen Posch and Michael P. Finn, USGS/Mid-Continent Mapping Center (MCMC--Version 1.0 added a GUI interface that was built using the Qt library for cross platform development. Version 1.01 (2004), Jason Trent and Michael P. Finn, USGS/MCMC--Version 1.01 suggested bounds for the parameters of each projection. Support was added for larger input files, storage of the last used input and output folders, and for TIFF/ GeoTIFF input images. Version 2.0 (2005), Robert Buehler, Jason Trent, and Michael P. Finn, USGS/National Geospatial Technical Operations Center (NGTOC)--Version 2.0 added Resampling Methods (Mean, Mode, Min, Max, and Sum), updated the GUI design, and added the viewer/pre-viewer. The metadata style was changed to XML and was switched to a new naming convention. Version 3.0 (2009), David Mattli and Michael P. Finn, USGS/Center of Excellence for Geospatial Information Science (CEGIS)--Version 3.0 brings optimized resampling methods, an updated GUI, support for less than global datasets, UTM support and the whole codebase was ported to Qt4.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111306","usgsCitation":"Finn, M.P., and Mattli, D.M., 2012, User's guide for mapIMG 3--Map image re-projection software package: U.S. Geological Survey Open-File Report 2011-1306, iv, 12 p., https://doi.org/10.3133/ofr20111306.","productDescription":"iv, 12 p.","startPage":"i","endPage":"12","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":116445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1306.jpg"},{"id":115659,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1306/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbfdae4b08c986b329dd1","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":356015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mattli, David M. dmattli@usgs.gov","contributorId":5606,"corporation":false,"usgs":true,"family":"Mattli","given":"David","email":"dmattli@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":356016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156821,"text":"70156821 - 2012 - Fluid geochemistry of Yucca Mountain and vicinity","interactions":[],"lastModifiedDate":"2015-08-28T16:03:13","indexId":"70156821","displayToPublicDate":"2012-01-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fluid geochemistry of Yucca Mountain and vicinity","docAbstract":"Yucca Mountain, a site in southwest Nevada, has been proposed for a deep underground radioactive waste repository. An extensive database of geochemical and isotopic characteristics has been established for pore waters and gases from the unsaturated zone, perched water, and saturated zone waters in the Yucca Mountain area. The development of this database has been driven by diverse needs of the Yucca Mountain Project, especially those aspects of the project involving process modeling and performance assessment. Water and gas chemistries influence the sorption behavior of radionuclides and the solubility of the radionuclide compounds that form. The chemistry of waters that may infiltrate the proposed repository will be determined in part by that of water present in the unsaturated zone above the proposed repository horizon, whereas pore-water compositions beneath the repository horizon will influence the sorption behavior of the radionuclides transported toward the water table. However, more relevant to the discussion in this chapter, development and testing of conceptual flow and transport models for the Yucca Mountain hydrologic system are strengthened through the incorporation of natural environmental tracer data into the process. Chemical and isotopic data are used to establish bounds on key hydrologic parameters and to provide corroborative evidence for model assumptions and predictions. Examples of specific issues addressed by these data include spatial and temporal variability in net fluxes, the role of faults in controlling flow paths, fracture-matrix interactions, the age and origin of perched water, and the distribution of water traveltimes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydrology and geochemistry of Yucca Mountain and vicinity, Southern Nevada and California","language":"English","publisher":"Geological Society of America","doi":"10.1130/2012.1209(04)","usgsCitation":"Marshall, B.D., Moscati, R.J., and Patterson, G.L., 2012, Fluid geochemistry of Yucca Mountain and vicinity, chap. of Hydrology and geochemistry of Yucca Mountain and vicinity, Southern Nevada and California, p. 143-218, https://doi.org/10.1130/2012.1209(04).","productDescription":"76 p.","startPage":"143","endPage":"218","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":307694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.79702758789061,\n 36.6959520787169\n ],\n [\n -116.79702758789061,\n 37.12857106113289\n ],\n [\n -116.09527587890624,\n 37.12857106113289\n ],\n [\n -116.09527587890624,\n 36.6959520787169\n ],\n [\n -116.79702758789061,\n 36.6959520787169\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f545e4b0bc0bec0a152b","contributors":{"editors":[{"text":"Stuckless, John S. 0000-0002-7536-0444 jstuckless@usgs.gov","orcid":"https://orcid.org/0000-0002-7536-0444","contributorId":4974,"corporation":false,"usgs":true,"family":"Stuckless","given":"John","email":"jstuckless@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":570695,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Marshall, Brian D. 0000-0002-8093-0093 bdmarsha@usgs.gov","orcid":"https://orcid.org/0000-0002-8093-0093","contributorId":520,"corporation":false,"usgs":true,"family":"Marshall","given":"Brian","email":"bdmarsha@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":570692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":570693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Gary L. glpatter@usgs.gov","contributorId":519,"corporation":false,"usgs":true,"family":"Patterson","given":"Gary","email":"glpatter@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":570694,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007126,"text":"fs20113136 - 2012 - Changing Arctic ecosystems--research to understand and project changes in marine and terrestrial ecosystems of the Arctic","interactions":[],"lastModifiedDate":"2018-07-14T14:41:01","indexId":"fs20113136","displayToPublicDate":"2012-01-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3136","title":"Changing Arctic ecosystems--research to understand and project changes in marine and terrestrial ecosystems of the Arctic","docAbstract":"Ecosystems and their wildlife communities are not static; they change and evolve over time due to numerous intrinsic and extrinsic factors. A period of rapid change is occurring in the Arctic for which our current understanding of potential ecosystem and wildlife responses is limited. Changes to the physical environment include warming temperatures, diminishing sea ice, increasing coastal erosion, deteriorating permafrost, and changing water regimes. These changes influence biological communities and the ways in which human communities interact with them. Through the new initiative Changing Arctic Ecosystems (CAE) the U.S. Geological Survey (USGS) strives to (1) understand the potential suite of wildlife population responses to these physical changes to inform key resource management decisions such as those related to the Endangered Species Act, and (2) provide unique insights into how Arctic ecosystems are responding under new stressors. Our studies examine how and why changes in the ice-dominated ecosystems of the Arctic are affecting wildlife and will provide a better foundation for understanding the degree and manner in which wildlife species respond and adapt to rapid environmental change. Changes to Arctic ecosystems will be felt broadly because the Arctic is a production zone for hundreds of species that migrate south for the winter. The CAE initiative includes three major research themes that span Arctic ice-dominated ecosystems and that are structured to identify and understand the linkages between physical processes, ecosystems, and wildlife populations. The USGS is applying knowledge-based modeling structures such as Bayesian Networks to integrate the work.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113136","usgsCitation":"Geiselman, J., DeGange, A.R., Oakley, K., Derksen, D.V., and Whalen, M.E., 2012, Changing Arctic ecosystems--research to understand and project changes in marine and terrestrial ecosystems of the Arctic: U.S. Geological Survey Fact Sheet 2011-3136, 4 p., https://doi.org/10.3133/fs20113136.","productDescription":"4 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":116698,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3136.png"},{"id":112499,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3136/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Arctic","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f43de4b0c8380cd4bc14","contributors":{"authors":[{"text":"Geiselman, Joy","contributorId":84891,"corporation":false,"usgs":true,"family":"Geiselman","given":"Joy","email":"","affiliations":[],"preferred":false,"id":355889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeGange, Anthony R. tdegange@usgs.gov","contributorId":139765,"corporation":false,"usgs":true,"family":"DeGange","given":"Anthony","email":"tdegange@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":355885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oakley, Karen","contributorId":63517,"corporation":false,"usgs":true,"family":"Oakley","given":"Karen","affiliations":[],"preferred":false,"id":355887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":355886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":355888,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70007098,"text":"fs20123005 - 2012 - Watershed modeling applications in south Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:29:11","indexId":"fs20123005","displayToPublicDate":"2012-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3005","title":"Watershed modeling applications in south Texas","docAbstract":"Watershed models can be used to simulate natural and human-altered processes including the flow of water and associated transport of sediment, chemicals, nutrients, and microbial organisms within a watershed. Simulation of these processes is useful for addressing a wide range of water-resource challenges, such as quantifying changes in water availability over time, understanding the effects of development and land-use changes on water resources, quantifying changes in constituent loads and yields over time, and quantifying aquifer recharge temporally and spatially throughout a watershed.
\nThe U.S. Geological Survey (USGS), in cooperation with State and Federal agency partners, developed simulation models for several watersheds in south Texas. These models provide the capability to simulate scenarios of possible future conditions and management alternatives to help water-resource professionals with planning decisions. The program used for creating these Texas watershed models is the Hydrological Simulation Program - FORTRAN (HSPF). HSPF is one of the most comprehensive watershed modeling programs because it can simulate a variety of stream and watershed conditions with reasonable accuracy and enables flexibility in adjusting the model to simulate alternative conditions or scenarios. The HSPF model provides time-series data simulating water movement (runoff from land surfaces, infiltration of water through soil layers, flow in stream channels) and water-quality parameter values and constituent concentrations associated with the water movement at any selected location in the watershed. Time-series outputs from an HSPF simulation are continuous (for example, hourly or daily). Continuous models provide the advantage of simulating watershed processes for a full range of streamflow conditions. Continuous models can illustrate how processes that appreciably affect water-quality conditions during low flows might have relatively minor effects on water-quality conditions during high flows.
\nThis fact sheet presents an overview of six selected watershed modeling studies by the USGS and partners that address a variety of water-resource issues in south Texas. These studies provide examples of modeling applications and demonstrate the usefulness and versatility of watershed models in aiding the understanding of hydrologic systems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123005","usgsCitation":"Pedraza, D.E., and Ockerman, D.J., 2012, Watershed modeling applications in south Texas: U.S. Geological Survey Fact Sheet 2012-3005, 4 p., https://doi.org/10.3133/fs20123005.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3005.gif"},{"id":112455,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3005/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101,25.75 ], [ -101,30.25 ], [ -96,30.25 ], [ -96,25.75 ], [ -101,25.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf76e4b08c986b32e8ed","contributors":{"authors":[{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048870,"text":"70048870 - 2012 - Active transtensional intracontinental basins: Walker Lane in the western Great Basin","interactions":[],"lastModifiedDate":"2014-01-08T15:33:30","indexId":"70048870","displayToPublicDate":"2012-01-08T15:22:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Active transtensional intracontinental basins: Walker Lane in the western Great Basin","docAbstract":"The geometry and dimensions of sedimentary basins within the Walker Lane are a result of Plio-Pleistocene transtensive deformation and partial detachment of the Sierra Nevada crustal block from the North American plate. Distinct morpho-tectonic domains lie within this active transtensive zone. The northeast end of the Walker Lane is partly buried by active volcanism of the southern Cascades, and adjacent basins are filled or poorly developed. To the south, the basin sizes are moderate, 25–45km × 15–10 km, with narrow 8-12km wide mountain ranges mainly oriented N-S to NNE. These basins form subparallel arrays in discrete zones trending about 300° and have documented clockwise rotation. This is succeeded to the south by a releasing stepover domain ∼85-100km wide, where the basins are elongated E-W to ENE, small (∼15-30km long, 5-15km wide), and locally occupied by active volcanic centers. The southernmost part of the Walker Lane is structurally integrated, with high to extreme relief. Adjacent basins are elongate, 50-200km long and ∼5 -20km wide. Variations in transtensive basin orientations in the Walker Lane are largely attributable to variations in strain partitioning. Large basins in the Walker Lane have 2-6km displacement across basin bounding faults with up to 3 km of clastic accumulation based on gravity and drill hole data. The sedimentary deposits of the basins may include interbedded volcanic deposits with bimodal basaltic and rhyolitic associations. The basins may include lacustrine deposits that record a wide range of water chemistry from cold fresh water conditions to saline-evaporative","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics of Sedimentary Basins: Recent Advances","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Hoboken, NJ","doi":"10.1002/9781444347166.ch11","usgsCitation":"Jayko, A.S., and Bursik, M., 2012, Active transtensional intracontinental basins: Walker Lane in the western Great Basin, chap. of Tectonics of Sedimentary Basins: Recent Advances, p. 226-248, https://doi.org/10.1002/9781444347166.ch11.","productDescription":"23 p.","startPage":"226","endPage":"248","numberOfPages":"23","ipdsId":"IP-021533","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":280768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280766,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/9781444347166.ch11"}],"country":"United States","otherGeospatial":"Cascades;Great Basin;Sierra Nevada;Walker Lane","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.0,30.0 ], [ -128.0,45.0 ], [ -109.0,45.0 ], [ -109.0,30.0 ], [ -128.0,30.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-01-30","publicationStatus":"PW","scienceBaseUri":"53cd4b17e4b0b290850f025b","contributors":{"authors":[{"text":"Jayko, Angela S. 0000-0002-7378-0330 ajayko@usgs.gov","orcid":"https://orcid.org/0000-0002-7378-0330","contributorId":2531,"corporation":false,"usgs":true,"family":"Jayko","given":"Angela","email":"ajayko@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":485787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bursik, Marcus","contributorId":36030,"corporation":false,"usgs":true,"family":"Bursik","given":"Marcus","affiliations":[],"preferred":false,"id":485788,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007071,"text":"ofr20111311 - 2012 - Simulated effects of dam removal on water temperatures along the Klamath River, Oregon and California, using 2010 Biological Opinion flow requirements","interactions":[],"lastModifiedDate":"2016-03-25T13:08:08","indexId":"ofr20111311","displayToPublicDate":"2012-01-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1311","title":"Simulated effects of dam removal on water temperatures along the Klamath River, Oregon and California, using 2010 Biological Opinion flow requirements","docAbstract":"Computer model simulations were run to determine the effects of dam removal on water temperatures along the Klamath River, located in south-central Oregon and northern California, using flow requirements defined in the 2010 Biological Opinion of the National Marine Fisheries Service. A one-dimensional, daily averaged water temperature model (River Basin Model-10) developed by the U.S. Environmental Protection Agency Region 10, Seattle, Washington, was used in the analysis. This model had earlier been configured and calibrated for the Klamath River by the U.S. Geological Survey for the U.S. Department of the Interior, Klamath Secretarial Determination to simulate the effects of dam removal on water temperatures for current (2011) and future climate change scenarios. The analysis for this report was performed outside of the scope of the Klamath Secretarial Determination process at the request of the Bureau of Reclamation Technical Services Office, Denver, Colorado.
For this analysis, two dam scenarios were simulated: “dams in” and “dams out.” In the “dams in” scenario, existing dams in the Klamath River were kept in place. In the “dams out” scenario, the river was modeled as a natural stream, without the J.C. Boyle, Copco1, Copco2, and Iron Gate Dams, for the entire simulation period. Output from the two dam scenario simulations included daily water temperatures simulated at 29 locations for a 50-year period along the Klamath River between river mile 253 (downstream of Link River Dam) and the Pacific Ocean. Both simulations used identical flow requirements, formulated in the 2010 Biological Opinion, and identical climate conditions based on the period 1961–2009.
Simulated water temperatures from January through June at almost all locations between J.C. Boyle Reservoir and the Pacific Ocean were higher for the “dams out” scenario than for the “dams in” scenario. The simulated mean monthly water temperature increase was highest [1.7–2.2 degrees Celsius (°C)] in May downstream of Iron Gate Dam. However, from August to December, dam removal generally cooled water temperatures. During these months, water temperatures decreased 1°C or more between Copco Lake and locations 50 miles or more downstream. The greatest mean monthly temperature decrease was 4°C in October just downstream of Iron Gate Dam. Near the ocean, the effects of dam removal were small (less than 0.2°C) for most months. However, the mean November temperature near the ocean was almost 0.5°C cooler with dam removal.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111311","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Risley, J.C., Brewer, S.J., and Perry, R.W., 2012, Simulated effects of dam removal on water temperatures along the Klamath River, Oregon and California, using 2010 Biological Opinion flow requirements: U.S. Geological Survey Open-File Report 2011-1311, iv, 17 p., https://doi.org/10.3133/ofr20111311.","productDescription":"iv, 17 p.","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":116337,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1311.jpg"},{"id":112423,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1311/","linkFileType":{"id":5,"text":"html"}}],"state":"Oregon;California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,40 ], [ -125,43 ], [ -120,43 ], [ -120,40 ], [ -125,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8f91e4b08c986b318fdf","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Scott J. sbrewer@usgs.gov","contributorId":4407,"corporation":false,"usgs":true,"family":"Brewer","given":"Scott","email":"sbrewer@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":355778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":355777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193788,"text":"70193788 - 2012 - Will hunters steward wolves? A comment on Treves and Martin","interactions":[],"lastModifiedDate":"2017-11-08T13:14:26","indexId":"70193788","displayToPublicDate":"2012-01-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3404,"text":"Society & Natural Resources: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Will hunters steward wolves? A comment on Treves and Martin","docAbstract":"As wolf conservation transitions away from federally sponsored protection and recovery toward sustainable management under state fish and game agencies, researchers and policymakers are interested to know what role hunters will play. Based upon hunters' responses to three recent surveys in Wisconsin and the northern Rockies, Treves and Martin question the assumption that hunters will steward wolves, noting that the majority of hunters that responded were unsupportive of wolf conservation. However, this conclusion largely depends upon what is meant by stewardship and what actions are required for wolves to be conserved. This article discusses the meaning of three concepts either explicitly or implicitly discussed by Treves and Martin—tolerance, acceptance, and stewardship—and offers a conceptual model of wildlife conservation behavior that clarifies the relationship among these concepts.
","language":"English","publisher":"Informa UK ","doi":"10.1080/08941920.2011.622735","usgsCitation":"Bruskotter, J.T., and Fulton, D.C., 2012, Will hunters steward wolves? A comment on Treves and Martin: Society & Natural Resources: An International Journal, v. 25, no. 1, p. 97-102, https://doi.org/10.1080/08941920.2011.622735.","productDescription":"6 p.","startPage":"97","endPage":"102","ipdsId":"IP-034032","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425f2e4b0dc0b45b456ed","contributors":{"authors":[{"text":"Bruskotter, Jeremy T.","contributorId":171472,"corporation":false,"usgs":false,"family":"Bruskotter","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":721175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044202,"text":"70044202 - 2012 - Short-term survival of ammonites in New Jersey after the end-Cretaceous bolide impact","interactions":[],"lastModifiedDate":"2013-05-10T09:25:25","indexId":"70044202","displayToPublicDate":"2012-01-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":642,"text":"Acta Palaeontologica Polonica","active":true,"publicationSubtype":{"id":10}},"title":"Short-term survival of ammonites in New Jersey after the end-Cretaceous bolide impact","docAbstract":"A section containing the Cretaceous/Paleogene (= Cretaceous/Tertiary) boundary in Monmouth County, New Jersey, preserves a record of ammonites extending from the end of the Cretaceous into possibly the beginning of the Danian. The section includes the upper part of the Tinton Formation and lower part of the Hornerstown Formation. The top of the Tinton Formation is represented by a richly fossiliferous unit (the Pinna Layer) that contains many bivalves in life position as well as ammonite jaws preserved inside body chambers. Ammonites include Pachydiscus (Neodesmoceras) mokotibensis, Sphenodiscus lobatus, Eubaculites carinatus, E. latecarinatus; Discoscaphites iris, D. sphaeroidalis; D. minardi, and D. jerseyensis. The Pinna Layer probably represents a relatively short interval of time lasting tens to hundreds of years; it is conformably overlain by the Burrowed Unit, which contains a single fragment of Discoscaphites sp. and several fragments of E. latecarinatus, as well as several isolated specimens of ammonite jaws including two of Eubaculites. Examination of the mode of preservation of the ammonites and jaws suggests that they were fossilized during deposition of the Burrowed Unit and were not reworked from older deposits. Based on the ammonites and dinoflagellates in the Pinna Layer and the Burrowed Unit, these strata traditionally would be assigned to the uppermost Maastrichtian, corresponding to calcareous nannofossil Subzone CC26b. However, a weak iridium anomaly (500–600 pg/g) is present at the base of the Pinna Layer, which presumably represents the record of the bolide impact. Correlation with the iridium layer at the Global Stratotype Section and Point at El Kef, Tunisia, would, therefore, imply that these assemblages are actually Danian, provided that the iridium anomaly is in place and the ammonites and dinoflagellates are not reworked. If the iridium anomaly is in place, or even if it has migrated downward from the top of the Pinna Layer, the ammonites would have survived the impact at this site for a brief interval of time lasting from a few days to hundreds of years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Acta Palaeontologica Polonica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Paleobiology, Polish Academy of Sciences","doi":"10.4202/app.2011.0068","usgsCitation":"Landman, N.H., Garb, M., Rovelli, R., Ebel, D.S., and Edwards, L.E., 2012, Short-term survival of ammonites in New Jersey after the end-Cretaceous bolide impact: Acta Palaeontologica Polonica, v. 57, no. 4, p. 703-715, https://doi.org/10.4202/app.2011.0068.","startPage":"703","endPage":"715","numberOfPages":"13","ipdsId":"IP-031022","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4202/app.2011.0068","text":"Publisher Index Page"},{"id":272169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272168,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4202/app.2011.0068"}],"country":"United States","state":"New Jersey","county":"Monmouth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.61,40.08 ], [ -74.61,40.48 ], [ -73.97,40.48 ], [ -73.97,40.08 ], [ -74.61,40.08 ] ] ] } } ] }","volume":"57","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518e16e1e4b05ebc8f7cc2fb","contributors":{"authors":[{"text":"Landman, Neil H.","contributorId":95779,"corporation":false,"usgs":true,"family":"Landman","given":"Neil","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garb, Matthew P.","contributorId":6355,"corporation":false,"usgs":true,"family":"Garb","given":"Matthew P.","affiliations":[],"preferred":false,"id":475097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rovelli, Remy","contributorId":99447,"corporation":false,"usgs":true,"family":"Rovelli","given":"Remy","affiliations":[],"preferred":false,"id":475100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebel, Denton S.","contributorId":89040,"corporation":false,"usgs":true,"family":"Ebel","given":"Denton","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":475098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":475096,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70118142,"text":"70118142 - 2012 - Where eagles nest, the wind also blows: consolidating habitat and energy needs","interactions":[],"lastModifiedDate":"2014-07-25T16:33:49","indexId":"70118142","displayToPublicDate":"2012-01-01T16:32:30","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Where eagles nest, the wind also blows: consolidating habitat and energy needs","docAbstract":"Energy development is rapidly escalating in resource-rich Wyoming, and with it the risks posed to raptor populations. These risks are of increasing concern to the U.S. Fish and Wildlife Service, which is responsible for protecting the persistence of protected species, including raptors. In support of a Federal mandate to protect trust species and the wind energy industry’s need to find suitable sites on which to build wind farms, scientists at the USGS Fort Collins Science Center (FORT) and their partners are conducting research to help reduce impacts to raptor species from wind energy operations. Potential impacts include collision with the turbine blades and habitat disruption and disturbance from construction and operations. This feature describes a science-based tool—a quantitative predictive model—being developed and tested by FORT scientists to potentially avoid or reduce such impacts. This tool will provide industry and resource managers with the biological basis for decisions related to sustainably siting wind turbines in a way that also conserves important habitats for nesting golden eagles. Because of the availability of comprehensive data on nesting sites, golden eagles in Wyoming are the prototype species (and location) for the first phase of this investigation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Tack, J., and Wilson, J., 2012, Where eagles nest, the wind also blows: consolidating habitat and energy needs, 1 p.","productDescription":"1 p.","numberOfPages":"1","costCenters":[],"links":[{"id":291069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f545e4b0bc0bec0a1535","contributors":{"authors":[{"text":"Tack, J.","contributorId":91712,"corporation":false,"usgs":true,"family":"Tack","given":"J.","affiliations":[],"preferred":false,"id":496468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jim","contributorId":10503,"corporation":false,"usgs":false,"family":"Wilson","given":"Jim","affiliations":[],"preferred":false,"id":496467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044192,"text":"70044192 - 2012 - Standardizing texture and facies codes for a process-based classification of clastic sediment and rock","interactions":[],"lastModifiedDate":"2018-01-31T10:22:36","indexId":"70044192","displayToPublicDate":"2012-01-01T16:25:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Standardizing texture and facies codes for a process-based classification of clastic sediment and rock","docAbstract":"Proposed here is a universally applicable, texturally based classification of clastic sediment that is independent from composition, cementation, and geologic environment, is closely allied to process sedimentology, and applies to all compartments in the source-to-sink system. The classification is contingent on defining the term \"clastic\" so that it is independent from composition or origin and includes any particles or grains that are subject to erosion, transportation, and deposition. Modifications to Folk's (1980) texturally based classification that include applying new assumptions and defining a broader array of textural fields are proposed to accommodate this. The revised ternary diagrams include additional textural fields that better define poorly sorted and coarse-grained deposits, so that all end members (gravel, sand, and mud size fractions) are included in textural codes. Revised textural fields, or classes, are based on a strict adherence to volumetric estimates of percentages of gravel, sand, and mud size grain populations, which by definition must sum to 100%. The new classification ensures that descriptors are applied consistently to all end members in the ternary diagram (gravel, sand, and mud) according to several rules, and that none of the end members are ignored. These modifications provide bases for standardizing vertical displays of texture in graphic logs, lithofacies codes, and their derivatives- hydrofacies. Hydrofacies codes are nondirectional permeability indicators that predict aquifer or reservoir potential. Folk's (1980) ternary diagram for fine-grained clastic sediments (sand, silt, and clay size fractions) is also revised to preserve consistency with the revised diagram for gravel, sand, and mud. Standardizing texture ensures that the principles of process sedimentology are consistently applied to compositionally variable rock sequences, such as mixed carbonate-siliciclastic ramp settings, and the extreme ends of depositional systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sedimentary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/jsr.2012.30","usgsCitation":"Farrell, K., Harris, W., Mallinson, D.J., Culver, S., Riggs, S., Pierson, J., Self-Trail J.M., and Lautier, J., 2012, Standardizing texture and facies codes for a process-based classification of clastic sediment and rock: Journal of Sedimentary Research, v. 82, no. 6, p. 364-378, https://doi.org/10.2110/jsr.2012.30.","productDescription":"15 p.","startPage":"364","endPage":"378","ipdsId":"IP-034468","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":275260,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/jsr.2012.30"},{"id":275261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"51ee546ae4b00ffbed48f8fa","contributors":{"authors":[{"text":"Farrell, K.M.","contributorId":106573,"corporation":false,"usgs":true,"family":"Farrell","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":475081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, W.B.","contributorId":6635,"corporation":false,"usgs":true,"family":"Harris","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":475074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, D. J.","contributorId":71745,"corporation":false,"usgs":true,"family":"Mallinson","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culver, S.J.","contributorId":53970,"corporation":false,"usgs":true,"family":"Culver","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":475077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riggs, S.R.","contributorId":29807,"corporation":false,"usgs":true,"family":"Riggs","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":475076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pierson, J.","contributorId":7536,"corporation":false,"usgs":true,"family":"Pierson","given":"J.","affiliations":[],"preferred":false,"id":475075,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Self-Trail J.M.","contributorId":128180,"corporation":true,"usgs":false,"organization":"Self-Trail J.M.","id":535448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lautier, J.C.","contributorId":69445,"corporation":false,"usgs":true,"family":"Lautier","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":475078,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70118134,"text":"70118134 - 2012 - Assessing long-term variations in sagebrush habitat: characterization of spatial extents and distribution patterns using multi-temporal satellite remote-sensing data","interactions":[],"lastModifiedDate":"2017-12-27T15:07:51","indexId":"70118134","displayToPublicDate":"2012-01-01T16:16:11","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessing long-term variations in sagebrush habitat: characterization of spatial extents and distribution patterns using multi-temporal satellite remote-sensing data","docAbstract":"An approach that can generate sagebrush habitat change estimates for monitoring large-area sagebrush ecosystems has been developed and tested in southwestern Wyoming, USA. This prototype method uses a satellite-based image change detection algorithm and regression models to estimate sub-pixel percentage cover for five sagebrush habitat components: bare ground, herbaceous, litter, sagebrush and shrub. Landsat images from three different months in 1988, 1996 and 2006 were selected to identify potential landscape change during these time periods using change vector (CV) analysis incorporated with an image normalization algorithm. Regression tree (RT) models were used to estimate percentage cover for five components on all change areas identified in 1988 and 1996, using unchanged 2006 baseline data as training for both estimates. Over the entire study area (24 950 km2), a net increase of 98.83 km2, or 0.7%, for bare ground was measured between 1988 and 2006. Over the same period, the other four components had net losses of 20.17 km2, or 0.6%, for herbaceous vegetation; 30.16 km2, or 0.7%, for litter; 32.81 km2, or 1.5%, for sagebrush; and 33.34 km2, or 1.2%, for shrubs. The overall accuracy for shrub vegetation change between 1988 and 2006 was 89.56%. Change patterns within sagebrush habitat components differ spatially and quantitatively from each other, potentially indicating unique responses by these components to disturbances imposed upon them.
","language":"English","publisher":"Taylor & Francis","publisherLocation":"London, England","doi":"10.1080/01431161.2011.605085","usgsCitation":"Xian, G., Homer, C.G., and Aldridge, C.L., 2012, Assessing long-term variations in sagebrush habitat: characterization of spatial extents and distribution patterns using multi-temporal satellite remote-sensing data: International Journal of Remote Sensing, v. 33, no. 7, p. 2034-2058, https://doi.org/10.1080/01431161.2011.605085.","productDescription":"25 p.","startPage":"2034","endPage":"2058","numberOfPages":"25","ipdsId":"IP-021130","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":291062,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2011.605085"},{"id":291063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-10-18","publicationStatus":"PW","scienceBaseUri":"57f7f545e4b0bc0bec0a153d","contributors":{"authors":[{"text":"Xian, George 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":76589,"corporation":false,"usgs":true,"family":"Xian","given":"George","affiliations":[],"preferred":false,"id":496427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","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":496426,"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":496425,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042734,"text":"70042734 - 2012 - Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","interactions":[],"lastModifiedDate":"2021-03-29T18:24:24.482065","indexId":"70042734","displayToPublicDate":"2012-01-01T16:07:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","docAbstract":"Freshwater forested wetlands commonly occur in the lower Coastal Plain of the southeastern US with baldcypress (Taxodium distichum [L.] L.C. Rich.) and water tupelo (Nyssa aquatica L.) often being the dominant trees. Extensive anthropogenic activities combined with eustatic sea-level rise and land subsidence have caused widespread hydrological changes in many of these forests. In addition, hurricanes (a common, although aperiodic occurrence) cause wide-spread damage from wind and storm surge events, with impacts exacerbated by human-mediated coastal modifications (e.g., dredging, navigation channels, etc.). Restoration of forested wetlands in coastal areas is important because emergent canopies can greatly diminish wind penetration, thereby reducing the wind stress available to generate surface waves and storm surge that are the major cause of damage to coastal ecosystems and their surrounding communities. While there is an overall paucity of large-scale restoration efforts within coastal forested wetlands of the southeastern US, we have determined important characteristics that should drive future efforts. Restoration efforts may be enhanced considerably if coupled with hydrological enhancement, such as freshwater, sediment, or sewage wastewater diversions. Large-scale restoration of coastal forests should be attempted to create a landscape capable of minimizing storm impacts and maximizing wetland sustainability in the face of climate change. Planting is the preferred regeneration method in many forested wetland sites because hydrological alterations have increased flooding, and planted seedlings must be protected from herbivory to enhance establishment. Programs identifying salt tolerance in coastal forest tree species need to be continued to help increase resilience to repetitive storm surge events.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A goal-oriented approach to forest landscape restoration","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-94-007-5338-9_16","usgsCitation":"Conner, W.H., Krauss, K.W., and Shaffer, G., 2012, Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes, chap. of A goal-oriented approach to forest landscape restoration, v. 16, p. 423-442, https://doi.org/10.1007/978-94-007-5338-9_16.","productDescription":"20 p.","startPage":"423","endPage":"442","numberOfPages":"20","ipdsId":"IP-019683","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":275653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Delaware, Florida, Georgia, Louisiana, Mississippi, New Jersey, North Carolina, Pennsylvania, South Carolina, Texas, Virginia","otherGeospatial":"Lower Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.02,24.52 ], [ -99.02,41.96 ], [ -72.16,41.96 ], [ -72.16,24.52 ], [ -99.02,24.52 ] ] ] } } ] }","volume":"16","noUsgsAuthors":false,"publicationDate":"2012-10-26","publicationStatus":"PW","scienceBaseUri":"51fa31e7e4b076c3a8d8267e","contributors":{"authors":[{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":472132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":472130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Gary P.","contributorId":72688,"corporation":false,"usgs":true,"family":"Shaffer","given":"Gary P.","affiliations":[],"preferred":false,"id":472131,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199665,"text":"70199665 - 2012 - Thermal maturation history of Arctic Alaska and the southern Canada Basin","interactions":[],"lastModifiedDate":"2018-09-24T16:23:32","indexId":"70199665","displayToPublicDate":"2012-01-01T15:56:42","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Thermal maturation history of Arctic Alaska and the southern Canada Basin","docAbstract":"The emerging global focus on the oil and gas potential of the Arctic underscores the importance of understanding petroleum systems with limited data. Geohistory modeling of Arctic Alaska (including the Chukchi shelf) and the southern Canada basin indicates that regional patterns of thermal maturity and timing of petroleum generation reflect geologic processes associated with rift-opening of the Canada basin and collision orogenesis along the Brooks Range–Herald arch from Jurassic through Tertiary time. The base of the Cretaceous–Tertiary Brookian sequence provides a regional reference horizon because most oil generation occurred as the result of Brookian burial.\nIn Arctic Alaska, basal Brookian strata on the Beaufort rift shoulder grade from immature in the west to overmature in the east. From the crest of the rift shoulder, thermal maturity of basal Brookian strata increases southward into the oil window on the north flank of the Colville foreland basin and into the gas window in the foredeep. A .200-mile-wide area of immature to mature strata in the Chukchi Sea narrows eastward as the Brooks Range converges with the rift shoulder in the eastern North Slope. These patterns reflect generally low Jurassic to Tertiary sediment accommodation on the rift shoulder, large Cretaceous sediment accommodation in the Colville foredeep, and northward impingement of the Brooks Range onto the eastern part of the rift shoulder during the Tertiary.\nFewer geologic data in the Canada basin increases the uncertainty of modeling. Projection of stratigraphy from the rift shoulder, reconstruction of regional sediment dispersal patterns, and consideration of source rocks in Arctic Alaska and Canada indicate the potential for four source rocks in the Cretaceous and Paleogene. Model results indicate that all four source rocks are mature or overmature across much of the southern Canada basin. The highest thermal maturity occurs in depocenters immediately north of the rift shoulder and on the eastern margin of the study area, which is the distal Mackenzie delta. The lowest thermal maturity occurs at the northern limit of modeling, more than 200 miles north of the rift shoulder and on the western margin of the study area, adjacent to the Chukchi borderland. A potential source rock in the Lower Cretaceous likely matured during the Early Cretaceous in a western depocenter related to sediment by-pass of the Chukchi shelf, but maturation of all source rocks elsewhere occurred during the Paleogene when large volumes of sediment were shed from the Brooks Range and through the Mackenzie delta.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Analyzing the thermal history of sedimentary basins: Methods and case studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/sepmsp.103.199","collaboration":"None","usgsCitation":"Houseknecht, D.W., Burns, W.M., and Bird, K., 2012, Thermal maturation history of Arctic Alaska and the southern Canada Basin, chap. of Analyzing the thermal history of sedimentary basins: Methods and case studies, v. Special Publication 103, p. 199-219, https://doi.org/10.2110/sepmsp.103.199.","productDescription":"21 p.","startPage":"199","endPage":"219","ipdsId":"IP-012914","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.22607421875,\n 70.50657489320895\n ],\n [\n -151.50146484375,\n 70.50657489320895\n ],\n [\n -151.50146484375,\n 70.98655968762381\n ],\n [\n -154.22607421875,\n 70.98655968762381\n ],\n [\n -154.22607421875,\n 70.50657489320895\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"Special Publication 103","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10bf3de4b034bf6a7f0c77","contributors":{"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, W. Matthew","contributorId":208146,"corporation":false,"usgs":false,"family":"Burns","given":"W.","email":"","middleInitial":"Matthew","affiliations":[{"id":27774,"text":"formerly with USGS","active":true,"usgs":false}],"preferred":false,"id":746121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Kenneth J.","contributorId":208143,"corporation":false,"usgs":false,"family":"Bird","given":"Kenneth J.","affiliations":[{"id":27856,"text":"USGS-retired","active":true,"usgs":false}],"preferred":false,"id":746120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048099,"text":"70048099 - 2012 - Effects of smectite to illite transformation on the frictional strength and sliding stability of intact marine mudstones","interactions":[],"lastModifiedDate":"2013-09-10T15:52:32","indexId":"70048099","displayToPublicDate":"2012-01-01T15:47:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of smectite to illite transformation on the frictional strength and sliding stability of intact marine mudstones","docAbstract":"At subduction zones, earthquake nucleation and coseismic slip occur only within a limited depth range, known as the “seismogenic zone”. One leading hypothesis for the upper aseismic-seismic transition is that transformation of smectite to illite at ∼100–150°C triggers a change from rate-strengthening frictional behavior that allows only stable sliding, to rate weakening behavior considered a prerequisite for unstable slip. Previous studies on powdered gouges have shown that changes in clay mineralogy alone are unlikely to control this transition, but associated fabric and cementation developed during diagenesis remain possible candidates. We conducted shearing experiments designed specifically to evaluate this hypothesis, by using intact wafers of mudstone from Ocean Drilling Program Site 1174, offshore SW Japan, which have undergone progressive smectite transformation in situ. We sheared specimens along a sawcut in a triaxial configuration, oriented parallel to bedding, at normal stresses of ∼20–150 MPa and a pore pressure of 1 MPa. During shearing, we conducted velocity-stepping tests to measure the friction rate parameter (a-b). Friction coefficient ranges from 0.28–0.40 and values of (a-b) are uniformly positive; both are independent of clay transformation progress. Our work represents the most direct and comprehensive test of the clay transformation hypothesis to date, and suggests that neither illitization, nor accompanying fabric development and cementation, trigger a transition to unstable frictional behavior. We suggest that strain localization, in combination with precipitation of calcite and quartz, is a viable alternative that is consistent with both field observations and recent conceptual models of a heterogeneous seismogenic zone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2012GL051761","usgsCitation":"Saffer, D.M., Lockner, D.A., and McKiernan, A., 2012, Effects of smectite to illite transformation on the frictional strength and sliding stability of intact marine mudstones: Geophysical Research Letters, v. 39, no. 11, 6 p., https://doi.org/10.1029/2012GL051761.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-038091","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474594,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gl051761","text":"Publisher Index Page"},{"id":277463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277462,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL051761"}],"country":"Japan","otherGeospatial":"Philippine Sea Plate;Eurasian Plate","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.0,31.0 ], [ -129.0,36.0 ], [ -137.0,36.0 ], [ -137.0,31.0 ], [ -129.0,31.0 ] ] ] } } ] }","volume":"39","issue":"11","noUsgsAuthors":false,"publicationDate":"2012-06-06","publicationStatus":"PW","scienceBaseUri":"52303f61e4b04b8e63a2062a","contributors":{"authors":[{"text":"Saffer, Demian M.","contributorId":75051,"corporation":false,"usgs":true,"family":"Saffer","given":"Demian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":483744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKiernan, Alex","contributorId":42124,"corporation":false,"usgs":true,"family":"McKiernan","given":"Alex","email":"","affiliations":[],"preferred":false,"id":483745,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}