Agricultural land use has often been linked to nutrient enrichment, habitat degradation, hydrologic alteration, and loss of biotic integrity in streams. The U.S. Geological Survey's National Water Quality Assessment Program sampled 226 stream sites located in eight agriculture‐dominated study units across the United States to investigate the geographic variability and causes of agricultural impacts on stream biotic integrity. In this analysis we used structural equation modeling (SEM) to develop a national and set of regional causal models linking agricultural land use to measured instream conditions. We then examined the direct, indirect, and total effects of agriculture on biotic integrity as it acted through multiple water quality and habitat pathways. In our nation‐wide model, cropland affected benthic communities by both altering structural habitats and by imposing water quality‐related stresses. Region‐specific modeling demonstrated that geographic context altered the relative importance of causal pathways through which agricultural activities affected stream biotic integrity. Cropland had strong negative total effects on the invertebrate community in the national, Midwest, and Western models, but a very weak effect in the Eastern Coastal Plain model. In the Western Arid and Eastern Coastal Plain study regions, cropland impacts were transmitted primarily through dissolved water quality contaminants, but in the Midwestern region, they were transmitted primarily through particulate components of water quality. Habitat effects were important in the Western Arid model, but negligible in the Midwest and Eastern Coastal Plain models. The relative effects of riparian forested wetlands also varied regionally, having positive effects on biotic integrity in the Eastern Coastal Plain and Western Arid region models, but no statistically significant effect in the Midwest. These differences in response to cropland and riparian cover suggest that best management practices and planning for the mitigation of agricultural land use impacts on stream ecosystems should be regionally focused.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-0077.1","issn":"10510761","usgsCitation":"Riseng, C., Wiley, M., Black, R.W., and Munn, M., 2011, Impacts of agricultural land use on biological integrity: A causal analysis: Ecological Applications, v. 21, no. 8, p. 3128-3146, https://doi.org/10.1890/11-0077.1.","productDescription":"19 p.","startPage":"3128","endPage":"3146","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":475137,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/116919","text":"External Repository"},{"id":383621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a38e0e4b0c8380cd61706","contributors":{"authors":[{"text":"Riseng, C.M.","contributorId":9481,"corporation":false,"usgs":true,"family":"Riseng","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":450072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiley, M.J.","contributorId":68976,"corporation":false,"usgs":true,"family":"Wiley","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":450073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":450075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munn, M.D.","contributorId":77908,"corporation":false,"usgs":true,"family":"Munn","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":450074,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036224,"text":"70036224 - 2011 - The Augustine magmatic system as revealed by seismic tomography and relocated earthquake hypocenters from 1994 through 2009","interactions":[],"lastModifiedDate":"2021-01-25T18:19:27.614522","indexId":"70036224","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The Augustine magmatic system as revealed by seismic tomography and relocated earthquake hypocenters from 1994 through 2009","docAbstract":"We incorporate 14 years of earthquake data from the Alaska Volcano Observatory with data from a 1975 controlled‐source seismic experiment to obtain the three‐dimensional P and S wave velocity structure and the first high‐precision earthquake locations at Augustine Volcano to be calculated in a fully three‐dimensional velocity model. Velocity tomography shows two main features beneath Augustine: a narrow, high‐velocity column beneath the summit, extending from ∼2 km depth to the surface, and elevated velocities on the south flank. Our relocation results allow a thorough analysis of the spatio‐temoral patterns of seismicity and the relationship to the magmatic and eruptive activity. Background seismicity is centered beneath the summit at an average depth of 0.6 km above sea level. In the weeks leading to the January 2006 eruption of Augustine, seismicity focused on a NW‐SE line along the trend of an inflating dike. A series of drumbeat earthquakes occurred in the early weeks of the eruption, indicating further magma transport through the same dike system. During the six months following the onset of the eruption, the otherwise quiescent region 1 to 5 km below sea level centered beneath the summit became seismically active with two groups of earthquakes, differentiated by frequency content. The deep longer‐period earthquakes occurred during the eruption and are interpreted as resulting from the movement of magma toward the summit, and the post‐eruptive shorter‐period earthquakes may be due to the relaxation of an emptied magma tube. The seismicity subsequently returned to its normal background rates and patterns.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JB008129","issn":"01480227","usgsCitation":"Syracuse, E., Thurber, C., and Power, J.A., 2011, The Augustine magmatic system as revealed by seismic tomography and relocated earthquake hypocenters from 1994 through 2009: Journal of Geophysical Research B: Solid Earth, v. 116, no. 9, B09306, 11 p., https://doi.org/10.1029/2010JB008129.","productDescription":"B09306, 11 p.","costCenters":[],"links":[{"id":475123,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb008129","text":"Publisher Index Page"},{"id":246305,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218306,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB008129"}],"country":"United States","state":"Alaska","otherGeospatial":"Augustine Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.1484375,\n 57.18390185831188\n ],\n [\n -142.470703125,\n 57.18390185831188\n ],\n [\n -142.470703125,\n 61.938950426660604\n ],\n [\n -157.1484375,\n 61.938950426660604\n ],\n [\n -157.1484375,\n 57.18390185831188\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-16","publicationStatus":"PW","scienceBaseUri":"505ba690e4b08c986b3211e4","contributors":{"authors":[{"text":"Syracuse, E.M.","contributorId":28108,"corporation":false,"usgs":true,"family":"Syracuse","given":"E.M.","affiliations":[],"preferred":false,"id":454977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurber, C.H.","contributorId":28617,"corporation":false,"usgs":true,"family":"Thurber","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":454978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John A. 0000-0002-7233-4398 jpower@usgs.gov","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":2768,"corporation":false,"usgs":true,"family":"Power","given":"John","email":"jpower@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":454976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036221,"text":"70036221 - 2011 - Simulating adsorption of U(VI) under transient groundwater flow and hydrochemistry: Physical versus chemical nonequilibrium model","interactions":[],"lastModifiedDate":"2020-01-14T07:50:14","indexId":"70036221","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Simulating adsorption of U(VI) under transient groundwater flow and hydrochemistry: Physical versus chemical nonequilibrium model","docAbstract":"Coupled intragrain diffusional mass transfer and nonlinear surface complexation processes play an important role in the transport behavior of U(VI) in contaminated aquifers. Two alternative model approaches for simulating these coupled processes were analyzed and compared: (1) the physical nonequilibrium approach that explicitly accounts for aqueous speciation and instantaneous surface complexation reactions in the intragrain regions and approximates the diffusive mass exchange between the immobile intragrain pore water and the advective pore water as multirate first-order mass transfer and (2) the chemical nonequilibrium approach that approximates the diffusion-limited intragrain surface complexation reactions by a set of multiple first-order surface complexation reaction kinetics, thereby eliminating the explicit treatment of aqueous speciation in the intragrain pore water. A model comparison has been carried out for column and field scale scenarios, representing the highly transient hydrological and geochemical conditions in the U(VI)-contaminated aquifer at the Hanford 300A site, Washington, USA. It was found that the response of U(VI) mass transfer behavior to hydrogeochemically induced changes in U(VI) adsorption strength was more pronounced in the physical than in the chemical nonequilibrium model. The magnitude of the differences in model behavior depended particularly on the degree of disequilibrium between the advective and immobile phase U(VI) concentrations. While a clear difference in U(VI) transport behavior between the two models was noticeable for the column-scale scenarios, only minor differences were found for the Hanford 300A field scale scenarios, where the model-generated disequilibrium conditions were less pronounced as a result of frequent groundwater flow reversals.
","language":"English","publisher":"Wiley","doi":"10.1029/2010WR010118","issn":"00431397","usgsCitation":"Greskowiak, J., Hay, M., Prommer, H., Liu, C., Post, V., Ma, R., Davis, J., Zheng, C., and Zachara, J., 2011, Simulating adsorption of U(VI) under transient groundwater flow and hydrochemistry: Physical versus chemical nonequilibrium model: Water Resources Research, v. 47, no. 8, https://doi.org/10.1029/2010WR010118.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475313,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr010118","text":"Publisher Index Page"},{"id":246244,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-08-02","publicationStatus":"PW","scienceBaseUri":"505b8fcae4b08c986b319133","contributors":{"authors":[{"text":"Greskowiak, J.","contributorId":21002,"corporation":false,"usgs":true,"family":"Greskowiak","given":"J.","affiliations":[],"preferred":false,"id":454960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, M.B.","contributorId":30078,"corporation":false,"usgs":true,"family":"Hay","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":454961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prommer, H.","contributorId":12264,"corporation":false,"usgs":true,"family":"Prommer","given":"H.","affiliations":[],"preferred":false,"id":454958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, C.","contributorId":67755,"corporation":false,"usgs":true,"family":"Liu","given":"C.","affiliations":[],"preferred":false,"id":454964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Post, V.E.A.","contributorId":56078,"corporation":false,"usgs":true,"family":"Post","given":"V.E.A.","email":"","affiliations":[],"preferred":false,"id":454963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ma, R.","contributorId":17458,"corporation":false,"usgs":true,"family":"Ma","given":"R.","email":"","affiliations":[],"preferred":false,"id":454959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, J.A.","contributorId":71694,"corporation":false,"usgs":true,"family":"Davis","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":454965,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zheng, C.","contributorId":39976,"corporation":false,"usgs":true,"family":"Zheng","given":"C.","email":"","affiliations":[],"preferred":false,"id":454962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zachara, J.M.","contributorId":96896,"corporation":false,"usgs":true,"family":"Zachara","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":454966,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70044504,"text":"70044504 - 2011 - On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration","interactions":[],"lastModifiedDate":"2013-04-02T09:09:34","indexId":"70044504","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration","docAbstract":"Hydrologic models often are applied to adjust projections of hydroclimatic change that come from climate models. Such adjustment includes climate-bias correction, spatial refinement (\"downscaling\"), and consideration of the roles of hydrologic processes that were neglected in the climate model. Described herein is a quantitative analysis of the effects of hydrologic adjustment on the projections of runoff change associated with projected twenty-first-century climate change. In a case study including three climate models and 10 river basins in the contiguous United States, the authors find that relative (i.e., fractional or percentage) runoff change computed with hydrologic adjustment more often than not was less positive (or, equivalently, more negative) than what was projected by the climate models. The dominant contributor to this decrease in runoff was a ubiquitous change in runoff (median -11%) caused by the hydrologic model’s apparent amplification of the climate-model-implied growth in potential evapotranspiration. Analysis suggests that the hydrologic model, on the basis of the empirical, temperature-based modified Jensen–Haise formula, calculates a change in potential evapotranspiration that is typically 3 times the change implied by the climate models, which explicitly track surface energy budgets. In comparison with the amplification of potential evapotranspiration, central tendencies of other contributions from hydrologic adjustment (spatial refinement, climate-bias adjustment, and process refinement) were relatively small. The authors’ findings highlight the need for caution when projecting changes in potential evapotranspiration for use in hydrologic models or drought indices to evaluate climate-change impacts on water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/2010EI363.1","usgsCitation":"Milly, P., and Dunne, K.A., 2011, On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration: Earth Interactions, v. 15, no. 1, p. 1-14, https://doi.org/10.1175/2010EI363.1.","productDescription":"15 p.","startPage":"1","endPage":"14","numberOfPages":"15","additionalOnlineFiles":"N","ipdsId":"IP-019747","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":475164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010ei363.1","text":"Publisher Index Page"},{"id":270445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010EI363.1"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-14","publicationStatus":"PW","scienceBaseUri":"515bfdf6e4b075500ee5ca7b","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":475759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, Krista A. kadunne@usgs.gov","contributorId":3936,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475760,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034627,"text":"70034627 - 2011 - A probabilistic seismic risk assessment procedure for nuclear power plants: (I) Methodology","interactions":[],"lastModifiedDate":"2021-04-15T11:58:08.696407","indexId":"70034627","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8133,"text":"Nuclear Engineering and Design","active":true,"publicationSubtype":{"id":10}},"title":"A probabilistic seismic risk assessment procedure for nuclear power plants: (I) Methodology","docAbstract":"A new procedure for probabilistic seismic risk assessment of nuclear power plants (NPPs) is proposed. This procedure modifies the current procedures using tools developed recently for performance-based earthquake engineering of buildings. The proposed procedure uses (a) response-based fragility curves to represent the capacity of structural and nonstructural components of NPPs, (b) nonlinear response-history analysis to characterize the demands on those components, and (c) Monte Carlo simulations to determine the damage state of the components. The use of response-rather than ground-motion-based fragility curves enables the curves to be independent of seismic hazard and closely related to component capacity. The use of Monte Carlo procedure enables the correlation in the responses of components to be directly included in the risk assessment. An example of the methodology is presented in a companion paper to demonstrate its use and provide the technical basis for aspects of the methodology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.nucengdes.2011.06.051","issn":"00295493","usgsCitation":"Huang, Y., Whittaker, A., and Luco, N., 2011, A probabilistic seismic risk assessment procedure for nuclear power plants: (I) Methodology: Nuclear Engineering and Design, v. 241, no. 9, p. 3996-4003, https://doi.org/10.1016/j.nucengdes.2011.06.051.","productDescription":"8 p.","startPage":"3996","endPage":"4003","costCenters":[],"links":[{"id":243444,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"241","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e508e4b0c8380cd46a9d","contributors":{"authors":[{"text":"Huang, Y.-N.","contributorId":98860,"corporation":false,"usgs":true,"family":"Huang","given":"Y.-N.","email":"","affiliations":[],"preferred":false,"id":446753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittaker, A.S.","contributorId":8596,"corporation":false,"usgs":true,"family":"Whittaker","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":446751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":446752,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036218,"text":"70036218 - 2011 - A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean","interactions":[],"lastModifiedDate":"2021-01-25T19:06:23.937446","indexId":"70036218","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"49","title":"A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean","docAbstract":"The Lomonosov microcontinent is an elongated continental fragment that transects the Arctic Ocean between North America and Siberia via the North Pole. Although it lies beneath polar pack ice, the geological framework of the microcontinent is inferred from sparse seismic reflection data, a few cores, potential field data and the geology of its conjugate margin in the Barents–Kara Shelf. Petroleum systems inferred to be potentially active are comparable to those sourced by condensed Triassic and Jurassic marine shale of the Barents Platform and by condensed Jurassic and (or) Cretaceous shale probably present in the adjacent Amerasia Basin. Cenozoic deposits are known to contain rich petroleum source rocks but are too thermally immature to have generated petroleum. For the 2008 USGS Circum Arctic Resource Appraisal (CARA), the microcontinent was divided into shelf and slope assessment units (AUs) at the tectonic hinge line along the Amerasia Basin margin. A low to moderate probability of accumulation in the slope AU yielded fully risked mean estimates of 123 MMBO oil and 740 BCF gas. For the shelf AU, no quantitative assessment was made because the probability of petroleum accumulations of the 50 MMBOE minimum size was estimated to be less than 10% owing to rift-related uplift, erosion and faulting.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.49","issn":"04354052","usgsCitation":"Moore, T.E., Grantz, A., Pitman, J.K., and Brown, P., 2011, A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean: Geological Society Memoir, v. 35, p. 751-769, https://doi.org/10.1144/M35.49.","productDescription":"19 p.","startPage":"751","endPage":"769","numberOfPages":"19","ipdsId":"IP-021684","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":246178,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218192,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.49"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46de4b0c8380cd4bd1c","contributors":{"authors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":454940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grantz, Arthur agrantz@usgs.gov","contributorId":2585,"corporation":false,"usgs":true,"family":"Grantz","given":"Arthur","email":"agrantz@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":454939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":454942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Philip J.","contributorId":70483,"corporation":false,"usgs":true,"family":"Brown","given":"Philip J.","affiliations":[],"preferred":false,"id":454941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036217,"text":"70036217 - 2011 - Regional magnetic domains of the Circum-Arctic: A framework for geodynamic interpretation","interactions":[],"lastModifiedDate":"2022-12-20T16:25:29.72238","indexId":"70036217","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"4","title":"Regional magnetic domains of the Circum-Arctic: A framework for geodynamic interpretation","docAbstract":"We identify and discuss 57 magnetic anomaly pattern domains spanning the Circum-Arctic. The domains are based on analysis of a new Circum-Arctic data compilation. The magnetic anomaly patterns can be broadly related to general geodynamic classification of the crust into stable, deformed (magnetic and nonmagnetic), deep magnetic high, oceanic and large igneous province domains. We compare the magnetic domains with topography/bathymetry, regional geology, regional free air gravity anomalies and estimates of the relative magnetic ‘thickness’ of the crust. Most of the domains and their geodynamic classification assignments are consistent with their topographic/bathymetric and geological expression. A few of the domains are potentially controversial. For example, the extent of the Iceland Faroe large igneous province as identified by magnetic anomalies may disagree with other definitions for this feature. Also the lack of definitive magnetic expression of oceanic crust in Baffin Bay, the Norwegian–Greenland Sea and the Amerasian Basin is at odds with some previous interpretations. The magnetic domains and their boundaries provide clues for tectonic models and boundaries within this poorly understood portion of the globe.
","language":"English","publisher":"The Geological Society of London","doi":"10.1144/M35.4","usgsCitation":"Saltus, R.W., Miller, E.L., Gaina, C., and Brown, P., 2011, Regional magnetic domains of the Circum-Arctic: A framework for geodynamic interpretation: Geological Society Memoir, v. 35, p. 49-60, https://doi.org/10.1144/M35.4.","productDescription":"12 p.","startPage":"49","endPage":"60","numberOfPages":"12","costCenters":[],"links":[{"id":246177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46de4b0c8380cd4bd20","contributors":{"authors":[{"text":"Saltus, R. W.","contributorId":85588,"corporation":false,"usgs":true,"family":"Saltus","given":"R.","middleInitial":"W.","affiliations":[],"preferred":false,"id":454937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, E. L.","contributorId":75583,"corporation":false,"usgs":true,"family":"Miller","given":"E.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":454936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaina, C.","contributorId":71389,"corporation":false,"usgs":true,"family":"Gaina","given":"C.","email":"","affiliations":[],"preferred":false,"id":454935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, P. J. 0000-0002-2415-7462","orcid":"https://orcid.org/0000-0002-2415-7462","contributorId":92403,"corporation":false,"usgs":true,"family":"Brown","given":"P. J.","affiliations":[],"preferred":false,"id":454938,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034625,"text":"70034625 - 2011 - Late-Holocene climate evolution at the WAIS Divide site, West Antarctica: Bubble number-density estimates","interactions":[],"lastModifiedDate":"2020-11-11T12:54:47.319828","indexId":"70034625","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Late-Holocene climate evolution at the WAIS Divide site, West Antarctica: Bubble number-density estimates","docAbstract":"A surface cooling of ∼1.7°C occurred over the ∼two millennia prior to ∼1700 CE at the West Antarctic ice sheet (WAIS) Divide site, based on trends in observed bubble number-density of samples from the WDC06A ice core, and on an independently constructed accumulation-rate history using annual-layer dating corrected for density variations and thinning from ice flow. Density increase and grain growth in polar firn are both controlled by temperature and accumulation rate, and the integrated effects are recorded in the number-density of bubbles as the firn changes to ice. Number-density is conserved in bubbly ice following pore close-off, allowing reconstruction of either paleotemperature or paleo-accumulation rate if the other is known. A quantitative late-Holocene paleoclimate reconstruction is presented for West Antarctica using data obtained from the WAIS Divide WDC06A ice core and a steady-state bubble number-density model. The resultant temperature history agrees closely with independent reconstructions based on stable-isotopic ratios of ice. The ∼1.7°C cooling trend observed is consistent with a decrease in Antarctic summer duration from changing orbital obliquity, although it remains possible that elevation change at the site contributed part of the signal. Accumulation rate and temperature dropped together, broadly consistent with control by saturation vapor pressure.
","language":"English","publisher":"Cambridge University Press","doi":"10.3189/002214311797409677","issn":"00221430","usgsCitation":"Fegyveresi, J., Alley, R.B., Spencer, M.K., Fitzpatrick, J.J., Steig, E., White, J., McConnell, J., and Taylor, K., 2011, Late-Holocene climate evolution at the WAIS Divide site, West Antarctica: Bubble number-density estimates: Journal of Glaciology, v. 57, no. 204, p. 629-638, https://doi.org/10.3189/002214311797409677.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":475264,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/002214311797409677","text":"Publisher Index Page"},{"id":243411,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"204","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"505a4563e4b0c8380cd6728c","contributors":{"authors":[{"text":"Fegyveresi, John M.","contributorId":40822,"corporation":false,"usgs":false,"family":"Fegyveresi","given":"John M.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":446739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alley, R. 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J.","contributorId":95078,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steig, E.J.","contributorId":100556,"corporation":false,"usgs":true,"family":"Steig","given":"E.J.","affiliations":[],"preferred":false,"id":446745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, J.W.C.","contributorId":43124,"corporation":false,"usgs":true,"family":"White","given":"J.W.C.","email":"","affiliations":[],"preferred":false,"id":446740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McConnell, J.R.","contributorId":70203,"corporation":false,"usgs":true,"family":"McConnell","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":446742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Taylor, K.C.","contributorId":10470,"corporation":false,"usgs":true,"family":"Taylor","given":"K.C.","email":"","affiliations":[],"preferred":false,"id":446738,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036189,"text":"70036189 - 2011 - Estimating phosphorus availability for microbial growth in an emerging landscape","interactions":[],"lastModifiedDate":"2013-05-14T09:22:16","indexId":"70036189","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Estimating phosphorus availability for microbial growth in an emerging landscape","docAbstract":"Estimating phosphorus (P) availability is difficult—particularly in infertile soils such as those exposed after glacial recession—because standard P extraction methods may not mimic biological acquisition pathways. We developed an approach, based on microbial CO2 production kinetics and conserved carbon:phosphorus (C:P) ratios, to estimate the amount of P available for microbial growth in soils and compared this method to traditional, operationally-defined indicators of P availability. Along a primary succession gradient in the High Andes of Perú, P additions stimulated the growth-related (logistic) kinetics of glutamate mineralization in soils that had been deglaciated from 0 to 5 years suggesting that microbial growth was limited by soil P availability. We then used a logistic model to estimate the amount of C incorporated into biomass in P-limited soils, allowing us to estimate total microbial P uptake based on a conservative C:P ratio of 28:1 (mass:mass). Using this approach, we estimated that there was < 1 μg/g of microbial-available P in recently de-glaciated soils in both years of this study. These estimates fell well below estimates of available soil P obtained using traditional extraction procedures. Our results give both theoretical and practical insights into the kinetics of C and P utilization in young soils, as well as show changes in microbial P availability during early stages of soil development.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoderma","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2011.04.014","issn":"00167061","usgsCitation":"Schmidt, S., Cleveland, C., Nemergut, D., Reed, S., King, A., and Sowell, P., 2011, Estimating phosphorus availability for microbial growth in an emerging landscape: Geoderma, v. 163, no. 1-2, p. 135-140, https://doi.org/10.1016/j.geoderma.2011.04.014.","productDescription":"6 p.","startPage":"135","endPage":"140","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":246148,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218163,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2011.04.014"}],"volume":"163","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b37e4b0c8380cd52613","contributors":{"authors":[{"text":"Schmidt, S.K.","contributorId":58412,"corporation":false,"usgs":true,"family":"Schmidt","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":454729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, C.C.","contributorId":62387,"corporation":false,"usgs":true,"family":"Cleveland","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":454731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nemergut, D.R.","contributorId":68998,"corporation":false,"usgs":true,"family":"Nemergut","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":454732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, S.C.","contributorId":72166,"corporation":false,"usgs":true,"family":"Reed","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":454733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, A.J.","contributorId":62061,"corporation":false,"usgs":true,"family":"King","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":454730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sowell, P.","contributorId":7949,"corporation":false,"usgs":true,"family":"Sowell","given":"P.","email":"","affiliations":[],"preferred":false,"id":454728,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036187,"text":"70036187 - 2011 - Use of waveform lidar and hyperspectral sensors to assess selected spatial and structural patterns associated with recent and repeat disturbance and the abundance of sugar maple (Acer saccharum Marsh.) in a temperate mixed hardwood and conifer forest","interactions":[],"lastModifiedDate":"2018-02-21T15:20:01","indexId":"70036187","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Use of waveform lidar and hyperspectral sensors to assess selected spatial and structural patterns associated with recent and repeat disturbance and the abundance of sugar maple (Acer saccharum Marsh.) in a temperate mixed hardwood and conifer forest","docAbstract":"Waveform lidar imagery was acquired on September 26, 1999 over the Bartlett Experimental Forest (BEF) in New Hampshire (USA) using NASA's Laser Vegetation Imaging Sensor (LVIS). This flight occurred 20 months after an ice storm damaged millions of hectares of forestland in northeastern North America. Lidar measurements of the amplitude and intensity of ground energy returns appeared to readily detect areas of moderate to severe ice storm damage associated with the worst damage. Southern through eastern aspects on side slopes were particularly susceptible to higher levels of damage, in large part overlapping tracts of forest that had suffered the highest levels of wind damage from the 1938 hurricane and containing the highest levels of sugar maple basal area and biomass. The levels of sugar maple abundance were determined through analysis of the 1997 Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) high resolution spectral imagery and inventory of USFS Northern Research Station field plots. We found a relationship between field measurements of stem volume losses and the LVIS metric of mean canopy height (r2 = 0.66; root mean square errors = 5.7 m3/ha, p < 0.0001) in areas that had been subjected to moderate-to-severe ice storm damage, accurately documenting the short-term outcome of a single disturbance event.
","language":"English","publisher":"SPIE","doi":"10.1117/1.3554639","issn":"19313195","usgsCitation":"Anderson, J., Ducey, M.J., Fast, A., Martin, M., Lepine, L., Smith, M., Lee, T., Dubayah, R., Hofton, M., Hyde, P., Peterson, B., and Blair, J., 2011, Use of waveform lidar and hyperspectral sensors to assess selected spatial and structural patterns associated with recent and repeat disturbance and the abundance of sugar maple (Acer saccharum Marsh.) in a temperate mixed hardwood and conifer forest: Journal of Applied Remote Sensing, v. 5, no. 1, Article 053504, https://doi.org/10.1117/1.3554639.","productDescription":"Article 053504","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246116,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218132,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.3554639"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbfb2e4b08c986b329d00","contributors":{"authors":[{"text":"Anderson, J.E.","contributorId":7043,"corporation":false,"usgs":true,"family":"Anderson","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":454713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ducey, Mark J.","contributorId":31659,"corporation":false,"usgs":true,"family":"Ducey","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":454719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fast, A.","contributorId":71811,"corporation":false,"usgs":true,"family":"Fast","given":"A.","email":"","affiliations":[],"preferred":false,"id":454718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, M.E.","contributorId":94097,"corporation":false,"usgs":true,"family":"Martin","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":454722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lepine, L.","contributorId":49640,"corporation":false,"usgs":true,"family":"Lepine","given":"L.","email":"","affiliations":[],"preferred":false,"id":454716,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, M.-L.","contributorId":7119,"corporation":false,"usgs":true,"family":"Smith","given":"M.-L.","email":"","affiliations":[],"preferred":false,"id":454714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, T.D.","contributorId":84607,"corporation":false,"usgs":true,"family":"Lee","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":454721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dubayah, R.O.","contributorId":31242,"corporation":false,"usgs":true,"family":"Dubayah","given":"R.O.","affiliations":[],"preferred":false,"id":454715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hofton, M.A.","contributorId":84198,"corporation":false,"usgs":true,"family":"Hofton","given":"M.A.","affiliations":[],"preferred":false,"id":454720,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hyde, P.","contributorId":64491,"corporation":false,"usgs":true,"family":"Hyde","given":"P.","email":"","affiliations":[],"preferred":false,"id":454717,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":454712,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Blair, J.B.","contributorId":96125,"corporation":false,"usgs":true,"family":"Blair","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":454723,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70036186,"text":"70036186 - 2011 - Thermal structure and dynamics of Saturn's northern springtime disturbance","interactions":[],"lastModifiedDate":"2017-06-30T09:42:38","indexId":"70036186","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Thermal structure and dynamics of Saturn's northern springtime disturbance","docAbstract":"Saturn’s slow seasonal evolution was disrupted in 2010–2011 by the eruption of a bright storm in its northern spring hemisphere. Thermal infrared spectroscopy showed that within a month, the resulting planetary-scale disturbance had generated intense perturbations of atmospheric temperatures, winds, and composition between 20° and 50°N over an entire hemisphere (140,000 kilometers). The tropospheric storm cell produced effects that penetrated hundreds of kilometers into Saturn’s stratosphere (to the 1-millibar region). Stratospheric subsidence at the edges of the disturbance produced “beacons” of infrared emission and longitudinal temperature contrasts of 16 kelvin. The disturbance substantially altered atmospheric circulation, transporting material vertically over great distances, modifying stratospheric zonal jets, exciting wave activity and turbulence, and generating a new cold anticyclonic oval in the center of the disturbance at 41°N.
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States\"}}]}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505ba8b1e4b08c986b321db4","contributors":{"authors":[{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":213621,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":446734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":446737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":446735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":446736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034619,"text":"70034619 - 2011 - Estimating water supply arsenic levels in the New England bladder cancer study","interactions":[],"lastModifiedDate":"2021-04-14T21:03:52.593427","indexId":"70034619","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1542,"text":"Environmental Health Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"Estimating water supply arsenic levels in the New England bladder cancer study","docAbstract":"Background: Ingestion of inorganic arsenic in drinking water is recognized as a cause of bladder cancer when levels are relatively high (≥ 150 µg/L). The epidemiologic evidence is less clear at the low-to-moderate concentrations typically observed in the United States. Accurate retrospective exposure assessment over a long time period is a major challenge in conducting epidemiologic studies of environmental factors and diseases with long latency, such as cancer.
Objective: We estimated arsenic concentrations in the water supplies of 2,611 participants in a population-based case–control study in northern New England.
Methods: Estimates covered the lifetimes of most study participants and were based on a combination of arsenic measurements at the homes of the participants and statistical modeling of arsenic concentrations in the water supply of both past and current homes. We assigned a residential water supply arsenic concentration for 165,138 (95%) of the total 173,361 lifetime exposure years (EYs) and a workplace water supply arsenic level for 85,195 EYs (86% of reported occupational years).
Results: Three methods accounted for 93% of the residential estimates of arsenic concentration: direct measurement of water samples (27%; median, 0.3 µg/L; range, 0.1–11.5), statistical models of water utility measurement data (49%; median, 0.4 µg/L; range, 0.3–3.3), and statistical models of arsenic concentrations in wells using aquifers in New England (17%; median, 1.6 µg/L; range, 0.6–22.4).
Conclusions: We used a different validation procedure for each of the three methods, and found our estimated levels to be comparable with available measured concentrations. This methodology allowed us to calculate potential drinking water exposure over long periods.
We present evidence of widespread aeolian activity in the Arabia Terra/Meridiani region (Mars), where different kinds of aeolian modifications have been detected and classified. Passing from the regional to the local scale, we describe one particular dune field in Meridiani Planum, where two ripple populations are distinguished by means of different migration rates. Moreover, a consistent change in the ripple pattern is accompanied by significant dune advancement (between 0.4–1 meter in one Martian year) that is locally triggered by large avalanche features. This suggests that dune advancement may be common throughout the Martian tropics.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL048955","issn":"00948276","usgsCitation":"Silvestro, S., Vaz, D., Fenton, L., and Geissler, P.E., 2011, Active aeolian processes on Mars: A regional study in Arabia and Meridiani Terrae: Geophysical Research Letters, v. 38, no. 20, L20201, 6 p., https://doi.org/10.1029/2011GL048955.","productDescription":"L20201, 6 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":246465,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218455,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL048955"}],"volume":"38","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-10-22","publicationStatus":"PW","scienceBaseUri":"5059e6aae4b0c8380cd47580","contributors":{"authors":[{"text":"Silvestro, S.","contributorId":18211,"corporation":false,"usgs":true,"family":"Silvestro","given":"S.","affiliations":[],"preferred":false,"id":454644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaz, D.A.","contributorId":84606,"corporation":false,"usgs":true,"family":"Vaz","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":454646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenton, L.K.","contributorId":102189,"corporation":false,"usgs":true,"family":"Fenton","given":"L.K.","affiliations":[],"preferred":false,"id":454647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":454645,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036175,"text":"70036175 - 2011 - Scale-dependent factors affecting North American river otter distribution in the midwest","interactions":[],"lastModifiedDate":"2021-06-04T16:48:27.777773","indexId":"70036175","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Scale-dependent factors affecting North American river otter distribution in the midwest","docAbstract":"The North American river otter (Lontra canadensis) is recovering from near extirpation throughout much of its range. Although reintroductions, trapping regulations and habitat improvements have led to the reestablishment of river otters in the Midwest, little is known about how their distribution is influenced by local- and landscape-scale habitat. We conducted river otter sign surveys from Jan. to Apr. in 2008 and 2009 in eastern Kansas to assess how local- and landscape-scale habitat factors affect river otter occupancy. We surveyed three to nine 400-m stretches of stream and reservoir shorelines for 110 sites and measured local-scale variables (e.g., stream order, land cover types) within a 100 m buffer of the survey site and landscape-scale variables (e.g., road density, land cover types) for Hydrological Unit Code 14 watersheds. We then used occupancy models that account for the probability of detection to estimate occupancy as a function of these covariates using Program PRESENCE. The best-fitting model indicated river otter occupancy increased with the proportion of woodland cover and decreased with the proportion of cropland and grassland cover at the local scale. Occupancy also increased with decreased shoreline diversity, waterbody density and stream density at the landscape scale. Occupancy was not affected by land cover or human disturbance at the landscape scale. Understanding the factors and scale important to river otter occurrence will be useful in identifying areas for management and continued restoration.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-166.1.177","usgsCitation":"Jeffress, M.R., Paukert, C.P., Whittier, J.B., Sandercock, B.K., and Gipson, P.S., 2011, Scale-dependent factors affecting North American river otter distribution in the midwest: American Midland Naturalist, v. 166, no. 1, p. 177-193, https://doi.org/10.1674/0003-0031-166.1.177.","productDescription":"17 p.","startPage":"177","endPage":"193","ipdsId":"IP-015089","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":352,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":246464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Eastern Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.658203125,\n 36.98500309285596\n ],\n [\n -94.3505859375,\n 36.932330061503144\n ],\n [\n -94.32861328125,\n 37.020098201368114\n ],\n [\n -94.32861328125,\n 37.71859032558816\n ],\n [\n -94.3505859375,\n 39.13006024213511\n ],\n [\n -94.7515869140625,\n 39.7240885773337\n ],\n [\n -94.833984375,\n 39.93501296038254\n ],\n [\n -95.11962890625,\n 39.918162846609455\n ],\n [\n -95.29541015625,\n 40.027614437486655\n ],\n [\n -97.05322265625,\n 40.027614437486655\n ],\n [\n -96.83349609375,\n 37.00255267215955\n ],\n [\n -96.48193359375,\n 36.932330061503144\n ],\n [\n -94.658203125,\n 36.98500309285596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"166","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b870de4b08c986b31629b","contributors":{"authors":[{"text":"Jeffress, Mackenzie R.","contributorId":67346,"corporation":false,"usgs":true,"family":"Jeffress","given":"Mackenzie","email":"","middleInitial":"R.","affiliations":[{"id":352,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":454642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":454639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":454640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandercock, B. K.","contributorId":61382,"corporation":false,"usgs":false,"family":"Sandercock","given":"B.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":454641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gipson, P. S.","contributorId":70136,"corporation":false,"usgs":false,"family":"Gipson","given":"P.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":454643,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034615,"text":"70034615 - 2011 - East Antarctic rifting triggers uplift of the Gamburtsev Mountains","interactions":[],"lastModifiedDate":"2019-07-10T14:00:32","indexId":"70034615","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"East Antarctic rifting triggers uplift of the Gamburtsev Mountains","docAbstract":"The Gamburtsev Subglacial Mountains are the least understood tectonic feature on Earth, because they are completely hidden beneath the East Antarctic Ice Sheet. Their high elevation and youthful Alpine topography, combined with their location on the East Antarctic craton, creates a paradox that has puzzled researchers since the mountains were discovered in 1958. The preservation of Alpine topography in the Gamburtsevs may reflect extremely low long-term erosion rates beneath the ice sheet, but the mountains’ origin remains problematic. Here we present the first comprehensive view of the crustal architecture and uplift mechanisms for the Gamburtsevs, derived from radar, gravity and magnetic data. The geophysical data define a 2,500-km-long rift system in East Antarctica surrounding the Gamburtsevs, and a thick crustal root beneath the range. We propose that the root formed during the Proterozoic assembly of interior East Antarctica (possibly about 1 Gyr ago), was preserved as in some old orogens and was rejuvenated during much later Permian (roughly 250 Myr ago) and Cretaceous (roughly 100 Myr ago) rifting. Much like East Africa, the interior of East Antarctica is a mosaic of Precambrian provinces affected by rifting processes. Our models show that the combination of rift-flank uplift, root buoyancy and the isostatic response to fluvial and glacial erosion explains the high elevation and relief of the Gamburtsevs. The evolution of the Gamburtsevs demonstrates that rifting and preserved orogenic roots can produce broad regions of high topography in continental interiors without significantly modifying the underlying Precambrian lithosphere.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nature10566","issn":"00280836","usgsCitation":"Ferraccioli, F., Finn, C.A., Jordan, T.A., Bell, R.E., Anderson, L.M., and Damaske, D., 2011, East Antarctic rifting triggers uplift of the Gamburtsev Mountains: Nature, v. 479, no. 7373, p. 388-392, https://doi.org/10.1038/nature10566.","productDescription":"5 p.","startPage":"388","endPage":"392","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":422,"text":"National Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":243757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215921,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nature10566"}],"otherGeospatial":"Gamburtsev Mountain Range","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 74.7,-83.1 ], [ 74.7,-77.7 ], [ 80.1,-77.7 ], [ 80.1,-83.1 ], [ 74.7,-83.1 ] ] ] } } ] }","volume":"479","issue":"7373","noUsgsAuthors":false,"publicationDate":"2011-11-16","publicationStatus":"PW","scienceBaseUri":"505a052de4b0c8380cd50cb8","contributors":{"authors":[{"text":"Ferraccioli, Fausto","contributorId":43591,"corporation":false,"usgs":true,"family":"Ferraccioli","given":"Fausto","email":"","affiliations":[],"preferred":false,"id":446676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":446674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, Tom A.","contributorId":104304,"corporation":false,"usgs":true,"family":"Jordan","given":"Tom","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":446678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell, Robin E.","contributorId":26902,"corporation":false,"usgs":true,"family":"Bell","given":"Robin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":446675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Lester M.","contributorId":105553,"corporation":false,"usgs":true,"family":"Anderson","given":"Lester","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":446679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Damaske, Detlef","contributorId":77384,"corporation":false,"usgs":true,"family":"Damaske","given":"Detlef","email":"","affiliations":[],"preferred":false,"id":446677,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034453,"text":"70034453 - 2011 - High-frequency Born synthetic seismograms based on coupled normal modes","interactions":[],"lastModifiedDate":"2021-04-20T16:06:14.405714","indexId":"70034453","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency Born synthetic seismograms based on coupled normal modes","docAbstract":"High-frequency and full waveform synthetic seismograms on a 3-D laterally heterogeneous earth model are simulated using the theory of coupled normal modes. The set of coupled integral equations that describe the 3-D response are simplified into a set of uncoupled integral equations by using the Born approximation to calculate scattered wavefields and the pure-path approximation to modulate the phase of incident and scattered wavefields. This depends upon a decomposition of the aspherical structure into smooth and rough components. The uncoupled integral equations are discretized and solved in the frequency domain, and time domain results are obtained by inverse Fourier transform. Examples show the utility of the normal mode approach to synthesize the seismic wavefields resulting from interaction with a combination of rough and smooth structural heterogeneities. This approach is applied to an ~4 Hz shallow crustal wave propagation around the site of the San Andreas Fault Observatory at Depth (SAFOD).
","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2011.05188.x","issn":"0956540X","usgsCitation":"Pollitz, F., 2011, High-frequency Born synthetic seismograms based on coupled normal modes: Geophysical Journal International, v. 187, no. 3, p. 1420-1442, https://doi.org/10.1111/j.1365-246X.2011.05188.x.","productDescription":"23 p.","startPage":"1420","endPage":"1442","costCenters":[],"links":[{"id":487189,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.05188.x","text":"Publisher Index Page"},{"id":244792,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216894,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.05188.x"}],"volume":"187","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-10-05","publicationStatus":"PW","scienceBaseUri":"505a30e8e4b0c8380cd5da57","contributors":{"authors":[{"text":"Pollitz, F.","contributorId":66449,"corporation":false,"usgs":true,"family":"Pollitz","given":"F.","affiliations":[],"preferred":false,"id":445867,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034449,"text":"70034449 - 2011 - Quantifying the hydrological responses to climate change in an intact forested small watershed in Southern China","interactions":[],"lastModifiedDate":"2021-04-20T16:50:44.05911","indexId":"70034449","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the hydrological responses to climate change in an intact forested small watershed in Southern China","docAbstract":"Responses of hydrological processes to climate change are key components in the Intergovernmental Panel for Climate Change (IPCC) assessment. Understanding these responses is critical for developing appropriate mitigation and adaptation strategies for sustainable water resources management and protection of public safety. However, these responses are not well understood and little long‐term evidence exists. Herein, we show how climate change, specifically increased air temperature and storm intensity, can affect soil moisture dynamics and hydrological variables based on both long‐term observation and model simulations using the Soil and Water Assessment Tool (SWAT) in an intact forested watershed (the Dinghushan Biosphere Reserve) in Southern China. Our results show that, although total annual precipitation changed little from 1950 to 2009, soil moisture decreased significantly. A significant decline was also found in the monthly 7‐day low flow from 2000 to 2009. However, the maximum daily streamflow in the wet season and unconfined groundwater tables have significantly increased during the same 10‐year period. The significant decreasing trends on soil moisture and low flow variables suggest that the study watershed is moving towards drought‐like condition. Our analysis indicates that the intensification of rainfall storms and the increasing number of annual no‐rain days were responsible for the increasing chance of both droughts and floods. We conclude that climate change has indeed induced more extreme hydrological events (e.g. droughts and floods) in this watershed and perhaps other areas of Southern China. This study also demonstrated usefulness of our research methodology and its possible applications on quantifying the impacts of climate change on hydrology in any other watersheds where long‐term data are available and human disturbance is negligible.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2011.02499.x","issn":"13541013","usgsCitation":"Zhou, G., Wei, X., Wu, Y., Huang, Y., Yan, J., Zhang, D., Zhang, Q., Liu, J., Meng, Z., Wang, C., Chu, G., Liu, S., Tang, X., and Liu, X., 2011, Quantifying the hydrological responses to climate change in an intact forested small watershed in Southern China: Global Change Biology, v. 17, no. 12, p. 3736-3746, https://doi.org/10.1111/j.1365-2486.2011.02499.x.","productDescription":"11 p.","startPage":"3736","endPage":"3746","costCenters":[],"links":[{"id":244756,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216858,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2011.02499.x"}],"volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-08-02","publicationStatus":"PW","scienceBaseUri":"505a91e7e4b0c8380cd8052b","contributors":{"authors":[{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":445839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":445844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Y.","contributorId":79312,"corporation":false,"usgs":true,"family":"Wu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Y.","contributorId":62000,"corporation":false,"usgs":true,"family":"Huang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yan, J.","contributorId":24480,"corporation":false,"usgs":true,"family":"Yan","given":"J.","email":"","affiliations":[],"preferred":false,"id":445841,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Dongxiao","contributorId":26409,"corporation":false,"usgs":true,"family":"Zhang","given":"Dongxiao","email":"","affiliations":[],"preferred":false,"id":445842,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Q.","contributorId":84163,"corporation":false,"usgs":true,"family":"Zhang","given":"Q.","email":"","affiliations":[],"preferred":false,"id":445850,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":445840,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meng, Z.","contributorId":54818,"corporation":false,"usgs":true,"family":"Meng","given":"Z.","email":"","affiliations":[],"preferred":false,"id":445846,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, C.","contributorId":50689,"corporation":false,"usgs":true,"family":"Wang","given":"C.","email":"","affiliations":[],"preferred":false,"id":445845,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chu, G.","contributorId":87001,"corporation":false,"usgs":true,"family":"Chu","given":"G.","email":"","affiliations":[],"preferred":false,"id":445851,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":445852,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tang, X.","contributorId":43082,"corporation":false,"usgs":true,"family":"Tang","given":"X.","email":"","affiliations":[],"preferred":false,"id":445843,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Liu, Xiuying","contributorId":76529,"corporation":false,"usgs":true,"family":"Liu","given":"Xiuying","email":"","affiliations":[],"preferred":false,"id":445848,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70035394,"text":"70035394 - 2011 - Shallow conduit system at Kilauea Volcano, Hawaii, revealed by seismic signals associated with degassing bursts","interactions":[],"lastModifiedDate":"2012-12-10T16:10:47","indexId":"70035394","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Shallow conduit system at Kilauea Volcano, Hawaii, revealed by seismic signals associated with degassing bursts","docAbstract":"Eruptive activity at the summit of Kilauea Volcano, Hawaii, beginning in March, 2008 and continuing to the present time is characterized by episodic explosive bursts of gas and ash from a vent within Halemaumau Pit Crater. These bursts are accompanied by seismic signals that are well recorded by a broadband network deployed in the summit caldera. We investigate in detail the dimensions and oscillation modes of the source of a representative burst in the 1−10 s band. An extended source is realized by a set of point sources distributed on a grid surrounding the source centroid, where the centroid position and source geometry are fixed from previous modeling of very-long-period (VLP) data in the 10–50 s band. The source time histories of all point sources are obtained simultaneously through waveform inversion carried out in the frequency domain. Short-scale noisy fluctuations of the source time histories between adjacent sources are suppressed with a smoothing constraint, whose strength is determined through a minimization of the Akaike Bayesian Information Criterion (ABIC). Waveform inversions carried out for homogeneous and heterogeneous velocity structures both image a dominant source component in the form of an east trending dike with dimensions of 2.9 × 2.9 km. The dike extends ∼2 km west and ∼0.9 km east of the VLP centroid and spans the depth range 0.2–3.1 km. The source model for a homogeneous velocity structure suggests the dike is hinged at the source centroid where it bends from a strike E 27°N with northern dip of 85° west of the centroid, to a strike E 7°N with northern dip of 80° east of the centroid. The oscillating behavior of the dike is dominated by simple harmonic modes with frequencies ∼0.2 Hz and ∼0.5 Hz, representing the fundamental mode ν11 and first degenerate mode ν12 = ν21 of the dike. Although not strongly supported by data in the 1–10 s band, a north striking dike segment is required for enhanced compatibility with the model elaborated in the 10–50 s band. This dike provides connectivity between the east trending dike and the new vent within Halemaumau Pit Crater. Waveform inversions with a dual-dike model suggest dimensions of 0.7 × 0.7 km to 2.6 × 2.6 km for this segment. Further elaboration of the complex dike system under Halemaumau does not appear to be feasible with presently available data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JB008677","issn":"01480227","usgsCitation":"Chouet, B., and Dawson, P., 2011, Shallow conduit system at Kilauea Volcano, Hawaii, revealed by seismic signals associated with degassing bursts: Journal of Geophysical Research B: Solid Earth, v. 116, no. 12, https://doi.org/10.1029/2011JB008677.","productDescription":"22 p.","startPage":"B12317","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487252,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jb008677","text":"Publisher Index Page"},{"id":215229,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JB008677"},{"id":243018,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.056854 ], [ -155.798371,19.550464 ], [ -155.016307,19.550464 ], [ -155.016307,19.056854 ], [ -155.798371,19.056854 ] ] ] } } ] }","volume":"116","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-12-29","publicationStatus":"PW","scienceBaseUri":"505b8e1ae4b08c986b31872d","contributors":{"authors":[{"text":"Chouet, Bernard","contributorId":65485,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","affiliations":[],"preferred":false,"id":450449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Phillip","contributorId":21780,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","affiliations":[],"preferred":false,"id":450448,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035395,"text":"70035395 - 2011 - Potential increase in floods in California's Sierra Nevada under future climate projections","interactions":[],"lastModifiedDate":"2021-02-24T19:19:07.269921","indexId":"70035395","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Potential increase in floods in California's Sierra Nevada under future climate projections","docAbstract":"California’s mountainous topography, exposure to occasional heavily moisture-laden storm systems, and varied communities and infrastructures in low lying areas make it highly vulnerable to floods. An important question facing the state—in terms of protecting the public and formulating water management responses to climate change—is “how might future climate changes affect flood characteristics in California?” To help address this, we simulate floods on the western slopes of the Sierra Nevada Mountains, the state’s primary catchment, based on downscaled daily precipitation and temperature projections from three General Circulation Models (GCMs). These climate projections are fed into the Variable Infiltration Capacity (VIC) hydrologic model, and the VIC-simulated streamflows and hydrologic conditions, from historical and from projected climate change runs, allow us to evaluate possible changes in annual maximum 3-day flood magnitudes and frequencies of floods. By the end of the 21st Century, all projections yield larger-than-historical floods, for both the Northern Sierra Nevada (NSN) and for the Southern Sierra Nevada (SSN). The increases in flood magnitude are statistically significant (at p <= 0.01) for all the three GCMs in the period 2051–2099. The frequency of flood events above selected historical thresholds also increases under projections from CNRM CM3 and NCAR PCM1 climate models, while under the third scenario, GFDL CM2.1, frequencies remain constant or decline slightly, owing to an overall drying trend. These increases appear to derive jointly from increases in heavy precipitation amount, storm frequencies, and days with more precipitation falling as rain and less as snow. Increases in antecedent winter soil moisture also play a role in some areas. Thus, a complex, as-yet unpredictable interplay of several different climatic influences threatens to cause increased flood hazards in California’s complex western Sierra landscapes.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10584-011-0298-z","issn":"01650009","usgsCitation":"Das, T., Dettinger, M.D., Cayan, D., and Hidalgo, H., 2011, Potential increase in floods in California's Sierra Nevada under future climate projections: Climatic Change, v. 109, no. SUPPL. 1, p. 71-94, https://doi.org/10.1007/s10584-011-0298-z.","productDescription":"24 p.","startPage":"71","endPage":"94","costCenters":[],"links":[{"id":487253,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://link.springer.com/article/10.1007%2Fs10584-011-0298-z","text":"External Repository"},{"id":243019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215230,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0298-z"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.0146484375,\n 41.96765920367816\n ],\n [\n -122.6953125,\n 42.032974332441405\n ],\n [\n -122.82714843749999,\n 39.605688178320804\n ],\n [\n -122.16796875,\n 38.51378825951165\n ],\n [\n -120.0146484375,\n 36.94989178681327\n ],\n [\n -118.564453125,\n 37.996162679728116\n ],\n [\n -120.0146484375,\n 38.85682013474361\n ],\n [\n -120.0146484375,\n 41.96765920367816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationDate":"2011-11-24","publicationStatus":"PW","scienceBaseUri":"505a7f43e4b0c8380cd7aa11","contributors":{"authors":[{"text":"Das, T.","contributorId":99383,"corporation":false,"usgs":true,"family":"Das","given":"T.","email":"","affiliations":[],"preferred":false,"id":450453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":450452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":450450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hidalgo, H.G.","contributorId":81229,"corporation":false,"usgs":true,"family":"Hidalgo","given":"H.G.","email":"","affiliations":[],"preferred":false,"id":450451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034448,"text":"70034448 - 2011 - Integration of Palmer Drought Severity Index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood Lake area, North Dakota","interactions":[],"lastModifiedDate":"2018-02-21T10:53:22","indexId":"70034448","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Integration of Palmer Drought Severity Index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood Lake area, North Dakota","docAbstract":"Spatiotemporal variations of wetland water in the Prairie Pothole Region are controlled by many factors; two of them are temperature and precipitation that form the basis of the Palmer Drought Severity Index (PDSI). Taking the 196 km2 Cottonwood Lake area in North Dakota as our pilot study site, we integrated PDSI, Landsat images, and aerial photography records to simulate monthly water surface. First, we developed a new Wetland Water Area Index (WWAI) from PDSI to predict water surface area. Second, we developed a water allocation model to simulate the spatial distribution of water bodies at a resolution of 30 m. Third, we used an additional procedure to model the small wetlands (less than 0.8 ha) that could not be detected by Landsat. Our results showed that i) WWAI was highly correlated with water area with an R2 of 0.90, resulting in a simple regression prediction of monthly water area to capture the intra- and inter-annual water change from 1910 to 2009; ii) the spatial distribution of water bodies modeled from our approach agreed well with the water locations visually identified from the aerial photography records; and iii) the R2 between our modeled water bodies (including both large and small wetlands) and those from aerial photography records could be up to 0.83 with a mean average error of 0.64 km2 within the study area where the modeled wetland water areas ranged from about 2 to 14 km2. These results indicate that our approach holds great potential to simulate major changes in wetland water surface for ecosystem service; however, our products could capture neither the short-term water change caused by intensive rainstorm events nor the wetland change caused by human activities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2011.08.002","issn":"00344257","usgsCitation":"Huang, S., Dahal, D., Young, C., Chander, G., and Liu, S., 2011, Integration of Palmer Drought Severity Index and remote sensing data to simulate wetland water surface from 1910 to 2009 in Cottonwood Lake area, North Dakota: Remote Sensing of Environment, v. 115, no. 12, p. 3377-3389, https://doi.org/10.1016/j.rse.2011.08.002.","productDescription":"13 p.","startPage":"3377","endPage":"3389","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":216832,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2011.08.002"},{"id":244727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Cottonwood Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.05,45.9351 ], [ -104.05,49.0007 ], [ -96.5545,49.0007 ], [ -96.5545,45.9351 ], [ -104.05,45.9351 ] ] ] } } ] }","volume":"115","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c88e4b0c8380cd62dff","contributors":{"authors":[{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":445835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":445834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":191382,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":445836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":445837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":445838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034441,"text":"70034441 - 2011 - Titan's cloud seasonal activity from winter to spring with Cassini/VIMS","interactions":[],"lastModifiedDate":"2021-04-20T17:33:52.496336","indexId":"70034441","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Titan's cloud seasonal activity from winter to spring with Cassini/VIMS","docAbstract":"Since Saturn orbital insertion in July 2004, the Cassini orbiter has been observing Titan throughout most of the northern winter season (October 2002–August 2009) and the beginning of spring, allowing a detailed monitoring of Titan’s cloud coverage at high spatial resolution with close flybys on a monthly basis. This study reports on the analysis of all the near-infrared images of Titan’s clouds acquired by the Visual and Infrared Mapping Spectrometer (VIMS) during 67 targeted flybys of Titan between July 2004 and April 2010.
The VIMS observations show numerous sporadic clouds at southern high and mid-latitudes, rare clouds in the equatorial region, and reveal a long-lived cloud cap above the north pole, ubiquitous poleward of 60°N. These observations allow us to follow the evolution of the cloud coverage during almost a 6-year period including the equinox, and greatly help to further constrain global circulation models (GCMs). After 4 years of regular outbursts observed by Cassini between 2004 and 2008, southern polar cloud activity started declining, and completely ceased 1 year before spring equinox. The extensive cloud system over the north pole, stable between 2004 and 2008, progressively fractionated and vanished as Titan entered into northern spring. At southern mid-latitudes, clouds were continuously observed throughout the VIMS observing period, even after equinox, in a latitude band between 30°S and 60°S. During the whole period of observation, only a dozen clouds were observed closer to the equator, though they were slightly more frequent as equinox approached.
We also investigated the distribution of clouds with longitude. We found that southern polar clouds, before disappearing in mid-2008, were systematically concentrated in the leading hemisphere of Titan, in particular above and to the east of Ontario Lacus, the largest reservoir of hydrocarbons in the area. Clouds are also non-homogeneously distributed with longitude at southern mid-latitudes. The n = 2-mode wave pattern of the distribution, observed since 2003 by Earth-based telescopes and confirmed by our Cassini observations, may be attributed to Saturn’s tides.
Although the latitudinal distribution of clouds is now relatively well reproduced and understood by the GCMs, the non-homogeneous longitudinal distributions and the evolution of the cloud coverage with seasons still need investigation. If the observation of a few single clouds at the tropics and at northern mid-latitudes late in winter and at the start of spring cannot be further interpreted for the moment, the obvious shutdown of the cloud activity at Titan’s poles provides clear signs of the onset of the general circulation turnover that is expected to accompany the beginning of Titan’s northern spring. According to our GCM, the persistence of clouds at certain latitudes rather suggests a ‘sudden’ shift in near future of the meteorology into the more illuminated hemisphere. Finally, the observed seasonal change in cloud activity occurred with a significant time lag that is not predicted by our model. This may be due to an overall methane humidity at Titan’s surface higher than previously expected.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2011.07.031","issn":"00191035","usgsCitation":"Rodriguez, S., Le Mouelic, S., Rannou, P., Sotin, C., Brown, R.H., Barnes, J.W., Griffith, C., Burgalat, J., Baines, K.H., Buratti, B.J., Clark, R.N., and Nicholson, P.D., 2011, Titan's cloud seasonal activity from winter to spring with Cassini/VIMS: Icarus, v. 216, no. 1, p. 89-110, https://doi.org/10.1016/j.icarus.2011.07.031.","productDescription":"22 p.","startPage":"89","endPage":"110","costCenters":[],"links":[{"id":475239,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-03657788","text":"External Repository"},{"id":244596,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216710,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2011.07.031"}],"volume":"216","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb419e4b08c986b326198","contributors":{"authors":[{"text":"Rodriguez, S.","contributorId":54329,"corporation":false,"usgs":false,"family":"Rodriguez","given":"S.","email":"","affiliations":[],"preferred":false,"id":445797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Le Mouelic, S.","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouelic","given":"S.","affiliations":[],"preferred":false,"id":445800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rannou, P.","contributorId":19761,"corporation":false,"usgs":true,"family":"Rannou","given":"P.","email":"","affiliations":[],"preferred":false,"id":445792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":445796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnes, J. W.","contributorId":14554,"corporation":false,"usgs":false,"family":"Barnes","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":445791,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffith, C.A.","contributorId":10141,"corporation":false,"usgs":true,"family":"Griffith","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":445790,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burgalat, J.","contributorId":28831,"corporation":false,"usgs":true,"family":"Burgalat","given":"J.","email":"","affiliations":[],"preferred":false,"id":445794,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445795,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":445799,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":445789,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":445798,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70034440,"text":"70034440 - 2011 - A working environment for digital planetary data processing and mapping using ISIS and GRASS GIS","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034440","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A working environment for digital planetary data processing and mapping using ISIS and GRASS GIS","docAbstract":"Since the beginning of planetary exploration, mapping has been fundamental to summarize observations returned by scientific missions. Sensor-based mapping has been used to highlight specific features from the planetary surfaces by means of processing. Interpretative mapping makes use of instrumental observations to produce thematic maps that summarize observations of actual data into a specific theme. Geologic maps, for example, are thematic interpretative maps that focus on the representation of materials and processes and their relative timing. The advancements in technology of the last 30 years have allowed us to develop specialized systems where the mapping process can be made entirely in the digital domain. The spread of networked computers on a global scale allowed the rapid propagation of software and digital data such that every researcher can now access digital mapping facilities on his desktop. The efforts to maintain planetary missions data accessible to the scientific community have led to the creation of standardized digital archives that facilitate the access to different datasets by software capable of processing these data from the raw level to the map projected one. Geographic Information Systems (GIS) have been developed to optimize the storage, the analysis, and the retrieval of spatially referenced Earth based environmental geodata; since the last decade these computer programs have become popular among the planetary science community, and recent mission data start to be distributed in formats compatible with these systems. Among all the systems developed for the analysis of planetary and spatially referenced data, we have created a working environment combining two software suites that have similar characteristics in their modular design, their development history, their policy of distribution and their support system. The first, the Integrated Software for Imagers and Spectrometers (ISIS) developed by the United States Geological Survey, represents the state of the art for processing planetary remote sensing data, from the raw unprocessed state to the map projected product. The second, the Geographic Resources Analysis Support System (GRASS) is a Geographic Information System developed by an international team of developers, and one of the core projects promoted by the Open Source Geospatial Foundation (OSGeo). We have worked on enabling the combined use of these software systems throughout the set-up of a common user interface, the unification of the cartographic reference system nomenclature and the minimization of data conversion. Both software packages are distributed with free open source licenses, as well as the source code, scripts and configuration files hereafter presented. In this paper we describe our work done to merge these working environments into a common one, where the user benefits from functionalities of both systems without the need to switch or transfer data from one software suite to the other one. Thereafter we provide an example of its usage in the handling of planetary data and the crafting of a digital geologic map. ?? 2010 Elsevier Ltd. All rights reserved.","largerWorkTitle":"Planetary and Space Science","language":"English","doi":"10.1016/j.pss.2010.12.008","issn":"00320633","usgsCitation":"Frigeri, A., Hare, T., Neteler, M., Coradini, A., Federico, C., and Orosei, R., 2011, A working environment for digital planetary data processing and mapping using ISIS and GRASS GIS, in Planetary and Space Science, v. 59, no. 11-12, p. 1265-1272, https://doi.org/10.1016/j.pss.2010.12.008.","startPage":"1265","endPage":"1272","numberOfPages":"8","costCenters":[],"links":[{"id":216680,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.pss.2010.12.008"},{"id":244565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"11-12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e620e4b0c8380cd47199","contributors":{"authors":[{"text":"Frigeri, A.","contributorId":85799,"corporation":false,"usgs":true,"family":"Frigeri","given":"A.","affiliations":[],"preferred":false,"id":445788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hare, T.","contributorId":34503,"corporation":false,"usgs":true,"family":"Hare","given":"T.","email":"","affiliations":[],"preferred":false,"id":445784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neteler, M.","contributorId":37989,"corporation":false,"usgs":true,"family":"Neteler","given":"M.","email":"","affiliations":[],"preferred":false,"id":445786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coradini, A.","contributorId":34679,"corporation":false,"usgs":true,"family":"Coradini","given":"A.","affiliations":[],"preferred":false,"id":445785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Federico, C.","contributorId":42460,"corporation":false,"usgs":true,"family":"Federico","given":"C.","email":"","affiliations":[],"preferred":false,"id":445787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orosei, R.","contributorId":28347,"corporation":false,"usgs":true,"family":"Orosei","given":"R.","affiliations":[],"preferred":false,"id":445783,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034438,"text":"70034438 - 2011 - Surface-water nutrient conditions and sources in the United States Pacific Northwest","interactions":[],"lastModifiedDate":"2012-12-19T15:51:00","indexId":"70034438","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Surface-water nutrient conditions and sources in the United States Pacific Northwest","docAbstract":"The SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was used to perform an assessment of surface-water nutrient conditions and to identify important nutrient sources in watersheds of the Pacific Northwest region of the United States (U.S.) for the year 2002. Our models included variables representing nutrient sources as well as landscape characteristics that affect nutrient delivery to streams. Annual nutrient yields were higher in watersheds on the wetter, west side of the Cascade Range compared to watersheds on the drier, east side. High nutrient enrichment (relative to the U.S. Environmental Protection Agency's recommended nutrient criteria) was estimated in watersheds throughout the region. Forest land was generally the largest source of total nitrogen stream load and geologic material was generally the largest source of total phosphorus stream load generated within the 12,039 modeled watersheds. These results reflected the prevalence of these two natural sources and the low input from other nutrient sources across the region. However, the combined input from agriculture, point sources, and developed land, rather than natural nutrient sources, was responsible for most of the nutrient load discharged from many of the largest watersheds. Our results provided an understanding of the regional patterns in surface-water nutrient conditions and should be useful to environmental managers in future water-quality planning efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1752-1688.2011.00580.x","issn":"1093474X","usgsCitation":"Wise, D., and Johnson, H., 2011, Surface-water nutrient conditions and sources in the United States Pacific Northwest: Journal of the American Water Resources Association, v. 47, no. 5, p. 1110-1135, https://doi.org/10.1111/j.1752-1688.2011.00580.x.","productDescription":"26 p.","startPage":"1110","endPage":"1135","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":475401,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00580.x","text":"Publisher Index Page"},{"id":244532,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216649,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00580.x"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7857,41.99 ], [ -124.7857,49.0024 ], [ -111.04,49.0024 ], [ -111.04,41.99 ], [ -124.7857,41.99 ] ] ] } } ] }","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505ba16ee4b08c986b31f0a1","contributors":{"authors":[{"text":"Wise, D.R.","contributorId":44762,"corporation":false,"usgs":true,"family":"Wise","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":445779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, H.M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":75339,"corporation":false,"usgs":true,"family":"Johnson","given":"H.M.","affiliations":[],"preferred":false,"id":445780,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}