{"pageNumber":"908","pageRowStart":"22675","pageSize":"25","recordCount":40797,"records":[{"id":70032036,"text":"70032036 - 2008 - Map scale effects on estimating the number of undiscovered mineral deposits","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70032036","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Map scale effects on estimating the number of undiscovered mineral deposits","docAbstract":"Estimates of numbers of undiscovered mineral deposits, fundamental to assessing mineral resources, are affected by map scale. Where consistently defined deposits of a particular type are estimated, spatial and frequency distributions of deposits are linked in that some frequency distributions can be generated by processes randomly in space whereas others are generated by processes suggesting clustering in space. Possible spatial distributions of mineral deposits and their related frequency distributions are affected by map scale and associated inclusions of non-permissive or covered geological settings. More generalized map scales are more likely to cause inclusion of geologic settings that are not really permissive for the deposit type, or that include unreported cover over permissive areas, resulting in the appearance of deposit clustering. Thus, overly generalized map scales can cause deposits to appear clustered. We propose a model that captures the effects of map scale and the related inclusion of non-permissive geologic settings on numbers of deposits estimates, the zero-inflated Poisson distribution. Effects of map scale as represented by the zero-inflated Poisson distribution suggest that the appearance of deposit clustering should diminish as mapping becomes more detailed because the number of inflated zeros would decrease with more detailed maps. Based on observed worldwide relationships between map scale and areas permissive for deposit types, mapping at a scale with twice the detail should cut permissive area size of a porphyry copper tract to 29% and a volcanic-hosted massive sulfide tract to 50% of their original sizes. Thus some direct benefits of mapping an area at a more detailed scale are indicated by significant reductions in areas permissive for deposit types, increased deposit density and, as a consequence, reduced uncertainty in the estimate of number of undiscovered deposits. Exploration enterprises benefit from reduced areas requiring detailed and expensive exploration, and land-use planners benefit from reduced areas of concern. ?? 2008 International Association for Mathematical Geology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11053-008-9068-7","issn":"15207439","usgsCitation":"Singer, D., and Menzie, W., 2008, Map scale effects on estimating the number of undiscovered mineral deposits: Natural Resources Research, v. 17, no. 2, p. 79-86, https://doi.org/10.1007/s11053-008-9068-7.","startPage":"79","endPage":"86","numberOfPages":"8","costCenters":[],"links":[{"id":242727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214965,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-008-9068-7"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-05-07","publicationStatus":"PW","scienceBaseUri":"505a4d9be4b0c8380cd6a476","contributors":{"authors":[{"text":"Singer, D.A.","contributorId":69128,"corporation":false,"usgs":true,"family":"Singer","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":434257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Menzie, W. D.","contributorId":52916,"corporation":false,"usgs":true,"family":"Menzie","given":"W. D.","affiliations":[],"preferred":false,"id":434256,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032040,"text":"70032040 - 2008 - Effects of acclimation on the toxicity of stream water contaminated with zinc and cadmium to juvenile cutthroat trout","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70032040","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of acclimation on the toxicity of stream water contaminated with zinc and cadmium to juvenile cutthroat trout","docAbstract":"We investigated the influence of acclimation on results of in situ bioassays with cutthroat trout in metal-contaminated streams. Cutthroat trout (Oncorhynchus clarki) were held for 21 days (1) in live containers at a reference or \"clean\" site having dissolved metals near detection limits (0.01 ??g/L cadmium [Cd] and 2.8 ??g/L zinc [Zn]; hardness 32 mg/L as CaCO3) and (2) at a site in a mining-impacted watershed having moderately increased metals (0.07 ??g/L Cd and 38 to 40 ??g/L Zn; hardness 50 mg/L as CaCO3). The 96-hour survival of each treatment group was then tested in situ at five sites from September 5 to 9, 2002, and each group exhibited a range of metal concentrations (0.44 to 39 ??g/L arsenic [As], 0.01 to 2.2 ??g/L Cd, and 0.49 to 856 ??g/L Zn). Survival was 100% at three sites for both treatments. However, a higher percentage of metal-acclimated fish survived at the site with the second highest concentrations of Cd and Zn (0.90 and 238 ??g/L, respectively) compared with fish acclimated at the reference site (100% vs. 55%, respectively). Survival was 65% for acclimated fish and 0% for metal-nai??ve fish at the site with the largest metal concentrations (2.2 ??g/L Cd and 856 ??g/L Zn). Water collected from the site with the largest concentrations of dissolved metals (on October 30, 2002) was used in a laboratory serial dilution to determine 96-hour LC50 values. The 96-hour LC50 estimates of nai??ve fish during the in situ and laboratory experiments were similar (0.60 ??g Cd/L and 226 ??g Zn/L for in situ and 0.64 ??g Cd/L and 201 ??g Zn/L for laboratory serial dilutions). However, mortality of nai??ve cutthroat trout tested under laboratory conditions was more rapid in dilutions of 100%, 75%, and 38% site water than in situ experiments. ?? 2007 Springer Science+Business Media, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00244-007-9063-8","issn":"00904341","usgsCitation":"Harper, D., Farag, A., and Brumbaugh, W.G., 2008, Effects of acclimation on the toxicity of stream water contaminated with zinc and cadmium to juvenile cutthroat trout: Archives of Environmental Contamination and Toxicology, v. 54, no. 4, p. 697-704, https://doi.org/10.1007/s00244-007-9063-8.","startPage":"697","endPage":"704","numberOfPages":"8","costCenters":[],"links":[{"id":215056,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-007-9063-8"},{"id":242825,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-10-31","publicationStatus":"PW","scienceBaseUri":"505a0676e4b0c8380cd51261","contributors":{"authors":[{"text":"Harper, D.D.","contributorId":82526,"corporation":false,"usgs":true,"family":"Harper","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":434271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farag, A.M.","contributorId":106273,"corporation":false,"usgs":true,"family":"Farag","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":434272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, W. G.","contributorId":106441,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"W.","email":"","middleInitial":"G.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":434273,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032277,"text":"70032277 - 2008 - GSTARS computer models and their applications, part I: theoretical development","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70032277","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2072,"text":"International Journal of Sediment Research","active":true,"publicationSubtype":{"id":10}},"title":"GSTARS computer models and their applications, part I: theoretical development","docAbstract":"GSTARS is a series of computer models developed by the U.S. Bureau of Reclamation for alluvial river and reservoir sedimentation studies while the authors were employed by that agency. The first version of GSTARS was released in 1986 using Fortran IV for mainframe computers. GSTARS 2.0 was released in 1998 for personal computer application with most of the code in the original GSTARS revised, improved, and expanded using Fortran IV/77. GSTARS 2.1 is an improved and revised GSTARS 2.0 with graphical user interface. The unique features of all GSTARS models are the conjunctive use of the stream tube concept and of the minimum stream power theory. The application of minimum stream power theory allows the determination of optimum channel geometry with variable channel width and cross-sectional shape. The use of the stream tube concept enables the simulation of river hydraulics using one-dimensional numerical solutions to obtain a semi-two- dimensional presentation of the hydraulic conditions along and across an alluvial channel. According to the stream tube concept, no water or sediment particles can cross the walls of stream tubes, which is valid for many natural rivers. At and near sharp bends, however, sediment particles may cross the boundaries of stream tubes. GSTARS3, based on FORTRAN 90/95, addresses this phenomenon and further expands the capabilities of GSTARS 2.1 for cohesive and non-cohesive sediment transport in rivers and reservoirs. This paper presents the concepts, methods, and techniques used to develop the GSTARS series of computer models, especially GSTARS3. ?? 2008 International Research and Training Centre on Erosion and Sedimentation and the World Association for Sedimentation and Erosion Research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Sediment Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S1001-6279(08)60019-0","issn":"10016","usgsCitation":"Yang, C., and Simoes, F., 2008, GSTARS computer models and their applications, part I: theoretical development: International Journal of Sediment Research, v. 23, no. 3, p. 197-211, https://doi.org/10.1016/S1001-6279(08)60019-0.","startPage":"197","endPage":"211","numberOfPages":"15","costCenters":[],"links":[{"id":214603,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S1001-6279(08)60019-0"},{"id":242343,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a14a0e4b0c8380cd54ac6","contributors":{"authors":[{"text":"Yang, C.T.","contributorId":14629,"corporation":false,"usgs":true,"family":"Yang","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":435400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simoes, F.J.M.","contributorId":100181,"corporation":false,"usgs":true,"family":"Simoes","given":"F.J.M.","email":"","affiliations":[],"preferred":false,"id":435401,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176654,"text":"70176654 - 2008 - Ecosystem conceptual model- Mercury ","interactions":[],"lastModifiedDate":"2016-09-23T15:28:47","indexId":"70176654","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecosystem conceptual model- Mercury ","docAbstract":"<div>Mercury has been identified as an important contaminant in the Delta, based on elevated concentrations of methylmercury (a toxic, organic form that readily bioaccumulates) in fish and wildlife. There are health risks associated with human exposure to methylmercury by consumption of sport fish, particularly top predators such as bass species. Original mercury sources were upstream tributaries where historical mining of mercury in the Coast Ranges and gold in the Sierra Nevada and Klamath-Trinity Mountains caused contamination of water and sediment on a regional scale. Remediation of abandoned mine sites may reduce local sources in these watersheds, but much of the mercury contamination occurs in sediments stored in the riverbeds, floodplains, and the Bay- Delta, where scouring of Gold-Rush-era sediment represents an ongoing source.</div><div><br></div><div>Conversion of inorganic mercury to toxic methylmercury occurs in anaerobic environments including some wetlands. Wetland restoration managers must be cognizant of potential effects on mercury cycling so that the problem is not exacerbated. Recent research suggests that wettingdrying cycles can contribute to mercury methylation. For example, high marshes (inundated only during the highest tides for several days per month) tend to have higher methylmercury concentrations in water, sediment, and biota compared with low marshes, which do not dry out completely during the tidal cycle. Seasonally inundated flood plains are another environment experiencing wetting and drying where methylmercury concentrations are typically elevated. Stream restoration efforts using gravel injection or other reworking of coarse sediment in most watersheds of the Central Valley involve tailings from historical gold mining that are likely to contain elevated mercury in associated fines. Habitat restoration projects, particularly those involving wetlands, may cause increases in methylmercury exposure in the watershed. This possibility should be evaluated.</div><div><br></div><div>The DRERIP mercury conceptual model and its four submodels (1. Methylation, 2. Bioaccumulation, 3. Human Health Effects, and 4. Wildlife Heath Effects) can be used to understand the general relationships among drivers and outcomes associated with mercury cycling in the Delta. Several linkages between important drivers and outcomes have been identified as important but highly uncertain (i.e. poorly understood). For example, there may be significant wildlife health effect of mercury on mammals and reptiles in the Delta, but there is currently very little or no information about it. The characteristics of such linkages are important when prioritizing and funding restoration projects and associated monitoring in the Delta and its tributaries.</div>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Sacramento-San Joaquin Delta Regional Ecosystem Restoration Implementation Plan ","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Sacramento-San Joaquin Delta Regional Ecosystem Restoration Program","usgsCitation":"Alpers, C.N., Eagles-Smith, C.A., Foe, C., Klasing, S., Marvin-DiPasquale, M.C., Slotton, D., and Windham-Myers, L., 2008, Ecosystem conceptual model- Mercury , iv, 58 p.","productDescription":"iv, 58 p.","numberOfPages":"62","ipdsId":"IP-003378","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328917,"type":{"id":11,"text":"Document"},"url":"https://www.science.calwater.ca.gov/pdf/drerip/drerip_mercury_conceptual_model_final_012408.pdf"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8673e4b0824b2d1497cf","contributors":{"authors":[{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":649535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":649536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foe, Chris","contributorId":174884,"corporation":false,"usgs":false,"family":"Foe","given":"Chris","email":"","affiliations":[],"preferred":false,"id":649537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klasing, Susan","contributorId":174885,"corporation":false,"usgs":false,"family":"Klasing","given":"Susan","email":"","affiliations":[],"preferred":false,"id":649538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":649539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slotton, Darell","contributorId":32777,"corporation":false,"usgs":true,"family":"Slotton","given":"Darell","email":"","affiliations":[],"preferred":false,"id":649540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Windham-Myers, Lisamarie lwindham-myers@usgs.gov","contributorId":167489,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[],"preferred":true,"id":649541,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032714,"text":"70032714 - 2008 - Land use and the structure of western US stream invertebrate assemblages: Predictive models and ecological traits","interactions":[],"lastModifiedDate":"2017-10-25T14:17:51","indexId":"70032714","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Land use and the structure of western US stream invertebrate assemblages: Predictive models and ecological traits","docAbstract":"Inferences drawn from regional bioassessments could be strengthened by integrating data from different monitoring programs. We combined data from the US Geological Survey National Water-Quality Assessment (NAWQA) program and the US Environmental Protection Agency Wadeable Streams Assessment (WSA) to expand the scope of an existing River InVertebrate Prediction and Classification System (RIVPACS)-type predictive model and to assess the biological condition of streams across the western US in a variety of landuse classes. We used model-derived estimates of taxon-specific probabilities of capture and observed taxon occurrences to identify taxa that were absent from sites where they were predicted to occur (decreasers) and taxa that were present at sites where they were not predicted to occur (increasers). Integration of 87 NAWQA reference sites increased the scope of the existing WSA predictive model to include larger streams and later season sampling. Biological condition at 336 NAWQA test sites was significantly (p < 0.001) associated with basin land use and tended to be lower in basins with intensive landuse modification (e.g., mixed, urban, and agricultural basins) than in basins with relatively undisturbed land use (e.g., forested basins). Of the 437 taxa observed among reference and test sites, 180 (41%) were increasers or decreasers. In general, decreasers had a different set of ecological traits (functional traits or tolerance values) than did increasers. We could predict whether a taxon was a decreaser or an increaser based on just a few traits, e.g., desiccation resistance, timing of larval development, habit, and thermal preference, but we were unable to predict the type of basin land use from trait states present in invertebrate assemblages. Refined characterization of traits might be required before bioassessment data can be used routinely to aid in the diagnoses of the causes of biological impairment. ?? 2008 by The North American Benthological Society.","language":"English","publisher":"University of Chicago Press","doi":"10.1899/07-176.1","issn":"08873","usgsCitation":"Carlisle, D., and Hawkins, C., 2008, Land use and the structure of western US stream invertebrate assemblages: Predictive models and ecological traits: Journal of the North American Benthological Society, v. 27, no. 4, p. 986-999, https://doi.org/10.1899/07-176.1.","productDescription":"14 p.","startPage":"986","endPage":"999","ipdsId":"IP-004069","costCenters":[],"links":[{"id":241324,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon,  Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  \"}}]}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4383e4b0c8380cd663c6","contributors":{"authors":[{"text":"Carlisle, D.M.","contributorId":81059,"corporation":false,"usgs":true,"family":"Carlisle","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":437601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins, C.P.","contributorId":64454,"corporation":false,"usgs":true,"family":"Hawkins","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":437600,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032716,"text":"70032716 - 2008 - Degradation of Victoria crater, Mars","interactions":[],"lastModifiedDate":"2018-12-05T16:10:45","indexId":"70032716","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Degradation of Victoria crater, Mars","docAbstract":"<p><span>The ∼750 m diameter and ∼75 m deep Victoria crater in Meridiani Planum, Mars, is a degraded primary impact structure retaining a ∼5 m raised rim consisting of 1–2 m of uplifted rocks overlain by ∼3 m of ejecta at the rim crest. The rim is 120–220 m wide and is surrounded by a dark annulus reaching an average of 590 m beyond the raised rim. Comparison between observed morphology and that expected for pristine craters 500–750 m across indicates that the original, pristine crater was close to 600 m in diameter. Hence, the crater has been erosionally widened by ∼150 m and infilled by ∼50 m of sediments. Eolian processes are responsible for most crater modification, but lesser mass wasting or gully activity contributions cannot be ruled out. Erosion by prevailing winds is most significant along the exposed rim and upper walls and accounts for ∼50 m widening across a WNW–ESE diameter. The volume of material eroded from the crater walls and rim is ∼20% less than the volume of sediments partially filling the crater, indicating eolian infilling from sources outside the crater over time. The annulus formed when ∼1 m deflation of the ejecta created a lag of more resistant hematite spherules that trapped &lt;10–20 cm of darker, regional basaltic sands. Greater relief along the rim enabled meters of erosion. Comparison between Victoria and regional craters leads to definition of a crater degradation sequence dominated by eolian erosion and infilling over time.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2008JE003155","issn":"01480","usgsCitation":"Grant, J.A., Wilson, S., Cohen, B.A., Golombek, M.P., Geissler, P.E., Sullivan, R.J., Kirk, R.L., and Parker, T.J., 2008, Degradation of Victoria crater, Mars: Journal of Geophysical Research E: Planets, v. 113, no. E11, 16 p., https://doi.org/10.1029/2008JE003155.","productDescription":"16 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476675,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008je003155","text":"Publisher Index Page"},{"id":241358,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars; Victoria crater","volume":"113","issue":"E11","noUsgsAuthors":false,"publicationDate":"2008-11-18","publicationStatus":"PW","scienceBaseUri":"5059fe55e4b0c8380cd4ec9a","contributors":{"authors":[{"text":"Grant, John A.","contributorId":35230,"corporation":false,"usgs":true,"family":"Grant","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":437606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Sharon A.","contributorId":211099,"corporation":false,"usgs":false,"family":"Wilson","given":"Sharon A.","affiliations":[{"id":24731,"text":"Center for Earth and Planetary Studies, National Air and Space Museum, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":437605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, Barbara A.","contributorId":211100,"corporation":false,"usgs":false,"family":"Cohen","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":437608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Golombek, Matthew P.","contributorId":175450,"corporation":false,"usgs":false,"family":"Golombek","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":437609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":437610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Robert J.","contributorId":105960,"corporation":false,"usgs":true,"family":"Sullivan","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":437604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":437611,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parker, Timothy J.","contributorId":33168,"corporation":false,"usgs":true,"family":"Parker","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":437607,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047165,"text":"70047165 - 2008 - Shallow landslide hazard map of Seattle, Washington","interactions":[],"lastModifiedDate":"2015-04-02T14:00:12","indexId":"70047165","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3853,"text":"Reviews in Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Shallow landslide hazard map of Seattle, Washington","docAbstract":"<p><span>Landslides, particularly debris flows, have long been a significant cause of damage and destruction to people and property in the Puget Sound region. Following the years of 1996 and 1997, the Federal Emergency Management Agency designated Seattle as a &ldquo;Project Impact&rdquo; city with the goal of encouraging the city to become more disaster resistant to landslides and other natural hazards. A major recommendation of the Project Impact council was that the city and the U.S. Geological Survey collaborate to produce a landslide hazard map. An exceptional data set archived by the city containing more than 100 yr of landslide data from severe storm events allowed comparison of actual landslide locations with those predicted by slope-stability modeling. We used an infinite-slope analysis, which models slope segments as rigid friction blocks, to estimate the susceptibility of slopes to debris flows, which are water-laden slurries that can form from shallow failures of soil and weathered bedrock and can travel at high velocities down steep slopes. Data used for the analysis consisted of a digital slope map derived from recent light detection and ranging (LiDAR) imagery of Seattle, recent digital geologic mapping of the city, and shear-strength test data for the geologic units found in the surrounding area. The combination of these data layers within a geographic information system (GIS) platform allowed us to create a shallow landslide hazard map for Seattle.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2008.4020(04)","usgsCitation":"Harp, E.L., Michael, J.A., and Laprade, W.T., 2008, Shallow landslide hazard map of Seattle, Washington: Reviews in Engineering Geology, v. 20, p. 67-82, https://doi.org/10.1130/2008.4020(04).","productDescription":"16 p.","startPage":"67","endPage":"82","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":275284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.48657226562499,\n              47.39137691300555\n            ],\n            [\n              -122.48657226562499,\n              47.803470154970654\n            ],\n            [\n              -122.15423583984375,\n              47.803470154970654\n            ],\n            [\n              -122.15423583984375,\n              47.39137691300555\n            ],\n            [\n              -122.48657226562499,\n              47.39137691300555\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51efa5f7e4b0b09fbe58f1e6","contributors":{"authors":[{"text":"Harp, Edwin L. harp@usgs.gov","contributorId":1290,"corporation":false,"usgs":true,"family":"Harp","given":"Edwin","email":"harp@usgs.gov","middleInitial":"L.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":481198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, John A. jmichael@usgs.gov","contributorId":1877,"corporation":false,"usgs":true,"family":"Michael","given":"John","email":"jmichael@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":481199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laprade, William T.","contributorId":39023,"corporation":false,"usgs":false,"family":"Laprade","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":481200,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032844,"text":"70032844 - 2008 - Water-quality monitoring and process understanding in support of environmental policy and management","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032844","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Water-quality monitoring and process understanding in support of environmental policy and management","docAbstract":"The quantity and quality of freshwater at any point on the landscape reflect the combined effects of many processes operating along hydrological pathways within a drainage basin/watershed/catchment. Primary drivers for the availability of water are landscape changes and patterns, and the processes affecting the timing, magnitude, and intensity of precipitation, including global climate change. The degradation of air, land, and water in one part of a drainage basin can have negative effects on users downstream; the time and space scales of the effects are determined by the residence time along the various hydrological pathways. Hydrology affects transport, deposition, and recycling of inorganic materials and sediment. These components affect biota and associated ecosystem processes, which rely on sustainable flows throughout a drainage basin. Human activities on all spatial scales affect both water quantity and quality, and some human activities can have a disproportionate effect on an entire drainage basin. Aquatic systems have been continuously modified by agriculture, through land-use change, irrigation and navigation, disposal of urban, mining, and industrial wastes, and engineering modifications to the environment. Interdisciplinary integrated basin studies within the last several decades have provided a more comprehensive understanding of the linkages among air, land, and water resources. This understanding, coupled with environmental monitoring, has evolved a more multidisciplinary integrated approach to resource management, particularly within drainage basins.","largerWorkTitle":"IAHS-AISH Publication","conferenceTitle":"River Basins - From Hydrological Science to Water Management","conferenceLocation":"Paris","language":"English","issn":"01447","isbn":"9781901502695","usgsCitation":"Peters, N., 2008, Water-quality monitoring and process understanding in support of environmental policy and management, <i>in</i> IAHS-AISH Publication, no. 323, Paris, p. 93-109.","startPage":"93","endPage":"109","numberOfPages":"17","costCenters":[],"links":[{"id":241672,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"323","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bce33e4b08c986b32e29e","contributors":{"authors":[{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":438203,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032846,"text":"70032846 - 2008 - Evaluation of the physical process controlling beach changes adjacent to nearshore dredge pits","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032846","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the physical process controlling beach changes adjacent to nearshore dredge pits","docAbstract":"Numerical modeling of a beach nourishment project is conducted to enable a detailed evaluation of the processes associated with the effects of nearshore dredge pits on nourishment evolution and formation of erosion hot spots. A process-based numerical model, Delft3D, is used for this purpose. The analysis is based on the modification of existing bathymetry to simulate \"what if\" scenarios with/without the bathymetric features of interest. Borrow pits dredged about 30??years ago to provide sand for the nourishment project have a significant influence on project performance and formation of erosional hot spots. It was found that the main processes controlling beach response to these offshore bathymetric features were feedbacks between wave forces (roller force or alongshore component of the radiation stress), pressure gradients due to differentials in wave set-up/set-down and bed shear stress. Modeling results also indicated that backfilling of selected borrow sites showed a net positive effect within the beach fill limits and caused a reduction in the magnitude of hot spot erosion. ?? 2008 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coastal Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.coastaleng.2008.06.008","issn":"03783","usgsCitation":"Benedet, L., and List, J.H., 2008, Evaluation of the physical process controlling beach changes adjacent to nearshore dredge pits: Coastal Engineering, v. 55, no. 12, p. 1224-1236, https://doi.org/10.1016/j.coastaleng.2008.06.008.","startPage":"1224","endPage":"1236","numberOfPages":"13","costCenters":[],"links":[{"id":214021,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coastaleng.2008.06.008"},{"id":241707,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0ceee4b0c8380cd52d5a","contributors":{"authors":[{"text":"Benedet, L.","contributorId":100624,"corporation":false,"usgs":true,"family":"Benedet","given":"L.","affiliations":[],"preferred":false,"id":438209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"List, J. H.","contributorId":70406,"corporation":false,"usgs":true,"family":"List","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":438208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032868,"text":"70032868 - 2008 - Micropaleontologic record of late Pliocene and Quaternary paleoenvironments in the northern Albemarle Embayment, North Carolina, U.S.A.","interactions":[],"lastModifiedDate":"2019-12-30T09:01:52","indexId":"70032868","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Micropaleontologic record of late Pliocene and Quaternary paleoenvironments in the northern Albemarle Embayment, North Carolina, U.S.A.","docAbstract":"<p>Micropaleontological data provide a strong actualistic basis for detailed interpretations of Quaternary paleoenvironmental change. The 90&nbsp;m-thick Quaternary record of the Albemarle Embayment in the mid-Atlantic coastal plain of the USA provides an excellent opportunity to use such an approach in a region where the details of Quaternary environmental change are poorly known.</p><p>The foraminiferal record in nine cores from the northern Outer Banks, east of Albemarle Sound, North Carolina, indicates the deposition of subhorizontal, mostly open-marine early to late Pleistocene units unconformably upon a basement of late Pliocene reduced-oxygen, fine-grained, shelf-basin deposits. Pollen data record several warm–cool fluctuations within the early to mid-Pleistocene deposits. Diatom data indicate that some fresh and brackish-water units occur within the generally open-marine Pleistocene succession.</p><p>A channel cut by the paleo-Roanoke River during the last glacial sea-level lowstand occurs in the northern part of the study area. Pollen indicates that the basal fluvial valley fill accumulated in cooler than modern climate conditions in the latest Pleistocene. Overlying silts and muds accumulated under cool climatic, estuarine conditions according to diatom and pollen data. Radiocarbon ages from the estuarine deposits indicate that the bulk of these sediments accumulated during the latest Pleistocene.</p><p>The estuarine channel-fill deposits are overlain by Holocene open-marine sands deposited as the rising sea transgressed into the estuary approximately 8.5 to 9.0&nbsp;kyr BP. Within the barrier island drill cores of this study, fully marine sedimentation occurred throughout the Holocene. However, immediately west of the present barrier island, mid- to late Holocene estuarine deposits underlie the modern Albemarle Sound. The islands that currently form a continuous barrier across the mouth of Albemarle Sound have a complex history of Holocene construction and destruction and large portions of them may be less than 3&nbsp;kyr old. The barrier island sands overlie open-marine sands of Colington Shoal in the north and to the south overlie fluvial and marine sand filling paleo-Roanoke tributary valleys.</p><p>The Pleistocene sediments underlying the northern Outer Banks study area are mainly of open inner to mid-shelf origin. If, as is likely, sea level continues to rise, a return to such environmental conditions is likely in the near future.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2008.03.012","issn":"00310182","usgsCitation":"Culver, S., Farrell, K., Mallinson, D.J., Horton, B.P., Willard, D., Thieler, E., Riggs, S., Snyder, S., Wehmiller, J., Bernhardt, C., and Hillier, C., 2008, Micropaleontologic record of late Pliocene and Quaternary paleoenvironments in the northern Albemarle Embayment, North Carolina, U.S.A.: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 264, no. 1-2, p. 54-77, https://doi.org/10.1016/j.palaeo.2008.03.012.","productDescription":"24 p.","startPage":"54","endPage":"77","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":241502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Albemarle Embayment","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.99105834960938,\n              35.81224507919506\n            ],\n            [\n              -75.5804443359375,\n              35.81224507919506\n            ],\n            [\n              -75.5804443359375,\n              36.28634929429456\n            ],\n            [\n              -75.99105834960938,\n              36.28634929429456\n            ],\n            [\n              -75.99105834960938,\n              35.81224507919506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"264","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a568ee4b0c8380cd6d68a","contributors":{"authors":[{"text":"Culver, S.J.","contributorId":53970,"corporation":false,"usgs":true,"family":"Culver","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":438297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, K.M.","contributorId":106573,"corporation":false,"usgs":true,"family":"Farrell","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":438304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, D. J.","contributorId":71745,"corporation":false,"usgs":true,"family":"Mallinson","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":438299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, B. P.","contributorId":96816,"corporation":false,"usgs":false,"family":"Horton","given":"B.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":438303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra  A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":85982,"corporation":false,"usgs":true,"family":"Willard","given":"Debra  A.","affiliations":[],"preferred":false,"id":438300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thieler, E.R. 0000-0003-4311-9717","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":93082,"corporation":false,"usgs":true,"family":"Thieler","given":"E.R.","affiliations":[],"preferred":false,"id":438302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riggs, S.R.","contributorId":29807,"corporation":false,"usgs":true,"family":"Riggs","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":438295,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snyder, S.W.","contributorId":92875,"corporation":false,"usgs":true,"family":"Snyder","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":438301,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wehmiller, J.F.","contributorId":37891,"corporation":false,"usgs":false,"family":"Wehmiller","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":438296,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bernhardt, C.E.","contributorId":65554,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":438298,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hillier, C.","contributorId":11012,"corporation":false,"usgs":true,"family":"Hillier","given":"C.","email":"","affiliations":[],"preferred":false,"id":438294,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70032879,"text":"70032879 - 2008 - Regional population viability of grassland songbirds: Effects of agricultural management","interactions":[],"lastModifiedDate":"2012-03-12T17:21:24","indexId":"70032879","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Regional population viability of grassland songbirds: Effects of agricultural management","docAbstract":"Although population declines of grassland songbirds in North America and Europe are well-documented, the effect of local processes on regional population persistence is unclear. To assess population viability of grassland songbirds at a regional scale (???150,000 ha), we quantified Savannah Sparrow Passerculus sandwichensis and Bobolink Dolichonyx oryzivorus annual productivity, adult apparent survival, habitat selection, and density in the four most (regionally) common grassland treatments. We applied these data to a female-based, stochastic, pre-breeding population model to examine whether current grassland management practices can sustain viable populations of breeding songbirds. Additionally, we evaluated six conservation strategies to determine which would most effectively increase population trends. Given baseline conditions, over 10 years, simulations showed a slightly declining or stable Savannah Sparrow population (mean bootstrap ?? = 0.99; 95% CI = 1.00-0.989) and severely declining Bobolink population (mean bootstrap ?? = 0.75; 95% CI = 0.753-0.747). Savannah Sparrow populations were sensitive to increases in all demographic parameters, particularly adult survival. However for Bobolinks, increasing adult apparent survival, juvenile apparent survival, or preference by changing habitat selection cues for late-hayed fields (highest quality) only slightly decreased the rate of decline. For both species, increasing the amount of high-quality habitat (late- and middle-hayed) marginally slowed population declines; increasing the amount of low-quality habitat (early-hayed and grazed) marginally increased population declines. Both species were most sensitive to low productivity and survival on early-hayed fields, despite the fact that this habitat comprised only 18% of the landscape. Management plans for all agricultural regions should increase quality on both low- and high-quality fields by balancing habitat needs, nesting phenology, and species' response to management. ?? 2008 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.biocon.2008.09.011","issn":"00063","usgsCitation":"Perlut, N., Strong, A., Donovan, T., and Buckley, N.J., 2008, Regional population viability of grassland songbirds: Effects of agricultural management: Biological Conservation, v. 141, no. 12, p. 3139-3151, https://doi.org/10.1016/j.biocon.2008.09.011.","startPage":"3139","endPage":"3151","numberOfPages":"13","costCenters":[],"links":[{"id":214023,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2008.09.011"},{"id":241709,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a546e4b0e8fec6cdbdca","contributors":{"authors":[{"text":"Perlut, N.G.","contributorId":12671,"corporation":false,"usgs":true,"family":"Perlut","given":"N.G.","affiliations":[],"preferred":false,"id":438341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strong, A.M.","contributorId":39568,"corporation":false,"usgs":true,"family":"Strong","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":438343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, T.M.","contributorId":91602,"corporation":false,"usgs":true,"family":"Donovan","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":438344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckley, N. J.","contributorId":38757,"corporation":false,"usgs":false,"family":"Buckley","given":"N.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":438342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032884,"text":"70032884 - 2008 - Sympatric Masticophis flagellum and Coluber constrictor select vertebrate prey at different levels of taxonomy","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70032884","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Sympatric Masticophis flagellum and Coluber constrictor select vertebrate prey at different levels of taxonomy","docAbstract":"Masticophis flagellum (Coachwhip) and Coluber constrictor (Eastern Racer) are widespread North American snakes with similar foraging modes and habits. Little is known about the selection of prey by either species, and despite their apparently similar foraging habits, comparative studies of the foraging ecology of sympatric M. flagellum and C. constrictor are lacking. We examined the foraging ecology and prey selection of these actively foraging snakes in xeric, open-canopied Florida scrub habitat by defining prey availability separately for each snake to elucidate mechanisms underlying geographic, temporal, and interspecific variation in predator diets. Nineteen percent of M. flagellum and 28% of C. constrictor contained stomach contents, and most snakes contained only one prey item. Mean relative prey mass for both species was less than 10%. Larger C. constrictor consumed larger prey than small individuals, but this relationship disappeared when prey size was scaled to snake size. Masticophis flagellum was selective at the prey category level, and positively selected lizards and mammals; however, within these categories it consumed prey species in proportion to their availability. In contrast, C. constrictor preyed upon prey categories opportunistically, but was selective with regard to species. Specifically, C. constrictor positively selected Hyla femoralis (Pine Woods Treefrog) and negatively selected Bufo querclcus (Oak Toad), B. terrestris (Southern Toad), and Gastrophryne carolinensis (Eastern Narrowmouth Toad). Thus, despite their similar foraging habits, M. flagellum and C. constrictor select different prey and are selective of prey at different levels of taxonomy. ?? 2008 by the American Society of Ichthyologists and Herpetologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1643/CE-07-221","issn":"00458","usgsCitation":"Halstead, B., Mushinsky, H., and McCoy, E., 2008, Sympatric Masticophis flagellum and Coluber constrictor select vertebrate prey at different levels of taxonomy: Copeia, no. 4, p. 897-908, https://doi.org/10.1643/CE-07-221.","startPage":"897","endPage":"908","numberOfPages":"12","costCenters":[],"links":[{"id":241781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214091,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CE-07-221"}],"issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba337e4b08c986b31fc05","contributors":{"authors":[{"text":"Halstead, B.J.","contributorId":42045,"corporation":false,"usgs":true,"family":"Halstead","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":438370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushinsky, H.R.","contributorId":54416,"corporation":false,"usgs":true,"family":"Mushinsky","given":"H.R.","email":"","affiliations":[],"preferred":false,"id":438371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCoy, E.D.","contributorId":15022,"corporation":false,"usgs":true,"family":"McCoy","given":"E.D.","email":"","affiliations":[],"preferred":false,"id":438369,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032904,"text":"70032904 - 2008 - The role of deposits in tsunami risk assessment","interactions":[],"lastModifiedDate":"2012-03-12T17:21:36","indexId":"70032904","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The role of deposits in tsunami risk assessment","docAbstract":"An incomplete catalogue of tsunamis in the written record hinders tsunami risk assessment. Tsunami deposits, hard evidence of tsunami, can be used to extend the written record. The two primary factors in tsunami risk, tsunami frequency and magnitude, can be addressed through field and modeling studies of tsunami deposits. Recent research has increased the utility of tsunami deposits in tsunami risk assessment by improving the ability to identify tsunami deposits and developing models to determine tsunami magnitude from deposit characteristics. Copyright ASCE 2008.","largerWorkTitle":"Solutions to Coastal Disasters Congress 2008: Tsunamis - Proceedings of the Solutions to Coastal Disasters Congress 2008: Tsunamis","conferenceTitle":"Solutions to Coastal Disasters Congress 2008: Tsunamis","conferenceDate":"13 April 2008 through 16 April 2008","conferenceLocation":"Oahu, HI","language":"English","doi":"10.1061/40978(313)24","isbn":"9780784409787","usgsCitation":"Jaffe, B., 2008, The role of deposits in tsunami risk assessment, <i>in</i> Solutions to Coastal Disasters Congress 2008: Tsunamis - Proceedings of the Solutions to Coastal Disasters Congress 2008: Tsunamis, v. 313, Oahu, HI, 13 April 2008 through 16 April 2008, p. 256-267, https://doi.org/10.1061/40978(313)24.","startPage":"256","endPage":"267","numberOfPages":"12","costCenters":[],"links":[{"id":213446,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/40978(313)24"},{"id":241072,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"313","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"505baf65e4b08c986b324766","contributors":{"authors":[{"text":"Jaffe, B.","contributorId":78517,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","affiliations":[],"preferred":false,"id":438450,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70033098,"text":"70033098 - 2008 - Numerical model for the uptake of groundwater contaminants by phreatophytes","interactions":[],"lastModifiedDate":"2020-03-10T14:55:05","indexId":"70033098","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Numerical model for the uptake of groundwater contaminants by phreatophytes","docAbstract":"Conventional solute transport models do not adequately account for the effects of phreatophytic plant systems on contaminant concentrations in shallow groundwater systems. A numerical model was developed and tested to simulate threedimensional reactive solute transport in a heterogeneous porous medium. Advective-dispersive transport is coupled to biodegradation, sorption, and plantbased attenuation processes including plant uptake and sorption by plant roots. The latter effects are a function of the physical-chemical properties of the individual solutes and plant species. Models for plant uptake were tested and evaluated using the experimental data collected at a field site comprised of hybrid poplar trees. A non-linear equilibrium isotherm model best represented site conditions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"WIT Transactions on Ecology and the Environment","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th International Conference on Modelling, Monitoring and Management of Water Pollution, Water Pollution 2008","conferenceDate":"June 9-11,2008","conferenceLocation":"Alicante, Spain","language":"English","doi":"10.2495/WP080361","issn":"17433","isbn":"9781845641153","usgsCitation":"Widdowson, M., El-Sayed, A., and Landmeyer, J., 2008, Numerical model for the uptake of groundwater contaminants by phreatophytes, <i>in</i> WIT Transactions on Ecology and the Environment, v. 111, Alicante, Spain, June 9-11,2008, p. 371-379, https://doi.org/10.2495/WP080361.","productDescription":"9 p.","startPage":"371","endPage":"379","numberOfPages":"9","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476696,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2495/wp080361","text":"Publisher Index Page"},{"id":240980,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213362,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2495/WP080361"}],"volume":"111","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a68f1e4b0c8380cd73a94","contributors":{"authors":[{"text":"Widdowson, M.A.","contributorId":46262,"corporation":false,"usgs":true,"family":"Widdowson","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":439364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"El-Sayed, A.","contributorId":93709,"corporation":false,"usgs":true,"family":"El-Sayed","given":"A.","affiliations":[],"preferred":false,"id":439366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landmeyer, J. E.","contributorId":91140,"corporation":false,"usgs":true,"family":"Landmeyer","given":"J. E.","affiliations":[],"preferred":false,"id":439365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033100,"text":"70033100 - 2008 - Eulerian-Lagrangian numerical scheme for simulating advection, dispersion, and transient storage in streams and a comparison of numerical methods","interactions":[],"lastModifiedDate":"2018-10-22T09:36:03","indexId":"70033100","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2255,"text":"Journal of Environmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Eulerian-Lagrangian numerical scheme for simulating advection, dispersion, and transient storage in streams and a comparison of numerical methods","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>Past applications of one-dimensional advection, dispersion, and transient storage zone models have almost exclusively relied on a central differencing, Eulerian numerical approximation to the nonconservative form of the fundamental equation. However, there are scenarios where this approach generates unacceptable error. A new numerical scheme for this type of modeling is presented here that is based on tracking Lagrangian control volumes across a fixed (Eulerian) grid. Numerical tests are used to provide a direct comparison of the new scheme versus nonconservative Eulerian numerical methods, in terms of both accuracy and mass conservation. Key characteristics of systems for which the Lagrangian scheme performs better than the Eulerian scheme include: nonuniform flow fields, steep gradient plume fronts, and pulse and steady point source loadings in advection-dominated systems. A new analytical derivation is presented that provides insight into the loss of mass conservation in the nonconservative Eulerian scheme. This derivation shows that loss of mass conservation in the vicinity of spatial flow changes is directly proportional to the lateral inflow rate and the change in stream concentration due to the inflow. While the nonconservative Eulerian scheme has clearly worked well for past published applications, it is important for users to be aware of the scheme’s limitations.</p></div><div class=\"NLM_sec NLM_sec_level_1\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)0733-9372(2008)134:12(996)","issn":"07339","usgsCitation":"Cox, T., and Runkel, R., 2008, Eulerian-Lagrangian numerical scheme for simulating advection, dispersion, and transient storage in streams and a comparison of numerical methods: Journal of Environmental Engineering, v. 134, no. 12, p. 996-1005, https://doi.org/10.1061/(ASCE)0733-9372(2008)134:12(996).","productDescription":"10 p.","startPage":"996","endPage":"1005","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213388,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)0733-9372(2008)134:12"}],"volume":"134","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bcbe4b0c8380cd5289d","contributors":{"authors":[{"text":"Cox, T.J.","contributorId":98121,"corporation":false,"usgs":true,"family":"Cox","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":439371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, R.L.","contributorId":97529,"corporation":false,"usgs":true,"family":"Runkel","given":"R.L.","affiliations":[],"preferred":false,"id":439370,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033118,"text":"70033118 - 2008 - Paleocurrent and fabric analyses of the imbricated fluvial gravel deposits in Huangshui Valley, the northeastern Tibetan Plateau, China","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033118","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Paleocurrent and fabric analyses of the imbricated fluvial gravel deposits in Huangshui Valley, the northeastern Tibetan Plateau, China","docAbstract":"Gravel deposits on fluvial terraces contain a wealth of information about the paleofluvial system. In this study, flow direction and provenance were determined by systematic counts of more than 2000 clasts of imbricated gravel deposits in the Xining Region, northeastern Tibetan Plateau, China. These gravel deposits range in age from the modern Huangshui riverbed to Miocene-aged deposits overlain by eolian sediments. Our major objectives were not only to collect first-hand field data on the fluvial gravel sediments of the Xining Region, but also to the reconstruct the evolution of the fluvial system. These data may offer valuable information about uplift of the northeastern Tibetan Plateau during the late Cenozoic era. Reconstructed flow directions of the higher and lower gravel deposits imply that the river underwent a flow reversal of approximately 130-180??. In addition, the lithological compositions in the higher gravel deposits differ significantly from the lower terraces, suggesting that the source areas changed at the same time. Eolian stratigraphy overlying the gravel deposits and paleomagnetic age determination indicate that this change occurred sometime between 1.55??Ma and 1.2??Ma. We suggest that tectonic activity could explain the dramatic changes in flow direction and lithological composition during this time period. Therefore, this study provides a new scenario of fluvial response to tectonic uplift: a reversal of flow direction. In addition, field observation and statistical analyses reveal a strong relationship between rock type, size and roundness of clasts. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.geomorph.2007.12.005","issn":"0169555X","usgsCitation":"Miao, X., Lu, H., Li, Z., and Cao, G., 2008, Paleocurrent and fabric analyses of the imbricated fluvial gravel deposits in Huangshui Valley, the northeastern Tibetan Plateau, China: Geomorphology, v. 99, no. 1-4, p. 433-442, https://doi.org/10.1016/j.geomorph.2007.12.005.","startPage":"433","endPage":"442","numberOfPages":"10","costCenters":[],"links":[{"id":213124,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2007.12.005"},{"id":240717,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a73d0e4b0c8380cd7726b","contributors":{"authors":[{"text":"Miao, X.","contributorId":60753,"corporation":false,"usgs":true,"family":"Miao","given":"X.","email":"","affiliations":[],"preferred":false,"id":439451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, H.","contributorId":49936,"corporation":false,"usgs":true,"family":"Lu","given":"H.","email":"","affiliations":[],"preferred":false,"id":439450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Z.","contributorId":29160,"corporation":false,"usgs":true,"family":"Li","given":"Z.","affiliations":[],"preferred":false,"id":439449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cao, G.","contributorId":22970,"corporation":false,"usgs":true,"family":"Cao","given":"G.","email":"","affiliations":[],"preferred":false,"id":439448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033119,"text":"70033119 - 2008 - Investigation of flow and transport processes at the MADE site using ensemble Kalman filter","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033119","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of flow and transport processes at the MADE site using ensemble Kalman filter","docAbstract":"In this work the ensemble Kalman filter (EnKF) is applied to investigate the flow and transport processes at the macro-dispersion experiment (MADE) site in Columbus, MS. The EnKF is a sequential data assimilation approach that adjusts the unknown model parameter values based on the observed data with time. The classic advection-dispersion (AD) and the dual-domain mass transfer (DDMT) models are employed to analyze the tritium plume during the second MADE tracer experiment. The hydraulic conductivity (K), longitudinal dispersivity in the AD model, and mass transfer rate coefficient and mobile porosity ratio in the DDMT model, are estimated in this investigation. Because of its sequential feature, the EnKF allows for the temporal scaling of transport parameters during the tritium concentration analysis. Inverse simulation results indicate that for the AD model to reproduce the extensive spatial spreading of the tritium observed in the field, the K in the downgradient area needs to be increased significantly. The estimated K in the AD model becomes an order of magnitude higher than the in situ flowmeter measurements over a large portion of media. On the other hand, the DDMT model gives an estimation of K that is much more comparable with the flowmeter values. In addition, the simulated concentrations by the DDMT model show a better agreement with the observed values. The root mean square (RMS) between the observed and simulated tritium plumes is 0.77 for the AD model and 0.45 for the DDMT model at 328 days. Unlike the AD model, which gives inconsistent K estimates at different times, the DDMT model is able to invert the K values that consistently reproduce the observed tritium concentrations through all times. ?? 2008 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.advwatres.2008.03.006","issn":"03091708","usgsCitation":"Liu, G., Chen, Y., and Zhang, D., 2008, Investigation of flow and transport processes at the MADE site using ensemble Kalman filter: Advances in Water Resources, v. 31, no. 7, p. 975-986, https://doi.org/10.1016/j.advwatres.2008.03.006.","startPage":"975","endPage":"986","numberOfPages":"12","costCenters":[],"links":[{"id":213125,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.advwatres.2008.03.006"},{"id":240718,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3e89e4b0c8380cd63e55","contributors":{"authors":[{"text":"Liu, Gaisheng","contributorId":15158,"corporation":false,"usgs":true,"family":"Liu","given":"Gaisheng","email":"","affiliations":[],"preferred":false,"id":439453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Y.","contributorId":7019,"corporation":false,"usgs":true,"family":"Chen","given":"Y.","email":"","affiliations":[],"preferred":false,"id":439452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Dongxiao","contributorId":26409,"corporation":false,"usgs":true,"family":"Zhang","given":"Dongxiao","email":"","affiliations":[],"preferred":false,"id":439454,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033134,"text":"70033134 - 2008 - Earthquake recurrence on the south Hayward fault is most consistent with a time dependent, renewal process","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70033134","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake recurrence on the south Hayward fault is most consistent with a time dependent, renewal process","docAbstract":"Elastic rebound and stress renewal are important components of earthquake forecasting because if large earthquakes can be shown to be periodic, then rupture probability is time dependent. While renewal models are used in formal forecasts, it has not been possible to exclude the alternate view that repeated large earthquakes can happen in rapid succession without requiring time for stress regeneration. Here a consistency test between time dependent and time independent recurrence distributions is made using a Monte Carlo method to replicate the paleoseismic series on the south Hayward fault. Time dependent distributions with recurrence interval of 210 years and coefficient of variation of 0.6 reproduce the event series on the south Hayward 5 times more often than any exponential distribution: a highly significant difference as determined using a two-tailed Z-test for relative proportions. Therefore large Hayward fault earthquakes are quasi-periodic and are most consistent with a stress renewal process.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008GL035887","issn":"00948","usgsCitation":"Parsons, T., 2008, Earthquake recurrence on the south Hayward fault is most consistent with a time dependent, renewal process: Geophysical Research Letters, v. 35, no. 21, https://doi.org/10.1029/2008GL035887.","costCenters":[],"links":[{"id":213337,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008GL035887"},{"id":240952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"21","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0500e4b0c8380cd50bed","contributors":{"authors":[{"text":"Parsons, T.","contributorId":48288,"corporation":false,"usgs":true,"family":"Parsons","given":"T.","email":"","affiliations":[],"preferred":false,"id":439517,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70033140,"text":"70033140 - 2008 - Quasi-periodic bedding in the sedimentary rock record of mars","interactions":[],"lastModifiedDate":"2018-12-05T11:55:14","indexId":"70033140","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Quasi-periodic bedding in the sedimentary rock record of mars","docAbstract":"<p><span>Widespread sedimentary rocks on Mars preserve evidence of surface conditions different from the modern cold and dry environment, although it is unknown how long conditions favorable to deposition persisted. We used 1-meter stereo topographic maps to demonstrate the presence of rhythmic bedding at several outcrops in the Arabia Terra region. Repeating beds are ∼10 meters thick, and one site contains hundreds of meters of strata bundled into larger units at a ∼10:1 thickness ratio. This repetition likely points to cyclicity in environmental conditions, possibly as a result of astronomical forcing. If deposition were forced by orbital variation, the rocks may have been deposited over tens of millions of years.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science (AAAS)","doi":"10.1126/science.1161870","issn":"00368","usgsCitation":"Lewis, K.W., Aharonson, O., Grotzinger, J., Kirk, R.L., McEwen, A.S., and Suer, T., 2008, Quasi-periodic bedding in the sedimentary rock record of mars: Science, v. 322, no. 5907, p. 1532-1535, https://doi.org/10.1126/science.1161870.","productDescription":"4 p.","startPage":"1532","endPage":"1535","numberOfPages":"4","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476643,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:LEWsci08","text":"External Repository"},{"id":241015,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"322","issue":"5907","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a927ae4b0c8380cd8089a","contributors":{"authors":[{"text":"Lewis, Kevin W.","contributorId":203787,"corporation":false,"usgs":false,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":439542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aharonson, Oded","contributorId":59932,"corporation":false,"usgs":true,"family":"Aharonson","given":"Oded","affiliations":[],"preferred":false,"id":439543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grotzinger, John P.","contributorId":22247,"corporation":false,"usgs":true,"family":"Grotzinger","given":"John P.","affiliations":[],"preferred":false,"id":439540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":439541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":439538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suer, Terry-Ann","contributorId":211090,"corporation":false,"usgs":false,"family":"Suer","given":"Terry-Ann","email":"","affiliations":[],"preferred":false,"id":439539,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033172,"text":"70033172 - 2008 - Erosion properties of cohesive sediments in the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033172","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Erosion properties of cohesive sediments in the Colorado River in Grand Canyon","docAbstract":"Cohesive sediment deposits characterized by a high fraction of mud (silt plus clay) significantly affect the morphology and ecosystem of rivers. Potentially cohesive sediment samples were collected from deposits in the Colorado River in Marble and Grand Canyons. The erosion velocities of these samples were measured in a laboratory flume under varying boundary shear stresses. The non-dimensional boundary shear stress at which erosion commenced showed a systematic deviation from that of non-cohesive sediments at mud fractions greater than 0.2. An empirical relation for the boundary shear stress threshold of erosion as a function of mud fraction was proposed. The mass erosion rate was modelled using the Ariathurai-Partheniades equation. The erosion rate parameter of this equation was found to be a strong function of mud fraction. Under similar boundary shear stress and sediment supply conditions in the Colorado River, cohesive lateral eddy deposits formed of mud fractions in excess of 0.2 will erode less rapidly than non-cohesive deposits. Copyright ?? 2008 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rra.1122","issn":"15351","usgsCitation":"Akahori, R., Schmeeckle, M., Topping, D., and Melis, T., 2008, Erosion properties of cohesive sediments in the Colorado River in Grand Canyon: River Research and Applications, v. 24, no. 8, p. 1160-1174, https://doi.org/10.1002/rra.1122.","startPage":"1160","endPage":"1174","numberOfPages":"15","costCenters":[],"links":[{"id":213426,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1122"},{"id":241051,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"8","noUsgsAuthors":false,"publicationDate":"2008-04-22","publicationStatus":"PW","scienceBaseUri":"505a0a3ee4b0c8380cd52277","contributors":{"authors":[{"text":"Akahori, R.","contributorId":9073,"corporation":false,"usgs":true,"family":"Akahori","given":"R.","email":"","affiliations":[],"preferred":false,"id":439682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmeeckle, M.W.","contributorId":7461,"corporation":false,"usgs":true,"family":"Schmeeckle","given":"M.W.","affiliations":[],"preferred":false,"id":439681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Topping, D.J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":53927,"corporation":false,"usgs":true,"family":"Topping","given":"D.J.","affiliations":[],"preferred":false,"id":439683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melis, T.S.","contributorId":85621,"corporation":false,"usgs":true,"family":"Melis","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":439684,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033174,"text":"70033174 - 2008 - Using sequential self-calibration method to identify conductivity distribution: Conditioning on tracer test data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033174","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Using sequential self-calibration method to identify conductivity distribution: Conditioning on tracer test data","docAbstract":"An iterative inverse method, the sequential self-calibration method, is developed for mapping spatial distribution of a hydraulic conductivity field by conditioning on nonreactive tracer breakthrough curves. A streamline-based, semi-analytical simulator is adopted to simulate solute transport in a heterogeneous aquifer. The simulation is used as the forward modeling step. In this study, the hydraulic conductivity is assumed to be a deterministic or random variable. Within the framework of the streamline-based simulator, the efficient semi-analytical method is used to calculate sensitivity coefficients of the solute concentration with respect to the hydraulic conductivity variation. The calculated sensitivities account for spatial correlations between the solute concentration and parameters. The performance of the inverse method is assessed by two synthetic tracer tests conducted in an aquifer with a distinct spatial pattern of heterogeneity. The study results indicate that the developed iterative inverse method is able to identify and reproduce the large-scale heterogeneity pattern of the aquifer given appropriate observation wells in these synthetic cases. ?? International Association for Mathematical Geology 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mathematical Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11004-008-9160-x","issn":"18748","usgsCitation":"Hu, B., and He, C., 2008, Using sequential self-calibration method to identify conductivity distribution: Conditioning on tracer test data: Mathematical Geosciences, v. 40, no. 8, p. 845-859, https://doi.org/10.1007/s11004-008-9160-x.","startPage":"845","endPage":"859","numberOfPages":"15","costCenters":[],"links":[{"id":213428,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11004-008-9160-x"},{"id":241053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"8","noUsgsAuthors":false,"publicationDate":"2008-05-08","publicationStatus":"PW","scienceBaseUri":"505bc09de4b08c986b32a21a","contributors":{"authors":[{"text":"Hu, B.X.","contributorId":17838,"corporation":false,"usgs":true,"family":"Hu","given":"B.X.","email":"","affiliations":[],"preferred":false,"id":439687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, C.","contributorId":76951,"corporation":false,"usgs":true,"family":"He","given":"C.","email":"","affiliations":[],"preferred":false,"id":439688,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033176,"text":"70033176 - 2008 - An annual plant growth proxy in the Mojave Desert using MODIS-EVI data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033176","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"An annual plant growth proxy in the Mojave Desert using MODIS-EVI data","docAbstract":"In the arid Mojave Desert, the phenological response of vegetation is largely dependent upon the timing and amount of rainfall, and maps of annual plant cover at any one point in time can vary widely. Our study developed relative annual plant growth models as proxies for annual plant cover using metrics that captured phenological variability in Moderate-Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) satellite images. We used landscape phenologies revealed in MODIS data together with ecological knowledge of annual plant seasonality to develop a suite of metrics to describe annual growth on a yearly basis. Each of these metrics was applied to temporally-composited MODIS-EVI images to develop a relative model of annual growth. Each model was evaluated by testing how well it predicted field estimates of annual cover collected during 2003 and 2005 at the Mojave National Preserve. The best performing metric was the spring difference metric, which compared the average of three spring MODIS-EVI composites of a given year to that of 2002, a year of record drought. The spring difference metric showed correlations with annual plant cover of R2 = 0.61 for 2005 and R 2 = 0.47 for 2003. Although the correlation is moderate, we consider it supportive given the characteristics of the field data, which were collected for a different study in a localized area and are not ideal for calibration to MODIS pixels. A proxy for annual growth potential was developed from the spring difference metric of 2005 for use as an environmental data layer in desert tortoise habitat modeling. The application of the spring difference metric to other imagery years presents potential for other applications such as fuels, invasive species, and dust-emission monitoring in the Mojave Desert.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sensors","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3390/s8127792","issn":"14248","usgsCitation":"Wallace, C., and Thomas, K., 2008, An annual plant growth proxy in the Mojave Desert using MODIS-EVI data: Sensors, v. 8, no. 12, p. 7792-7808, https://doi.org/10.3390/s8127792.","startPage":"7792","endPage":"7808","numberOfPages":"17","costCenters":[],"links":[{"id":476678,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s8127792","text":"Publisher Index Page"},{"id":213463,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/s8127792"},{"id":241089,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2008-12-03","publicationStatus":"PW","scienceBaseUri":"5059e9ffe4b0c8380cd4859b","contributors":{"authors":[{"text":"Wallace, C.S.A.","contributorId":89712,"corporation":false,"usgs":true,"family":"Wallace","given":"C.S.A.","email":"","affiliations":[],"preferred":false,"id":439695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, K.A.","contributorId":100934,"corporation":false,"usgs":true,"family":"Thomas","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":439696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033177,"text":"70033177 - 2008 - Growing up green on serpentine soils: Biogeochemistry of serpentine vegetation in the Central Coast Range of California","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033177","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Growing up green on serpentine soils: Biogeochemistry of serpentine vegetation in the Central Coast Range of California","docAbstract":"Serpentine soils derived from the weathering of ultramafic rocks and their metamorphic derivatives (serpentinites) are chemically prohibitive for vegetative growth. Evaluating how serpentine vegetation is able to persist under these chemical conditions is difficult to ascertain due to the numerous factors (climate, relief, time, water availability, etc.) controlling and affecting plant growth. Here, the uptake, incorporation, and distribution of a wide variety of elements into the biomass of serpentine vegetation has been investigated relative to vegetation growing on an adjacent chert-derived soil. Soil pH, electrical conductivity, organic C, total N, soil extractable elements, total soil elemental compositions and plant digestions in conjunction with spider diagrams are utilized to determine the chemical relationships of these soil and plant systems. Plant available Mg and Ca in serpentine soils exceed values assessed in chert soils. Magnesium is nearly 3 times more abundant than Ca in the serpentine soils; however, the serpentine soils are not Ca deficient with Ca concentrations as high as 2235 mg kg-1. Calcium to Mg ratios (Ca:Mg) in both serpentine and chert vegetation are greater than one in both below and above ground tissues. Soil and plant chemistry analyses support that Ca is not a limiting factor for plant growth and that serpentine vegetation is actively moderating Mg uptake as well as tolerating elevated concentrations of bioavailable Mg. Additionally, results demonstrate that serpentine vegetation suppresses the uptake of Fe, Cr, Ni, Mn and Co into its biomass. The suppressed uptake of these metals mainly occurs in the plants' roots as evident by the comparatively lower metal concentrations present in above ground tissues (twigs, leaves and shoots). This research supports earlier studies that have suggested that ion uptake discrimination and ion suppression in the roots are major mechanisms for serpentine vegetation to tolerate the chemistry of serpentine soils. ?? 2008 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2008.07.014","issn":"08832","usgsCitation":"Oze, C., Skinner, C., Schroth, A., and Coleman, R.G., 2008, Growing up green on serpentine soils: Biogeochemistry of serpentine vegetation in the Central Coast Range of California: Applied Geochemistry, v. 23, no. 12, p. 3391-3403, https://doi.org/10.1016/j.apgeochem.2008.07.014.","startPage":"3391","endPage":"3403","numberOfPages":"13","costCenters":[],"links":[{"id":213495,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2008.07.014"},{"id":241124,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2ddde4b0c8380cd5c0c5","contributors":{"authors":[{"text":"Oze, C.","contributorId":45524,"corporation":false,"usgs":true,"family":"Oze","given":"C.","affiliations":[],"preferred":false,"id":439697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skinner, C.","contributorId":60448,"corporation":false,"usgs":true,"family":"Skinner","given":"C.","email":"","affiliations":[],"preferred":false,"id":439698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schroth, A.W.","contributorId":79707,"corporation":false,"usgs":true,"family":"Schroth","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":439700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, R. G.","contributorId":75170,"corporation":false,"usgs":true,"family":"Coleman","given":"R.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":439699,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033179,"text":"70033179 - 2008 - Sediment dispersal in the northwestern Adriatic Sea","interactions":[],"lastModifiedDate":"2017-09-19T11:29:12","indexId":"70033179","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Sediment dispersal in the northwestern Adriatic Sea","docAbstract":"Sediment dispersal in the Adriatic Sea was evaluated using coupled three-dimensional circulation and sediment transport models, representing conditions from autumn 2002 through spring 2003. The calculations accounted for fluvial sources, resuspension by waves and currents, and suspended transport. Sediment fluxes peaked during southwestward Bora wind conditions that produced energetic waves and strengthened the Western Adriatic Coastal Current. Transport along the western Adriatic continental shelf was nearly always to the south, except during brief periods when northward Sirocco winds reduced the coastal current. Much of the modeled fluvial sediment deposition was near river mouths, such as the Po subaqueous delta. Nearly all Po sediment remained in the northern Adriatic. Material from rivers that drain the Apennine Mountains traveled farther before deposition than Po sediment, because it was modeled with a lower settling velocity. Fluvial sediment delivered to areas with high average bed shear stress was more highly dispersed than material delivered to more quiescent areas. Modeled depositional patterns were similar to observed patterns that have developed over longer timescales. Specifically, modeled Po sediment accumulation was thickest near the river mouth with a very thin deposit extending to the northeast, consistent with patterns of modern sediment texture in the northern Adriatic. Sediment resuspended from the bed and delivered by Apennine Rivers was preferentially deposited on the northern side of the Gargano Peninsula, in the location of thick Holocene accumulation. Deposition here was highest during Bora winds when convergences in current velocities and off-shelf flux enhanced delivery of material to the midshelf. Copyright 2008 by the American Geophysical Union.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006JC003868","issn":"01480","usgsCitation":"Harris, C.K., Sherwood, C.R., Signell, R.P., Bever, A., and Warner, J., 2008, Sediment dispersal in the northwestern Adriatic Sea: Journal of Geophysical Research C: Oceans, v. 113, no. 11, C11S03; 18 p., https://doi.org/10.1029/2006JC003868.","productDescription":"C11S03; 18 p.","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":476654,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006jc003868","text":"Publisher Index Page"},{"id":241162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Adriatic Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              18.47900390625,\n              39.85915479295669\n            ],\n            [\n              19.40185546875,\n              40.413496049701955\n            ],\n            [\n              19.44580078125,\n              41.19518982948959\n            ],\n            [\n              19.62158203125,\n              41.82045509614034\n            ],\n            [\n              18.17138671875,\n              42.5530802889558\n            ],\n            [\n              16.89697265625,\n              43.1811470593997\n            ],\n            [\n              15.1171875,\n              43.78695837311561\n            ],\n            [\n              14.52392578125,\n              44.762336674810996\n            ],\n            [\n              13.7548828125,\n              45.058001435398296\n            ],\n            [\n              13.5791015625,\n              45.47554027158593\n            ],\n            [\n              13.2275390625,\n              45.78284835197676\n            ],\n            [\n              12.32666015625,\n              45.537136680398596\n            ],\n            [\n              12.0849609375,\n              45.259422036351694\n            ],\n            [\n              12.568359375,\n              44.94924926661151\n            ],\n            [\n              12.28271484375,\n              44.574817404670306\n            ],\n            [\n              12.37060546875,\n              44.15068115978094\n            ],\n            [\n              13.5791015625,\n              43.54854811091286\n            ],\n            [\n              14.150390625,\n              42.48830197960227\n            ],\n            [\n              15.18310546875,\n              41.902277040963696\n            ],\n            [\n              16.2158203125,\n              41.95131994679697\n            ],\n            [\n              16.2158203125,\n              41.72213058512578\n            ],\n            [\n              15.908203125,\n              41.49212083968776\n            ],\n            [\n              17.55615234375,\n              40.91351257612758\n            ],\n            [\n              18.30322265625,\n              40.51379915504413\n            ],\n            [\n              18.47900390625,\n              39.85915479295669\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"113","issue":"11","noUsgsAuthors":false,"publicationDate":"2008-10-29","publicationStatus":"PW","scienceBaseUri":"505b8984e4b08c986b316e03","contributors":{"authors":[{"text":"Harris, C. K.","contributorId":80337,"corporation":false,"usgs":true,"family":"Harris","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":439707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, C. R.","contributorId":48235,"corporation":false,"usgs":true,"family":"Sherwood","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":439705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Signell, R. P.","contributorId":89147,"corporation":false,"usgs":true,"family":"Signell","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":439708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bever, A.J.","contributorId":48766,"corporation":false,"usgs":true,"family":"Bever","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":439706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, J.C.","contributorId":46644,"corporation":false,"usgs":true,"family":"Warner","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":439704,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033355,"text":"70033355 - 2008 - Influence of flow-through and renewal exposures on the toxicity of copper to rainbow trout","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033355","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Influence of flow-through and renewal exposures on the toxicity of copper to rainbow trout","docAbstract":"We examined changes in water chemistry and copper (Cu) toxicity in three paired renewal and flow-through acute bioassays with rainbow trout (Oncorhynchus mykiss). Test exposure methodology influenced both exposure water chemistry and measured Cu toxicity. Ammonia and organic carbon concentrations were higher and the fraction of dissolved Cu lower in renewal tests than in paired flow-through tests. Cu toxicity was also lower in renewal tests; 96 h dissolved Cu LC50 values were 7-60% higher than LC50s from matching flow-through tests. LC50 values in both types of tests were related to dissolved organic carbon (DOC) concentrations in exposure tanks. Increases in organic carbon concentrations in renewal tests were associated with reduced Cu toxicity, likely as a result of the lower bioavailability of Cu-organic carbon complexes. The biotic ligand model of acute Cu toxicity tended to underpredict toxicity in the presence of DOC. Model fits between predicted and observed toxicity were improved by assuming that only 50% of the measured DOC was reactive, and that this reactive fraction was present as fulvic acid. ?? 2007 Elsevier Inc. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology and Environmental Safety","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecoenv.2007.04.003","issn":"01476513","usgsCitation":"Welsh, P., Lipton, J., Mebane, C., and Marr, J., 2008, Influence of flow-through and renewal exposures on the toxicity of copper to rainbow trout: Ecotoxicology and Environmental Safety, v. 69, no. 2, p. 199-208, https://doi.org/10.1016/j.ecoenv.2007.04.003.","startPage":"199","endPage":"208","numberOfPages":"10","costCenters":[],"links":[{"id":213405,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoenv.2007.04.003"},{"id":241029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b37e4b0c8380cd62319","contributors":{"authors":[{"text":"Welsh, P.G.","contributorId":86980,"corporation":false,"usgs":true,"family":"Welsh","given":"P.G.","email":"","affiliations":[],"preferred":false,"id":440479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lipton, J.","contributorId":15841,"corporation":false,"usgs":true,"family":"Lipton","given":"J.","email":"","affiliations":[],"preferred":false,"id":440477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mebane, C.A.","contributorId":84134,"corporation":false,"usgs":true,"family":"Mebane","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":440478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marr, J.C.A.","contributorId":94108,"corporation":false,"usgs":true,"family":"Marr","given":"J.C.A.","email":"","affiliations":[],"preferred":false,"id":440480,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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