The DNA vaccine based on the glycoprotein gene of Infectious hematopoietic necrosis virus induces a non-specific anti-viral immune response and long-term specific immunity against IHNV. This study characterized gene expression responses associated with the early anti-viral response. Homozygous rainbow trout were injected intra-muscularly (I.M.) with vector DNA or the IHNV DNA vaccine. Gene expression in muscle tissue (I.M. site) was evaluated using a 16,008 feature salmon cDNA microarray. Eighty different genes were significantly modulated in the vector DNA group while 910 genes were modulated in the IHNV DNA vaccinate group relative to control group. Quantitative reverse-transcriptase PCR was used to examine expression of selected immune genes at the I.M. site and in other secondary tissues. In the localized response (I.M. site), the magnitudes of gene expression changes were much greater in the vaccinate group relative to the vector DNA group for the majority of genes analyzed. At secondary systemic sites (e.g. gill, kidney and spleen), type I IFN-related genes were up-regulated in only the IHNV DNA vaccinated group. The results presented here suggest that the IHNV DNA vaccine induces up-regulation of the type I IFN system across multiple tissues, which is the functional basis of early anti-viral immunity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.molimm.2005.12.005","usgsCitation":"Purcell, M., Nichols, K.M., Winton, J.R., Kurath, G., Thorgaard, G.H., Wheeler, P., Hansen, J.D., Herwig, R.P., and Park, L.K., 2006, Comprehensive gene expression profiling following DNA vaccination of rainbow trout against infectious hematopoietic necrosis virus: Molecular Immunology, v. 43, no. 13, p. 2089-2106, https://doi.org/10.1016/j.molimm.2005.12.005.","productDescription":"18 p.","startPage":"2089","endPage":"2106","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":321523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d6461e4b07e28b66836ce","contributors":{"authors":[{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":138685,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":630060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, Krista M.","contributorId":169573,"corporation":false,"usgs":false,"family":"Nichols","given":"Krista","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":630062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":630063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorgaard, Gary H.","contributorId":60512,"corporation":false,"usgs":true,"family":"Thorgaard","given":"Gary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":630064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wheeler, Paul","contributorId":169574,"corporation":false,"usgs":false,"family":"Wheeler","given":"Paul","email":"","affiliations":[{"id":24743,"text":"School of Biological Sciences, Washington State University, Pullman, WA 99164, USA","active":true,"usgs":false}],"preferred":false,"id":630065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hansen, John D. 0000-0002-3006-2734 jhansen@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":3440,"corporation":false,"usgs":true,"family":"Hansen","given":"John","email":"jhansen@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":630066,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herwig, Russell P.","contributorId":169137,"corporation":false,"usgs":false,"family":"Herwig","given":"Russell","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":630067,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Park, Linda K.","contributorId":28525,"corporation":false,"usgs":true,"family":"Park","given":"Linda","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":630068,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70030598,"text":"70030598 - 2006 - Evaluation of the factors controlling the time-dependent inactivation rate coefficients of bacteriophage MS2 and PRD1","interactions":[],"lastModifiedDate":"2018-09-13T10:27:46","indexId":"70030598","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the factors controlling the time-dependent inactivation rate coefficients of bacteriophage MS2 and PRD1","docAbstract":"Static and dynamic batch experiments were conducted to study the effects of temperature and the presence of sand on the inactivation of bacteriophage MS2 and PRD1. The experimental data suggested that the inactivation process can be satisfactorily represented by a pseudo-first-order expression with time-dependent rate coefficients. The time-dependent rate coefficients were used to determine pertinent thermodynamic properties required for the analysis of the molecular processes involved in the inactivation of each bacteriophage. A combination of high temperature and the presence of sand appears to produce the greatest disruption to the surrounding protein coat of MS2. However, the lower activation energies for PRD1 indicate a weaker dependence of the inactivation rate on temperature. Instead, the presence of air-liquid and air-solid interfaces appears to produce the greatest damage to specific viral components that are related to infection. These results indicate the importance of using thermodynamic parameters based on the time-dependent inactivation model to better predict the inactivation of viruses in groundwater. ?? 2006 American Chemical Society.","language":"English","publisher":"ACS","doi":"10.1021/es051604b","issn":"0013936X","usgsCitation":"Anders, R., and Chrysikopoulos, C., 2006, Evaluation of the factors controlling the time-dependent inactivation rate coefficients of bacteriophage MS2 and PRD1: Environmental Science & Technology, v. 40, no. 10, p. 3237-3242, https://doi.org/10.1021/es051604b.","productDescription":"6 p.","startPage":"3237","endPage":"3242","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":239317,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211932,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es051604b"}],"volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2006-04-13","publicationStatus":"PW","scienceBaseUri":"505a0ce3e4b0c8380cd52d33","contributors":{"authors":[{"text":"Anders, R.","contributorId":74174,"corporation":false,"usgs":true,"family":"Anders","given":"R.","email":"","affiliations":[],"preferred":false,"id":427799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chrysikopoulos, C.V.","contributorId":16214,"corporation":false,"usgs":true,"family":"Chrysikopoulos","given":"C.V.","email":"","affiliations":[],"preferred":false,"id":427798,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030340,"text":"70030340 - 2006 - The contingent behavior of charter fishing participants on the Chesapeake Bay: Welfare estimates associated with water quality improvements","interactions":[],"lastModifiedDate":"2012-03-12T17:21:02","indexId":"70030340","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2261,"text":"Journal of Environmental Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"The contingent behavior of charter fishing participants on the Chesapeake Bay: Welfare estimates associated with water quality improvements","docAbstract":"Water quality in the Chesapeake Bay has deteriorated over recent years. Historically, fishing has contributed to the region's local economy in terms of commercial and recreational harvests. A contingent behavior model is used to estimate welfare measures for charter fishing participants with regard to a hypothetical improvement in water quality. Using a truncated Poisson count model corrected for endogenous stratification, it was found that charter fishers not only contribute to the local market economy, but they also place positive non-market value on preserving the Bay's water quality. Using two estimates for travels costs it is estimated that the individual consumer surplus is $200 and $117 per trip, and the average individual consumer surplus values for an improvement in water quality is $75 and $44 for two models estimated. ?? 2006 University of Newcastle upon Tyne.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Planning and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/09640560500508064","issn":"09640568","usgsCitation":"Poor, P., and Breece, M., 2006, The contingent behavior of charter fishing participants on the Chesapeake Bay: Welfare estimates associated with water quality improvements: Journal of Environmental Planning and Management, v. 49, no. 2, p. 265-278, https://doi.org/10.1080/09640560500508064.","startPage":"265","endPage":"278","numberOfPages":"14","costCenters":[],"links":[{"id":211745,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/09640560500508064"},{"id":239094,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa5be4b08c986b3227e9","contributors":{"authors":[{"text":"Poor, P.J.","contributorId":21348,"corporation":false,"usgs":true,"family":"Poor","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":426752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breece, M.","contributorId":16652,"corporation":false,"usgs":true,"family":"Breece","given":"M.","email":"","affiliations":[],"preferred":false,"id":426751,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":1001078,"text":"1001078 - 2006 - Recruitment of Hexagenia mayfly nymphs in western Lake Erie linked to environmental variability","interactions":[],"lastModifiedDate":"2016-05-09T09:35:33","indexId":"1001078","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment of Hexagenia mayfly nymphs in western Lake Erie linked to environmental variability","docAbstract":"After a 40-year absence caused by pollution and eutrophication, burrowing mayflies (Hexagenia spp.) recolonized western Lake Erie in the mid 1990s as water quality improved. Mayflies are an important food resource for the economically valuable yellow perch fishery and are considered to be major indicator species of the ecological condition of the lake. Since their reappearance, however, mayfly populations have suffered occasional unexplained recruitment failures. In 2002, a failure of fall recruitment followed an unusually warm summer in which western Lake Erie became temporarily stratified, resulting in low dissolved oxygen levels near the lake floor. In the present study, we examined a possible link between Hexagenia recruitment and periods of intermittent stratification for the years 1997-2002. A simple model was developed using surface temperature, wind speed, and water column data from 2003 to predict stratification. The model was then used to detect episodes of stratification in past years for which water column data are unavailable. Low or undetectable mayfly recruitment occurred in 1997 and 2002, years in which there was frequent or extended stratification between June and September. Highest mayfly reproduction in 2000 corresponded to the fewest stratified periods. These results suggest that even relatively brief periods of stratification can result in loss of larval mayfly recruitment, probably through the effects of hypoxia. A trend toward increasing frequency of hot summers in the Great Lakes region could result in recurrent loss of mayfly larvae in western Lake Erie and other shallow areas in the Great Lakes.
","language":"English","publisher":"Wiley","doi":"10.1890/1051-0761(2006)016[0601:ROHMNI]2.0.CO;2","usgsCitation":"Bridgeman, T., Schloesser, D.W., and Krause, A.E., 2006, Recruitment of Hexagenia mayfly nymphs in western Lake Erie linked to environmental variability: Ecological Applications, v. 16, no. 2, p. 601-611, https://doi.org/10.1890/1051-0761(2006)016[0601:ROHMNI]2.0.CO;2.","productDescription":"11 p.","startPage":"601","endPage":"611","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":128619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6966ec","contributors":{"authors":[{"text":"Bridgeman, Thomas B.","contributorId":27394,"corporation":false,"usgs":true,"family":"Bridgeman","given":"Thomas B.","affiliations":[],"preferred":false,"id":310414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schloesser, Don W.","contributorId":21485,"corporation":false,"usgs":true,"family":"Schloesser","given":"Don","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":310413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krause, Ann E.","contributorId":9201,"corporation":false,"usgs":true,"family":"Krause","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":310412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70030531,"text":"70030531 - 2006 - A spatial modeling approach to identify potential butternut restoration sites in Mammoth Cave National Park","interactions":[],"lastModifiedDate":"2012-03-12T17:21:04","indexId":"70030531","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A spatial modeling approach to identify potential butternut restoration sites in Mammoth Cave National Park","docAbstract":"Incorporation of disease resistance is nearly complete for several important North American hardwood species threatened by exotic fungal diseases. The next important step toward species restoration would be to develop reliable tools to delineate ideal restoration sites on a landscape scale. We integrated spatial modeling and remote sensing techniques to delineate potential restoration sites for Butternut (Juglans cinerea L.) trees, a hardwood species being decimated by an exotic fungus, in Mammoth Cave National Park (MCNP), Kentucky. We first developed a multivariate habitat model to determine optimum Butternut habitats within MCNP. Habitat characteristics of 54 known Butternut locations were used in combination with eight topographic and land use data layers to calculate an index of habitat suitability based on Mahalanobis distance (D2). We used a bootstrapping technique to test the reliability of model predictions. Based on a threshold value for the D2 statistic, 75.9% of the Butternut locations were correctly classified, indicating that the habitat model performed well. Because Butternut seedlings require extensive amounts of sunlight to become established, we used canopy cover data to refine our delineation of favorable areas for Butternut restoration. Areas with the most favorable conditions to establish Butternut seedlings were limited to 291.6 ha. Our study provides a useful reference on the amount and location of favorable Butternut habitat in MCNP and can be used to identify priority areas for future Butternut restoration. Given the availability of relevant habitat layers and accurate location records, our approach can be applied to other tree species and areas. ?? 2006 Society for Ecological Restoration International.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1526-100X.2006.00131.x","issn":"10612971","usgsCitation":"Thompson, L., Van Manen, F., Schlarbaum, S., and DePoy, M., 2006, A spatial modeling approach to identify potential butternut restoration sites in Mammoth Cave National Park: Restoration Ecology, v. 14, no. 2, p. 289-296, https://doi.org/10.1111/j.1526-100X.2006.00131.x.","startPage":"289","endPage":"296","numberOfPages":"8","costCenters":[],"links":[{"id":211958,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2006.00131.x"},{"id":239348,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2006-05-18","publicationStatus":"PW","scienceBaseUri":"5059e5a2e4b0c8380cd46ead","contributors":{"authors":[{"text":"Thompson, L.M.","contributorId":91684,"corporation":false,"usgs":true,"family":"Thompson","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":427544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Manen, F.T.","contributorId":45241,"corporation":false,"usgs":true,"family":"Van Manen","given":"F.T.","email":"","affiliations":[],"preferred":false,"id":427543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlarbaum, S.E.","contributorId":18943,"corporation":false,"usgs":true,"family":"Schlarbaum","given":"S.E.","affiliations":[],"preferred":false,"id":427542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DePoy, M.","contributorId":106706,"corporation":false,"usgs":true,"family":"DePoy","given":"M.","email":"","affiliations":[],"preferred":false,"id":427545,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70031108,"text":"70031108 - 2006 - Uplift and subsidence associated with the great Aceh-Andaman earthquake of 2004","interactions":[],"lastModifiedDate":"2012-03-12T17:21:16","indexId":"70031108","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Uplift and subsidence associated with the great Aceh-Andaman earthquake of 2004","docAbstract":"Rupture of the Sunda megathrust on 26 December 2004 produced broad regions of uplift and subsidence. We define the pivot line separating these regions as a first step in defining the lateral extent and the downdip limit of rupture during that great Mw ??? 9.2 earthquake. In the region of the Andaman and Nicobar islands we rely exclusively on the interpretation of satellite imagery and a tidal model. At the southern limit of the great rupture we rely principally on field measurements of emerged coral microatolls. Uplift extends from the middle of Simeulue Island, Sumatra, at ??? 2.5??N, to Preparis Island, Myanmar (Burma), at ??? 14.9??N. Thus the rupture is ??? 1600 km long. The distance from the pivot line to the trench varies appreciably. The northern and western Andaman Islands rose, whereas the southern and eastern portion of the islands subsided. The Nicobar Islands and the west coast of Aceh province, Sumatra, subsided. Tilt at the southern end of the rupture is steep; the distance from 1.5 m of uplift to the pivot line is just 60 km. Our method of using satellite imagery to recognize changes in elevation relative to sea surface height and of using a tidal model to place quantitative bounds on coseismic uplift or subsidence is a novel approach that can be adapted to other forms of remote sensing and can be applied to other subduction zones in tropical regions. Copyright 2006 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2005JB003891","issn":"01480227","usgsCitation":"Meltzner, A., Sieh, K., Abrams, M., Agnew, D., Hudnut, K., Avouac, J., and Natawidjaja, D., 2006, Uplift and subsidence associated with the great Aceh-Andaman earthquake of 2004: Journal of Geophysical Research B: Solid Earth, v. 111, no. 2, https://doi.org/10.1029/2005JB003891.","costCenters":[],"links":[{"id":477461,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10220/8435","text":"External Repository"},{"id":238876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211569,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005JB003891"}],"volume":"111","issue":"2","noUsgsAuthors":false,"publicationDate":"2006-02-15","publicationStatus":"PW","scienceBaseUri":"505bbd26e4b08c986b328eec","contributors":{"authors":[{"text":"Meltzner, A.J.","contributorId":27891,"corporation":false,"usgs":true,"family":"Meltzner","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":430066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sieh, K.","contributorId":61972,"corporation":false,"usgs":true,"family":"Sieh","given":"K.","affiliations":[],"preferred":false,"id":430069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrams, M.","contributorId":42423,"corporation":false,"usgs":true,"family":"Abrams","given":"M.","affiliations":[],"preferred":false,"id":430068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agnew, D.C.","contributorId":32186,"corporation":false,"usgs":true,"family":"Agnew","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":430067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudnut, K.W.","contributorId":25179,"corporation":false,"usgs":true,"family":"Hudnut","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":430065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Avouac, J.-P.","contributorId":91691,"corporation":false,"usgs":true,"family":"Avouac","given":"J.-P.","affiliations":[],"preferred":false,"id":430071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Natawidjaja, D.H.","contributorId":91668,"corporation":false,"usgs":true,"family":"Natawidjaja","given":"D.H.","affiliations":[],"preferred":false,"id":430070,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171292,"text":"70171292 - 2006 - Modeling brook trout presence and absence from landscape variables using four different analytical methods","interactions":[],"lastModifiedDate":"2016-05-26T11:19:04","indexId":"70171292","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"48","subseriesTitle":"American Fisheries Society Symposia","title":"Modeling brook trout presence and absence from landscape variables using four different analytical methods","docAbstract":"As a part of the Great Lakes Regional Aquatic Gap Analysis Project, we evaluated methodologies for modeling associations between fish species and habitat characteristics at a landscape scale. To do this, we created brook trout Salvelinus fontinalis presence and absence models based on four different techniques: multiple linear regression, logistic regression, neural networks, and classification trees. The models were tested in two ways: by application to an independent validation database and cross-validation using the training data, and by visual comparison of statewide distribution maps with historically recorded occurrences from the Michigan Fish Atlas. Although differences in the accuracy of our models were slight, the logistic regression model predicted with the least error, followed by multiple regression, then classification trees, then the neural networks. These models will provide natural resource managers a way to identify habitats requiring protection for the conservation of fish species.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landscape influences on stream habitats and biological assemblages","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"Steen, P.J., Passino-Reader, D.R., and Wiley, M., 2006, Modeling brook trout presence and absence from landscape variables using four different analytical methods, chap. of Landscape influences on stream habitats and biological assemblages, p. 513-531.","productDescription":"19 p.","startPage":"513","endPage":"531","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":321739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321743,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/x54048xm/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57481e38e4b07e28b664dbdf","contributors":{"authors":[{"text":"Steen, Paul J.","contributorId":12342,"corporation":false,"usgs":true,"family":"Steen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":630453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Passino-Reader, Dora R.","contributorId":50839,"corporation":false,"usgs":true,"family":"Passino-Reader","given":"Dora","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":630454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, Michael J.","contributorId":30112,"corporation":false,"usgs":true,"family":"Wiley","given":"Michael J.","affiliations":[],"preferred":false,"id":630455,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171293,"text":"70171293 - 2006 - A broadscale fish-habitat model development process: Genesee Basin, New York","interactions":[],"lastModifiedDate":"2016-05-26T11:18:26","indexId":"70171293","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"48","subseriesTitle":"American Fisheries Society Symposia","title":"A broadscale fish-habitat model development process: Genesee Basin, New York","docAbstract":"We describe a methodology for developing species-habitat models using available fish and stream habitat data from New York State, focusing on the Genesee basin. Electrofishing data from the New York Department of Environmental Conservation were standardized and used for model development and testing. Four types of predictive models (multiple linear regression, stepwise multiple linear regression, linear discriminant analysis, and neural network) were developed and compared for 11 fish species. Predictive models used as many as 25 habitat variables and explained 35-91% of observed species abundance variability. Omission rates were generally low, but commission rates varied widely. Neural network models performed best for all species, except for rainbow trout Oncorhynchus mykiss, gizzard shad Dorosoma cepedianum, and brown trout Salmo trutta. Linear discriminant functions generally performed poorly. The species-environment models we constructed performed well and have potential applications to management issues.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landscape influences on stream habitats and biological assemblages","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"McKenna, J., McDonald, R.R., Castiglione, C., Morrison, S.S., Kowalski, K., and Passino, D.R., 2006, A broadscale fish-habitat model development process: Genesee Basin, New York, chap. of Landscape influences on stream habitats and biological assemblages, p. 533-554.","productDescription":"22 p.","startPage":"533","endPage":"554","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":321742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321741,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/x54048xm/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57481e2ae4b07e28b664db75","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":630457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":630458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castiglione, Chris","contributorId":150899,"corporation":false,"usgs":false,"family":"Castiglione","given":"Chris","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":630459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Sandy S.","contributorId":169644,"corporation":false,"usgs":false,"family":"Morrison","given":"Sandy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":630460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":630461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Passino, Dora R. May","contributorId":23877,"corporation":false,"usgs":true,"family":"Passino","given":"Dora","email":"","middleInitial":"R. May","affiliations":[],"preferred":false,"id":630462,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030465,"text":"70030465 - 2006 - Scattered surface wave energy in the seismic coda","interactions":[],"lastModifiedDate":"2013-05-09T13:17:11","indexId":"70030465","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Scattered surface wave energy in the seismic coda","docAbstract":"One of the many important contributions that Aki has made to seismology pertains to the origin of coda waves (Aki, 1969; Aki and Chouet, 1975). In this paper, I revisit Aki's original idea of the role of scattered surface waves in the seismic coda. Based on the radiative transfer theory, I developed a new set of scattered wave energy equations by including scattered surface waves and body wave to surface wave scattering conversions. The work is an extended study of Zeng et al. (1991), Zeng (1993) and Sato (1994a) on multiple isotropic-scattering, and may shed new insight into the seismic coda wave interpretation. The scattering equations are solved numerically by first discretizing the model at regular grids and then solving the linear integral equations iteratively. The results show that scattered wave energy can be well approximated by body-wave to body wave scattering at earlier arrival times and short distances. At long distances from the source, scattered surface waves dominate scattered body waves at surface stations. Since surface waves are 2-D propagating waves, their scattered energies should in theory follow a common decay curve. The observed common decay trends on seismic coda of local earthquake recordings particular at long lapse times suggest that perhaps later seismic codas are dominated by scattered surface waves. When efficient body wave to surface wave conversion mechanisms are present in the shallow crustal layers, such as soft sediment layers, the scattered surface waves dominate the seismic coda at even early arrival times for shallow sources and at later arrival times for deeper events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00024-005-0025-7","issn":"00334553","usgsCitation":"Zeng, Y., 2006, Scattered surface wave energy in the seismic coda: Pure and Applied Geophysics, v. 163, no. 2-3, p. 533-548, https://doi.org/10.1007/s00024-005-0025-7.","startPage":"533","endPage":"548","numberOfPages":"16","costCenters":[],"links":[{"id":212011,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-005-0025-7"},{"id":239414,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"163","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8730e4b08c986b316373","contributors":{"authors":[{"text":"Zeng, Y.","contributorId":23759,"corporation":false,"usgs":true,"family":"Zeng","given":"Y.","email":"","affiliations":[],"preferred":false,"id":427243,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":1001073,"text":"1001073 - 2006 - Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations","interactions":[],"lastModifiedDate":"2012-02-02T00:04:44","indexId":"1001073","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations","docAbstract":"Stock-recruit models typically use only spawning stock size as a predictor of recruitment to a fishery. In this paper, however, we used spawning stock size as well as larval density and key environmental variables to predict recruitment of white crappies Pomoxis annularis and black crappies P. nigromaculatus, a genus notorious for variable recruitment. We sampled adults and recruits from 11 Ohio reservoirs and larvae from 9 reservoirs during 1998-2001. We sampled chlorophyll as an index of reservoir productivity and obtained daily estimates of water elevation to determine the impact of hydrology on recruitment. Akaike's information criterion (AIC) revealed that Ricker and Beverton-Holt stock-recruit models that included chlorophyll best explained the variation in larval density and age-2 recruits. Specifically, spawning stock catch per effort (CPE) and chlorophyll explained 63-64% of the variation in larval density. In turn, larval density and chlorophyll explained 43-49% of the variation in age-2 recruit CPE. Finally, spawning stock CPE and chlorophyll were the best predictors of recruit CPE (i.e., 74-86%). Although larval density and recruitment increased with chlorophyll, neither was related to seasonal water elevation. Also, the AIC generally did not distinguish between Ricker and Beverton-Holt models. From these relationships, we concluded that crappie recruitment can be limited by spawning stock CPE and larval production when spawning stock sizes are low (i.e., CPE , 5 crappies/net-night). At higher levels of spawning stock sizes, spawning stock CPE and recruitment were less clearly related. To predict recruitment in Ohio reservoirs, managers should assess spawning stock CPE with trap nets and estimate chlorophyll concentrations. To increase crappie recruitment in reservoirs where recruitment is consistently poor, managers should use regulations to increase spawning stock size, which, in turn, should increase larval production and recruits to the fishery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Bunnell, D., Hale, R.S., Vanni, M., and Stein, R., 2006, Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations: North American Journal of Fisheries Management, v. 26, no. 1, p. 1-12.","productDescription":"p. 1-12","startPage":"1","endPage":"12","numberOfPages":"11","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":133662,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cae6","contributors":{"authors":[{"text":"Bunnell, David B.","contributorId":14360,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","affiliations":[],"preferred":false,"id":310396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hale, R. Scott","contributorId":104868,"corporation":false,"usgs":true,"family":"Hale","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":310399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vanni, Michael J.","contributorId":49756,"corporation":false,"usgs":true,"family":"Vanni","given":"Michael J.","affiliations":[],"preferred":false,"id":310398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stein, Roy A.","contributorId":21494,"corporation":false,"usgs":true,"family":"Stein","given":"Roy A.","affiliations":[],"preferred":false,"id":310397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030368,"text":"70030368 - 2006 - Submarine geology of Hana Ridge and Haleakala Volcano's northeast flank, Maui","interactions":[],"lastModifiedDate":"2019-04-08T08:42:24","indexId":"70030368","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Submarine geology of Hana Ridge and Haleakala Volcano's northeast flank, Maui","docAbstract":"We present a morphostructural analysis of the submarine portions of Haleakala Volcano and environs, based upon a 4-year program of geophysical surveys and submersible explorations of the underwater flanks of Hawaiian volcanoes that was conducted by numerous academic and governmental research organizations in Japan and the U.S. and funded primarily by the Japan Agency for Marine–Earth Science and Technology. A resulting reconnaissance geologic map features the 135-km-long Hana Ridge, the 3000 km2 Hana slump on the volcano's northeast flank, and island-surrounding terraces that are the submerged parts of volcanic shields. Hana Ridge below 2000 m water depth exhibits the lobate morphology typical of the subaqueously erupted parts of Hawaiian rift zones, with some important distinctions: namely, subparallel crestlines, which we propose result from the down-rift migration of offsets in the dike intrusion zone, and an amphitheater at its distal toe, where a submarine landslide has embayed the ridge tip. Deformation of Haleakala's northeast flank is limited to that part identified as the Hana slump, which lies downslope from the volcano's submerged shield, indicating that flank mobility is also limited in plan, inconsistent with hypothesized volcanic spreading driven by rift-zone dilation. The leading edge of the slump has transverse basins and ridges that resemble the thrust ramps of accretionary prisms, and we present a model to describe the slump's development that emphasizes the role of coastally generated fragmental basalt on gravitational instability of Haleakala's northeast flank and that may be broadly applicable to other ocean-island slumps.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2005.07.034","issn":"03770273","usgsCitation":"Eakins, B., and Robinson, J., 2006, Submarine geology of Hana Ridge and Haleakala Volcano's northeast flank, Maui: Journal of Volcanology and Geothermal Research, v. 151, no. 1-3, p. 229-250, https://doi.org/10.1016/j.jvolgeores.2005.07.034.","productDescription":"22 p.","startPage":"229","endPage":"250","numberOfPages":"22","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":239584,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Haleakala Volcano, Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157,\n 20 \n ],\n [\n -157,\n 22\n ],\n [\n -154,\n 22\n ],\n [\n -154,\n 20\n ],\n [\n -157,\n 20\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"151","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9d23e4b08c986b31d674","contributors":{"authors":[{"text":"Eakins, Barry W.","contributorId":18462,"corporation":false,"usgs":true,"family":"Eakins","given":"Barry W.","affiliations":[],"preferred":false,"id":426880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":426881,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030248,"text":"70030248 - 2006 - Groundwater-supported evapotranspiration within glaciated watersheds under conditions of climate change","interactions":[],"lastModifiedDate":"2012-03-12T17:21:02","indexId":"70030248","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Groundwater-supported evapotranspiration within glaciated watersheds under conditions of climate change","docAbstract":"This paper analyzes the effects of geology and geomorphology on surface-water/-groundwater interactions, evapotranspiration, and recharge under conditions of long-term climatic change. Our analysis uses hydrologic data from the glaciated Crow Wing watershed in central Minnesota, USA, combined with a hydrologic model of transient coupled unsaturated/saturated flow (HYDRAT2D). Analysis of historical water-table (1970-1993) and lake-level (1924-2002) records indicates that larger amplitude and longer period fluctuations occur within the upland portions of watersheds due to the response of the aquifer system to relatively short-term climatic fluctuations. Under drought conditions, lake and water-table levels fell by as much as 2-4 m in the uplands but by 1 m in the lowlands. The same pattern can be seen on millennial time scales. Analysis of Holocene lake-core records indicates that Moody Lake, located near the outlet of the Crow Wing watershed, fell by as much as 4 m between about 4400 and 7000 yr BP. During the same time, water levels in Lake Mina, located near the upland watershed divide, fell by about 15 m. Reconstructed Holocene climate as represented by HYDRAT2D gives somewhat larger drops (6 and 24 m for Moody Lake and Lake Mina, respectively). The discrepancy is probably due to the effect of three-dimensional flow. A sensitivity analysis was also carried out to study how aquifer hydraulic conductivity and land-surface topography can influence water-table fluctuations, wetlands formation, and evapotranspiration. The models were run by recycling a wet year (1985, 87 cm annual precipitation) over a 10-year period followed by 20 years of drier and warmer climate (1976, 38 cm precipitation). Model results indicated that groundwater-supported evapotranspiration accounted for as much as 12% (10 cm) of evapotranspiration. The aquifers of highest hydraulic conductivity had the least amount of groundwater-supported evapotranspiration owing to a deep water table. Recharge was even more sensitive to aquifer hydraulic conductivity, especially in the lowland regions. These findings have important implications for paleoclimatic studies, because the hydrologic response of a surface-water body will vary across the watershed to a given climate signal. ?? 2005 Elsevier B.V. All rights reserved.","largerWorkTitle":"Journal of Hydrology","language":"English","doi":"10.1016/j.jhydrol.2005.07.051","issn":"00221694","usgsCitation":"Cohen, D., Person, M., Daannen, R., Locke, S., Dahlstrom, D., Zabielski, V., Winter, T.C., Rosenberry, D., Wright, H., Ito, E., Nieber, J., and Gutowski, W., 2006, Groundwater-supported evapotranspiration within glaciated watersheds under conditions of climate change, in Journal of Hydrology, v. 320, no. 3-4, p. 484-500, https://doi.org/10.1016/j.jhydrol.2005.07.051.","startPage":"484","endPage":"500","numberOfPages":"17","costCenters":[],"links":[{"id":487635,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/ge_at_pubs/92","text":"External Repository"},{"id":211854,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2005.07.051"},{"id":239225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"320","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2dd1e4b0c8380cd5c051","contributors":{"authors":[{"text":"Cohen, D.","contributorId":108299,"corporation":false,"usgs":true,"family":"Cohen","given":"D.","email":"","affiliations":[],"preferred":false,"id":426299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Person, M.","contributorId":20876,"corporation":false,"usgs":true,"family":"Person","given":"M.","email":"","affiliations":[],"preferred":false,"id":426289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daannen, R.","contributorId":85398,"corporation":false,"usgs":true,"family":"Daannen","given":"R.","email":"","affiliations":[],"preferred":false,"id":426298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Locke, S.","contributorId":79291,"corporation":false,"usgs":true,"family":"Locke","given":"S.","email":"","affiliations":[],"preferred":false,"id":426296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dahlstrom, D.","contributorId":55207,"corporation":false,"usgs":true,"family":"Dahlstrom","given":"D.","affiliations":[],"preferred":false,"id":426295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zabielski, V.","contributorId":84156,"corporation":false,"usgs":true,"family":"Zabielski","given":"V.","email":"","affiliations":[],"preferred":false,"id":426297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, T. C.","contributorId":23485,"corporation":false,"usgs":true,"family":"Winter","given":"T.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":426290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosenberry, D.O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":38500,"corporation":false,"usgs":true,"family":"Rosenberry","given":"D.O.","affiliations":[],"preferred":true,"id":426292,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wright, H.","contributorId":7083,"corporation":false,"usgs":true,"family":"Wright","given":"H.","email":"","affiliations":[],"preferred":false,"id":426288,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ito, E.","contributorId":24956,"corporation":false,"usgs":true,"family":"Ito","given":"E.","email":"","affiliations":[],"preferred":false,"id":426291,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nieber, J.L.","contributorId":47942,"corporation":false,"usgs":true,"family":"Nieber","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":426293,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gutowski, W.J. Jr.","contributorId":48344,"corporation":false,"usgs":true,"family":"Gutowski","given":"W.J.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":426294,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70030808,"text":"70030808 - 2006 - Case study: Mapping tsunami hazards associated with debris flow into a reservoir","interactions":[],"lastModifiedDate":"2012-03-12T17:21:18","indexId":"70030808","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Case study: Mapping tsunami hazards associated with debris flow into a reservoir","docAbstract":"Debris-flow generated impulse waves (tsunamis) pose hazards in lakes, especially those used for hydropower or recreation. We describe a method for assessing tsunami-related hazards for the case in which inundation by coherent water waves, rather than chaotic splashing, is of primary concern. The method involves an experimentally based initial condition (tsunami source) and a Boussinesq model for tsunami propagation and inundation. Model results are used to create hazard maps that offer guidance for emergency planners and responders. An example application explores tsunami hazards associated with potential debris flows entering Baker Lake, a reservoir on the flanks of the Mount Baker volcano in the northwestern United States. ?? 2006 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)0733-9429(2006)132:1(1)","issn":"07339429","usgsCitation":"Walder, J.S., Watts, P., and Waythomas, C.F., 2006, Case study: Mapping tsunami hazards associated with debris flow into a reservoir: Journal of Hydraulic Engineering, v. 132, no. 1, p. 1-11, https://doi.org/10.1061/(ASCE)0733-9429(2006)132:1(1).","startPage":"1","endPage":"11","numberOfPages":"11","costCenters":[],"links":[{"id":238891,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211581,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)0733-9429(2006)132:1(1)"}],"volume":"132","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f38ce4b0c8380cd4b88e","contributors":{"authors":[{"text":"Walder, J. S.","contributorId":32561,"corporation":false,"usgs":true,"family":"Walder","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":428777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, P.","contributorId":81669,"corporation":false,"usgs":true,"family":"Watts","given":"P.","email":"","affiliations":[],"preferred":false,"id":428778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waythomas, C. F.","contributorId":10065,"corporation":false,"usgs":true,"family":"Waythomas","given":"C.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":428776,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171290,"text":"70171290 - 2006 - Coastal groundwater/surface-water interactions: a Great Lakes case study","interactions":[],"lastModifiedDate":"2016-05-26T11:09:42","indexId":"70171290","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"22","title":"Coastal groundwater/surface-water interactions: a Great Lakes case study","docAbstract":"Key similarities exist between marine and Great Lakes coastal environments. Water and nutrient fluxes across lakebeds in the Great Lakes are influenced by seiche and wind set-up and set-down, analogous to tidal influence in marine settings. Groundwater/surface-water interactions also commonly involve a saline-fresh water interface, although in the Great-Lakes cases, it is groundwater that is commonly saline and surface water that is fresh. Evapotranspiration also affects nearshore hydrology in both settings. Interactions between groundwater and surface water have recently been identified as an important component of ecological processes in the Great Lakes. Water withdrawals and the reversal of the groundwater/surface water seepage gradient are also common to many coastal areas around the Great Lakes. As compared to surface water, regional groundwater that discharges to western Lake Erie from Michigan is highly mineralized. Studies conducted by the U.S. Geological Survey at Erie State Game Area in southeastern Michigan, describe groundwater flow dynamics and chemistry, shallow lake-water chemistry, and fish and invertebrate communities. Results presented here provide an overview of recent progress of ongoing interdisciplinary studies of Great Lakes nearshore systems and describe a conceptual model that identifies relations among geologic, hydrologic, chemical, and biological processes in the coastal habitats of Lake Erie. This conceptual model is based on analysis of hydraulic head in piezometers at the study site and chemical analysis of deep and shallow coastal groundwater.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal hydrology and processes","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Water Resources Publications","usgsCitation":"Neff, B., Haack, S.K., Rosenberry, D.O., Savino, J.F., and Lundstrom, S.C., 2006, Coastal groundwater/surface-water interactions: a Great Lakes case study, chap. 22 of Coastal hydrology and processes, p. 289-295.","productDescription":"8 p.","startPage":"289","endPage":"295","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":321736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321735,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wrpllc.com/books/chp.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57481e2de4b07e28b664db8e","contributors":{"authors":[{"text":"Neff, Brian P.","contributorId":27548,"corporation":false,"usgs":true,"family":"Neff","given":"Brian P.","affiliations":[],"preferred":false,"id":630448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":630449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":630450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savino, Jacqueline F. jsavino@usgs.gov","contributorId":2213,"corporation":false,"usgs":true,"family":"Savino","given":"Jacqueline","email":"jsavino@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":630451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundstrom, Scott C. 0000-0003-4149-2219 sclundst@usgs.gov","orcid":"https://orcid.org/0000-0003-4149-2219","contributorId":2446,"corporation":false,"usgs":true,"family":"Lundstrom","given":"Scott","email":"sclundst@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":630452,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030599,"text":"70030599 - 2006 - Flow resistance dynamics in step‐pool stream channels: 1. Large woody debris and controls on total resistance","interactions":[],"lastModifiedDate":"2018-04-03T16:54:57","indexId":"70030599","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Flow resistance dynamics in step‐pool stream channels: 1. Large woody debris and controls on total resistance","docAbstract":"Flow resistance dynamics in step‐pool channels were investigated through physical modeling using a laboratory flume. Variables contributing to flow resistance in step‐pool channels were manipulated in order to measure the effects of various large woody debris (LWD) configurations, steps, grains, discharge, and slope on total flow resistance. This entailed nearly 400 flume runs, organized into a series of factorial experiments. Factorial analyses of variance indicated significant two‐way and three‐way interaction effects between steps, grains, and LWD, illustrating the complexity of flow resistance in these channels. Interactions between steps and LWD resulted in substantially greater flow resistance for steps with LWD than for steps lacking LWD. LWD position contributed to these interactions, whereby LWD pieces located near the lip of steps, analogous to step‐forming debris in natural channels, increased the effective height of steps and created substantially higher flow resistance than pieces located farther upstream on step treads. Step geometry and LWD density and orientation also had highly significant effects on flow resistance. Flow resistance dynamics and the resistance effect of bed roughness configurations were strongly discharge‐dependent; discharge had both highly significant main effects on resistance and highly significant interactions with all other variables.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2005WR004277","usgsCitation":"Wilcox, A.C., and Wohl, E.E., 2006, Flow resistance dynamics in step‐pool stream channels: 1. Large woody debris and controls on total resistance: Water Resources Research, v. 42, no. 5, Article W05418; 16 p., https://doi.org/10.1029/2005WR004277.","productDescription":"Article W05418; 16 p.","costCenters":[],"links":[{"id":477436,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005wr004277","text":"Publisher Index Page"},{"id":239318,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2006-05-17","publicationStatus":"PW","scienceBaseUri":"505a124fe4b0c8380cd54268","contributors":{"authors":[{"text":"Wilcox, Andrew C. 0000-0002-6241-8977","orcid":"https://orcid.org/0000-0002-6241-8977","contributorId":195613,"corporation":false,"usgs":false,"family":"Wilcox","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":427801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wohl, Ellen E.","contributorId":16969,"corporation":false,"usgs":true,"family":"Wohl","given":"Ellen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":427800,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030591,"text":"70030591 - 2006 - Early Cretaceous terrestrial ecosystems in East Asia based on food-web and energy-flow models","interactions":[],"lastModifiedDate":"2012-03-12T17:21:05","indexId":"70030591","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"Early Cretaceous terrestrial ecosystems in East Asia based on food-web and energy-flow models","docAbstract":"In recent years, there has been global interest in the environments and ecosystems around the world. It is helpful to reconstruct past environments and ecosystems to help understand them in the present and the future. The present environments and ecosystems are an evolving continuum with those of the past and the future. This paper demonstrates the contribution of geology and paleontology to such continua. Using fossils, we can make an estimation of past population density as an ecosystem index based on food-web and energy-flow models. Late Mesozoic nonmarine deposits are distributed widely on the eastern Asian continent and contain various kinds of fossils such as fishes, amphibians, reptiles, dinosaurs, mammals, bivalves, gastropods, insects, ostracodes, conchostracans, terrestrial plants, and others. These fossil organisms are useful for late Mesozoic terrestrial ecosystem reconstruction using food-web and energy-flow models. We chose Early Cretaceous fluvio-lacustrine basins in the Choyr area, southeastern Mongolia, and the Tetori area, Japan, for these analyses and as a potential model for reconstruction of other similar basins in East Asia. The food-web models are restored based on taxa that occurred in these basins. They form four or five trophic levels in an energy pyramid consisting of rich primary producers at its base and smaller biotas higher in the food web. This is the general energy pyramid of a typical ecosystem. Concerning the population densities of vertebrate taxa in 1 km2 in these basins, some differences are recognized between Early Cretaceous and the present. For example, Cretaceous estimates suggest 2.3 to 4.8 times as many herbivores and 26.0 to 105.5 times the carnivore population. These differences are useful for the evaluation of past population densities of vertebrate taxa. Such differences may also be caused by the different metabolism of different taxa. Preservation may also be a factor, and we recognize that various problems occur in past ecosystem reconstructions. Counts of small numbers of confirmed species and estimates of maximum numbers of species present in the basin are used for the analysis and estimation of energy flow. This approach applies the methods of modern ecosystem analysis. ?? 2005 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cretaceous Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cretres.2005.11.010","issn":"01956671","usgsCitation":"Matsukawa, M., Saiki, K., Ito, M., Obata, I., Nichols, D.J., Lockley, M., Kukihara, R., and Shibata, K., 2006, Early Cretaceous terrestrial ecosystems in East Asia based on food-web and energy-flow models: Cretaceous Research, v. 27, no. 2, p. 285-307, https://doi.org/10.1016/j.cretres.2005.11.010.","startPage":"285","endPage":"307","numberOfPages":"23","costCenters":[],"links":[{"id":477453,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doc.rero.ch/record/14905/files/PAL_E2047.pdf","text":"External Repository"},{"id":211815,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cretres.2005.11.010"},{"id":239180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0475e4b0c8380cd509ce","contributors":{"authors":[{"text":"Matsukawa, M.","contributorId":59627,"corporation":false,"usgs":true,"family":"Matsukawa","given":"M.","email":"","affiliations":[],"preferred":false,"id":427776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saiki, K.","contributorId":62827,"corporation":false,"usgs":true,"family":"Saiki","given":"K.","email":"","affiliations":[],"preferred":false,"id":427777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ito, M.","contributorId":26127,"corporation":false,"usgs":true,"family":"Ito","given":"M.","email":"","affiliations":[],"preferred":false,"id":427772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Obata, I.","contributorId":86562,"corporation":false,"usgs":true,"family":"Obata","given":"I.","email":"","affiliations":[],"preferred":false,"id":427778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, D. J.","contributorId":55466,"corporation":false,"usgs":true,"family":"Nichols","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":427775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lockley, M.G.","contributorId":34301,"corporation":false,"usgs":true,"family":"Lockley","given":"M.G.","affiliations":[],"preferred":false,"id":427773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kukihara, R.","contributorId":22142,"corporation":false,"usgs":true,"family":"Kukihara","given":"R.","email":"","affiliations":[],"preferred":false,"id":427771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shibata, K.","contributorId":40420,"corporation":false,"usgs":true,"family":"Shibata","given":"K.","email":"","affiliations":[],"preferred":false,"id":427774,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70028316,"text":"70028316 - 2006 - A static predictor of seismic demand on frames based on a post-elastic deflected shape","interactions":[],"lastModifiedDate":"2012-03-12T17:20:45","indexId":"70028316","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1434,"text":"Earthquake Engineering and Structural Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"A static predictor of seismic demand on frames based on a post-elastic deflected shape","docAbstract":"Predictors of seismic structural demands (such as inter-storey drift angles) that are less time-consuming than nonlinear dynamic analysis have proven useful for structural performance assessment and for design. Luco and Cornell previously proposed a simple predictor that extends the idea of modal superposition (of the first two modes) with the square-root-of-sum-of-squares (SRSS) rule by taking a first-mode inelastic spectral displacement into account. This predictor achieved a significant improvement over simply using the response of an elastic oscillator; however, it cannot capture well large displacements caused by local yielding. A possible improvement of Luco's predictor is discussed in this paper, where it is proposed to consider three enhancements: (i) a post-elastic first-mode shape approximated by the deflected shape from a nonlinear static pushover analysis (NSPA) at the step corresponding to the maximum drift of an equivalent inelastic single-degree-of-freedom (SDOF) system, (ii) a trilinear backbone curve for the SDOF system, and (iii) the elastic third-mode response for long-period buildings. Numerical examples demonstrate that the proposed predictor is less biased and results in less dispersion than Luco's original predictor. Copyright ?? 2006 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Engineering and Structural Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/eqe.587","issn":"00988847","usgsCitation":"Mori, Y., Yamanaka, T., Luco, N., and Cornell, C., 2006, A static predictor of seismic demand on frames based on a post-elastic deflected shape: Earthquake Engineering and Structural Dynamics, v. 35, no. 10, p. 1295-1318, https://doi.org/10.1002/eqe.587.","startPage":"1295","endPage":"1318","numberOfPages":"24","costCenters":[],"links":[{"id":210051,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eqe.587"},{"id":236853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e5ace4b0c8380cd46eea","contributors":{"authors":[{"text":"Mori, Y.","contributorId":66902,"corporation":false,"usgs":true,"family":"Mori","given":"Y.","email":"","affiliations":[],"preferred":false,"id":417509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yamanaka, T.","contributorId":10601,"corporation":false,"usgs":true,"family":"Yamanaka","given":"T.","email":"","affiliations":[],"preferred":false,"id":417506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":417507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornell, C.A.","contributorId":36238,"corporation":false,"usgs":true,"family":"Cornell","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":417508,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030290,"text":"70030290 - 2006 - Sedimentary deposits of the 26 December 2004 tsunami on the northwest coast of Aceh, Indonesia","interactions":[],"lastModifiedDate":"2013-01-17T22:05:58","indexId":"70030290","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentary deposits of the 26 December 2004 tsunami on the northwest coast of Aceh, Indonesia","docAbstract":"The 2004 Sumatra-Andaman tsunami flooded coastal northern Sumatra to a depth of over 20 m, deposited a discontinuous sheet of sand up to 80 cm thick, and left mud up to 5 km inland. In most places the sand sheet is normally graded, and in some it contains complex internal stratigraphy. Structures within the sand sheet may record the passage of up to 3 individual waves. We studied the 2004 tsunami deposits in detail along a flow-parallel transect about 400 m long, 16 km southwest of Banda Aceh. Near the shore along this transect, the deposit is thin or absent. Between 50 and 400 m inland it ranges in thickness from 5 to 20 cm. The main trend in thickness is a tendency to thicken by filling low spots, most dramatically at pre-existing stream channels. Deposition generally attended inundation - along the transect, the tsunami deposited sand to within about 40 m of the inundation limit. Although the tsunami deposit contains primarily material indistinguishable from material found on the beach one month after the event, it also contains grain sizes and compositions unavailable on the current beach. Along the transect we studied, these grains become increasingly dominant both landward and upward in the deposit; possibly some landward source of sediment was exposed and exploited by the passage of the waves. The deposit also contains the unabraded shells of subtidal marine organisms, suggesting that at least part of the deposit came from offshore. Grain sizes within the deposit tend to fine upward and landward, although individual units within the deposit appear massive, or show reverse grading. Sorting becomes better landward, although the most landward sites generally become poorly sorted from the inclusion of soil clasts. These sites commonly show interlayering of sandy units and soil clast units. Deposits from the 2004 tsunami in Sumatra demonstrate the complex nature of the deposits of large tsunamis. Unlike the deposits of smaller tsunamis, internal stratigraphy is complex, and will require some effort to understand. The Sumatra deposits also show the contribution of multiple sediment sources, each of which has its own composition and grain size. Such complexity may allow more accurate modeling of flow depth and flow velocity for paleotsunamis, if an understanding of how tsunami hydraulics affect sedimentation can be established. Copyright ?? The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth, Planets and Space","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"13438832","usgsCitation":"Moore, A., Nishimura, Y., Gelfenbaum, G., Kamataki, T., and Triyono, R., 2006, Sedimentary deposits of the 26 December 2004 tsunami on the northwest coast of Aceh, Indonesia: Earth, Planets and Space, v. 58, no. 2, p. 253-258.","startPage":"253","endPage":"258","numberOfPages":"6","costCenters":[],"links":[{"id":239474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265850,"type":{"id":11,"text":"Document"},"url":"https://www.terrapub.co.jp/journals/EPS/pdf/2006/5802/58020253.pdf"}],"volume":"58","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8a18e4b08c986b317027","contributors":{"authors":[{"text":"Moore, A.","contributorId":29351,"corporation":false,"usgs":true,"family":"Moore","given":"A.","email":"","affiliations":[],"preferred":false,"id":426537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishimura, Y.","contributorId":58442,"corporation":false,"usgs":true,"family":"Nishimura","given":"Y.","email":"","affiliations":[],"preferred":false,"id":426539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gelfenbaum, G.","contributorId":72429,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"G.","email":"","affiliations":[],"preferred":false,"id":426540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamataki, T.","contributorId":32341,"corporation":false,"usgs":true,"family":"Kamataki","given":"T.","email":"","affiliations":[],"preferred":false,"id":426538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Triyono, R.","contributorId":13435,"corporation":false,"usgs":true,"family":"Triyono","given":"R.","email":"","affiliations":[],"preferred":false,"id":426536,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030345,"text":"70030345 - 2006 - A Bayesian random effects discrete-choice model for resource selection: Population-level selection inference","interactions":[],"lastModifiedDate":"2012-03-12T17:21:03","indexId":"70030345","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian random effects discrete-choice model for resource selection: Population-level selection inference","docAbstract":"Modeling the probability of use of land units characterized by discrete and continuous measures, we present a Bayesian random-effects model to assess resource selection. This model provides simultaneous estimation of both individual- and population-level selection. Deviance information criterion (DIC), a Bayesian alternative to AIC that is sample-size specific, is used for model selection. Aerial radiolocation data from 76 adult female caribou (Rangifer tarandus) and calf pairs during 1 year on an Arctic coastal plain calving ground were used to illustrate models and assess population-level selection of landscape attributes, as well as individual heterogeneity of selection. Landscape attributes included elevation, NDVI (a measure of forage greenness), and land cover-type classification. Results from the first of a 2-stage model-selection procedure indicated that there is substantial heterogeneity among cow-calf pairs with respect to selection of the landscape attributes. In the second stage, selection of models with heterogeneity included indicated that at the population-level, NDVI and land cover class were significant attributes for selection of different landscapes by pairs on the calving ground. Population-level selection coefficients indicate that the pairs generally select landscapes with higher levels of NDVI, but the relationship is quadratic. The highest rate of selection occurs at values of NDVI less than the maximum observed. Results for land cover-class selections coefficients indicate that wet sedge, moist sedge, herbaceous tussock tundra, and shrub tussock tundra are selected at approximately the same rate, while alpine and sparsely vegetated landscapes are selected at a lower rate. Furthermore, the variability in selection by individual caribou for moist sedge and sparsely vegetated landscapes is large relative to the variability in selection of other land cover types. The example analysis illustrates that, while sometimes computationally intense, a Bayesian hierarchical discrete-choice model for resource selection can provide managers with 2 components of population-level inference: average population selection and variability of selection. Both components are necessary to make sound management decisions based on animal selection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/0022-541X(2006)70[404:ABREDM]2.0.CO;2","issn":"0022541X","usgsCitation":"Thomas, D., Johnson, D., and Griffith, B., 2006, A Bayesian random effects discrete-choice model for resource selection: Population-level selection inference: Journal of Wildlife Management, v. 70, no. 2, p. 404-412, https://doi.org/10.2193/0022-541X(2006)70[404:ABREDM]2.0.CO;2.","startPage":"404","endPage":"412","numberOfPages":"9","costCenters":[],"links":[{"id":239199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211829,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/0022-541X(2006)70[404:ABREDM]2.0.CO;2"}],"volume":"70","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2c9e4b0c8380cd45c51","contributors":{"authors":[{"text":"Thomas, D.L.","contributorId":51481,"corporation":false,"usgs":true,"family":"Thomas","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":426779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, D.","contributorId":85955,"corporation":false,"usgs":true,"family":"Johnson","given":"D.","email":"","affiliations":[],"preferred":false,"id":426780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffith, B.","contributorId":25905,"corporation":false,"usgs":true,"family":"Griffith","given":"B.","email":"","affiliations":[],"preferred":false,"id":426778,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1008621,"text":"1008621 - 2006 - Evaluating plant invasions from both habitat and species perspectives","interactions":[],"lastModifiedDate":"2024-04-25T15:57:02.270362","indexId":"1008621","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating plant invasions from both habitat and species perspectives","docAbstract":"We present an approach to quantitatively assess nonnative plant invasions at landscape scales from both habitat and species perspectives. Our case study included 34 nonnative species found in 142 plots (0.1 ha) in 14 vegetation types within the Grand Staircase–Escalante National Monument, Utah. A plot invasion index, based on nonnative species richness and cover, showed that only 16 of 142 plots were heavily invaded. A species invasive index, based on frequency, cover, and number of vegetation types invaded, showed that only 7 of 34 plant species were highly invasive. Multiple regressions using habitat characteristics (moisture index, elevation, soil P, native species richness, maximum crust development class, bare ground, and rock) explained 60% of variation in nonnative species richness and 46% of variation in nonnative species cover. Three mesic habitats (aspen, wet meadow, and perennial riparian types) were particularly invaded (31 of 34 nonnative species studied were found in these types). Species-specific logistic regression models for the 7 most invasive species correctly predicted occurrence 89% of the time on average (from 80% for Bromus tectorum, a habitat generalist, to 93% for Tamarix spp., a habitat specialist). Even with such a modest sampling intensity (<0.1% of the landscape), this multiscale sampling scheme was effective at evaluating habitat vulnerability to invasion and the occurrence of the 7 most invasive nonnative species. This approach could be applied in other natural areas to develop strategies to document invasive species and invaded habitats.
","language":"English","publisher":"Monte L. Bean Life Science Museum","doi":"10.3398/1527-0904(2006)66[92:EPIFBH]2.0.CO;2","usgsCitation":"Chong, G., Otsuki, Y., Stohlgren, T., Guenther, D., Evangelista, P., Villa, C., and Waters, M., 2006, Evaluating plant invasions from both habitat and species perspectives: Western North American Naturalist, v. 66, no. 1, p. 92-105, https://doi.org/10.3398/1527-0904(2006)66[92:EPIFBH]2.0.CO;2.","productDescription":"14 p.","startPage":"92","endPage":"105","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":487341,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol66/iss1/8","text":"External Repository"},{"id":428111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Grand Staircase–Escalante National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.91085815429688,\n 37.00035919622158\n ],\n [\n -111.91085815429688,\n 37.327580637137665\n ],\n [\n -111.41372680664061,\n 37.327580637137665\n ],\n [\n -111.41372680664061,\n 37.00035919622158\n ],\n [\n -111.91085815429688,\n 37.00035919622158\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fb10a","contributors":{"authors":[{"text":"Chong, G.W.","contributorId":54153,"corporation":false,"usgs":true,"family":"Chong","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":318269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otsuki, Yuka","contributorId":23107,"corporation":false,"usgs":false,"family":"Otsuki","given":"Yuka","email":"","affiliations":[],"preferred":false,"id":318268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stohlgren, T.J.","contributorId":7217,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":318265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guenther, D.","contributorId":21902,"corporation":false,"usgs":true,"family":"Guenther","given":"D.","email":"","affiliations":[],"preferred":false,"id":318266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evangelista, P.","contributorId":21903,"corporation":false,"usgs":true,"family":"Evangelista","given":"P.","email":"","affiliations":[],"preferred":false,"id":318267,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Villa, C.","contributorId":6407,"corporation":false,"usgs":true,"family":"Villa","given":"C.","email":"","affiliations":[],"preferred":false,"id":318264,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waters, M.A.","contributorId":102032,"corporation":false,"usgs":true,"family":"Waters","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":318270,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70030679,"text":"70030679 - 2006 - Perchlorate in pleistocene and holocene groundwater in North-Central New Mexico","interactions":[],"lastModifiedDate":"2018-10-29T07:33:39","indexId":"70030679","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Perchlorate in pleistocene and holocene groundwater in North-Central New Mexico","docAbstract":"Groundwater from remote parts of the Middle Rio Grande Basin in north-central New Mexico has perchlorate (ClO4-) concentrations of 0.12−1.8 μg/L. Because the water samples are mostly preanthropogenic in age (0−28 000 years) and there are no industrial sources in the study area, a natural source of the ClO4- is likely. Most of the samples have Br-, Cl-, and SO42- concentrations that are similar to those of modern bulk atmospheric deposition with evapotranspiration (ET) factors of about 7−40. Most of the ET values for Pleistocene recharge were nearly twice that for Holocene recharge. The NO3-/Cl- and ClO4-/Cl- ratios are more variable than those of Br-/Cl- or SO42-/Cl-. Samples thought to have recharged under the most arid conditions in the Holocene have relatively high NO3-/Cl- ratios and low δ15N values (+1 per mil (‰)) similar to those of modern bulk atmospheric N deposition. The δ18O values of the NO3- (−4 to 0 ‰) indicate that atmospheric NO3- was not transmitted directly to the groundwater but may have been cycled in the soils before infiltrating. Samples with nearly atmospheric NO3-/Cl- ratios have relatively high ClO4-concentrations (1.0−1.8 μg/L) with a nearly constant ClO4-/Cl- mole ratio of (1.4 ± 0.1) × 10-4, which would be consistent with an average ClO4- concentration of 0.093 ± 0.005 μg/L in bulk atmospheric deposition during the late Holocene in north-central NM. Samples thought to have recharged under wetter conditions have higher δ15N values (+3 to +8 ‰), lower NO3-/Cl- ratios, and lower ClO4-/Cl- ratios than the ones most likely to preserve an atmospheric signal. Processes in the soils that may have depleted atmospherically derived NO3- also may have depleted ClO4- to varying degrees prior to recharge. If these interpretations are correct, then ClO4- concentrations of atmospheric origin as high as 4 μg/L are possible in preanthropogenic groundwater in parts of the Southwest where ET approaches a factor of 40. Higher ClO4- concentrations in uncontaminated groundwater could occur in recharge beneath arid areas where ET is greater than 40, where long-term accumulations of atmospheric salts are leached suddenly from dry soils, or where other (nonatmospheric) natural sources of ClO4- exist.