{"pageNumber":"924","pageRowStart":"23075","pageSize":"25","recordCount":40804,"records":[{"id":70033206,"text":"70033206 - 2008 - Using the FORE-SCE model to project land-cover change in the southeastern United States","interactions":[],"lastModifiedDate":"2017-04-03T14:39:52","indexId":"70033206","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using the FORE-SCE model to project land-cover change in the southeastern United States","docAbstract":"A wide variety of ecological applications require spatially explicit current and projected land-use and land-cover data. The southeastern United States has experienced massive land-use change since European settlement and continues to experience extremely high rates of forest cutting, significant urban development, and changes in agricultural land use. Forest-cover patterns and structure are projected to change dramatically in the southeastern United States in the next 50 years due to population growth and demand for wood products [Wear, D.N., Greis, J.G. (Eds.), 2002. Southern Forest Resource Assessment. General Technical Report SRS-53. U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville, NC, 635 pp]. Along with our climate partners, we are examining the potential effects of southeastern U.S. land-cover change on regional climate. The U.S. Geological Survey (USGS) Land Cover Trends project is analyzing contemporary (1973-2000) land-cover change in the conterminous United States, providing ecoregion-by-ecoregion estimates of the rates of change, descriptive transition matrices, and changes in landscape metrics. The FORecasting SCEnarios of future land-cover (FORE-SCE) model used Land Cover Trends data and theoretical, statistical, and deterministic modeling techniques to project future land-cover change through 2050 for the southeastern United States. Prescriptions for future proportions of land cover for this application were provided by ecoregion-based extrapolations of historical change. Logistic regression was used to develop relationships between suspected drivers of land-cover change and land cover, resulting in the development of probability-of-occurrence surfaces for each unique land-cover type. Forest stand age was initially established with Forest Inventory and Analysis (FIA) data and tracked through model iterations. The spatial allocation procedure placed patches of new land cover on the landscape until the scenario prescriptions were met, using measured Land Cover Trends data to guide patch characteristics and the probability surfaces to guide placement. The approach provides an efficient method for extrapolating historical land-cover trends and is amenable to the incorporation of more detailed and focused studies for the establishment of scenario prescriptions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2008.08.003","issn":"03043","usgsCitation":"Sohl, T., and Sayler, K., 2008, Using the FORE-SCE model to project land-cover change in the southeastern United States: Ecological Modelling, v. 219, no. 1-2, p. 49-65, https://doi.org/10.1016/j.ecolmodel.2008.08.003.","productDescription":"17 p.","startPage":"49","endPage":"65","numberOfPages":"17","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213430,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2008.08.003"}],"volume":"219","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc0aee4b08c986b32a276","contributors":{"authors":[{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":81861,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":439830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":439829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033475,"text":"70033475 - 2008 - Diffuse flow hydrothermal manganese mineralization along the active Mariana and southern Izu-Bonin arc system, western Pacific","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033475","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"Diffuse flow hydrothermal manganese mineralization along the active Mariana and southern Izu-Bonin arc system, western Pacific","docAbstract":"Abundant ferromanganese oxides were collected along 1200 km of the active Izu-Bonin-Mariana arc system. Chemical compositions and mineralogy show that samples were collected from two deposit types: Fe-Mn crusts of mixed hydrogenetic/hydrothermal origin and hydrothermal Mn oxide deposits; this paper addresses only the second type. Mn oxides cement volcaniclastic and biogenic sandstone and breccia layers (Mn sandstone) and form discrete dense stratabound layers along bedding planes and within beds (stratabound Mn). The Mn oxide was deposited within coarse-grained sediments from diffuse flow systems where precipitation occurred below the seafloor. Deposits were exposed at the seabed by faulting, mass wasting, and erosion. Scanning electron microscopy and microprobe analyses indicate the presence of both amorphous and crystalline 10 ?? and 7 ?? manganate minerals, the fundamental chemical difference being high water contents in the amorphous Mn oxides. Alternation of amorphous and crystalline laminae occurs in many samples, which likely resulted from initial rapid precipitation of amorphous Mn oxides from waxing pulses of hydrothermal fluids followed by precipitation of slow forming crystallites during waning stages. The chemical composition is characteristic of a hydrothermal origin including strong fractionation between Fe (mean 0.9 wt %) and Mn (mean 48 wt %) for the stratabound Mn, generally low trace metal contents, and very low rare earth element and platinum group element contents. However, Mo, Cd, Zn, Cu, Ni, and Co occur in high concentrations in some samples and may be good indicator elements for proximity to the heat source or to massive sulfide deposits. For the Mn sandstones, Fe (mean-8.4%) and Mn (12.4%) are not significantly fractionated because of high Fe contents in the volcaniclastic material. However, the proportion of hydrothermal Fe (nondetrital Fe) to total Fe is remarkably constant (49-58%) for all the sample groups, regardless of the degree of Mn mineralization. Factor analyses indicate various mixtures of two dominant components: hydrothermal Mn oxide for the stratabound Mn and detrital aluminosilicate for the Mn-cemented sandstone; and two minor components, hydrothermal Fe oxyhydroxide and biocarbonate/biosilica. Our conceptual model shows that Mn mineralization was produced by hydrothermal convection cells within arc volcanoes and sedimentary prisms that occur along, the flanks and within calderas. The main source of hydrothermal fluid was seawater that penetrated through fractures, faults, and permeable volcanic edifices. The fluids were heated by magma, enriched in metals by leaching of basement rocks and sediments, and mixed with magmatic fluids and gases. Dikes and sills may have been another source of heat that drove small-scale circulation within sedimentary prisms. Copyright 2008 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":"10.1029/2007JB005432","issn":"01480","usgsCitation":"Hein, J., Schulz, M.S., Dunham, R., Stern, R.J., and Bloomer, S., 2008, Diffuse flow hydrothermal manganese mineralization along the active Mariana and southern Izu-Bonin arc system, western Pacific: Journal of Geophysical Research B: Solid Earth, v. 113, no. 8, https://doi.org/10.1029/2007JB005432.","costCenters":[],"links":[{"id":476705,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007jb005432","text":"Publisher Index Page"},{"id":214453,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007JB005432"},{"id":242181,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"8","noUsgsAuthors":false,"publicationDate":"2008-06-25","publicationStatus":"PW","scienceBaseUri":"505a010de4b0c8380cd4fa92","contributors":{"authors":[{"text":"Hein, J.R. 0000-0002-5321-899X","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":61429,"corporation":false,"usgs":true,"family":"Hein","given":"J.R.","affiliations":[],"preferred":false,"id":441021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, M. S.","contributorId":7299,"corporation":false,"usgs":true,"family":"Schulz","given":"M.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":441018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, R.E.","contributorId":8297,"corporation":false,"usgs":true,"family":"Dunham","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":441019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stern, R. J.","contributorId":8616,"corporation":false,"usgs":true,"family":"Stern","given":"R.","middleInitial":"J.","affiliations":[],"preferred":false,"id":441020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bloomer, S.H.","contributorId":82545,"corporation":false,"usgs":true,"family":"Bloomer","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":441022,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033727,"text":"70033727 - 2008 - Sediment organic carbon burial in agriculturally eutrophic impoundments over the last century","interactions":[],"lastModifiedDate":"2018-01-30T19:36:29","indexId":"70033727","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Sediment organic carbon burial in agriculturally eutrophic impoundments over the last century","docAbstract":"We estimated organic carbon (OC) burial over the past century in 40 impoundments in one of the most intensively agricultural regions of the world. The volume of sediment deposited per unit time varied as a function of lake and watershed size, but smaller impoundments had greater deposition and accumulation rates per unit area. Annual water storage losses varied from 0.1-20% and were negatively correlated with impoundment size. Estimated sediment OC content was greatest in lakes with low ratios of watershed to impoundment area. Sediment OC burial rates were higher than those assumed for fertile impoundments by previous studies and were much higher than those measured in natural lakes. OC burial ranged from a high of 17,000 g C m-2 a-1 to a low of 148 g C m-2 a-1 and was significantly greater in small impoundments than large ones. The OC buried in these lakes originates in both autochthonous and allochthonous production. These analyses suggest that OC sequestration in moderate to large impoundments may be double the rate assumed in previous analyses. Extrapolation suggests that they may bury 4 times as much carbon (C) as the world's oceans. The world's farm ponds alone may bury more OC than the oceans and 33% as much as the world's rivers deliver to the sea. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Biogeochemical Cycles","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2006GB002854","issn":"08866236","usgsCitation":"Downing, J.A., Cole, J.J., Middelburg, J.J., Striegl, R.G., Duarte, C., Kortelainen, P., Prairie, Y., and Laube, K., 2008, Sediment organic carbon burial in agriculturally eutrophic impoundments over the last century: Global Biogeochemical Cycles, v. 22, no. 1, https://doi.org/10.1029/2006GB002854.","costCenters":[],"links":[{"id":476915,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006gb002854","text":"Publisher Index Page"},{"id":241868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214174,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2006GB002854"}],"volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-15","publicationStatus":"PW","scienceBaseUri":"505b89a1e4b08c986b316e48","contributors":{"authors":[{"text":"Downing, J. A.","contributorId":100466,"corporation":false,"usgs":true,"family":"Downing","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":442173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, J. J.","contributorId":25746,"corporation":false,"usgs":false,"family":"Cole","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":442168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middelburg, J. J.","contributorId":105417,"corporation":false,"usgs":true,"family":"Middelburg","given":"J.","middleInitial":"J.","affiliations":[],"preferred":false,"id":442174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":442171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duarte, C.M.","contributorId":64017,"corporation":false,"usgs":true,"family":"Duarte","given":"C.M.","affiliations":[],"preferred":false,"id":442170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kortelainen, Pirkko","contributorId":43130,"corporation":false,"usgs":true,"family":"Kortelainen","given":"Pirkko","email":"","affiliations":[],"preferred":false,"id":442169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prairie, Y.T.","contributorId":72191,"corporation":false,"usgs":true,"family":"Prairie","given":"Y.T.","email":"","affiliations":[],"preferred":false,"id":442172,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laube, K.A.","contributorId":18986,"corporation":false,"usgs":true,"family":"Laube","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":442167,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70032531,"text":"70032531 - 2008 - Attribution of declining Western U.S. Snowpack to human effects","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032531","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Attribution of declining Western U.S. Snowpack to human effects","docAbstract":"Observations show snowpack has declined across much of the western United States over the period 1950-99. This reduction has important social and economic implications, as water retained in the snowpack from winter storms forms an important part of the hydrological cycle and water supply in the region. A formal model-based detection and attribution (D-A) study of these reductions is performed. The detection variable is the ratio of 1 April snow water equivalent (SWE) to water-year-to-date precipitation (P), chosen to reduce the effect of P variability on the results. Estimates of natural internal climate variability are obtained from 1600 years of two control simulations performed with fully coupled ocean-atmosphere climate models. Estimates of the SWE/P response to anthropogenic greenhouse gases, ozone, and some aerosols are taken from multiple-member ensembles of perturbation experiments run with two models. The D-A shows the observations and anthropogenically forced models have greater SWE/P reductions than can be explained by natural internal climate variability alone. Model-estimated effects of changes in solar and volcanic forcing likewise do not explain the SWE/P reductions. The mean model estimate is that about half of the SWE/P reductions observed in the west from 1950 to 1999 are the result of climate changes forced by anthropogenic greenhouse gases, ozone, and aerosols. ?? 2008 American Meteorological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Climate","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2008JCLI2405.1","issn":"08948","usgsCitation":"Pierce, D., Barnett, T., Hidalgo, H., Das, T., Bonfils, C., Santer, B., Bala, G., Dettinger, M.D., Cayan, D., Mirin, A., Wood, A., and Nozawa, T., 2008, Attribution of declining Western U.S. Snowpack to human effects: Journal of Climate, v. 21, no. 23, p. 6425-6444, https://doi.org/10.1175/2008JCLI2405.1.","startPage":"6425","endPage":"6444","numberOfPages":"20","costCenters":[],"links":[{"id":476729,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3812982","text":"External Repository"},{"id":213944,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2008JCLI2405.1"},{"id":241620,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"23","noUsgsAuthors":false,"publicationDate":"2008-12-01","publicationStatus":"PW","scienceBaseUri":"5059eed7e4b0c8380cd49fd8","contributors":{"authors":[{"text":"Pierce, D.W.","contributorId":23342,"corporation":false,"usgs":true,"family":"Pierce","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":436651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnett, T.P.","contributorId":54763,"corporation":false,"usgs":true,"family":"Barnett","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":436655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hidalgo, H.G.","contributorId":81229,"corporation":false,"usgs":true,"family":"Hidalgo","given":"H.G.","email":"","affiliations":[],"preferred":false,"id":436656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, T.","contributorId":99383,"corporation":false,"usgs":true,"family":"Das","given":"T.","email":"","affiliations":[],"preferred":false,"id":436661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonfils, Celine","contributorId":51542,"corporation":false,"usgs":true,"family":"Bonfils","given":"Celine","email":"","affiliations":[],"preferred":false,"id":436654,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santer, B.D.","contributorId":95702,"corporation":false,"usgs":true,"family":"Santer","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":436660,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bala, G.","contributorId":86983,"corporation":false,"usgs":true,"family":"Bala","given":"G.","email":"","affiliations":[],"preferred":false,"id":436658,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":436659,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":436652,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mirin, A.","contributorId":104294,"corporation":false,"usgs":true,"family":"Mirin","given":"A.","affiliations":[],"preferred":false,"id":436662,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wood, A.W.","contributorId":43542,"corporation":false,"usgs":true,"family":"Wood","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":436653,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nozawa, T.","contributorId":83345,"corporation":false,"usgs":true,"family":"Nozawa","given":"T.","email":"","affiliations":[],"preferred":false,"id":436657,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70033294,"text":"70033294 - 2008 - Modeling soil moisture processes and recharge under a melting snowpack","interactions":[],"lastModifiedDate":"2018-09-18T09:12:16","indexId":"70033294","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling soil moisture processes and recharge under a melting snowpack","docAbstract":"Recharge into granitic bedrock under a melting snowpack is being investigated as part of a study designed to understand hydrologic processes involving snow at Yosemite National Park in the Sierra Nevada Mountains of California. Snowpack measurements, accompanied by water content and matric potential measurements of the soil under the snowpack, allowed for estimates of infiltration into the soil during snowmelt and percolation into the bedrock. During portions of the snowmelt period, infiltration rates into the soil exceeded the permeability of the bedrock and caused ponding to be sustained at the soil-bedrock interface. During a 5-d period with little measured snowmelt, drainage of the ponded water into the underlying fractured granitic bedrock was estimated to be 1.6 cm d?1, which is used as an estimate of bedrock permeability. The numerical simulator TOUGH2 was used to reproduce the field data and evaluate the potential for vertical flow into the fractured bedrock or lateral flow at the bedrock-soil interface. During most of the snowmelt season, the snowmelt rates were near or below the bedrock permeability. The field data and model results support the notion that snowmelt on the shallow soil overlying low permeability bedrock becomes direct infiltration unless the snowmelt rate greatly exceeds the bedrock permeability. Late in the season, melt rates are double that of the bedrock permeability (although only for a few days) and may tend to move laterally at the soil-bedrock interface downgradient and contribute directly to streamflow. ?? Soil Science Society of America.","largerWorkTitle":"Vadose Zone Journal","language":"English","doi":"10.2136/vzj2006.0135","issn":"15391663","usgsCitation":"Flint, A.L., Flint, L.E., and Dettinger, M.D., 2008, Modeling soil moisture processes and recharge under a melting snowpack, <i>in</i> Vadose Zone Journal, v. 7, no. 1, p. 350-357, https://doi.org/10.2136/vzj2006.0135.","startPage":"350","endPage":"357","numberOfPages":"8","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":240796,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213193,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/vzj2006.0135"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c2be4b0c8380cd6fab8","contributors":{"authors":[{"text":"Flint, A. L.","contributorId":102453,"corporation":false,"usgs":true,"family":"Flint","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":440205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, L. E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":38180,"corporation":false,"usgs":true,"family":"Flint","given":"L.","middleInitial":"E.","affiliations":[],"preferred":false,"id":440203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":440204,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031917,"text":"70031917 - 2008 - Human-induced changes in the hydrology of the Western United States","interactions":[],"lastModifiedDate":"2018-10-22T09:37:14","indexId":"70031917","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":"Human-induced changes in the hydrology of the Western United States","docAbstract":"Observations have shown that the hydrological cycle of the western United States changed significantly over the last half of the 20th century. We present a regional, multivariable climate change detection and attribution study, using a high-resolution hydrologic model forced by global climate models, focusing on the changes that have already affected this primarily arid region with a large and growing population. The results show that up to 60% of the climate-related trends of river flow, winter air temperature, and snow pack between 1950 and 1999 are human-induced. These results are robust to perturbation of study variates and methods. They portend, in conjunction with previous work, a coming crisis in water supply for the western United States.","language":"English","doi":"10.1126/science.1152538","issn":"00368075","usgsCitation":"Barnett, T., Pierce, D., Hidalgo, H., Bonfils, C., Santer, B., Das, T., Bala, G., Wood, A., Nozawa, T., Mirin, A., Cayan, D., and Dettinger, M.D., 2008, Human-induced changes in the hydrology of the Western United States: Science, v. 319, no. 5866, p. 1080-1083, https://doi.org/10.1126/science.1152538.","productDescription":"4 p.","startPage":"1080","endPage":"1083","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476788,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://science.sciencemag.org/content/319/5866/1080.long","text":"External Repository"},{"id":242387,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214644,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1152538"}],"volume":"319","issue":"5866","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3286e4b0c8380cd5e894","contributors":{"authors":[{"text":"Barnett, T.P.","contributorId":54763,"corporation":false,"usgs":true,"family":"Barnett","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":433718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, D.W.","contributorId":23342,"corporation":false,"usgs":true,"family":"Pierce","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":433714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hidalgo, H.G.","contributorId":81229,"corporation":false,"usgs":true,"family":"Hidalgo","given":"H.G.","email":"","affiliations":[],"preferred":false,"id":433719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonfils, Celine","contributorId":51542,"corporation":false,"usgs":true,"family":"Bonfils","given":"Celine","email":"","affiliations":[],"preferred":false,"id":433717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Santer, B.D.","contributorId":95702,"corporation":false,"usgs":true,"family":"Santer","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":433723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Das, T.","contributorId":99383,"corporation":false,"usgs":true,"family":"Das","given":"T.","email":"","affiliations":[],"preferred":false,"id":433725,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bala, G.","contributorId":86983,"corporation":false,"usgs":true,"family":"Bala","given":"G.","email":"","affiliations":[],"preferred":false,"id":433721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wood, A.W.","contributorId":43542,"corporation":false,"usgs":true,"family":"Wood","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":433716,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nozawa, T.","contributorId":83345,"corporation":false,"usgs":true,"family":"Nozawa","given":"T.","email":"","affiliations":[],"preferred":false,"id":433720,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mirin, A.A.","contributorId":96550,"corporation":false,"usgs":true,"family":"Mirin","given":"A.A.","email":"","affiliations":[],"preferred":false,"id":433724,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":433715,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":433722,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70032626,"text":"70032626 - 2008 - Diagnosis of an intense atmospheric river impacting the pacific northwest: Storm summary and offshore vertical structure observed with COSMIC satellite retrievals","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032626","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2786,"text":"Monthly Weather Review","active":true,"publicationSubtype":{"id":10}},"title":"Diagnosis of an intense atmospheric river impacting the pacific northwest: Storm summary and offshore vertical structure observed with COSMIC satellite retrievals","docAbstract":"This study uses the new satellite-based Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) mission to retrieve tropospheric profiles of temperature and moisture over the data-sparse eastern Pacific Ocean. The COSMIC retrievals, which employ a global positioning system radio occultation technique combined with \"first-guess\" information from numerical weather prediction model analyses, are evaluated through the diagnosis of an intense atmospheric river (AR; i.e., a narrow plume of strong water vapor flux) that devastated the Pacific Northwest with flooding rains in early November 2006. A detailed analysis of this AR is presented first using conventional datasets and highlights the fact that ARs are critical contributors to West Coast extreme precipitation and flooding events. Then, the COSMIC evaluation is provided. Offshore composite COSMIC soundings north of, within, and south of this AR exhibited vertical structures that are meteorologically consistent with satellite imagery and global reanalysis fields of this case and with earlier composite dropsonde results from other landfalling ARs. Also, a curtain of 12 offshore COSMIC soundings through the AR yielded cross-sectional thermodynamic and moisture structures that were similarly consistent, including details comparable to earlier aircraft-based dropsonde analyses. The results show that the new COSMIC retrievals, which are global (currently yielding ???2000 soundings per day), provide high-resolution vertical-profile information beyond that found in the numerical model first-guess fields and can help monitor key lower-tropospheric mesoscale phenomena in data-sparse regions. Hence, COSMIC will likely support a wide array of applications, from physical process studies to data assimilation, numerical weather prediction, and climate research. ?? 2008 American Meteorological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Monthly Weather Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2008MWR2550.1","issn":"00270","usgsCitation":"Neiman, P., Ralph, F., Wick, G., Kuo, Y., Wee, T., Ma, Z., Taylor, G., and Dettinger, M.D., 2008, Diagnosis of an intense atmospheric river impacting the pacific northwest: Storm summary and offshore vertical structure observed with COSMIC satellite retrievals: Monthly Weather Review, v. 136, no. 11, p. 4398-4420, https://doi.org/10.1175/2008MWR2550.1.","startPage":"4398","endPage":"4420","numberOfPages":"23","costCenters":[],"links":[{"id":213825,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2008MWR2550.1"},{"id":241486,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"136","issue":"11","noUsgsAuthors":false,"publicationDate":"2008-11-01","publicationStatus":"PW","scienceBaseUri":"505a009ce4b0c8380cd4f80a","contributors":{"authors":[{"text":"Neiman, P.J.","contributorId":14991,"corporation":false,"usgs":true,"family":"Neiman","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":437108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralph, F.M.","contributorId":39174,"corporation":false,"usgs":true,"family":"Ralph","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":437111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wick, G.A.","contributorId":22958,"corporation":false,"usgs":true,"family":"Wick","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":437109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuo, Y.-H.","contributorId":104716,"corporation":false,"usgs":true,"family":"Kuo","given":"Y.-H.","email":"","affiliations":[],"preferred":false,"id":437115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wee, T.-K.","contributorId":49989,"corporation":false,"usgs":true,"family":"Wee","given":"T.-K.","email":"","affiliations":[],"preferred":false,"id":437112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ma, Z.","contributorId":25288,"corporation":false,"usgs":true,"family":"Ma","given":"Z.","email":"","affiliations":[],"preferred":false,"id":437110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, G.H.","contributorId":85158,"corporation":false,"usgs":true,"family":"Taylor","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":437113,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":437114,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70157118,"text":"70157118 - 2008 - Track of the Yellowstone hotspot: Young and ongoing geologic processes from the Snake River Plain to the Yellowstone Plateau and Tetons","interactions":[],"lastModifiedDate":"2022-11-07T17:10:09.189744","indexId":"70157118","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Track of the Yellowstone hotspot: Young and ongoing geologic processes from the Snake River Plain to the Yellowstone Plateau and Tetons","docAbstract":"<p><span>This field trip highlights various stages in the evolution of the Snake River Plain&ndash;Yellowstone Plateau bimodal volcanic province, and associated faulting and uplift, also known as the track of the Yellowstone hotspot. The 16 Ma Yellowstone hotspot track is one of the few places on Earth where time-transgressive processes on continental crust can be observed in the volcanic and tectonic (faulting and uplift) record at the rate and direction predicted by plate motion. Recent interest in young and possible renewed volcanism at Yellowstone along with new discoveries and synthesis of previous studies, i.e., tomographic, deformation, bathymetric, and seismic surveys, provide a framework of evidence of plate motion over a mantle plume. This 3-day trip is organized to present an overview into volcanism and tectonism in this dynamically active region. Field trip stops will include the young basaltic Craters of the Moon, exposures of 12&ndash;4 Ma rhyolites and edges of their associated collapsed calderas on the Snake River Plain, and exposures of faults which show an age progression similar to the volcanic fields. An essential stop is Yellowstone National Park, where the last major caldera-forming event occurred 640,000 years ago and now is host to the world's largest concentration of hydrothermal features (&gt;10,000 hot springs and geysers). This trip presents a quick, intensive overview into volcanism and tectonism in this dynamically active region. Field stops are directly linked to conceptual models related to hotspot passage through this volcano-tectonic province. Features that may reflect a tilted thermal mantle plume suggested in recent tomographic studies will be examined. The drive home will pass through Grand Teton National Park, where the Teton Range is currently rising in response to the passage of the North American plate over the Yellowstone hotspot.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Roaming the Rocky Mountains and environs: Geological field trips","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2008.fld010(08)​","usgsCitation":"Morgan, L.A., Pierce, K.L., and Shanks, P., 2008, Track of the Yellowstone hotspot: Young and ongoing geologic processes from the Snake River Plain to the Yellowstone Plateau and Tetons, chap. <i>of</i> Roaming the Rocky Mountains and environs: Geological field trips, p. 139-173, https://doi.org/10.1130/2008.fld010(08)​.","productDescription":"35 p.","startPage":"139","endPage":"173","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central 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]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb70ee4b058f706e53f48","contributors":{"editors":[{"text":"Raynolds, Robert G.H.","contributorId":70814,"corporation":false,"usgs":true,"family":"Raynolds","given":"Robert","email":"","middleInitial":"G.H.","affiliations":[],"preferred":false,"id":571726,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Morgan, Lisa A.","contributorId":66300,"corporation":false,"usgs":true,"family":"Morgan","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":571723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Kenneth L. kpierce@usgs.gov","contributorId":1609,"corporation":false,"usgs":true,"family":"Pierce","given":"Kenneth","email":"kpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":571724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanks, Pat","contributorId":60514,"corporation":false,"usgs":true,"family":"Shanks","given":"Pat","email":"","affiliations":[],"preferred":false,"id":571725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033764,"text":"70033764 - 2008 - Buruli ulcer disease prevalence in Benin, West Africa: Associations with land use/cover and the identification of disease clusters","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033764","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2050,"text":"International Journal of Health Geographics","active":true,"publicationSubtype":{"id":10}},"title":"Buruli ulcer disease prevalence in Benin, West Africa: Associations with land use/cover and the identification of disease clusters","docAbstract":"Background: Buruli ulcer (BU) disease, caused by infection with the environmental mycobacterium M. ulcerans, is an emerging infectious disease in many tropical and sub-tropical countries. Although vectors and modes of transmission remain unknown, it is hypothesized that the transmission of BU disease is associated with human activities in or around aquatic environments, and that characteristics of the landscape (e.g., land use/cover) play a role in mediating BU disease. Several studies performed at relatively small spatial scales (e.g., within a single village or region of a country) support these hypotheses; however, if BU disease is associated with land use/cover characteristics, either through spatial constraints on vector-host dynamics or by mediating human activities, then large-scale (i.e., country-wide) associations should also emerge. The objectives of this study were to (1) investigate associations between BU disease prevalence in villages in Benin, West Africa and surrounding land use/cover patterns and other map-based characteristics, and (2) identify areas with greater and lower than expected prevalence rates (i.e., disease clusters) to assist with the development of prevention and control programs. Results: Our landscape-based models identified low elevation, rural villages surrounded by forest land cover, and located in drainage basins with variable wetness patterns as being associated with higher BU disease prevalence rates. We also identified five spatial disease clusters. Three of the five clusters contained villages with greater than expected prevalence rates and two clusters contained villages with lower than expected prevalence rates. Those villages with greater than expected BU disease prevalence rates spanned a fairly narrow region of south-central Benin. Conclusion: Our analyses suggest that interactions between natural land cover and human alterations to the landscape likely play a role in the dynamics of BU disease. For example, urbanization, potentially by providing access to protected water sources, may reduce the likelihood of becoming infected with BU disease. Villages located at low elevations may have higher BU disease prevalence rates due to their close spatial proximity to high risk environments. In addition, forest land cover and drainage basins with variable wetness patterns may be important for providing suitable growth conditions for M. ulcerans, influencing the distribution and abundance of vectors, or mediating vector-human interactions. The identification of disease clusters in this study provides direction for future research aimed at better understanding these and other environmental and social determinants involved in BU disease outbreaks. ?? 2008 Wagner et al; licensee BioMed Central Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Health Geographics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1186/1476-072X-7-25","issn":"1476072X","usgsCitation":"Wagner, T., Benbow, M., Brenden, T., Qi, J., and Johnson, R.C., 2008, Buruli ulcer disease prevalence in Benin, West Africa: Associations with land use/cover and the identification of disease clusters: International Journal of Health Geographics, v. 7, https://doi.org/10.1186/1476-072X-7-25.","costCenters":[],"links":[{"id":487719,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1476-072x-7-25","text":"Publisher Index Page"},{"id":214204,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1476-072X-7-25"},{"id":241902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f2bbe4b0c8380cd4b31d","contributors":{"authors":[{"text":"Wagner, T.","contributorId":7488,"corporation":false,"usgs":true,"family":"Wagner","given":"T.","email":"","affiliations":[],"preferred":false,"id":442346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benbow, M.E.","contributorId":13586,"corporation":false,"usgs":true,"family":"Benbow","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":442347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, T.O.","contributorId":22978,"corporation":false,"usgs":true,"family":"Brenden","given":"T.O.","affiliations":[],"preferred":false,"id":442348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, J.","contributorId":48718,"corporation":false,"usgs":true,"family":"Qi","given":"J.","email":"","affiliations":[],"preferred":false,"id":442349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, R. C. 0000-0002-6197-5165","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":101621,"corporation":false,"usgs":true,"family":"Johnson","given":"R.","middleInitial":"C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":442350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70161755,"text":"70161755 - 2008 - Fish Rhabdoviruses","interactions":[],"lastModifiedDate":"2016-01-05T15:58:55","indexId":"70161755","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fish Rhabdoviruses","docAbstract":"<p><span>Many important viral pathogens of fish are members of the family&nbsp;</span><i>Rhabdoviridae</i><span>. The viruses in this large group cause significant losses in populations of wild fish as well as among fish reared in aquaculture. Fish rhabdoviruses often have a wide host and geographic range, and infect aquatic animals in both freshwater and seawater. The fish rhabdoviruses comprise a diverse collection of isolates that can be placed in one of two quite different groups: isolates that are members of the established genus</span><i>Novirhabdovirus</i><span>, and those that are most similar to members of the genus&nbsp;</span><i>Vesiculovirus</i><span>. Because the diseases caused by fish rhabdoviruses are important to aquaculture, diagnostic methods for their detection and identification are well established. In addition to regulations designed to reduce the spread of fish viruses, a significant body of research has addressed methods for the control or prevention of diseases caused by fish rhabdoviruses, including vaccination. The number of reported fish rhabdoviruses continues to grow as a result of the expansion of aquaculture, the increase in global trade, the development of improved diagnostic methods, and heightened surveillance activities. Fish rhabdoviruses serve as useful components of model systems to study vertebrate virus disease, epidemiology, and immunology.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Virology","language":"English","publisher":"Academic Press","doi":"10.1016/B978-012374410-4.00493-3","usgsCitation":"Kurath, G., and Winton, J., 2008, Fish Rhabdoviruses, chap. <i>of</i> Encyclopedia of Virology, p. 221-227, https://doi.org/10.1016/B978-012374410-4.00493-3.","productDescription":"7 p.","startPage":"221","endPage":"227","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":313850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568cf741e4b0e7a44bc0f158","contributors":{"authors":[{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":100522,"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":587672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, J.","contributorId":55627,"corporation":false,"usgs":true,"family":"Winton","given":"J.","email":"","affiliations":[],"preferred":false,"id":587673,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176439,"text":"70176439 - 2008 - Development of a model to assess ground-water availability in California's Central Valley","interactions":[],"lastModifiedDate":"2016-09-14T11:46:43","indexId":"70176439","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Development of a model to assess ground-water availability in California's Central Valley","docAbstract":"<p>No abstract available.<br></p>","language":"English","publisher":"American Water Resources Association","usgsCitation":"Faunt, C., Hanson, R.T., and Belitz, K., 2008, Development of a model to assess ground-water availability in California's Central Valley: Water Resources Impact, v. 10, no. 1, p. 27-30.","productDescription":"4 p.","startPage":"27","endPage":"30","ipdsId":"IP-003623","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328636,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"10","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57da74b0e4b090824ffb7e33","contributors":{"authors":[{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648764,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177123,"text":"70177123 - 2008 - Modeling the effects of fire severity and spatial complexity on Small Mammals in Yosemite National Park, California","interactions":[],"lastModifiedDate":"2016-10-19T13:07:07","indexId":"70177123","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of fire severity and spatial complexity on Small Mammals in Yosemite National Park, California","docAbstract":"<p><span>We evaluated the impact of fire severity and related spatial and vegetative parameters on small mammal populations in 2 yr- to 15 yr-old burns in Yosemite National Park, California, USA. We also developed habitat models that would predict small mammal responses to fires of differing severity. We hypothesized that fire severity would influence the abundances of small mammals through changes in vegetation composition, structure, and spatial habitat complexity. Deer mouse (</span><i>Peromyscus maniculatus</i><span>) abundance responded negatively to fire severity, and brush mouse (</span><i>P. boylii</i><span>) abundance increased with increasing oak tree (</span><i>Quercus spp</i><span>.) cover. Chipmunk (</span><i>Neotamias spp</i><span>.) abundance was best predicted through a combination of a negative response to oak tree cover and a positive response to spatial habitat complexity. California ground squirrel (</span><i>Spermophilus beecheyi</i><span>) abundance increased with increasing spatial habitat complexity. Our results suggest that fire severity, with subsequent changes in vegetation structure and habitat spatial complexity, can influence small mammal abundance patterns.</span></p>","language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.0402083","usgsCitation":"Roberts, S.L., Van Wagtendonk, J.W., Miles, A.K., Kelt, D.A., and Lutz, J.A., 2008, Modeling the effects of fire severity and spatial complexity on Small Mammals in Yosemite National Park, California: Fire Ecology, v. 4, no. 2, p. 83-104, https://doi.org/10.4996/fireecology.0402083.","productDescription":"12 p.","startPage":"83","endPage":"104","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":476782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.0402083","text":"Publisher Index Page"},{"id":329745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-12-01","publicationStatus":"PW","scienceBaseUri":"58088689e4b0f497e78e24e5","contributors":{"authors":[{"text":"Roberts, Susan L.","contributorId":85312,"corporation":false,"usgs":true,"family":"Roberts","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":651373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":651374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":651375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelt, Douglas A.","contributorId":97232,"corporation":false,"usgs":true,"family":"Kelt","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":651376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lutz, James A.","contributorId":139178,"corporation":false,"usgs":false,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":651377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176441,"text":"70176441 - 2008 - Application of MODFLOW’s farm process to California’s Central Valley","interactions":[],"lastModifiedDate":"2017-04-19T13:34:12","indexId":"70176441","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Application of MODFLOW’s farm process to California’s Central Valley","docAbstract":"Historically, California’s Central Valley has been one of the most productive agricultural regions in the world. The Central Valley also is rapidly becoming an important area for California’s expanding urban population. During 1980–2007, the population nearly doubled in the Central Valley, increasing the competition for water. Because of the importance of ground water in the Central Valley, the U.S. Geological Survey (USGS) Ground-Water Resources Program is evaluating ground-water conditions in the valley on the basis of historical and anticipated water use. This study updates the USGS Central Valley Regional Aquifer System and Analysis (CVRASA) model that was originally? calibrated to observed conditions for the period 1961-77. The model developed for this study utilizes MODFLOW-2000, and was calibrated to observed conditions for the period 1961-2003. Key updates include characterization of the aquifer system using a detailed textural analysis of more than 8,500 drillers’ logs; use of the MODFLOW subsidence package (SUB) to simulate aquifer-system compaction; and, most importantly, use of the newly developed MODFLOW Farm Process (FMP) for simulating irrigation and other\nlandscape processes. \n\nThe FMP provides coupled simulation of the ground-water and surface-water components of the hydrologic cycle for irrigated and non-irrigated areas. A dynamic allocation of ground-water recharge and ground-water pumping is simulated on the basis of residual crop-water demand after surface-water deliveries and root uptake from shallow ground water. The FMP links with the Streamflow Routing Package SFR1) to facilitate the simulated conveyance of surface-water deliveries. Ground-water Pumpage through both single-aquifer and multi-node wells, irrigation return flow, and variable irrigation efficiencies also are simulated by the FMP. \n\nThe simulated deliveries and ground-water pumpage in the updated model reflect climatic differences, differences among defined water-balance regions, and changes in the waterdelivery system, during the 1961–2003 simulation period. The model is designed to accept forecasts from Global Climate Models (GCMs) to simulate the potential effects on surface-water delivery, ground-water pumpage, and ground-water storage in response to climate change. The model provides a detailed transient analysis of changes in ground-water availability in relation to climatic variability, urbanization, and changes in irrigated agriculture.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"California Central Valley Groundwater Modeling Workshop, Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"California Central Valley Groundwater Modeling Workshop","conferenceDate":"July 10-11, 2008","conferenceLocation":"Berkeley, CA","language":"English","usgsCitation":"Faunt, C., Hanson, R.T., Schmid, W., and Belitz, K., 2008, Application of MODFLOW’s farm process to California’s Central Valley, <i>in</i> California Central Valley Groundwater Modeling Workshop, Proceedings, Berkeley, CA, July 10-11, 2008, p. 78-80.","productDescription":"3 p.","startPage":"78","endPage":"80","ipdsId":"IP-005314","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":339973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877c3e4b0b7ea54521c48","contributors":{"authors":[{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":648773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":648771,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":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},{"id":518,"text":"Oregon Water Science Center","active":true,"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":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","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":70176273,"text":"70176273 - 2008 - Vision of a cyberinfrastructure for nonnative, invasive species management","interactions":[],"lastModifiedDate":"2018-10-11T15:57:23","indexId":"70176273","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Vision of a cyberinfrastructure for nonnative, invasive species management","docAbstract":"<p><span>Although the quantity of data on the location, status, and management of invasive species is ever increasing, invasive species data sets are often difficult to obtain and integrate. A cyberinfrastructure for such information could make these data available for Internet users. The data can be used to create regional watch lists, to send e-mail alerts when a new species enters a region, to construct models of species' current and future distributions, and to inform management. Although the exchange of environmental data over the Internet in the form of raster data is maturing, and the exchange of species occurrence data is developing quickly, there is room for improvement. In this article, we present a vision for a comprehensive invasive species cyberinfrastructure that is capable of accessing data effectively, creating models of invasive species spread, and distributing this information.</span></p>","language":"English","publisher":"Oxford Journals","doi":"10.1641/B580312","usgsCitation":"Graham, J., Simpson, A., Crall, A.W., Jarnevich, C.S., Newman, G., and Stohlgren, T.J., 2008, Vision of a cyberinfrastructure for nonnative, invasive species management: BioScience, v. 58, no. 3, p. 263-268, https://doi.org/10.1641/B580312.","productDescription":"6 p.","startPage":"263","endPage":"268","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":476833,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1641/b580312","text":"Publisher Index Page"},{"id":328288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cfe8c0e4b04836416a0e5e","contributors":{"authors":[{"text":"Graham, Jim","contributorId":37608,"corporation":false,"usgs":true,"family":"Graham","given":"Jim","email":"","affiliations":[],"preferred":false,"id":748324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simpson, Annie 0000-0001-8338-5134 asimpson@usgs.gov","orcid":"https://orcid.org/0000-0001-8338-5134","contributorId":127,"corporation":false,"usgs":true,"family":"Simpson","given":"Annie","email":"asimpson@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":748325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crall, Alycia W.","contributorId":60123,"corporation":false,"usgs":true,"family":"Crall","given":"Alycia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":748326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":748327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Greg","contributorId":22636,"corporation":false,"usgs":true,"family":"Newman","given":"Greg","affiliations":[],"preferred":false,"id":748328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":748329,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70142610,"text":"70142610 - 2008 - A linear geospatial streamflow modeling system for data sparse environments","interactions":[],"lastModifiedDate":"2017-01-18T13:54:11","indexId":"70142610","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3876,"text":"International Journal of River Basin Management","active":true,"publicationSubtype":{"id":10}},"title":"A linear geospatial streamflow modeling system for data sparse environments","docAbstract":"<p><span>In many river basins around the world, inaccessibility of flow data is a major obstacle to water resource studies and operational monitoring. This paper describes a geospatial streamflow modeling system which is parameterized with global terrain, soils and land cover data and run operationally with satellite‐derived precipitation and evapotranspiration datasets. Simple linear methods transfer water through the subsurface, overland and river flow phases, and the resulting flows are expressed in terms of standard deviations from mean annual flow. In sample applications, the modeling system was used to simulate flow variations in the Congo, Niger, Nile, Zambezi, Orange and Lake Chad basins between 1998 and 2005, and the resulting flows were compared with mean monthly values from the open‐access Global River Discharge Database. While the uncalibrated model cannot predict the absolute magnitude of flow, it can quantify flow anomalies in terms of relative departures from mean flow. Most of the severe flood events identified in the flow anomalies were independently verified by the Dartmouth Flood Observatory (DFO) and the Emergency Disaster Database (EM‐DAT). Despite its limitations, the modeling system is valuable for rapid characterization of the relative magnitude of flood hazards and seasonal flow changes in data sparse settings.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15715124.2008.9635351","usgsCitation":"Asante, K.O., Arlan, G.A., Pervez, M., and Rowland, J., 2008, A linear geospatial streamflow modeling system for data sparse environments: International Journal of River Basin Management, v. 6, no. 3, p. 233-241, https://doi.org/10.1080/15715124.2008.9635351.","productDescription":"9 p.","startPage":"233","endPage":"241","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Congo, Niger, Nile, Zambezi, Orange, Lake Chad basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -12.65625,\n              -31.653381399663985\n            ],\n            [\n              -12.65625,\n              31.203404950917395\n            ],\n            [\n              37.96875,\n              31.203404950917395\n            ],\n            [\n              37.96875,\n              -31.653381399663985\n            ],\n            [\n              -12.65625,\n              -31.653381399663985\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550bf328e4b02e76d759cdd6","contributors":{"authors":[{"text":"Asante, Kwabena O. 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":81578,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":542011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlan, Guleid A.","contributorId":139603,"corporation":false,"usgs":false,"family":"Arlan","given":"Guleid","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":542012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":542013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":542014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217330,"text":"70217330 - 2008 - Persistent earthquake clusters and gaps from slip on irregular faults","interactions":[],"lastModifiedDate":"2021-01-15T21:22:13.624527","indexId":"70217330","displayToPublicDate":"2007-12-09T15:17:09","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Persistent earthquake clusters and gaps from slip on irregular faults","docAbstract":"<p><span>Earthquake-producing fault systems like the San Andreas fault in California show self-similar structural variation</span><sup><a id=\"ref-link-section-d71288e263\" title=\"Kagan, Y. Y. &amp; Knopoff, L. Spatial distribution of earthquakes: The two-point correlation function. Geophys. J. R. Astron. Soc. 62, 303–320 (1980).\" href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR1\">1</a></sup><span>; earthquakes cluster in space, leaving aseismic gaps between clusters. Whether gaps represent overdue earthquakes or signify diminished risk is a question with which seismic-hazard forecasters wrestle</span><sup><a id=\"ref-link-section-d71288e267\" title=\"Kagan, Y. Y. &amp; Knopoff, L. Spatial distribution of earthquakes: The two-point correlation function. Geophys. J. R. Astron. Soc. 62, 303–320 (1980).\" href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR1\">1</a>,<a id=\"ref-link-section-d71288e270\" title=\"McCann, W. R., Nishenko, S. P., Sykes, L. R. &amp; Krause, J. Seismic gaps and plate tectonics: Seismic potential for major boundaries. Pure Appl. Geophys. 117, 1082–1147 (1979).\" href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 2\" data-mce-href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR2\">2</a>,<a id=\"ref-link-section-d71288e273\" title=\"Nishenko, S. P. Circum-Pacific seismic potential—1989–1999. Pure Appl. Geophys. 135, 169–259 (1991).\" href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\" data-mce-href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR3\">3</a>,<a id=\"ref-link-section-d71288e276\" title=\"Kagan, Y. Y. &amp; Jackson, D. D. Seismic gap hypothesis: Ten years after. J. Geophys. Res. 96, 21419–21429 (1991).\" href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR4\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 4\" data-mce-href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR4\">4</a>,<a id=\"ref-link-section-d71288e279\" title=\"Rong, Y., Jackson, D. D. &amp; Kagan, Y. Y. Sesimic gaps and earthquakes, J. Geophys. Res.&nbsp;108 (2003) (doi:10.1029/2002JB002334).\" href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR5\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 5\" data-mce-href=\"https://www.nature.com/articles/ngeo.2007.36#ref-CR5\">5</a></sup><span>. Here I use spectral analysis of the spatial distribution of seismicity along the San Andreas fault (for earthquakes that are at least 2 in magnitude), which reveals that it obeys a power-law relationship, indicative of self-similarity in clusters across a range of spatial scales. To determine whether the observed clustering of earthquakes is the result of a heterogeneous stress distribution, I use a finite-element method to simulate the motion of two rigid blocks past each other along a model fault surface that shows three-dimensional complexity on the basis of mapped traces of the San Andreas fault. The results indicate that long-term slip on the model fault generates a temporally stable, spatially variable distribution of stress that shows the same power-law relationship as the earthquake distribution. At the highest rates of San Andreas fault slip (40 mm yr</span><sup>−1</sup><span>), stress patterns produced are stable over a minimum of 25,000 years before the model fault system evolves into a new configuration. These results suggest that although gaps are not immune to rupture propagation they are less likely to be nucleation sites for&nbsp;earthquakes.</span></p>","language":"English","publisher":"Springer","doi":"10.1038/ngeo.2007.36","usgsCitation":"Parsons, T., 2008, Persistent earthquake clusters and gaps from slip on irregular faults: Nature Geoscience, v. 1, p. 59-63, https://doi.org/10.1038/ngeo.2007.36.","productDescription":"5 p.","startPage":"59","endPage":"63","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":382238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"1","noUsgsAuthors":false,"publicationDate":"2007-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Parsons, Tom 0000-0002-0582-4338","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":22056,"corporation":false,"usgs":true,"family":"Parsons","given":"Tom","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808371,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80245,"text":"ds265 - 2008 - Time-series photographs of the sea floor in western Massachusetts Bay, version 2, 1989 - 1996","interactions":[],"lastModifiedDate":"2025-04-10T14:30:34.620511","indexId":"ds265","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"265","title":"Time-series photographs of the sea floor in western Massachusetts Bay, version 2, 1989 - 1996","docAbstract":"<p>Time-series photographs of the sea floor were obtained from an instrumented tripod deployed in western Massachusetts Bay at LT-A (42° 22.6' N, 70° 47.0' W; nominal water depth of 32 m; fig. 1) from December 1989 through September 2005. The photographs provide time-series observations of physical changes of the sea floor, near-bottom water turbidity, and life on the sea floor. Several reports present these photographs in digital form (table 1). This report, U.S. Geological Survey Data Series 265, Version 2.0, contains the photographs obtained from December 1989 to October 1996, adding to (and replacing) Version 1 of Data Series 265 (Butman and others, 2007a) that contained photographs from 1989 through 1993. Data Series 266 (Butman and others, 2008b) contains photographs obtained from October 1996 through September 2005. The photographs are published in separate reports because the data files are too large for distribution on a single DVD. These reports present the photographs, originally collected on 35-mm film, in digital form to enable easy viewing and to provide a medium-resolution digital archive. The photographs, obtained every 4 or every 6 hours, are presented as individual photographs (in .png format) and as a movie (in .avi format).</p><p><br></p><p>The time-series photographs taken at LT-A were collected as part of a U.S. Geological Survey (USGS) study to understand the transport and fate of sediments and associated contaminants in Massachusetts Bay and Cape Cod Bay (Bothner and Butman, 2007). This long-term study was carried out by the USGS in partnership with the Massachusetts Water Resources Authority (MWRA) (https://www.mwra.state.ma.us/) and with logistical support from the U.S. Coast Guard (USCG). Long-term oceanographic observations help to identify the processes causing bottom sediment resuspension and transport and provide data for developing and testing numerical models. The observations document seasonal and interannual changes in currents, hydrography, suspended-matter concentration, and the importance of infrequent catastrophic events, such as major storms, in sediment resuspension and transport. LT-A is approximately 1 km south of the ocean outfall that began discharging treated sewage effluent from the Boston metropolitan area into Massachusetts Bay in September 2000. See Butman and others (2004d) for a description of the oceanographic measurements at LT-A, and Butman and others (2007c) and Warner and others (2008) for discussion of sediment transport in Massachusetts Bay.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds265","isbn":"9781411319790","usgsCitation":"Butman, B., Dalyander, P., Bothner, M., and Lange, W.N., 2008, Time-series photographs of the sea floor in western Massachusetts Bay, version 2, 1989 - 1996 (Version 2.0): U.S. Geological Survey Data Series 265, HTML Document, https://doi.org/10.3133/ds265.","productDescription":"HTML Document","temporalStart":"1989-01-01","temporalEnd":"1993-12-31","ipdsId":"IP-004260","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":192221,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds265.png"},{"id":292758,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://woodshole.er.usgs.gov/pubs/ds-265V2/WEBPAGES/intro.html"},{"id":10954,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://woodshole.er.usgs.gov/pubs/ds-265V2/","linkFileType":{"id":5,"text":"html"}},{"id":395731,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81624.htm"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Massachusetts Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.7847,\n              42.3750\n            ],\n            [\n              -70.7819,\n              42.3750\n            ],\n            [\n              -70.7819,\n              42.3778\n            ],\n            [\n              -70.7847,\n              42.3778\n            ],\n            [\n              -70.7847,\n              42.3750\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 2.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af1e4b07f02db6917b3","contributors":{"authors":[{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":292077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lange, William N.","contributorId":42306,"corporation":false,"usgs":true,"family":"Lange","given":"William","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":292076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236961,"text":"70236961 - 2008 - GIS technology and models for assessing landslide hazard and risk","interactions":[],"lastModifiedDate":"2022-09-23T13:23:01.304128","indexId":"70236961","displayToPublicDate":"2007-06-14T08:19:39","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":"GIS technology and models for assessing landslide hazard and risk","docAbstract":"<p><span>Advances in Geographical Information Systems (GIS) technology and the mathematical/statistical tools for modelling and simulation have led to the growing application of quantitative techniques in many areas of the earth sciences. Few disciplines have embraced these developments more enthusiastically than the study of landslide hazards. Because the shape of the land surface plays a fundamental role in landslide processes, much of this new work has been driven by the increasing availability of digital elevation models (DEMs) and the software to manipulate them. As a result, investigators worldwide are devising spatial models to forecast slope instability in efforts to keep landslide hazards from becoming landslide disasters. The methods range from empirical and heuristic to statistical and physically-based. Despite nearly a quarter-century of progress, e.g. since&nbsp;</span>Carrara (1983)<span>, and a veritable “cottage industry” of current DEM-based hazard mapping, many of these spatial predictions either are based on unsuitable data or are not properly modelled.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2006.07.042","usgsCitation":"Carrara, A., and Pike, R.J., 2008, GIS technology and models for assessing landslide hazard and risk: Geomorphology, v. 94, no. 3-4, p. 257-260, https://doi.org/10.1016/j.geomorph.2006.07.042.","productDescription":"4 p.","startPage":"257","endPage":"260","costCenters":[],"links":[{"id":407258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carrara, A.","contributorId":205571,"corporation":false,"usgs":false,"family":"Carrara","given":"A.","email":"","affiliations":[],"preferred":false,"id":852819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pike, Richard J. rpike@usgs.gov","contributorId":5753,"corporation":false,"usgs":true,"family":"Pike","given":"Richard","email":"rpike@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":852820,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":50724,"text":"ofr2002468 - 2008 - Geologic map of Mount St. Helens, Washington prior to the 1980 eruption","interactions":[],"lastModifiedDate":"2019-03-20T08:14:23","indexId":"ofr2002468","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2002-468","displayTitle":"Geologic Map of Mount St. Helens, Washington Prior to the 1980 Eruption","title":"Geologic map of Mount St. Helens, Washington prior to the 1980 eruption","docAbstract":"It is rare that a geologic map exists for a volcano prior to such a catastrophic modification as that produced by the eruption of Mount St. Helens in 1980. As such, this map provides an important historical record of the volcano prior to that eruption. The map has not been reviewed or checked for conformity to USGS editorial standards or stratigraphic nomenclature, and it has not been digitized. This version of the map is unchanged from that submitted to the USGS for publication shortly after the 1980 eruption of Mount St. Helens and includes unresolved inconsistencies with the subsequently published work of Crandell (1987) and Mullineaux (1996). Nevertheless, it is the most accurate available depiction of the pre-1980 edifice and is published here for comparison with more recent geologic mapping and historical perspectives.","language":"English","publisher":"U.S. Geological Survey ","doi":"10.3133/ofr2002468","usgsCitation":"Hopson, C., 2008, Geologic map of Mount St. Helens, Washington prior to the 1980 eruption (Version 1.0): U.S. Geological Survey Open-File Report 2002-468, 2 Map Sheets: 34 x 44 inches, https://doi.org/10.3133/ofr2002468.","productDescription":"2 Map Sheets: 34 x 44 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":176707,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":110781,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84084.htm","linkFileType":{"id":5,"text":"html"},"description":"84084"},{"id":11537,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/of02-468/","linkFileType":{"id":5,"text":"html"}}],"scale":"31250","projection":"Polyconic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,46 ], [ -122.5,46.5 ], [ -122,46.5 ], [ -122,46 ], [ -122.5,46 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ee4b07f02db6aa652","contributors":{"authors":[{"text":"Hopson, Clifford A.","contributorId":36805,"corporation":false,"usgs":true,"family":"Hopson","given":"Clifford A.","affiliations":[],"preferred":false,"id":242164,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":77492,"text":"i2600B - 2008 - Coastal-Change and Glaciological Map of the Larsen Ice Shelf Area, Antarctica, 1940-2005","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"i2600B","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2600","chapter":"B","title":"Coastal-Change and Glaciological Map of the Larsen Ice Shelf Area, Antarctica, 1940-2005","docAbstract":"Changes in the area and volume of polar ice sheets are intricately linked to changes in global climate, and the resulting changes in sea level could severely impact the densely populated coastal regions on Earth. Antarctica is Earth's largest reservoir of glacial ice. Melting of the West Antarctic part alone of the Antarctic ice sheet would cause a sea-level rise of approximately 6 meters (m), and the potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). The mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is highly complex, responding differently to different climatic and other conditions in each region (Vaughan, 2005). In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic ice sheet is probably becoming thinner overall; although it is known to be thickening in the west, it is thinning in the north. The mass balance of the East Antarctic ice sheet is thought by Davis and others (2005) to be positive on the basis of the change in satellite-altimetry measurements made between 1992 and 2003. \r\n\r\nMeasurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation's (1990) Division of Polar Programs. On the basis of these recommendations, the U.S. Geological Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Antarctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the cryospheric coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) images [and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images], RADARSAT images, aerial photography, and other data where available, to compare changes that occurred during a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps (I-2600) (Williams and others, 1995; Ferrigno and others, 2002; and Williams and Ferrigno, 2005) (available online at http://www.glaciers.er.usgs.gov). ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/i2600B","isbn":"9781411319103","collaboration":"Prepared in cooperation with the British Antarctic Survey, the Scott Polar Research Institute, and the Bundesamt fur Kartographie und Geodasie","usgsCitation":"Ferrigno, J.G., Cook, A.J., Mathie, A., Williams, R., Swithinbank, C., Foley, K.M., Fox, A.J., Thomson, J.W., and Sievers, J., 2008, Coastal-Change and Glaciological Map of the Larsen Ice Shelf Area, Antarctica, 1940-2005: U.S. Geological Survey IMAP 2600, Report: iv, 28 p.; Map: 51 x 27.5 inches, https://doi.org/10.3133/i2600B.","productDescription":"Report: iv, 28 p.; Map: 51 x 27.5 inches","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1940-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":191199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12525,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/B/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Polar stereographic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,-70 ], [ -78,-65 ], [ -57,-65 ], [ -57,-70 ], [ -78,-70 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aea34","contributors":{"authors":[{"text":"Ferrigno, Jane G. jferrign@usgs.gov","contributorId":39825,"corporation":false,"usgs":true,"family":"Ferrigno","given":"Jane","email":"jferrign@usgs.gov","middleInitial":"G.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":288594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Alison J.","contributorId":42665,"corporation":false,"usgs":true,"family":"Cook","given":"Alison","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":288595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathie, Amy M.","contributorId":82803,"corporation":false,"usgs":true,"family":"Mathie","given":"Amy M.","affiliations":[],"preferred":false,"id":288597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Richard S. Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":288598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swithinbank, Charles","contributorId":26368,"corporation":false,"usgs":true,"family":"Swithinbank","given":"Charles","email":"","affiliations":[],"preferred":false,"id":288592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":288591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fox, Adrian J.","contributorId":68413,"corporation":false,"usgs":true,"family":"Fox","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":288596,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomson, Janet W.","contributorId":32212,"corporation":false,"usgs":true,"family":"Thomson","given":"Janet","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":288593,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sievers, Jorn","contributorId":101753,"corporation":false,"usgs":true,"family":"Sievers","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":288599,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":80154,"text":"ofr20071086 - 2007 - A Quantitative Threats Analysis for the Florida Manatee (<em>Trichechus manatus latirostris</em>)","interactions":[],"lastModifiedDate":"2021-08-20T13:34:14.375904","indexId":"ofr20071086","displayToPublicDate":"2021-08-20T09:40:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1086","displayTitle":"A Quantitative Threats Analysis for the Florida Manatee (<em>Trichechus manatus latirostris</em>)","title":"A Quantitative Threats Analysis for the Florida Manatee (<em>Trichechus manatus latirostris</em>)","docAbstract":"The Florida manatee (Trichechus manatus latirostris) is an endangered marine mammal endemic to the southeastern United States. The primary threats to manatee populations are collisions with watercraft and the potential loss of warm-water refuges. For the purposes of listing, recovery, and regulation under the Endangered Species Act (ESA), an understanding of the relative effects of the principal threats is needed. This work is a quantitative approach to threats analysis, grounded in the assumption that an appropriate measure of status under the ESA is based on the risk of extinction, as quantified by the probability of quasi-extinction. This is related to the qualitative threats analyses that are more common under the ESA, but provides an additional level of rigor, objectivity, and integration. In this approach, our philosophy is that analysis of the five threat factors described in Section 4(a)(1) of the ESA can be undertaken within an integrated quantitative framework.\r\n\r\nThe basis of this threats analysis is a comparative population viability analysis. This involves forecasting the Florida manatee population under different scenarios regarding the presence of threats, while accounting for process variation (environmental, demographic, and catastrophic stochasticity) as well as parametric and structural uncertainty. We used the manatee core biological model (CBM) for this viability analysis, and considered the role of five threats: watercraft-related mortality, loss of warm-water habitat in winter, mortality in water-control structures, entanglement, and red tide. All scenarios were run with an underlying parallel structure that allowed a more powerful estimation of the effects of the various threats. The results reflect our understanding of manatee ecology (as captured in the structure of the CBM), our estimates of manatee demography (as described by the parameters in the model), and our characterization of the mechanisms by which the threats act on manatees.\r\n\r\nAs an example of the type of results generated, we estimated that the probability of the manatee population falling to less than 250 adults on either the Atlantic or Gulf coasts (from a current statewide population size of near 3300) within 100 years is 8.6%. Complete removal of the watercraft threat alone would reduce this risk to 0.4%; complete removal of the warm-water threat to 4.2%; removal of both threats would reduce the risk to 0.1%. The modeling approach we have taken also allows us to consider partial removal of threats, as well as removal of multiple threats simultaneously.\r\n\r\nWe believe the measure we have proposed (probability of quasi-extinction over y years, with quasi-extinction defined as dropping below a threshold of z on either coast) is a suitable measure of status that integrates a number of the elements that are relevant to interpretation under the ESA (it directly integrates risk of extinction and reduction of range, and indirectly integrates loss of genetic diversity). But the identification of the time frame of interest and the tolerable risk of quasi-extinction are policy decisions, and an ecology-based quasi-extinction threshold has not yet been determined. We have endeavored to provide results over a wide range of these parameters to give decision-makers useful information to assess status.\r\n\r\nThis assessment of threats suggests that watercraft-related mortality is having the greatest impact on manatee population growth and resilience. Elimination of this single threat would greatly reduce the probability of quasi-extinction. Loss of warm-water is also a significant threat, particularly over the long-term. Red tide and entanglement, while noticeable threats, have had less of an impact on the manatee population. The effect of water control structures may have already been largely mitigated. We did not, however, consider an exhaustive list of threats. Other threats (e.g., reduction of food resources due to storms and development) may play a","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071086","usgsCitation":"Runge, M.C., Sanders-Reed, C., Langtimm, C.A., and Fonnesbeck, C.J., 2007, A Quantitative Threats Analysis for the Florida Manatee (<em>Trichechus manatus latirostris</em>): U.S. Geological Survey Open-File Report 2007-1086, 34 p., https://doi.org/10.3133/ofr20071086.","productDescription":"34 p.","numberOfPages":"34","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":192149,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2007/1086/coverthb.jpg"},{"id":9967,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1086/ofr20071086.pdf","text":"Report","size":"646 KB","linkFileType":{"id":1,"text":"pdf"}}],"publicComments":"Original contributing office: Patuxent Wildlife Research Center","contact":"<p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4965e4b0b290850ef1f7","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":291861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders-Reed, Carol A.","contributorId":86441,"corporation":false,"usgs":true,"family":"Sanders-Reed","given":"Carol A.","affiliations":[],"preferred":false,"id":291863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":291860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fonnesbeck, Christopher J.","contributorId":72474,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":291862,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80155,"text":"ofr20071082 - 2007 - A core stochastic population projection model for Florida manatees (Trichechus manatus latirostris)","interactions":[],"lastModifiedDate":"2024-05-29T17:06:03.297476","indexId":"ofr20071082","displayToPublicDate":"2021-08-20T09:35:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1082","displayTitle":"A Core Stochastic Population Projection Model for Florida Manatees (<em>Trichechus manatus latirostris</em>)","title":"A core stochastic population projection model for Florida manatees (Trichechus manatus latirostris)","docAbstract":"A stochastic, stage-based population model was developed to describe the life history and forecast the population dynamics of the Florida manatee (Trichechus manatus latirostris) in four separate regions of Florida. This population model includes annual variability in survival and reproductive rates, demographic stochasticity, effects of changes in warm-water capacity, and catastrophes. Further, the model explicitly accounts for uncertainty in parameter estimates. This model is meant to serve as a flexible tool for use in assessments relevant to management decision making, and was used in the State of Florida's recent biological status review. The parameter estimates and model structure described herein reflect our understanding of manatee demography at the time that this status review was completed. In the Northwest and Upper St. Johns regions, the model predicts that the populations will increase over time until warm-water capacity is reached, at which point growth will taper off. In the Atlantic region, the model predicts a stable or slightly increasing population over the next decade or so, and then a decrease as industrial warm-water capacity is lost. In the Southwest region, the model predicts a decline over time, driven by high annual mortality in the short-term and exacerbated by loss of industrial warm-water winter refuges over the next 40 years. Statewide, the likelihood of a 50% or greater decline in three manatee generations was 12%; the likelihood of a 20% or greater decline in two generations was 56%. These declines are largely driven by the anticipated loss of warm-water capacity, especially in the Atlantic and Southwest regions. The estimates of probability of extinction within 100 years were 11.9% for the Southwest region, 0.6% for the Northwest, 0.04% for the Atlantic, and <0.02% for the Upper St. Johns. The estimated probability that the statewide population will fall below 1000 animals within 100 years was 2.3%. Thus, while the estimated probability of extinction is low, the model predicts that current and emerging threats are likely to result in a long-term decline in the statewide population and a change in the regional distribution of manatees. Analyses of sensitivity and variance contribution highlight the importance of reducing uncertainty in some life-history parameters, particularly adult survival, temporal variance of adult survival, and long-term warm-water capacity. This core biological model is expected to evolve over time, as better information becomes available about manatees and their habitat, and as new assessment needs arise. We anticipate that this core model will be customized for other state and federal assessments in the near future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071082","usgsCitation":"Runge, M.C., Sanders-Reed, C., and Fonnesbeck, C.J., 2007, A core stochastic population projection model for Florida manatees (Trichechus manatus latirostris): U.S. Geological Survey Open-File Report 2007-1082, 41 p., https://doi.org/10.3133/ofr20071082.","productDescription":"41 p.","numberOfPages":"41","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":9968,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1082/ofr20071082.pdf","text":"Report","size":"662 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":192152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2007/1082/coverthb.jpg"},{"id":429342,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2007/1082/OFR2007-1082AppB.xlsx","text":"Appendix B. (XLSX)","size":"16.1 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":429341,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2007/1082/OFR2007-1082AppB.pdf","text":"Appendix B. (PDF)","size":"51.5 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Parameters and their estimates in the CBM"},{"id":429343,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2007/1082/OFR2007-1082AppB.csv","text":"Appendix B. (CSV)","size":"10.2 KB","linkFileType":{"id":7,"text":"csv"}}],"publicComments":"Original contributing office: Patuxent Wildlife Research Center","contact":"<p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4952e4b0b290850ef0c9","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":291864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders-Reed, Carol A.","contributorId":86441,"corporation":false,"usgs":true,"family":"Sanders-Reed","given":"Carol A.","affiliations":[],"preferred":false,"id":291866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fonnesbeck, Christopher J.","contributorId":72474,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":291865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80203,"text":"cir1313 - 2007 - U.S. Geological Survey Activities Related to American Indians and Alaska Natives: Fiscal Year 2005","interactions":[],"lastModifiedDate":"2021-08-20T12:15:39.450188","indexId":"cir1313","displayToPublicDate":"2021-08-19T09:25:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1313","title":"U.S. Geological Survey Activities Related to American Indians and Alaska Natives: Fiscal Year 2005","docAbstract":"Introduction\r\n\r\nThis report describes the activities that the U.S. Geological Survey (USGS) conducted with American Indian and Alaska Native governments, educational institutions, and individuals during Federal fiscal year (FY) 2005. Most of these USGS activities were collaborations with Tribes, Tribal organizations, or professional societies. Others were conducted cooperatively with the Bureau of Indian Affairs (BIA) or other Federal entities.\r\n\r\nThe USGS is the earth and natural science bureau within the U.S. Department of the Interior (DOI). The USGS does not have regulatory or land management responsibilities.\r\n\r\nAs described in this report, there are many USGS activities that are directly relevant to American Indians, Alaska Natives, and to Native lands. A USGS website, dedicated to making USGS more accessible to American Indians, Alaska Natives, their governments, and institutions, is available at www.usgs.gov/indian. This website includes information on how to contact USGS American Indian/Alaska Native Liaisons, training opportunities, and links to other information resources. This report and previous editions are also available through the website.\r\n\r\nThe USGS realizes that Native knowledge and cultural traditions of living in harmony with nature result in unique Native perspectives that enrich USGS studies. USGS seeks to increase the sensitivity and openness of its scientists to the breadth of Native knowledge, expanding the information on which their research is based.\r\n\r\nUSGS scientific studies include data collection, mapping, natural resource modeling, and research projects. These projects typically last 2 or 3 years, although some are parts of longer-term activities. Some projects are funded cooperatively, with USGS funds matched or supplemented by individual Tribal governments, or by the BIA. These projects may also receive funding from the U.S. Environmental Protection Agency (USEPA), the Indian Health Service (part of the Department of Health and Human Services), or other Federal agencies. The USGS routinely works with its sister bureaus in the Department of the Interior to provide the scientific information and expertise needed to meet the Department's science priorities.\r\n\r\nSome USGS activities described in this report are conducted as collateral tasks that result from USGS employees identifying and responding to perceived needs. These endeavors are usually prompted by employee interests and frequently involve educational activities. The education is often a reciprocal learning and teaching experience for USGS employees and for Native participants. Through these activities, USGS employees help to fulfill a mission of the USGS - to demonstrate scientific relevance - while helping their fellow citizens. Increasingly, some of the educational activities are becoming parts of formal USGS projects.\r\n\r\nUSGS employees also take initiative in assisting American Indians and Alaska Natives by participating in several organizations that promote awareness of science career opportunities among Native peoples and help build support and communication networks. One such group is the American Indian Science and Engineering Society (AISES). USGS employees join this organization on a voluntary basis, bringing the benefits of this expanded network to the USGS, as many employees do with other professional organizations.\r\n\r\nThe studies briefly described in this report span subsistence issues, wildlife health, water quality, mineral resources, monitoring and modeling to gather information and predict what may happen in the future. Although each project description relates to Native Americans in some way, the projects vary widely, including who conducted the work, the goals and products, the duration of the study, and whether it was local or covered a broad area. Each major organizational unit of the USGS has identified an American Indian/Alaska Native liaison. The USGS has a regional organizational structure, with Western, Central,","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1313","isbn":"9781411318762","usgsCitation":"Marcus, S.M., 2007, U.S. Geological Survey Activities Related to American Indians and Alaska Natives: Fiscal Year 2005 (Version 1.0): U.S. Geological Survey Circular 1313, xvi, 116 p., https://doi.org/10.3133/cir1313.","productDescription":"xvi, 116 p.","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190884,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/2007/1313/coverthb.gif"},{"id":10015,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/2007/1313/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db61377d","contributors":{"authors":[{"text":"Marcus, Susan M.","contributorId":97076,"corporation":false,"usgs":true,"family":"Marcus","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":291968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79843,"text":"cir1309 - 2007 - Facing tomorrow’s challenges—U.S. Geological Survey science in the decade 2007–2017","interactions":[],"lastModifiedDate":"2019-10-01T12:59:07","indexId":"cir1309","displayToPublicDate":"2019-10-01T14:10:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1309","displayTitle":"Facing Tomorrow’s Challenges—U.S. Geological Survey Science in the Decade 2007–2017","title":"Facing tomorrow’s challenges—U.S. Geological Survey science in the decade 2007–2017","docAbstract":"<h1>Executive Summary</h1><p>In order for the U.S. Geological Survey (USGS) to respond to evolving national and global priorities, it must periodically reflect on, and optimize, its strategic directions. This report is the first comprehensive science strategy since the early 1990s to examine critically major USGS science goals and priorities.</p><p>The development of this science strategy comes at a time of global trends and rapidly evolving societal needs that pose important natural-science challenges. The emergence of a global economy affects the demand for all resources. The last decade has witnessed the emergence of a new model for managing Federal lands—ecosystem-based management. The U.S. Climate Change Science Program predicts that the next few decades will see rapid changes in the Nation’s and the Earth’s environment. Finally, the natural environment continues to pose risks to society in the form of volcanoes, earthquakes, wildland fires, floods, droughts, invasive species, variable and changing climate, and natural and anthropogenic toxins, as well as animal-borne diseases that affect humans. The use of, and competition for, natural resources on the global scale, and natural threats to those resources, has the potential to impact the Nation’s ability to sustain its economy, national security, quality of life, and natural environment.</p><p>Responding to these national priorities and global trends requires a science strategy that not only builds on existing USGS strengths and partnerships but also demands the innovation made possible by integrating the full breadth and depth of USGS capabilities. The USGS chooses to go forward in the science directions proposed here because the societal issues addressed by these science directions represent major challenges for the Nation’s future and for the stewards of Federal lands, both onshore and offshore.</p><p>The six science directions proposed in this science strategy are summarized in the following paragraphs. The ecosystems strategy is listed first because it has a dual nature. It is itself an essential direction for the USGS to pursue to meet a pressing national and global need, but ecosystem-based approaches are also an underpinning of the other five directions, which all require ecosystem perspectives and tools for their execution. The remaining strategic directions are listed in alphabetical order.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1309","usgsCitation":"U.S. Geological Survey, 2007, Facing tomorrow’s challenges—U.S. Geological Survey science in the decade 2007–2017: U.S. Geological Survey Circular 1309, 67 p.","productDescription":"x, 67 p.","numberOfPages":"81","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":194902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1309.gif"},{"id":292617,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/2007/1309/pdf/C1309.pdf","text":"Report","size":"14.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1309"}],"contact":"<p><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Foreword</li><li>Abbreviations</li><li>Executive Summary</li><li>Introduction</li><li>Understanding Ecosystems and Predicting Ecosystem Change: Ensuring the Nation’s Economic and Environmental Future</li><li>Climate Variability and Change: Clarifying the Record and Assessing Consequences</li><li>Energy and Minerals for America’s Future: Providing a Scientific Foundation for Resource Security, Environmental Health, Economic Vitality, and Land Management</li><li>A National Hazards, Risk, and Resilience Assessment Program: Ensuring the Long-Term Health and Wealth of the Nation</li><li>The Role of Environment and Wildlife in Human Health: A System that Identifies Environmental Risk to Public Health in America</li><li>A Water Census of the United States: Quantifying, Forecasting, and Securing Freshwater for America’s Future .</li><li>New Methods of Investigation and Discovery</li><li>Conclusions</li><li>References Cited</li><li>Appendix: Charter for Science Strategy Development; Science Strategy Team</li></ul>","publishedDate":"2007-04-24","noUsgsAuthors":false,"publicationDate":"2007-04-24","publicationStatus":"PW","scienceBaseUri":"4f4e4a06e4b07f02db5f885d","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534862,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}