{"pageNumber":"12","pageRowStart":"275","pageSize":"25","recordCount":370,"records":[{"id":70029105,"text":"70029105 - 2005 - Twentieth century demographic changes in cirio and cardón in Baja California, Mexico","interactions":[],"lastModifiedDate":"2015-05-04T13:29:33","indexId":"70029105","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth century demographic changes in cirio and cardón in Baja California, Mexico","docAbstract":"<div class=\"para\">\n<p><strong>Aim&ensp;</strong>&nbsp;Our purpose was to discern long-term large-scale patterns of survivorship and recruitment of two dominant, charismatic and useful desert plants, cirio [Fouquieriaceae;&nbsp;<i>Fouquieria columnaris</i>&nbsp;(Kell.) Kell. ex Curran] and card&oacute;n [Cactaceae;&nbsp;<i>Pachycereus pringlei</i>(S.Watson) Britton &amp; Rose], and to evaluate the effects of physical and human factors.</p>\n</div>\n<div class=\"para\">\n<p><strong>Location&ensp;</strong>&nbsp;The study included 77 sites distributed over&nbsp;<i>c.</i>&nbsp;13,200&nbsp;km<sup>2</sup>&nbsp;in the northern Vizca&iacute;no Region of the Sonoran Desert, state of Baja California, M&eacute;xico.</p>\n</div>\n<div class=\"para\">\n<p><strong>Method&ensp;</strong>&nbsp;Censuses used identified individuals (<i>n</i>&nbsp;=&nbsp;3780 cirio and 2246 card&oacute;n) and were based on repeat photography. Time intervals between censuses ranged from 29 to 96&nbsp;years, ending in 1996&ndash;2002. Earlier repetition (1963) of old photographs at 14 sites allowed analysis of temporal variation. The effect of elapsed time was modelled with Weibull functions for survivorship and linear functions for recruitment. To explain the residual variations, we tested categorical and continuous variables related to substrate, geomorphology, climate and geography. Human impacts were weighed with historical and quantitative analysis.</p>\n</div>\n<div class=\"para\">\n<p><strong>Results&ensp;</strong>&nbsp;Elapsed time accounted for 45% of the variation of survivorship in cirio but only 35% in card&oacute;n. The fitted Weibull curves were used to estimate longevity: all-size cohorts of 1000 individuals would die out in 388 (cirio) and 723&nbsp;years (card&oacute;n). Recruitment in cirio was linearly related to time (<i>r</i><sup>2</sup>&nbsp;=&nbsp;0.71) and averaged &lt;&nbsp;0.003&nbsp;year<sup>&minus;1</sup>&nbsp;but was less than mortality at 90% of the sites. For card&oacute;n, recruitment averaged &gt;&nbsp;0.005&nbsp;year<sup>&minus;1</sup>, was linearly related to time (<i>r</i><sup>2</sup>&nbsp;=&nbsp;0.66) and was less than mortality at only 33% of the sites. Vital rates were not strongly correlated between mid- and late-century but were mostly similar to the long-term regional rates. Removing the factor of elapsed time, the residual variations showed that survivorship was greater on sites protected from winds for cirio and was less on very coarse soils for card&oacute;n. Recruitment increased with latitude in cirio and was greater on southern exposures for both species. The residual variations were not clearly affected, at a regional scale, by other factors thought to be important, including elevation, distance to the Pacific Ocean, geology, slope gradient, soil stability, older vs. young alluvial soils, and soil Ca&nbsp;:&nbsp;Mg and Na&nbsp;:&nbsp;K ratios. Human impacts have been sporadic and heterogeneous but locally strong; our quantitative indices of accessibility did not show regionally significant effects. Blowdown by hurricanes is a sporadic cause of major mortality for cirio but not necessarily for card&oacute;n.</p>\n</div>\n<div class=\"para\">\n<p><strong>Main conclusions&ensp;</strong>&nbsp;At our scales, effects of time outweigh those of substrate, and human impact was scant. Large patterns were pronounced: cirio experienced a prolonged, widespread decline in the 1900s, while card&oacute;n fluctuated in different directions and degree among local populations. Cirio was found to be inherently much shorter-lived than card&oacute;n. We also suggest that recruitment in cirio was low due to long periods with relatively dry winters that affected the entire region, while spatial heterogeneity of card&oacute;n recruitment seemed more related to the variation in summer rains.</p>\n</div>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2699.2004.01152.x","issn":"03050270","usgsCitation":"Bullock, S.H., Martijena, N.E., Webb, R., and Turner, R., 2005, Twentieth century demographic changes in cirio and cardón in Baja California, Mexico: Journal of Biogeography, v. 32, no. 1, p. 127-143, https://doi.org/10.1111/j.1365-2699.2004.01152.x.","productDescription":"17 p.","startPage":"127","endPage":"143","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":237864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":210830,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2699.2004.01152.x"}],"volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2004-12-23","publicationStatus":"PW","scienceBaseUri":"505bb908e4b08c986b327b70","contributors":{"authors":[{"text":"Bullock, Stephen H.","contributorId":34217,"corporation":false,"usgs":true,"family":"Bullock","given":"Stephen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":421343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martijena, Nora E.","contributorId":45504,"corporation":false,"usgs":true,"family":"Martijena","given":"Nora","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":421344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":421342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":421345,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70029613,"text":"70029613 - 2005 - Simulating the evolution of coastal morphology and stratigraphy with a new morphological-behaviour model (GEOMBEST)","interactions":[],"lastModifiedDate":"2018-04-09T12:31:37","indexId":"70029613","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the evolution of coastal morphology and stratigraphy with a new morphological-behaviour model (GEOMBEST)","docAbstract":"<p>A new morphological-behaviour model is used to simulate evolution of coastal morphology associated with cross-shore translations of the shoreface, barrier, and estuary. The model encapsulates qualitative principles drawn from established geological concepts that are parameterized to provide quantitative predictions of morphological change on geological time scales (order 10 3 years), as well as shorter time scales applicable for long-term coastal management (order 101 to 102 years). Changes in sea level, and sediment volume within the shoreface, barrier, and estuary, drive the model behaviour. Further parameters, defining substrate erodibility, sediment composition, and time-dependent shoreface response, constrain the evolution of the shoreface towards an equilibrium profile. Results from numerical experiments are presented for the low-gradient autochthonous setting of North Carolina and the steep allochthonous setting of the Washington shelf. Simulations in the Currituck region of North Carolina examined the influence of sediment supply, substrate composition, and substrate erodibility on barrier transgression. Results demonstrate that the presence of a lithified substrate reduces the rate of barrier transgression compared to scenarios where an erodible, sand-rich substrate exists. Simulations of the Washington coast, 20 km north of the Columbia River, confirmed that the model can reproduce complex stratigraphy involving regressive and transgressive phases of coastal evolution. Results suggest that the first major addition of sediment to the shelf occurred around 12 900 years ago and resulted from the rapid addition of sediment volume from the Columbia River attributed to the Missoula floods. This was followed by a period where little or no sediment was added (12 400-9100 BP) and a third period when most sediment was added to the shelf (9100 BP to present) from the Columbia River. Comparing results from each setting demonstrates an indirect control that substrate slope has on shoreface transgression rates. Shoreface transgression is shown to be sensitive to the rate of estuarine sedimentation, with the sensitivity increasing as substrate slope decreases.&nbsp;</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.margeo.2005.02.019","issn":"00253227","usgsCitation":"Stolper, D., List, J.H., and Thieler, E., 2005, Simulating the evolution of coastal morphology and stratigraphy with a new morphological-behaviour model (GEOMBEST): Marine Geology, v. 218, no. 1-4, p. 17-36, https://doi.org/10.1016/j.margeo.2005.02.019.","productDescription":"20 p.","startPage":"17","endPage":"36","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":237826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.3275146484375,\n              35.72421761691415\n            ],\n            [\n              -75.377197265625,\n              35.72421761691415\n            ],\n            [\n              -75.377197265625,\n              37.020098201368114\n            ],\n            [\n              -76.3275146484375,\n              37.020098201368114\n            ],\n            [\n              -76.3275146484375,\n              35.72421761691415\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"218","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8fd7e4b08c986b31918a","contributors":{"authors":[{"text":"Stolper, D.","contributorId":56846,"corporation":false,"usgs":true,"family":"Stolper","given":"D.","email":"","affiliations":[],"preferred":false,"id":423453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"List, J. H.","contributorId":70406,"corporation":false,"usgs":true,"family":"List","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":423454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E.R. 0000-0003-4311-9717","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":93082,"corporation":false,"usgs":true,"family":"Thieler","given":"E.R.","affiliations":[],"preferred":false,"id":423455,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70029023,"text":"70029023 - 2005 - Chemical weathering rates of a soil chronosequence on granitic alluvium: III. Hydrochemical evolution and contemporary solute fluxes and rates","interactions":[],"lastModifiedDate":"2018-10-29T10:37:16","indexId":"70029023","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Chemical weathering rates of a soil chronosequence on granitic alluvium: III. Hydrochemical evolution and contemporary solute fluxes and rates","docAbstract":"<p>Although long-term changes in solid-state compositions of soil chronosequences have been extensively investigated, this study presents the first detailed description of the concurrent hydrochemical evolution and contemporary weathering rates in such sequences. The most direct linkage between weathering and hydrology over 3 million years of soil development in the Merced chronosequence in Central California relates decreasing permeability and increasing hydrologic heterogeneity to the development of secondary argillic horizons and silica duripans. In a highly permeable, younger soil (40 kyr old), pore water solutes reflect seasonal to decadal-scale variations in rainfall and evapotranspiration (ET). This climate signal is strongly damped in less permeable older soils (250 to 600 kyr old) where solutes increasingly reflect weathering inputs modified by heterogeneous flow.</p><p>Elemental balances in the soils are described in terms of solid state, exchange and pore water reservoirs and input/output fluxes from precipitation, ET, biomass, solute discharge and weathering. Solute mineral nutrients are strongly dependent on biomass variations as evidenced by an apparent negative K weathering flux reflecting aggradation by grassland plants. The ratios of solute Na to other base cations progressively increase with soil age. Discharge fluxes of Na and Si, when integrated over geologic time, are comparable to solid-state mass losses in the soils, implying similar past weathering conditions. Similarities in solute and sorbed Ca/Mg ratios reflect short-term equilibrium with the exchange reservoir. Long-term consistency in solute ratios, when contrasted against progressive decreases in solid-state Ca/Mg, requires an additional Ca source, probably from dry deposition.</p><p>Amorphous silica precipitates from thermodynamically-saturated pore waters during periods of high evapotranspiration and result in the formation of duripans in the oldest soils. The degree of feldspar and secondary gibbsite and kaolinite saturation varies both spatially and temporally due to the seasonality of plant-respired CO<sub>2</sub><span>&nbsp;</span>and a decrease in organically complexed Al. In deeper pore waters, K-feldspar is in equilibrium and plagioclase is about an order of magnitude undersaturated. Hydrologic heterogeneity produces a range of weathering gradients that are constrained by solute distributions and matrix and macropore flow regimes. Plagioclase weathering rates, based on precipitation-corrected Na gradients, vary between 3 and 7 × 10<sup>−16</sup><span>&nbsp;</span>mol m<sup>−2</sup><span>&nbsp;</span>s<sup>−1</sup>. These rates are similar to previously determined solid-state rates but are several orders of magnitude slower than for experimental plagioclase dissolution indicating strong inhibitions to natural weathering, partly due to near-equilibrium weathering reactions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2004.10.003","issn":"00167037","usgsCitation":"White, A.F., Schulz, M.S., Vivit, D., Blum, A., Stonestrom, D.A., and Harden, J., 2005, Chemical weathering rates of a soil chronosequence on granitic alluvium: III. Hydrochemical evolution and contemporary solute fluxes and rates: Geochimica et Cosmochimica Acta, v. 69, no. 8, p. 1975-1996, https://doi.org/10.1016/j.gca.2004.10.003.","productDescription":"22 p.","startPage":"1975","endPage":"1996","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":236350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209677,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2004.10.003"}],"volume":"69","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f59be4b0c8380cd4c2fe","contributors":{"authors":[{"text":"White, A. F.","contributorId":36546,"corporation":false,"usgs":true,"family":"White","given":"A.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":420999,"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":420997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vivit, D.V.","contributorId":28609,"corporation":false,"usgs":true,"family":"Vivit","given":"D.V.","email":"","affiliations":[],"preferred":false,"id":420998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, A.E.","contributorId":100514,"corporation":false,"usgs":true,"family":"Blum","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":421002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":421001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":421000,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185118,"text":"70185118 - 2004 - Barrier island morphodynamic classification based on lidar metrics for north Assateague Island, Maryland","interactions":[],"lastModifiedDate":"2024-03-14T14:47:25.183458","indexId":"70185118","displayToPublicDate":"2005-12-31T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Barrier island morphodynamic classification based on lidar metrics for north Assateague Island, Maryland","docAbstract":"<p> In order to reap the potential of airborne lidar surveys to provide geological information useful in understanding coastal sedimentary processes acting on various time scales, a new set of analysis methods are needed. This paper presents a multi-temporal lidar analysis of north Assateague Island, Maryland, and demonstrates the calculation of lidar metrics that condense barrier island morphology and morphological change into attributed linear features that may be used to analyze trends in coastal evolution. The new methods proposed in this paper are also of significant practical value, because lidar metric analysis reduces large volumes of point elevations into linear features attributed with essential morphological variables that are ideally suited for inclusion in Geographic Information Systems.</p><p> A morphodynamic classification of north Assategue Island for a recent 10 month time period that is based on the recognition of simple patterns described by lidar change metrics is presented. Such morphodynamic classification reveals the relative magnitude and the fine scale alongshore variation in the importance of coastal changes over the study area during a defined time period. More generally, through the presentation of this morphodynamic classification of north Assateague Island, the value of lidar metrics in both examining large lidar data sets for coherent trends and in building hypotheses regarding processes driving barrier evolution is demonstrated</p>","language":"English","publisher":"Coastal Education & Research Foundation","doi":"10.2112/1551-5036(2004)020[0498:BIMCBO]2.0.CO;2","usgsCitation":"Brock, J., Krabill, W., and Sallenger, A., 2004, Barrier island morphodynamic classification based on lidar metrics for north Assateague Island, Maryland: Journal of Coastal Research, v. 20, no. 2, p. 498-509, https://doi.org/10.2112/1551-5036(2004)020[0498:BIMCBO]2.0.CO;2.","productDescription":"12 p.","startPage":"498","endPage":"509","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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-75.11077880859375,\n              38.309874561004726\n            ],\n            [\n              -75.11283874511719,\n              38.30394763084892\n            ],\n            [\n              -75.11764526367188,\n              38.29694245262843\n            ],\n            [\n              -75.12245178222656,\n              38.28885871419223\n            ],\n            [\n              -75.12725830078125,\n              38.28239107510447\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52d0e4b0849ce97c86c6","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":684418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krabill, William","contributorId":69013,"corporation":false,"usgs":true,"family":"Krabill","given":"William","affiliations":[],"preferred":false,"id":684419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":684420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69926,"text":"sir20045107 - 2004 - Water-level variations and their effects on tree growth and mortality and on the biogeochemical system at the phytoremediation demonstration site in Fort Worth, Texas, 1996-2003","interactions":[],"lastModifiedDate":"2017-03-29T17:39:38","indexId":"sir20045107","displayToPublicDate":"2005-01-15T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5107","title":"Water-level variations and their effects on tree growth and mortality and on the biogeochemical system at the phytoremediation demonstration site in Fort Worth, Texas, 1996-2003","docAbstract":"<p>In 1996, a field-scale phytoremediation demonstration project was initiated and managed by the U.S. Air Force at a site in western Fort Worth, Texas, using a plantation of 1-year-old stems harvested from branches of eastern cottonwoods during the dormant season (whips) and a plantation of 1-year-old eastern cottonwood seedlings (calipers). The primary objective of the demonstration project was to determine the effectiveness of eastern cottonwoods at reducing the mass of dissolved trichloroethene transported within an alluvial aquifer. The U.S. Geological Survey conducted a study, in cooperation with the U.S. Air Force, to determine water-level variations and their effects on tree growth and mortality and on the biogeochemical system at the phytoremediation site. As part of the study, water-level and water-quality data were collected throughout the duration of the project. </p><p>This report presents water-level variations at periodic sampling events; data from August 1996 to January 2003 are presented in this report. Water levels are affected by aquifer properties, precipitation, drawdown attributable to the trees in the study area, and irrigation. This report also evaluates the effects of ground-water depth on tree growth and mortality rates and on the biogeochemical system including subsurface oxidation-reduction processes. </p><p>Overall, both whips and calipers showed a substantial increase in height, canopy diameter, and trunk diameter over the first 3 years of the study. By the fifth growing season (September 2000), the height of the calipers varied predictably with height decreasing with increasing depth to ground water. Percent mortality was relatively constant at about 25 percent in the whip plantation in January 2003 where ground-water levels were less than 10 feet below land surface during the drought in September 2000. The mortality rate increased where the ground-water levels were greater than 10 feet below land surface and approached 90 percent where ground-water levels were between 12 and 13 feet. </p><p>A decrease in molar ratio of trichloroethene to <i>cis</i>-dichloroethene was measured in ground water within and downgradient from the planted area over time. Decreases in these ratios appeared to be related to ground-water depth. The molar ratios of trichloroethene to <i>cis</i>-dichloroethene during the third growing season were relatively constant, between 3.0 and 4.0, in samples collected from wells across the site. By the end of the fifth growing season the lowest ratio was measured in areas where ground-water depth was less than 10 feet below land surface; these same areas had the lowest dissolved oxygen concentrations (0.93 to 1.7 milligrams per liter) and the highest dissolved organic carbon concentrations (1.6 to 1.8 milligrams per liter). This indicates that between the third and fifth growing seasons, a labile fraction of dissolved organic carbon had been introduced into the aquifer by the planted trees that was capable of stimulating reductive dechlorination of trichloroethene. </p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045107","collaboration":"In cooperation with the U.S. Air Force, Aeronautical Systems Center, Environmental Management Directorate, Wright-Patterson Air Force Base, Ohio","usgsCitation":"Braun, C.L., Eberts, S., Jones, S.A., and Harvey, G.J., 2004, Water-level variations and their effects on tree growth and mortality and on the biogeochemical system at the phytoremediation demonstration site in Fort Worth, Texas, 1996-2003: U.S. Geological Survey Scientific Investigations Report 2004-5107, iv, 39 p., https://doi.org/10.3133/sir20045107.","productDescription":"iv, 39 p.","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":187448,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6277,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5107/","linkFileType":{"id":5,"text":"html"}},{"id":338771,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5107/pdf/sir2004-5107.pdf","text":"Report","size":"19.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Texas","otherGeospatial":"Naval Air Station-Joint Reserve Base Carswell Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.46,\n              32.75\n            ],\n            [\n              -97.4,\n              32.75\n            ],\n            [\n              -97.4,\n              32.79\n            ],\n            [\n              -97.46,\n              32.79\n            ],\n            [\n              -97.46,\n              32.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e7387","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":281546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":281548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Sonya A. 0000-0002-7462-8576 sajones@usgs.gov","orcid":"https://orcid.org/0000-0002-7462-8576","contributorId":1690,"corporation":false,"usgs":true,"family":"Jones","given":"Sonya","email":"sajones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":281547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Gregory J.","contributorId":48640,"corporation":false,"usgs":true,"family":"Harvey","given":"Gregory","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":281549,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":69862,"text":"sir20045080 - 2004 - Trends in Streamflow Characteristics at Long-Term Gaging Stations, Hawaii","interactions":[],"lastModifiedDate":"2012-03-08T17:16:17","indexId":"sir20045080","displayToPublicDate":"2005-01-11T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5080","title":"Trends in Streamflow Characteristics at Long-Term Gaging Stations, Hawaii","docAbstract":"The surface-water resources of Hawaii have significant cultural, aesthetic, ecologic, and economic importance. Proper management of the surface-water resources of the State requires an understanding of the long- and short-term variability in streamflow characteristics that may occur. The U.S. Geological Survey maintains a network of stream-gaging stations in Hawaii, including a number of stations with long-term streamflow records that can be used to evaluate long-term trends and short-term variability in flow characteristics.\r\n\r\nThe overall objective of this study is to obtain a better understanding of long-term trends and variations in streamflow on the islands of Hawaii, Maui, Molokai, Oahu, and Kauai, where long-term stream-gaging stations exist. This study includes (1) an analysis of long-term trends in flows (both total flow and estimated base flow) at 16 stream-gaging stations, (2) a description of patterns in trends within the State, and (3) discussion of possible regional factors (including rainfall) that are related to the observed trends and variations.\r\n\r\n\r\n\r\nResults of this study indicate the following:\r\n\r\n\r\n\r\n1. From 1913 to 2002 base flows generally decreased in streams for which data are available, and this trend is consistent with the long-term downward trend in annual rainfall over much of the State during that period.\r\n\r\n2. Monthly mean base flows generally were above the long-term average from 1913 to the early 1940s and below average after the early 1940s to 2002, and this pattern is consistent with the detected downward trends in base flows from 1913 to 2002.\r\n\r\n3. Long-term downward trends in base flows of streams may indicate a reduction in ground-water discharge to streams caused by a long-term decrease in ground-water storage and recharge.\r\n\r\n4. From 1973 to 2002, trends in streamflow were spatially variable (up in some streams and down in others) and, with a few exceptions, generally were not statistically significant.\r\n\r\n5. Short-term variability in streamflow is related to the seasons and to the EL Ni?o-Southern Oscillation phenomenon that may be partly modulated by the phase of the Pacific Decadal Oscillation.\r\n\r\n6. At almost all of the long-term stream-gaging stations considered in this study, average total flow (and to a lesser extent average base flow) during the winter months of January to March tended to be low following El Ni?o periods and high following La Ni?a periods, and this tendency was accentuated during positive phases of the Pacific Decadal Oscillation.\r\n\r\n7. The El Ni?o-Southern Oscillation phenomenon occurs at a relatively short time scale (a few to several years) and appears to be more strongly related to processes controlling rainfall and direct runoff than ground-water storage and base flow.\r\n\r\n\r\n\r\nLong-term downward trends in base flows of streams may indicate a reduction in ground-water storage and recharge. Because ground water provides about 99 percent of Hawaii's domestic drinking water, a reduction in ground-water storage and recharge has serious implications for drinking-water availability. In addition, reduction in stream base flows may reduce habitat availability for native stream fauna and water availability for irrigation purposes. \r\n\r\nFurther study is needed to determine (1) whether the downward trends in base flows from 1913 to 2002 will continue or whether the observed pattern is part of a long-term cycle in which base flows may eventually return to levels measured during 1913 to the early 1940s, (2) the physical causes for the detected trends and variations in streamflow, and (3) whether regional climate indicators successfully can be used to predict streamflow trends and variations throughout the State. These needs for future study underscore the importance of maintaining a network of long-term-trend stream-gaging stations in Hawaii.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20045080","collaboration":"Prepared in cooperation with the State of Hawaii Commission on Water Resource Management, County of Maui Department of Water Supply, and the U.S. Geological Survey Biological Resources Discipline","usgsCitation":"Oki, D.S., 2004, Trends in Streamflow Characteristics at Long-Term Gaging Stations, Hawaii: U.S. Geological Survey Scientific Investigations Report 2004-5080, vii, 116 p., https://doi.org/10.3133/sir20045080.","productDescription":"vii, 116 p.","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":191649,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6200,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5080/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4889e4b07f02db51b873","contributors":{"authors":[{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":281391,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70026438,"text":"70026438 - 2004 - Geochronology of the western and central Brooks Range, Alaska: Implications for the geologic evolution of the Anarraaq and Red Dog Zn-Pb-Ag deposits","interactions":[],"lastModifiedDate":"2012-03-12T17:20:21","indexId":"70026438","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochronology of the western and central Brooks Range, Alaska: Implications for the geologic evolution of the Anarraaq and Red Dog Zn-Pb-Ag deposits","docAbstract":"A compilation of published geochronology of rocks and minerals from the western and central Brooks Range provides a framework for understanding the complex history of the Brooks Range and northern Alaska. A simplified timeline of events comprises (1) Devonian extension, (2) Mississippian extension and Zn-Pb-Ag mineralization, (3) a passive interval, (4) pre-Brooks Range orogeny rock-formation and thermal event, (5) inception of Brooks Range orogeny, (6) exhumation and the end of main-stage deformation, and (7) subsequent episodic deformation. This compilation is supplemented by new 40Ar/39Ar dates of white mica from the Anarraaq and Red Dog Zn-Pb-Ag (+ barite) deposits from the western Brooks Range. The deposits are hosted in black shale and carbonate rocks of the Late Mississippian-Early Pennsylvanian Kuna Formation. Quartz-pyrite-white mica grains in sedimentary rocks above the Anarraaq deposit yield an age of 195.0 ?? 2.0 Ma, and paragenetically late quartz-pyrite-white mica from the Main orebody at the Red Dog deposit has an age of 126.1 ?? 0.7 Ma. These white micas are much younger than the age of Zn-Pb-Ag mineralization at Red Dog (338 ?? 5.8 Ma Re-Os age of pyrite). The date for white mica from Anarraaq (???195 Ma) appears to be related to a large-scale thermal event in the region immediately before the inception of the Brooks Range orogeny. The white mica from the Red Dog deposit (???126 Ma) correlates with the later stages of the orogeny, a period of blueschist metamorphism, extension, and rapid exhumation, which varied with geographic location. These dates suggest that the Red Dog deposits underwent significant hydrothermal overprinting during multiple episodes of the Brooks Range orogeny. ?? 2004 by Economic Geology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2113/99.7.1307","issn":"03610128","usgsCitation":"Rombach, C., and Layer, P., 2004, Geochronology of the western and central Brooks Range, Alaska: Implications for the geologic evolution of the Anarraaq and Red Dog Zn-Pb-Ag deposits: Economic Geology, v. 99, no. 7, p. 1307-1322, https://doi.org/10.2113/99.7.1307.","startPage":"1307","endPage":"1322","numberOfPages":"16","costCenters":[],"links":[{"id":234301,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":208515,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/99.7.1307"}],"volume":"99","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1736e4b0c8380cd55425","contributors":{"authors":[{"text":"Rombach, C.S.","contributorId":52228,"corporation":false,"usgs":true,"family":"Rombach","given":"C.S.","affiliations":[],"preferred":false,"id":409528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layer, P.W.","contributorId":42398,"corporation":false,"usgs":true,"family":"Layer","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":409527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70027743,"text":"70027743 - 2004 - Isotopic composition of Pb and Th in interplinian volcanics from Somma-Vesuvius volcano, Italy","interactions":[],"lastModifiedDate":"2021-10-13T17:37:08.119341","indexId":"70027743","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2751,"text":"Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic composition of Pb and Th in interplinian volcanics from Somma-Vesuvius volcano, Italy","docAbstract":"<p>We present a detailed isotopic study of volcanic rocks emitted from Somma-Vesuvius volcano during three periods of interplinian activity: \"Protohistoric\" (3550 y B.P. to 79 A.D.), \"Ancient Historic\" (79 to 472 A.D.) and \"Medieval\" (472 to 1631 A.D.). Pb isotopic compositions of two acid leached fractions and whole rock residues of 37 whole rock samples (determined by <i>Somma</i> et al., 2001) show that each of the three interplinian periods is distinguished by small, systematic, and unique uranogenic and thorogenic Pb isotopic trends. This key and novel feature is compatible with the notion that the Pb isotopic data reflect small-scale source heterogeneity operating over relatively short periods of time. From this representative group of samples, a selected set of nine whole rocks were analysed for Th isotopes. <sup>232</sup>Th/<sup>238</sup>U ratios in the source can be obtained independently from Pb and from Th isotopes. Those obtained from Pb isotopes represent source ratios, time-integrated over the whole age of the Earth; they range from 3.9 to 4.1. <sup>232</sup>Th/<sup>238</sup>U obtained from Th isotopes are those of the present source. They are lower, and cluster around 3.5; this difference probably indicates recent U enrichment of the present source. The behaviour of Pb, as inferred by its isotopic ratios, is quite distinct from that of Sr and Nd isotopes: Pb isotope variations are not correlated to Sr or Nd isotope variations. The isotopic contrast is compatible with the idea that the isotopes were decoupled during magmatic production, evolution, and ascent through the crust. Thus, the Pb isotopes do not reflect the effects of the same processes as in the case of the Sr and Nd isotopes, or, as we also favor, they do not necessarily reflect the same source contributions into the magmas. Moreover, the Pb isotopic evolution of the interplinian rocks chiefly reflects mixing, driven by processes that are superimposed on, and independent of, other source contributions that determine the isotopic compositions of Sr and Nd. We suggest that reactions between magmas and fluids transported Pb and U, but not Sr. These data show that isotope mixing in the mantle is active at different times and scales.&nbsp;</p>","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s00710-003-0023-3","usgsCitation":"Cortini, M., Ayuso, R., de Vivo, B., Holden, P., and Somma, R., 2004, Isotopic composition of Pb and Th in interplinian volcanics from Somma-Vesuvius volcano, Italy: Mineralogy and Petrology, v. 80, no. 1-2, p. 83-96, https://doi.org/10.1007/s00710-003-0023-3.","productDescription":"14 p.","startPage":"83","endPage":"96","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":238392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Somma-Vesuvius volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.360504150390625,\n              40.772221877329024\n            ],\n            [\n              14.508819580078125,\n              40.772221877329024\n            ],\n            [\n              14.508819580078125,\n              40.88029480552824\n            ],\n            [\n              14.360504150390625,\n              40.88029480552824\n            ],\n            [\n              14.360504150390625,\n              40.772221877329024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"80","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3f9de4b0c8380cd64676","contributors":{"authors":[{"text":"Cortini, M.","contributorId":16572,"corporation":false,"usgs":true,"family":"Cortini","given":"M.","email":"","affiliations":[],"preferred":false,"id":415029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayuso, R. A. 0000-0002-8496-9534","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":27079,"corporation":false,"usgs":true,"family":"Ayuso","given":"R. A.","affiliations":[],"preferred":false,"id":415031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Vivo, B.","contributorId":50549,"corporation":false,"usgs":false,"family":"de Vivo","given":"B.","affiliations":[],"preferred":false,"id":415032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, P.","contributorId":26075,"corporation":false,"usgs":true,"family":"Holden","given":"P.","email":"","affiliations":[],"preferred":false,"id":415030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Somma, R.","contributorId":72977,"corporation":false,"usgs":true,"family":"Somma","given":"R.","affiliations":[],"preferred":false,"id":415033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224943,"text":"5224943 - 2003 - Incorporating precision, accuracy and alternative sampling designs into a continental monitoring program for colonial waterbirds","interactions":[],"lastModifiedDate":"2012-02-02T00:15:32","indexId":"5224943","displayToPublicDate":"2010-06-16T12:18:48","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2963,"text":"Ornis Hungarica","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating precision, accuracy and alternative sampling designs into a continental monitoring program for colonial waterbirds","docAbstract":"A comprehensive monitoring program for colonial waterbirds in North America has never existed. At smaller geographic scales, many states and provinces conduct surveys of colonial waterbird populations. Periodic regional surveys are conducted at varying times during the breeding season using a variety of survey methods, which complicates attempts to estimate population trends for most species. The US Geological Survey Patuxent Wildlife Research Center has recently started to coordinate colonial waterbird monitoring efforts throughout North America. A centralized database has been developed with an Internet-based data entry and retrieval page. The extent of existing colonial waterbird surveys has been defined, allowing gaps in coverage to be identified and basic inventories completed where desirable. To enable analyses of comparable data at regional or larger geographic scales, sampling populations through statistically sound sampling designs should supersede obtaining counts at every colony. Standardized breeding season survey techniques have been agreed upon and documented in a monitoring manual. Each survey in the manual has associated with it recommendations for bias estimation, and includes specific instructions on measuring detectability. The methods proposed in the manual are for developing reliable, comparable indices of population size to establish trend information at multiple spatial and temporal scales, but they will not result in robust estimates of total population numbers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ornis Hungarica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"Proceeding of the Bird Numbers Conference, Nyiregyhaza, Hungary, 2001.  7069_Steinkamp.pdf","usgsCitation":"Steinkamp, M., Peterjohn, B., and Keisman, J., 2003, Incorporating precision, accuracy and alternative sampling designs into a continental monitoring program for colonial waterbirds: Ornis Hungarica, v. 12-13, p. 209-217.","productDescription":"209-217","startPage":"209","endPage":"217","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202184,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":17354,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://kornel.zool.klte.hu/pub/ornis/articles/OrnisHungarica_vol12-13_p209-217.pdf","linkFileType":{"id":1,"text":"pdf"}}],"volume":"12-13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fae4b07f02db5f4287","contributors":{"authors":[{"text":"Steinkamp, Melanie J. 0000-0001-9322-609X","orcid":"https://orcid.org/0000-0001-9322-609X","contributorId":101773,"corporation":false,"usgs":false,"family":"Steinkamp","given":"Melanie J.","affiliations":[],"preferred":false,"id":343231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterjohn, B.G.","contributorId":25255,"corporation":false,"usgs":true,"family":"Peterjohn","given":"B.G.","email":"","affiliations":[],"preferred":false,"id":343230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keisman, J.L.","contributorId":12161,"corporation":false,"usgs":true,"family":"Keisman","given":"J.L.","affiliations":[],"preferred":false,"id":343229,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":53187,"text":"wri034132 - 2003 - Development and calibration of a ground-water flow model for the Sparta Aquifer of southeastern Arkansas and north-central Louisiana and simulated response to withdrawals, 1998-2027","interactions":[],"lastModifiedDate":"2012-02-02T00:11:44","indexId":"wri034132","displayToPublicDate":"2004-09-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4132","title":"Development and calibration of a ground-water flow model for the Sparta Aquifer of southeastern Arkansas and north-central Louisiana and simulated response to withdrawals, 1998-2027","docAbstract":"The Sparta aquifer, which consists of the Sparta Sand, in southeastern Arkansas and north-central Louisiana is a major water resource and provides water for municipal, industrial, and agricultural uses. In recent years, the demand in some areas has resulted in withdrawals from the Sparta aquifer that substantially exceed replenishment of the aquifer. Considerable drawdown has occurred in the potentiometric surface forming regional cones of depression as water is removed from storage by withdrawals. These cones of depression are centered beneath the Grand Prairie area and the cities of Pine Bluff and El Dorado in Arkansas, and Monroe in Louisiana. The rate of decline for hydraulic heads in the aquifer has been greater than 1 foot per year for more than a decade in much of southern Arkansas and northern Louisiana where hydraulic heads are now below the top of the Sparta Sand. Continued hydraulic-head declines have caused water users and managers alike to question the ability of the aquifer to supply water for the long term. Concern over protecting the Sparta aquifer as a sustainable resource has resulted in a continued, cooperative effort by the Arkansas Soil and Water Conservation Commission, U.S. Army Corps of Engineers, and the U.S. Geological Survey to develop, maintain, and utilize numerical ground-water flow models to manage and further analyze the ground-water system. The work presented in this report describes the development and calibration of a ground-water flow model representing the Sparta aquifer to simulate observed hydraulic heads, documents major differences in the current Sparta model compared to the previous Sparta model calibrated in the mid-1980's, and presents the results of three hypothetical future withdrawal scenarios. \r\n\r\nThe current Sparta model-a regional scale, three-dimensional numerical ground-water flow model-was constructed and calibrated using available hydrogeologic, hydraulic, and water-use data from 1898 to 1997. Significant changes from the previous model include grid rediscretization of the aquifer, extension of the active model area northward beyond the Cane River Formation facies change, and representation of model boundaries. The current model was calibrated with the aid of parameter estimation, a nonlinear regression technique, combined with trial and error parameter adjustment using a total of 795 observations from 316 wells over 4 different years-1970, 1985, 1990, and 1997. The calibration data set provides broad spatial and temporal coverage of aquifer conditions. Analysis of the residual statistics, spatial distribution of residuals, simulated compared to observed hydrographs, and simulated compared to observed potentiometric surfaces were used to analyze the ability of the calibrated model to simulate aquifer conditions within acceptable error. The calibrated model has a root mean square error of 18 feet for all observations, an improvement of more than 12 feet from the previous model. \r\n\r\nThe current Sparta model was used to predict the effects of three hypothetical withdrawal scenarios on hydraulic heads over the period 1998-2027 with one of those extended indefinitely until equilibrium conditions were attained, or steady state. In scenario 1a, withdrawals representing the time period from 1990 to 1997 was held constant for 30 years from 1998 to 2027. Hydraulic heads in the middle of the cone of depression centered on El Dorado decreased by 10 feet from the 1997 simulation to 222 feet below NGVD of 1929 in 2027. Hydraulic heads in the Pine Bluff cone of depression showed a greater decline from 61 feet below NGVD of 1929 to 78 feet below NGVD of 1929 in the center of the cone. With these same withdrawals extended to steady state (scenario 1b), hydraulic heads in the Pine Bluff cone of depression center declined an 2 Development and Calibration of a Ground-Water Flow Model for the Sparta Aquifer of Southeastern Arkansas and North-Central Louisiana and Simulated Response to Withdrawa","language":"ENGLISH","doi":"10.3133/wri034132","usgsCitation":"McKee, P.W., and Clark, B.R., 2003, Development and calibration of a ground-water flow model for the Sparta Aquifer of southeastern Arkansas and north-central Louisiana and simulated response to withdrawals, 1998-2027: U.S. Geological Survey Water-Resources Investigations Report 2003-4132, vii, 71 p. : ill., maps (some col.) ; 28 cm. + 1 CD-ROM (4 3/4 in.), https://doi.org/10.3133/wri034132.","productDescription":"vii, 71 p. : ill., maps (some col.) ; 28 cm. + 1 CD-ROM (4 3/4 in.)","costCenters":[],"links":[{"id":4783,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034132/","linkFileType":{"id":5,"text":"html"}},{"id":120635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri_2003_4132.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6672a4","contributors":{"authors":[{"text":"McKee, Paul W.","contributorId":88792,"corporation":false,"usgs":true,"family":"McKee","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":246859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":246858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":48854,"text":"ofr0369 - 2003 - Work plan for determining the occurrence of glyphosate, its transformation product AMPA, other herbicide compounds, and antibiotics in midwestern United States streams, 2002","interactions":[],"lastModifiedDate":"2021-05-27T14:48:33.788147","indexId":"ofr0369","displayToPublicDate":"2003-07-01T00:00:00","publicationYear":"2003","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":"2003-69","title":"Work plan for determining the occurrence of glyphosate, its transformation product AMPA, other herbicide compounds, and antibiotics in midwestern United States streams, 2002","docAbstract":"<p>Changes in herbicide use in the Midwestern United States have been substantial over the last 5 years. Most significant is a tripling in the use of glyphosate (N-[phosphonomethyl]glycin). Over this same time period (1997&shy;2001), atrazine use increased by 20 percent and acetochlor use increased by 10 percent, while cyanazine use decreased by 99 percent, alachlor use decreased by 70 percent, and metolachlor use decreased by 55 percent. Previous studies have documented that herbicide flushes occur in midwestern streams during runoff events for several weeks to several months following application, and that herbicide concentrations in midwestern streams during flushing events are related to rates of herbicide use.</p>\n<p>The objective of this study is to determine the distribution of glyphosate and its primary transformation product aminomethylphosphonic acid (AMPA) in midwestern streams during post-application and harvest-season runoff events. Water samples will be collected in 2002 during two post-herbicide-application runoff events and one harvest-season runoff event from 53 sites on streams in the Midwestern United States. All samples will be analyzed at the U.S. Geological Survey Organic Geochemistry Research Laboratory in Lawrence, Kansas, for glyphosate and 20 other herbicides. Samples will also be analyzed for a glyphosate transformation product (AMPA) and 26 other herbicide transformation products, using GC/MS or HPLC/MS. Selected samples will be analyzed for 36 antibiotics or antibiotic transformational products. Results from this study will represent the first broad-scale investigation of glyphosate and AMPA in U.S. water resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr0369","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency Office of Pesticide Programs","usgsCitation":"Battaglin, W., Thurman, E., Kolpin, D., Scribner, E., Sandstrom, M.W., and Kuivila, K., 2003, Work plan for determining the occurrence of glyphosate, its transformation product AMPA, other herbicide compounds, and antibiotics in midwestern United States streams, 2002: U.S. Geological Survey Open-File Report 2003-69, iv, 18 p., https://doi.org/10.3133/ofr0369.","productDescription":"iv, 18 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":169926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4074,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr03069/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Midwest region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.28515625,\n              46.73986059969267\n            ],\n            [\n              -94.2626953125,\n              46.830133640447386\n            ],\n            [\n              -95.2734375,\n              45.89000815866182\n            ],\n            [\n              -96.328125,\n              44.9336963896947\n            ],\n            [\n              -96.5478515625,\n              43.42100882994726\n            ],\n            [\n              -96.1962890625,\n              41.60722821271717\n            ],\n            [\n              -100.2392578125,\n              40.78054143186031\n            ],\n            [\n              -100.6787109375,\n              39.977120098439634\n            ],\n            [\n              -94.6142578125,\n              38.51378825951165\n            ],\n            [\n              -88.11035156249999,\n              37.75334401310656\n            ],\n            [\n              -86.3525390625,\n              37.996162679728116\n            ],\n            [\n              -84.90234375,\n              38.993572058209466\n            ],\n            [\n              -82.7490234375,\n              38.376115424036016\n            ],\n            [\n              -81.9580078125,\n              38.685509760012\n            ],\n            [\n              -81.474609375,\n              39.198205348894795\n            ],\n            [\n              -82.5732421875,\n              41.37680856570233\n            ],\n            [\n              -83.583984375,\n              41.705728515237524\n            ],\n            [\n              -83.935546875,\n              42.13082130188811\n            ],\n            [\n              -84.7705078125,\n              42.09822241118974\n            ],\n            [\n              -85.6494140625,\n              41.508577297439324\n            ],\n            [\n              -86.748046875,\n              41.31082388091818\n            ],\n            [\n              -87.5830078125,\n              41.60722821271717\n            ],\n            [\n              -87.802734375,\n              42.13082130188811\n            ],\n            [\n              -87.9345703125,\n              43.100982876188546\n            ],\n            [\n              -87.6708984375,\n              43.83452678223682\n            ],\n            [\n              -88.8134765625,\n              45.9511496866914\n            ],\n            [\n              -89.4287109375,\n              46.22545288226939\n            ],\n            [\n              -90.8349609375,\n              46.619261036171515\n            ],\n            [\n              -92.28515625,\n              46.73986059969267\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","tableOfContents":"<p>Abstract<br />Introduction<br />&nbsp; &nbsp; &nbsp;Glyphosate Toxicity<br />&nbsp; &nbsp; &nbsp;Changes in Herbicide Use<br />&nbsp; &nbsp; &nbsp;Herbicide Transformation Products<br />&nbsp; &nbsp; &nbsp;Antibiotics in Streams<br />Work Plan<br />&nbsp; &nbsp; &nbsp;Objectives and Hypotheses<br />&nbsp; &nbsp; &nbsp;Sampling Sites<br />&nbsp; &nbsp; &nbsp;Sampling Schedule&nbsp;<br />&nbsp; &nbsp; &nbsp;Sampling Procedures.<br />&nbsp; &nbsp; &nbsp;Analytical Procedures<br />&nbsp; &nbsp; &nbsp;Quality Assurance<br />Data Analysis Methods and Reports<br />References Cited<br />Appendix</p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4786e4b07f02db485625","contributors":{"authors":[{"text":"Battaglin, W.A.","contributorId":16376,"corporation":false,"usgs":true,"family":"Battaglin","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":238434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurman, E.M.","contributorId":102864,"corporation":false,"usgs":true,"family":"Thurman","given":"E.M.","affiliations":[],"preferred":false,"id":238439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":238438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scribner, E.A.","contributorId":50925,"corporation":false,"usgs":true,"family":"Scribner","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":238437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":238435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuivila, K.M.","contributorId":34529,"corporation":false,"usgs":true,"family":"Kuivila","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":238436,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":69637,"text":"i2789 - 2003 - Map of surficial deposits and materials in the eastern and central United States (east of 102 degrees West longitude)","interactions":[],"lastModifiedDate":"2012-02-10T00:11:34","indexId":"i2789","displayToPublicDate":"2003-07-01T00:00:00","publicationYear":"2003","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":"2789","title":"Map of surficial deposits and materials in the eastern and central United States (east of 102 degrees West longitude)","docAbstract":"This data set contains surficial geologic units in the Eastern and Central \r\n      United States, as well as a glacial limit line showing the position of \r\n      maximum glacial advance during various geologic time periods.  The \r\n      geologic units represent surficial deposits and other surface materials \r\n      that accumulated or formed during the past 2+ million years, such as \r\n      soils, alluvium, and glacial deposits.  These surface materials are \r\n      referred to collectively by many geologists as regolith, the mantle of \r\n      fragmented and generally unconsolidated material that overlies the bedrock \r\n      foundation of a continent.   \r\n\r\n      This data set and the printed map produced from it, U.S. Geological Survey \r\n      (USGS) Geologic Investigation Series I-2789, were based on 31 published \r\n      maps in the USGS's Quaternary Geologic Atlas of the United States map \r\n      series (USGS Miscellaneous Investigations Series I-1420).  The data were \r\n      compiled at 1:1,000,000 scale, to be viewed as a digital map at \r\n      1:2,000,000 nominal scale and to be printed as a conventional paper map at \r\n      1:2,500,000 scale.","language":"ENGLISH","doi":"10.3133/i2789","isbn":"0607893699","usgsCitation":"Fullerton, D.S., Bush, C.A., and Pennell, J.N., 2003, Map of surficial deposits and materials in the eastern and central United States (east of 102 degrees West longitude): U.S. Geological Survey IMAP 2789, 1 map : col. ; 116 x 117 cm., on sheet 121 x 130 cm., folded in envelope 30 x 24 cm. + 1 pamphlet (46 p. ; 28 cm.), https://doi.org/10.3133/i2789.","productDescription":"1 map : col. ; 116 x 117 cm., on sheet 121 x 130 cm., folded in envelope 30 x 24 cm. + 1 pamphlet (46 p. ; 28 cm.)","costCenters":[],"links":[{"id":110437,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_55297.htm","linkFileType":{"id":5,"text":"html"},"description":"55297"},{"id":191705,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6290,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/i-2789/","linkFileType":{"id":5,"text":"html"}}],"scale":"2500000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102,24 ], [ -102,49 ], [ -67,49 ], [ -67,24 ], [ -102,24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a93e4b07f02db65828c","contributors":{"authors":[{"text":"Fullerton, David S. fullerton@usgs.gov","contributorId":448,"corporation":false,"usgs":true,"family":"Fullerton","given":"David","email":"fullerton@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":280777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bush, Charles A. cbush@usgs.gov","contributorId":1258,"corporation":false,"usgs":true,"family":"Bush","given":"Charles","email":"cbush@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":280778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pennell, Jean N.","contributorId":107793,"corporation":false,"usgs":true,"family":"Pennell","given":"Jean","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":280779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70025737,"text":"70025737 - 2003 - Geographic analysis and monitoring at the United States Geological Survey","interactions":[],"lastModifiedDate":"2012-03-12T17:20:23","indexId":"70025737","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Geographic analysis and monitoring at the United States Geological Survey","docAbstract":"The Geographic Analysis and Monitoring (GAM) Program of the U.S. Geological Survey assesses the Nation's land surface at a variety of spatial and temporal scales to understand the rates, causes, and consequences of natural and human-induced processes and their interactions that affect the landscape over time. The program plays an important role in developing National Map tools and application. The GAM is a science and synthesis program that not only assesses the rates of changes to the Earth's land surface, but also provides reports on the status and trends of the Nation's land resources on a periodic basis, produces a land-use and land- cover database for the periodically updated map and data set-the Geographic Face of the Nation, and conducts research leading to improved understanding and knowledge about geographic processes. Scientific investigations provide comprehensive information needed to understand the environmental, resource, and economic consequences of landscape change. These analyses responds to the needs of resource managers and offers the American public baseline information to help them understand the dynamic nature of our national landscape and to anticipate the opportunities and consequences of our actions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cartography and Geographic Information Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1559/152304003100011036","issn":"15230406","usgsCitation":"Findley, J., 2003, Geographic analysis and monitoring at the United States Geological Survey: Cartography and Geographic Information Science, v. 30, no. 2, p. 203-210, https://doi.org/10.1559/152304003100011036.","startPage":"203","endPage":"210","numberOfPages":"8","costCenters":[],"links":[{"id":208650,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1559/152304003100011036"},{"id":234533,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1759e4b0c8380cd55495","contributors":{"authors":[{"text":"Findley, J.","contributorId":35923,"corporation":false,"usgs":true,"family":"Findley","given":"J.","email":"","affiliations":[],"preferred":false,"id":406379,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70024899,"text":"70024899 - 2003 - Rockfall hazard and risk assessment in the Yosemite Valley, California, USA","interactions":[],"lastModifiedDate":"2013-02-21T20:48:52","indexId":"70024899","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rockfall hazard and risk assessment in the Yosemite Valley, California, USA","docAbstract":"Rock slides and rock falls are the most frequent types of slope movements in Yosemite National Park, California. In historical time (1857-2002) 392 rock falls and rock slides have been documented in the valley, and some of them have been mapped in detail. We present the results of an attempt to assess rock fall hazards in the Yosemite Valley. Spatial and temporal aspects of rock falls hazard are considered. A detailed inventory of slope movements covering the 145-year period from 1857 to 2002 is used to determine the frequency-volume statistics of rock falls and to estimate the annual frequency of rock falls, providing the temporal component of rock fall hazard. The extent of the areas potentially subject to rock fall hazards in the Yosemite Valley were obtained using STONE, a physically-based rock fall simulation computer program. The software computes 3-dimensional rock fall trajectories starting from a digital elevation model (DEM), the location of rock fall release points, and maps of the dynamic rolling friction coefficient and of the coefficients of normal and tangential energy restitution. For each DEM cell the software calculates the number of rock falls passing through the cell, the maximum rock fall velocity and the maximum flying height. For the Yosemite Valley, a DEM with a ground resolution of 10 ?? 10 m was prepared using topographic contour lines from the U.S. Geological Survey 1:24 000-scale maps. Rock fall release points were identified as DEM cells having a slope steeper than 60??, an assumption based on the location of historical rock falls. Maps of the normal and tangential energy restitution coefficients and of the rolling friction coefficient were produced from a surficial geologic map. The availability of historical rock falls mapped in detail allowed us to check the computer program performance and to calibrate the model parameters. Visual and statistical comparison of the model results with the mapped rock falls confirmed the accuracy of the model. The model results are compared with a previous map of rockfall talus and with a geomorphic assessment of rock fall hazard based on potential energy referred to as a shadow angle approach, recently completed for the Yosemite Valley. The model results are then used to identify the roads and trails more subject to rock fall hazard. Of the 166.5 km of roads and trails in the Yosemite Valley 31.2% were found to be potentially subject to rock fall hazard, of which 14% are subject to very high hazard. ?? European Geosciences Union 2003.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards and Earth System Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-3-491-2003","issn":"15618633","usgsCitation":"Guzzetti, F., Reichenbach, P., and Wieczorek, G.F., 2003, Rockfall hazard and risk assessment in the Yosemite Valley, California, USA: Natural Hazards and Earth System Sciences, v. 3, no. 6, p. 491-503, https://doi.org/10.5194/nhess-3-491-2003.","startPage":"491","endPage":"503","numberOfPages":"13","costCenters":[],"links":[{"id":478494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-3-491-2003","text":"Publisher Index Page"},{"id":233217,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267922,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/nhess-3-491-2003"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2003-12-31","publicationStatus":"PW","scienceBaseUri":"505aae0fe4b0c8380cd87005","contributors":{"authors":[{"text":"Guzzetti, F.","contributorId":46732,"corporation":false,"usgs":true,"family":"Guzzetti","given":"F.","email":"","affiliations":[],"preferred":false,"id":403048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reichenbach, P.","contributorId":61988,"corporation":false,"usgs":true,"family":"Reichenbach","given":"P.","email":"","affiliations":[],"preferred":false,"id":403050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieczorek, G. F.","contributorId":50143,"corporation":false,"usgs":true,"family":"Wieczorek","given":"G.","middleInitial":"F.","affiliations":[],"preferred":false,"id":403049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70026051,"text":"70026051 - 2003 - Correlation of climate cycles in middle Mississippi Valley loess and Greenland ice","interactions":[],"lastModifiedDate":"2021-08-04T18:08:25.06341","indexId":"70026051","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Correlation of climate cycles in middle Mississippi Valley loess and Greenland ice","docAbstract":"<p><span>Two complete late Wisconsin loess successions in the middle Mississippi River Valley reveal 39 and 41 alternating paleosol A- and C-horizons. Striking changes in soil color, iron content, and carbonate content define four major and two minor paleosol A-horizon complexes, which were interpreted to represent Wisconsin interstadials 1, 2, 3, 4, and semiinterstadials 1.5 and 2.5, respectively. The timing of Wisconsin interstadials matches that of corresponding Greenland interstadials. Midcontinent loess and Greenland ice records as well as rates of atmospheric&nbsp;</span><sup>14</sup><span>C production have periodicities in common, suggesting a solar influence. Only a persistent heat and moisture supply could produce prominent paleosol complexes near the continental ice margin. This record suggests that El Niño–Southern Oscillation variability has amplified solar forcing, and resultant tropical heat and moisture transport played a significant role in millennial- and centennial-scale climate cycles during the late Wisconsin glaciation over the Northern Hemisphere.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/0091-7613(2003)031<0179:COCCIM>2.0.CO;2","issn":"00917613","usgsCitation":"Wang, H., Hughes, R., Steele, J., Lepley, S., and Tian, J., 2003, Correlation of climate cycles in middle Mississippi Valley loess and Greenland ice: Geology, v. 31, no. 2, p. 179-182, https://doi.org/10.1130/0091-7613(2003)031<0179:COCCIM>2.0.CO;2.","productDescription":"4 p.","startPage":"179","endPage":"182","costCenters":[],"links":[{"id":387690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fc36e4b0c8380cd4e1a0","contributors":{"authors":[{"text":"Wang, Hongfang","contributorId":92635,"corporation":false,"usgs":true,"family":"Wang","given":"Hongfang","email":"","affiliations":[],"preferred":false,"id":407711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, R.E.","contributorId":84497,"corporation":false,"usgs":true,"family":"Hughes","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":407709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, J.D.","contributorId":22093,"corporation":false,"usgs":true,"family":"Steele","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":407708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lepley, S.W.","contributorId":85851,"corporation":false,"usgs":true,"family":"Lepley","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":407710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tian, J.","contributorId":18516,"corporation":false,"usgs":true,"family":"Tian","given":"J.","email":"","affiliations":[],"preferred":false,"id":407707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":53189,"text":"wri20034156 - 2003 - Environmental Setting and the Effects of Natural and Human-Related Factors on Water Quality and Aquatic Biota, Oahu, Hawaii","interactions":[],"lastModifiedDate":"2012-03-08T17:16:17","indexId":"wri20034156","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4156","title":"Environmental Setting and the Effects of Natural and Human-Related Factors on Water Quality and Aquatic Biota, Oahu, Hawaii","docAbstract":"The island of Oahu is the third largest island of the State of Hawaii, and is formed by the eroded remnants of the Waianae and Koolau shield volcanoes. The landscape of Oahu ranges from a broad coastal plain to steep interior mountains. Rainfall is greatest in the mountainous interior parts of the island, and lowest near the southwestern coastal areas. \r\n\r\nThe structure and form of the two volcanoes in conjunction with processes that have modified the original surfaces of the volcanoes control the hydrologic setting. The rift zones of the volcanoes contain dikes that tend to impede the flow of ground water, leading to high ground-water levels in the dike-impounded ground-water system. In the windward (northeastern) part of the island, dike-impounded ground-water levels may reach the land surface in stream valleys, resulting in ground-water discharge to streams. Where dikes are not present, the volcanic rocks are highly permeable, and a lens of freshwater overlies a brackish-water transition zone separating the freshwater from saltwater. Ground water discharges to coastal springs and streams where the water table in the freshwater-lens system intersects the land surface. \r\n\r\nThe Waianae and Koolau Ranges have been deeply dissected by numerous streams. Streams originate in the mountainous interior areas and terminate at the coast. Some streams flow perennially throughout their entire course, others flow perennially over parts of their course, and the remaining streams flow during only parts of the year throughout their entire course. \r\n\r\nHawaiian streams have relatively few native species compared to continental streams. Widespread diverse orders of insects are absent from the native biota, and there are only five native fish, two native shrimp, and a few native snails. The native fish and crustaceans of Hawaii's freshwater systems are all amphidromous (adult lives are spent in streams, and larval periods as marine or estuarine zooplankton).\r\n\r\nDuring the 20th century, land-use patterns on Oahu reflected increases in population and decreases in large-scale agricultural operations over time. The last two remaining sugarcane plantations on Oahu closed in the mid-1990's, and much of the land that once was used for sugarcane now is urbanized or used for diversified agriculture. Although two large pineapple plantations continue to operate in central Oahu, some of the land previously used for pineapple cultivation has been urbanized. \r\n\r\nNatural and human-related factors control surface- and ground-water quality and the distribution and abundance of aquatic biota on Oahu. Natural factors that may affect water quality include geology, soils, vegetation, rainfall, ocean-water quality, and air quality. Human-related factors associated with urban and agricultural land uses also may affect water quality. Ground-water withdrawals may cause saltwater intrusion. Pesticides and fertilizers that were used in agricultural or urban areas have been detected in surface and ground water on Oahu. In addition, other organic compounds associated with urban uses of chemicals have been detected in surface and ground water on Oahu. \r\n\r\nThe effects of urbanization and agricultural practices on instream and riparian areas in conjunction with a proliferation of nonnative fish and crustaceans have resulted in a paucity of native freshwater macrofauna on Oahu. A variety of pesticides, nutrients, and metals are associated with urban and agricultural land uses, and these constituents can affect the fish and invertebrates that live in the streams.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/wri20034156","collaboration":"Prepared in cooperation with the National Water-Quality Assessment Program","usgsCitation":"Oki, D.S., and Brasher, A., 2003, Environmental Setting and the Effects of Natural and Human-Related Factors on Water Quality and Aquatic Biota, Oahu, Hawaii: U.S. Geological Survey Water-Resources Investigations Report 2003-4156, vi, 98 p., https://doi.org/10.3133/wri20034156.","productDescription":"vi, 98 p.","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":4785,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034156/","linkFileType":{"id":5,"text":"html"}},{"id":174045,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db60256d","contributors":{"authors":[{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":246866,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53137,"text":"wri034113 - 2003 - Relations between precipitation and daily and monthly mean flows in gaged, unmined and valley-filled watersheds, Ballard Fork, West Virginia, 1999-2001","interactions":[],"lastModifiedDate":"2012-02-02T00:11:44","indexId":"wri034113","displayToPublicDate":"1994-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4113","title":"Relations between precipitation and daily and monthly mean flows in gaged, unmined and valley-filled watersheds, Ballard Fork, West Virginia, 1999-2001","docAbstract":"Large-scale surface mining using valley fills has changed hydrologic storage and processes in the Ballard Fork Watershed in West Virginia. Total unit flow for the 2-year study period (November 15, 1999?November 14, 2001) on the Unnamed Tributary (extensively mined) (11,700 cubic feet per second per square mile) was almost twice that on Spring Branch (unmined) (6,260 cubic feet per second per square mile), and about 1.75 times that on Ballard Fork (downstream, partly mined) (6,690 cubic feet per second per square mile). Unit flow from the Unnamed Tributary exceeded that from the other two streams for all flows analyzed (5?95 percent duration). Unit flow from Ballard Fork exceeded unit flow from Spring Branch about 80 percent of the time, but was about the same for high flows (less than 20 percent duration). The proportional differences among sites were greatest at low flows. Spring Branch was dry for several days in October and November 2000 and for most of October 2001, and the Unnamed Tributary had flow throughout the study period.\r\n\r\nThe increase in flows from mined parts of the Ballard Fork Watershed appears to result from decreases in evapotranspiration caused by removal of trees and soil during mining. During both years, evapotranspiration from the Spring Branch Watershed greatly exceeded that from the Unnamed Tributary Watershed during May through October, when leaves were open. Evapotranspiration from the Unnamed Tributary Watershed slightly exceeded that from the Spring Branch Watershed in February and March during both years. Evapotranspiration, as a percentage of total rainfall, decreased from the first to the second, drier, year from the Unnamed Tributary Watershed (from 61 percent to 49 percent) but changed little from the Spring Branch (from 77 to 76 percent) and Ballard Fork (73 to 76 percent) Watersheds. \r\n\r\nPrecipitation and flow during the study period at three nearby long-term sites, the U.S. Geological Survey stream-gaging station East Fork Twelvepole Creek near Dunlow, West Virginia, and two National Oceanic Atmospheric Administration rain gages at Madison and Dunlow, West Virginia, were less than long-term annual averages. Relations observed among the three streams in the Ballard Fork Watershed during this study may not represent those in years when annual precipitation and flow are closer to long-term averages.","language":"ENGLISH","doi":"10.3133/wri034113","usgsCitation":"Messinger, T., and Paybins, K.S., 2003, Relations between precipitation and daily and monthly mean flows in gaged, unmined and valley-filled watersheds, Ballard Fork, West Virginia, 1999-2001: U.S. Geological Survey Water-Resources Investigations Report 2003-4113, iv, 51 p. : ill., maps ; 28 cm., https://doi.org/10.3133/wri034113.","productDescription":"iv, 51 p. : ill., maps ; 28 cm.","costCenters":[],"links":[{"id":4716,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034113/","linkFileType":{"id":5,"text":"html"}},{"id":177147,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ee4b07f02db6153df","contributors":{"authors":[{"text":"Messinger, Terence 0000-0003-4084-9298 tmessing@usgs.gov","orcid":"https://orcid.org/0000-0003-4084-9298","contributorId":2717,"corporation":false,"usgs":true,"family":"Messinger","given":"Terence","email":"tmessing@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paybins, Katherine S. 0000-0002-3967-5043 kpaybins@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-5043","contributorId":2805,"corporation":false,"usgs":true,"family":"Paybins","given":"Katherine","email":"kpaybins@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246733,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":50567,"text":"ofr02455 - 2002 - User guide for the PULSE program","interactions":[],"lastModifiedDate":"2012-02-02T00:11:17","indexId":"ofr02455","displayToPublicDate":"2003-02-01T00:00:00","publicationYear":"2002","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":"2002-455","title":"User guide for the PULSE program","docAbstract":"This manual describes the use of the PULSE computer program for analysis of streamflow records. The specific instructions included here and the computer files that accompany this manual require streamflow data in a format that can be obtained from U.S. Geological Survey (USGS) sites on the World Wide Web. The program is compiled to run on a personal computer that uses a Microsoft Windows-based operating system. This manual provides instructions for use of Microsoft Excel for plotting hydrographs, though users may choose to use other software for plotting. The program calculates a hydrograph of ground-water discharge to a stream on the basis of user-specified recharge to the water table. Two different formulations allow recharge to be treated as instantaneous quantities or as gradual rates. The process of ground-water evapotranspiration can be approximated as a negative gradual recharge. The PULSE program is intended for analyzing a ground-water-flow system that is characterized by diffuse areal recharge to the water table and ground-water discharge to a stream. Program use can be appropriate if all or most ground water in the basin discharges to the stream and if a streamflow-gaging station at the downstream end of the basin measures all or most outflow. Ground-water pumpage and the regulation and diversion of streamflow should be negligible. More information about the application of the method is included in Rutledge, 1997, pages 2-3. The program can be used in conjunction with ground-water-level data. If a well is open to the surficial aquifer, observed water-level rises in the well can be used to evaluate the timing of recharge. Such evaluation is most effective if there are numerous water-level observation wells in the basin. Water levels in observation wells can also be used to evaluate the rate of ground-water discharge estimated by the PULSE program. The results of such an evaluation may be problematic, however, because the relation between ground-water level and ground-water discharge may not be unique. Departures from the linear model of recession occur because of areal variation in transmissivity and because of the longitudinal component of ground-water flow (parallel to the stream). If the PULSE program is used to estimate ground-water recharge, the recession index should not be obtained from periods of extreme low flow, and the calibration process should include plotting flow on the linear scale in addition to plotting flow on the log scale.","language":"ENGLISH","doi":"10.3133/ofr02455","usgsCitation":"Rutledge, A.T., 2002, User guide for the PULSE program: U.S. Geological Survey Open-File Report 2002-455, p. 34, illus., 16 refs, https://doi.org/10.3133/ofr02455.","productDescription":"p. 34, illus., 16 refs","costCenters":[],"links":[{"id":175490,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4377,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/ofr02-455/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e486ce4b07f02db50b72e","contributors":{"authors":[{"text":"Rutledge, A. T.","contributorId":38532,"corporation":false,"usgs":true,"family":"Rutledge","given":"A.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":241850,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":50508,"text":"ofr02316 - 2002 - Physical data of soil profiles formed on late Quaternary marine terraces near Santa Cruz, California","interactions":[],"lastModifiedDate":"2014-03-11T10:32:31","indexId":"ofr02316","displayToPublicDate":"2002-11-01T00:00:00","publicationYear":"2002","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":"2002-316","title":"Physical data of soil profiles formed on late Quaternary marine terraces near Santa Cruz, California","docAbstract":"The marine terraces in and around Santa Cruz, California, represent a set of well-preserved terraces formed as a product of geology, sea level, and climate. A marine terrace begins as a wave cut platform. Eustatic sea level changes, seacliff erosion, and tectonic uplift work together to generate marine terraces. \"When a wave-cut platform is raised (due to tectonic activity) above sea level and cliffed by wave action it becomes a marine terrace\" (Bradley, 1957, p. 424). During glacial periods, eustatic sea level is estimated to have dropped by 150 meters (Fairbanks, 1989). Cliff retreat measured from aerial photographs between 1930 and 1980 vary from 0.0 to 0.2 m yr–1 (Best and Griggs, 1991). Estimates of uplift rates along the Santa Cruz coastline vary from 0.10 to 0.48 m kyr–1 (Bradley and Griggs, 1976; Weber and others, 1999). Uplift mechanisms include coseismic uplift associated both with a reverse component of slip on the steeply SW dipping Loma Prieta fault in the restraining bend of the San Andreas Fault and a small component of reverse slip on the steeply SE dipping San Gregorio fault (Anderson and Menking 1994). Previous work studying physical properties on these terraces include Pinney and others (in press) and Aniku (1986) and Bowman and Estrada (1980).\n\nSedimentary deposits of the marine terraces are a mixture of terrestrial and marine sediments but generally consist of a sheet of marine deposits overlying the old platform and a wedge of nonmarine deposits banked against the old sea cliff (Bradley, 1957). Bedrock underlying the terraces in the Santa Cruz area is generally either Santa Margarita Sandstone or Santa Cruz Mudstone. The Santa Margarita Sandstone represents an upper Miocene, transgressive, tidally dominated marine-shelf deposit with crossbedded sets of sand and gravel and horizontally stratified and bioturbated invertebrate-fossils beds (Phillips, 1990). The siliceous Santa Cruz Mudstone, of late Miocene age, conformably overlies the Santa Margarita Sandstone. The Santa Cruz Mudstone is a thin to medium-bedded siliceous mudstone with nonsiliceous mudstone and siltstone and minor amounts of sandstone. The siliceous nature implies organic deposition in a quiescent, deep-water environment. Bedrock is mantled by 1–4 meters of medium to coarse-grained regressive beach sediment and fluvial deposits from the Ben Lomond Mountains.\n\nTerrace age increases with elevation above sea level, and weathering of primary minerals increases with age. The suite of soils formed on the terraces is referred to as a soil chronosequence. Soil chronosequences, important tools in characterizing natural weathering rates, are defined as a group of soils that differ in age and therefore in duration of weathering but have similar climatic conditions, vegetation, geomorphic position, and parent material (Jenny, 1941; Birkland, 1999). Soils are frequently useful indicators of geomorphic age (Muhs, 1982; Switzer and others, 1988) and are a function of pedogenic and/or eolian processes. Some aspects of soil development can be episodic but when viewed on large time scales can be perceived as continuous (Switzer and others, 1988).\n\nThe age of the soil may be constrained by the age of the deposit, since soil formation generally commences when deposition has ceased (Birkland, 1999). Dating of the terraces provides an unprecedented opportunity to study weathering and soil-formation rates (Perg and others, 2001; Hanks and others, 1984; Bradley and Griggs, 1976; Bradley and Addicott, 1968; Bradley, 1956). Ages of the terraces recently dated by cosmogenic radionuclide are, starting with the youngest, 65, 92, 137, 139, and 226 k.y. (Perg and others, 2001). However, these ages are much younger than recent radiometric dates on mollusk shells (Muhs, U.S. Geological Survey, personal communication, 2002; Bradley and Addicott, 1968).\n\nFor this study, soils were sampled on five terraces. Terrace one in the Lighthouse Field along Westcliff in Santa Cruz was the last site selected, and this report contains minimal data on this terrace. Sites on the second, third, and fourth terraces are located in Wilder Ranch, Santa Cruz, California. Site five is on private property north of Wilder Ranch. Careful consideration was taken in selecting field sites, choosing locations in a topographically flat area to avoid effects of erosion, and trying to keep parent material similar.\n\nThis report contains physical properties of the soil profiles on four of the five marine terraces near Santa Cruz, California, excluding the youngest terrace in all tables except 6 and 7. Data includes field descriptions, bulk density, grain size analyses, weight percent magnetic fraction, and the soil development index. Soil properties are important when trying to understand the chemistry of a given profile or when comparing profiles. Grain size constrains the movement of water in a profile, thus controlling movement of chemicals and weathering rates. Bulk density is a useful property to calculate chemical inventory. Quantifying the magnetic fraction aids in understanding the Fe inventory for these soils. The soil development index is a semi-quantitative way to define the degree of development of a soil profile. This is a useful way to compare development of profiles for this chronosequence or compare the Santa Cruz terraces to a suit of other terraces or another chronosequence.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr02316","usgsCitation":"Munster, J., and Harden, J.W., 2002, Physical data of soil profiles formed on late Quaternary marine terraces near Santa Cruz, California: U.S. Geological Survey Open-File Report 2002-316, https://doi.org/10.3133/ofr02316.","numberOfPages":"28","costCenters":[{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true}],"links":[{"id":176760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr02316.jpg"},{"id":4320,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2002/0316/","linkFileType":{"id":5,"text":"html"}},{"id":283805,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2002/0316/pdf/of02-316.pdf"}],"country":"United States","state":"California","city":"Santa Cruz","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.272163,36.948015 ], [ -122.272163,37.117419 ], [ -121.923048,37.117419 ], [ -121.923048,36.948015 ], [ -122.272163,36.948015 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685b81","contributors":{"authors":[{"text":"Munster, Jennie","contributorId":107364,"corporation":false,"usgs":true,"family":"Munster","given":"Jennie","email":"","affiliations":[],"preferred":false,"id":241639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":241638,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":69316,"text":"mf2398 - 2002 - Map Showing Seacliff Response to Climatic and Seismic Events, Depot Hill, Santa Cruz County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:22","indexId":"mf2398","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2398","title":"Map Showing Seacliff Response to Climatic and Seismic Events, Depot Hill, Santa Cruz County, California","docAbstract":"INTRODUCTION\r\n\r\nThe coastal cliffs along much of the central California coast are actively retreating. Large storms and periodic earthquakes are responsible for most of the documented seacliff slope failures. Long-term average erosion rates calculated for this section of coast (Moore and others, 1999) do not provide the spatial or temporal data resolution necessary to identify the processes responsible for retreat of the seacliffs, where episodic retreat threatens homes and community infrastructure. Research suggests that more erosion occurs along the California coast over a short time scale, during periods of severe storms or seismic activity, than occurs during decades of normal weather or seismic quiescence (Griggs and Scholar, 1998; Griggs, 1994; Plant and Griggs, 1990; Griggs and Johnson, 1979 and 1983; Kuhn and Shepard, 1979).\r\n\r\nThis is the first map in a series of maps documenting the processes of short-term seacliff retreat through the identification of slope failure styles, spatial variability of failures, and temporal variation in retreat amounts in an area that has been identified as an erosion hotspot (Moore and others, 1999; Griggs and Savoy, 1985). This map presents seacliff failure and retreat data from Depot Hill, California, which is located five kilometers east of Santa Cruz (fig.1) near the town of Capitola, along the northern Monterey Bay coast. The data presented in this map series provide high-resolution spatial and temporal information on the location, amount, and processes of seacliff retreat in Santa Cruz, California. These data show the response of the seacliffs to both large magnitude earthquakes and severe climatic events such as El NiOos; this information may prove useful in predicting the future response of the cliffs to events of similar magnitude. The map data can also be incorporated into Global Information System (GIS) for use by researchers and community planners.\r\n\r\nFour sets of vertical aerial photographs (Oct. 18, 1989; Jan. 27, 1998; Feb. 9, 1998; and March 6, 1998) were orthorectified and digital terrain models (DTMs) were generated and edited for this study (see Hapke and Richmond, 2000, for description of techniques). The earliest set of photography is from 1989, taken immediately following the Loma Prieta earthquake. These photographs are used to document the response of the seacliffs to seismic shaking, as well as to establish an initial cliff-edge position to measure the amount of retreat of the cliff edge over the following decade. The remaining three sets of photographs were collected using the U.S. Geological Survey Coastal Aerial Mapping System (CAMS) during the 1997-98 El NiOo (see Hapke and Richmond, 1999, 2000). The CAMS photographs were taken before, during, and after severe storms and are used to examine seacliff response to these storms. In addition to the analyses of photogrammetrically processed data, field mapping identified joints, faults, and lithologic variations along this section of seacliff.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/mf2398","usgsCitation":"Hapke, C.J., Richmond, B.M., and D’Iorio, M.M., 2002, Map Showing Seacliff Response to Climatic and Seismic Events, Depot Hill, Santa Cruz County, California: U.S. Geological Survey Miscellaneous Field Studies Map 2398, Map: 54 x 34 inches, https://doi.org/10.3133/mf2398.","productDescription":"Map: 54 x 34 inches","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":110347,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52328.htm","linkFileType":{"id":5,"text":"html"},"description":"52328"},{"id":187616,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9549,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2002/2398/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.91777777777779,35.967777777777776 ], [ -122.91777777777779,36.966944444444444 ], [ -121.93388888888889,36.966944444444444 ], [ -121.93388888888889,35.967777777777776 ], [ -122.91777777777779,35.967777777777776 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b065","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":280060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":280059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Iorio, Mimi M.","contributorId":45003,"corporation":false,"usgs":true,"family":"D’Iorio","given":"Mimi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":280061,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69318,"text":"mf2400 - 2002 - Map Showing Seacliff Response to Climatic and Seismic Events, Seabright Beach, Santa Cruz County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:22","indexId":"mf2400","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2400","title":"Map Showing Seacliff Response to Climatic and Seismic Events, Seabright Beach, Santa Cruz County, California","docAbstract":"Introduction\r\n\r\nThe coastal cliffs along much of the central California coast are actively retreating. Large storms and periodic earthquakes are responsible for most of the documented sea cliff slope failures. Long-term average erosion rates calculated for this section of coast do not provide the spatial or temporal data resolution necessary to identify the processes responsible for retreat of the sea cliffs where episodic retreat threatens homes and community infrastructure. Research suggests that more erosion occurs along the California coast over a short time scale, during periods of severe storms or seismic activity, than occurs during decades of normal weather or seismic quiescence.\r\n\r\nThis is the third map in a series of maps prepared to document the processes of short-term sea cliff retreat through the identification of slope failure styles, spatial variability of failures, and temporal variation in retreat amounts in an area that has been identified as an erosion hotspot. This map presents sea cliff failure and retreat data from the Seabright Beach section, California, which is located on the east side of Santa Cruz along the northern Monterey Bay coast. The data presented in this map series provide high-resolution spatial and temporal information on the location, amount, and processes of sea cliff retreat in Santa Cruz, California. These data show the response of the sea cliffs to both large magnitude earthquakes and severe climatic events such as El Ni?os; this information may prove useful in predicting the future response of the cliffs to events of similar magnitude. The map data can also be incorporated into Global Information System (GIS) for use by researchers and community planners. During this study we developed a method for investigating short-term processes of sea cliff evolution using rectified photographic stereo models. This method allows us to document the linear extent of cliff failures, the spatial and temporal relationship between failures, and the type or style of slope failure.\r\n\r\nSeabright Beach extends 0.9 km from San Lorenzo Point on the west to the Santa Cruz Yacht Harbor on the east. The cliffs at Seabright Beach are completely protected from wave attack by a wide beach. The protective beach is a relatively recent feature that formed after the emplacement of the Santa Cruz Yacht Harbor jetty in 1963-1964. Prior to the completion of the jetty, the cliffs at Seabright Beach were subject to daily wave attack. The data in this study are post-jetty construction; therefore, the sea cliff failures and cliff retreat are the result of nonmarine processes (rainfall, groundwater and seismic shaking). The 8 to 15 m high cliffs at Seabright Beach are composed of the Miocene to Pliocene Purisima Formation, which is overlain by unconsolidated Pleistocene terrace deposits. The relative thickness of these units varies along the length of the cliff. At the west end of Seabright Beach, including San Lorenzo Point, nearly the entire cliff section is composed of Purisima Formation and is capped by less than 2 m of terrace deposits. In this exposure, the Purisima Formation is a moderately weathered, moderately indurated massive sandstone. The height of the cliffs and the thickness of the Purisima Formation decrease to the east. In the cliffs immediately adjacent to the harbor, the entire exposure is composed of terrace deposits. Toe-slope debris and wind-blown sand form a nearly continuous fan along the cliff base that obscure the lower portion of the cliff.\r\n\r\nThis study documents the impacts of earthquakes and large storms to the sea cliffs in the Seabright Beach section. The first event is the 1989 Loma Prieta earthquake, a M7.1 earthquake that caused widespread damage to the area stretching from Santa Cruz to the San Francisco Bay. The epicenter of the earthquake was located in the Santa Cruz Mountains, approximately 9 km inland from the coast. Extensive block and debris falls, induced by the seismic shaking, occ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/mf2400","usgsCitation":"Hapke, C.J., Richmond, B.M., and D’Iorio, M.M., 2002, Map Showing Seacliff Response to Climatic and Seismic Events, Seabright Beach, Santa Cruz County, California: U.S. Geological Survey Miscellaneous Field Studies Map 2400, Map: 58 x 37 inches, https://doi.org/10.3133/mf2400.","productDescription":"Map: 58 x 37 inches","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":110349,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52330.htm","linkFileType":{"id":5,"text":"html"},"description":"52330"},{"id":187806,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9545,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2002/2400/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,36.950833333333335 ], [ -122,36.966944444444444 ], [ -121.98388888888888,36.966944444444444 ], [ -121.98388888888888,36.950833333333335 ], [ -122,36.950833333333335 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a85e4b07f02db64d2fe","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":280066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":280065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Iorio, Mimi M.","contributorId":45003,"corporation":false,"usgs":true,"family":"D’Iorio","given":"Mimi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":280067,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69317,"text":"mf2399 - 2002 - Map Showing Seacliff Response to Climatic and Seismic Events, Seacliff State Beach, Santa Cruz County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:22","indexId":"mf2399","displayToPublicDate":"2002-09-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2399","title":"Map Showing Seacliff Response to Climatic and Seismic Events, Seacliff State Beach, Santa Cruz County, California","docAbstract":"INTRODUCTION\r\n\r\nThe coastal cliffs along much of the central California coast are actively retreating. Large storms and periodic earthquakes are responsible for most of the documented seacliff slope failures. Long-term average erosion rates calculated for this section of coast (Moore and others, 1999) do not provide the spatial or temporal data resolution necessary to identify the processes responsible for retreat of the seacliffs, where episodic retreat threatens homes and community infrastructure. Research suggests that more erosion occurs along the California coast over a short time scale, during periods of severe storms or seismic activity, than occurs during decades of normal weather or seismic quiescence (Griggs and Scholar, 1998; Griggs, 1994; Plant and Griggs, 1990; Griggs and Johnson, 1979 and 1983; Kuhn and Shepard, 1979).\r\n\r\nThis is the second map in a series of maps documenting the processes of short-term seacliff retreat through the identification of slope failure styles, spatial variability of failures, and temporal variation in retreat amounts in an area that has been identified as an erosion hotspot (Moore and others, 1999; Griggs and Savoy, 1985). This map presents seacliff failure and retreat data from Seacliff State Beach, California, which is located seven kilometers east of Santa Cruz (fig. 1) along the northern Monterey Bay coast. The data presented in this map series provide high-resolution spatial and temporal information on the location, amount, and processes of seacliff retreat in Santa Cruz, California. These data show the response of the seacliffs to both large magnitude earthquakes and severe climatic events such as El Ni?os; this information may prove useful in predicting the future response of the cliffs to events of similar magnitude. The map data can also be incorporated into Global Information System (GIS) for use by researchers and community planners.\r\n\r\nFour sets of vertical aerial photographs (Oct. 18, 1989; Jan. 27, 1998; Feb. 9, 1998; and March 6, 1998) were orthorectified and digital terrain models (DTMs) were generated and edited for this study (see Hapke and Richmond, 2000, for description of techniques). The earliest set of photography is from 1989, taken immediately following the Loma Prieta earthquake. These photographs are used to document the response of the seacliffs to seismic shaking, as well as to establish a baseline cliff-edge position to measure the amount of retreat of the cliff edge over the following decade. The remaining three sets of photographs were collected using the U.S. Geological Survey Coastal Aerial Mapping System (CAMS) during the 1997-98 El Ni?o (see Hapke and Richmond, 1999; 2000). The CAMS photographs were taken before, during, and after severe storms and are used to examine seacliff response to these storms. In addition to the analyses of photogrammetrically processed data, field mapping identified joints, faults, and lithologic variations along this section of seacliff.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/mf2399","usgsCitation":"Hapke, C.J., Richmond, B.M., and D’Iorio, M.M., 2002, Map Showing Seacliff Response to Climatic and Seismic Events, Seacliff State Beach, Santa Cruz County, California: U.S. Geological Survey Miscellaneous Field Studies Map 2399, Map: 54 x 37 inches, https://doi.org/10.3133/mf2399.","productDescription":"Map: 54 x 37 inches","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":110348,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_52329.htm","linkFileType":{"id":5,"text":"html"},"description":"52329"},{"id":9548,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2002/2399/","linkFileType":{"id":5,"text":"html"}},{"id":187702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.90083333333334,36.88388888888889 ], [ -121.90083333333334,37 ], [ -121.81777777777778,37 ], [ -121.81777777777778,36.88388888888889 ], [ -121.90083333333334,36.88388888888889 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649351","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":280063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":280062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Iorio, Mimi M.","contributorId":45003,"corporation":false,"usgs":true,"family":"D’Iorio","given":"Mimi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":280064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70025040,"text":"70025040 - 2002 - Late Cretaceous through Cenozoic strike-slip tectonics of southwestern Alaska","interactions":[],"lastModifiedDate":"2018-07-07T17:39:14","indexId":"70025040","displayToPublicDate":"2002-01-01T00:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Late Cretaceous through Cenozoic strike-slip tectonics of southwestern Alaska","docAbstract":"New geologic mapping and geochronology show that margin-parallel strike-slip faults on the western limb of the southern Alaska orocline have experienced multiple episodes of dextral motion since ~100 Ma. These faults are on the upper plate of a subduction zone ~350-450 km inboard of the paleotrench. In southwestern Alaska, dextral displacement is 134 km on the Denali fault, at least 88-94 km on the Iditarod-Nixon Fork fault, and perhaps tens of kilometers on the Dishna River fault. The strike-slip regime coincided with Late Cretaceous sedimentation and then folding in the Kuskokwim basin, and with episodes of magmatism and mineralization at ~70, ~60, and ~30 Ma. No single driving mechanism can explain all of the ~95 million-year history of strike-slip faulting. Since ~40 Ma, the observed dextral sense of strike slip has run contrary to the sense of subduction obliquity. This may be explained by northward motion of the Pacific plate driving continental margin slivers into and/or around the oroclinal bend. From 44 to 66 Ma, oroclinal rotation, perhaps involving large-scale flexural slip, may have been accompanied by westward escape of crustal blocks along strike-slip faults. However, reconstructions of this period involve unproven assumptions about the identity of the subducting plate, the position of subducting ridges, and the exact timing of oroclinal bending, thus obscuring the driving mechanisms of strike slip. Prior to 66 Ma, oblique subduction is the most plausible driving mechanism for dextral strike slip. Cumulative displacement on all faults of the western limb of the orocline is at least 400 km, about half that on the eastern limb; this discrepancy might be explained by a combination of thrusting and unrecognized strike-slip faulting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1086/339531","issn":"00221376","usgsCitation":"Miller, M.L., Bradley, D., Bundtzen, T., and McClelland, W.C., 2002, Late Cretaceous through Cenozoic strike-slip tectonics of southwestern Alaska: Journal of Geology, v. 110, no. 3, p. 247-270, https://doi.org/10.1086/339531.","startPage":"247","endPage":"270","numberOfPages":"24","costCenters":[],"links":[{"id":235909,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209452,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/339531"}],"volume":"110","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a44d9e4b0c8380cd66e3f","contributors":{"authors":[{"text":"Miller, Marti L. 0000-0003-0285-4942 mlmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-0285-4942","contributorId":561,"corporation":false,"usgs":true,"family":"Miller","given":"Marti","email":"mlmiller@usgs.gov","middleInitial":"L.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":403548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":403545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":403547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClelland, William C.","contributorId":194066,"corporation":false,"usgs":false,"family":"McClelland","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":403546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224048,"text":"5224048 - 2001 - Forest fragmentation and bird community dynamics: Inference at regional scales","interactions":[],"lastModifiedDate":"2022-10-07T18:29:23.196554","indexId":"5224048","displayToPublicDate":"2010-06-16T12:18:45","publicationYear":"2001","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forest fragmentation and bird community dynamics: Inference at regional scales","docAbstract":"<p>With increasing fragmentation of natural areas and a dramatic reduction of forest cover in several parts of the world, quantifying the impact of such changes on species richness and community dynamics has been a subject of much concern. Here, we tested whether in more fragmented landscapes there was a lower number of area-sensitive species and higher local extinction and turnover rates, which could explain higher temporal variability in species richness. To investigate such potential landscape effects at a regional scale, we merged two independent, large-scale monitoring efforts: the North American Breeding Bird Survey (BBS) and the Land Use and Land Cover Classification data from the U.S. Geological Survey.</p><p>We used methods that accounted for heterogeneity in the probability of detecting species to estimate species richness and temporal changes in the bird communities for BBS routes in three mid-Atlantic U.S. states. Forest breeding bird species were grouped prior to the analyses into area-sensitive and non-area-sensitive species according to previous studies. We tested predictions relating measures of forest structure at one point in time (1974) to species richness at that time and to parameters of forest bird community change over the following 22-yr-period (1975–1996). We used the mean size of forest patches to characterize landscape structure, as high correlations among landscape variables did not allow us to disentangle the relative roles of habitat fragmentation per se and habitat loss.</p><p>As predicted, together with lower species richness for area-sensitive species on routes surrounded by landscapes with lower mean forest-patch size, we found higher mean year-to-year rates of local extinction. Moreover, the mean year-to-year rates of local turnover (proportion of locally new species) for area-sensitive species were also higher in landscapes with lower mean forest-patch size. These associations were not observed for the non-area-sensitive species group.</p><p>These results suggest that landscape structure may influence forest bird communities at regional scales through its effects on the total number of species but also on the temporal rates of change in community composition. Evidence for higher rates of local extinction and turnover in more fragmented landscapes suggests that bird communities function as metapopulations at a regional scale, and points out the importance of colonizations and recolonizations from surrounding landscapes to local community dynamics. Further, our results illustrate that the methods used to estimate the community parameters can be a powerful statistical tool in addressing questions relative to the dynamics of communities.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/0012-9658(2001)082[1159:FFABCD]2.0.CO;2","usgsCitation":"Boulinier, T., Nichols, J., Hines, J., Sauer, J., Flather, C., and Pollock, K.H., 2001, Forest fragmentation and bird community dynamics: Inference at regional scales: Ecology, v. 82, no. 4, p. 1159-1169, https://doi.org/10.1890/0012-9658(2001)082[1159:FFABCD]2.0.CO;2.","productDescription":"11 p.","startPage":"1159","endPage":"1169","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":200264,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae48a","contributors":{"authors":[{"text":"Boulinier, T.","contributorId":37845,"corporation":false,"usgs":true,"family":"Boulinier","given":"T.","email":"","affiliations":[],"preferred":false,"id":340379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":340377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":340378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":340381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flather, C.H.","contributorId":73161,"corporation":false,"usgs":true,"family":"Flather","given":"C.H.","affiliations":[],"preferred":false,"id":340382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":340380,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70164502,"text":"70164502 - 2001 - Occurrence and distribution of pesticides in streams of the Eastern Iowa Basins, 1996-98","interactions":[],"lastModifiedDate":"2023-09-19T16:29:13.679736","indexId":"70164502","displayToPublicDate":"2001-05-01T17:00:00","publicationYear":"2001","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Occurrence and distribution of pesticides in streams of the Eastern Iowa Basins, 1996-98","docAbstract":"<p>The U.S. Geological Survey began collection of water samples in streams of the Eastern Iowa Basins in 1996 for the analysis of pesticides and pesticide degradates as part of the National Water Quality Assessment Program (NAWQA). This study provides some of the first large scale monitoring data on pesticides and pesticide degradates in Eastern Iowa. Three hundred and forty-four samples were collected from 1996-98 to document the occurrence, distribution, and transport of pesticide compounds. Pesticide analysis included 80 pesticide compounds and 10 pesticide degradates. The Eastern Iowa Basins study encompasses about 50,500 square kilometers (19,500 square miles) and is drained by four major rivers--the Wapsipinicon, Cedar, Iowa, and Skunk. Agriculture accounts for approximately 93 percent of the land use in the study area.</p>\n<p>The most commonly detected pesticides were those most heavily used on crops. The triazine (atrazine and cyanazine) and chloroacetanilide (alachlor, acetochlor, and metolachlor) pesticides are some of the most heavily used (by weight) historically and during the period of data collection 1996-98. Atrazine and metolachlor were detected in all samples. Acetochlor, alachlor, and cyanazine were detected in more than 70 percent of all surface-water samples. Few non-agricultural herbicides were detected. One exception, prometon was detected in more than 80 percent of the samples at very low concentrations (less than 0.1 micrograms per liter).</p>\n<p>Pesticide degradates were some of the most frequently detected pesticide compounds in the study. Four pesticide degradates--metolachlor ethane sulfonic acid (metolachlor ESA), alachlor ethane sulfonic acid (alachlor ESA), metolachlor oxanilic acid (metolachlor OA), and acetochlor ethane sulfonic acid (acetochlor ESA) were detected in more than 75 percent of the samples.</p>\n<p>A few insecticides that may pose potential risk to aquatic invertebrates were detected in streams from May through September, the months when most application normally occurs. Carbofuran was the most commonly detected insecticide (16 percent of all samples). Although detected in less than 20 percent of all samples, carbofuran was detected in 68 percent of the samples in June. When present, carbofuran concentrations were generally less than 0.80 micrograms per liter. Chloropyrifos was detected in about seven percent of the samples. As with other insecticides, chlorpyrifos was detected most frequently in June (30 percent). The highest concentration was 0.06 micrograms per liter. Diazinon, a common urban insecticide found in other NAWQA studies throughout the Nation, was detected in only 2 percent of the samples in the Eastern Iowa Basins study.</p>\n<p>Pesticides were found to occur in mixtures with several compounds rather than individually. Four or more parent pesticide compounds were detected in 91 percent of the water samples and seven or more parent compounds were detected in 46 percent of the water samples. Four or more pesticide degradates were detected in 93 percent of the water samples and seven or more pesticide degradates were detected in 46 percent of the water samples.</p>\n<p>Commonly applied parent pesticide compounds (acetochlor, alachlor, atrazine, cyanazine, and metolachlor) were generally detected at low concentrations with median concentrations ranging from 0.01 to 0.22 micrograms per liter. The median concentrations for the pesticide degradates were larger than their parent compounds. Median concentrations for the pesticide degradates ranged from 0.07 to 3.7 micrograms per liter. Acetochlor, alachlor, atrazine, cyanazine and metolachlor pesticides compounds were present at least an order of magnitude or higher in the late spring and summer than at other times of the year. The maximum measured concentrations for acetochlor, atrazine, cyanazine and metolachor were approximately 11 to 48 micrograms per liter (the maximum for alachlor was 0.56 micrograms per liter). In contrast, maximum measured concentrations for the total pesticide degradates were lower than their parent compounds and ranged from approximately 0.7 to 12 micrograms per liter. The maximum measured concentration of a single pesticide compound was for atrazine at 48 micrograms per liter.</p>\n<p>Seasonal patterns of atrazine, acetochlor, alachlor, cyanazine, and metolachlor generally show peak concentrations following application in May and June and decreasing during remainder of the growing season. In addition, a small secondary peak in atrazine, acetochlor, alachlor, cyanazine, and metolachlor concentrations occurred at all sites in late winter. This secondary peak may be attributed to early \"winter thaw\" that can release pesticide residue from soil, making pesticides available to be transported to surface water by snowmelt and early spring rains.</p>\n<p>Pesticide degradates account for a significant portion of the total pesticide load at all sites. Eighty-one percent of the total pesticide load in samples from Iowa River near Rowan, Wolf Creek near Dysart, and the Iowa River at Wapello were as pesticide degradates. The pesticide degradates for the triazine compounds tended to follow the load pattern of the parent pesticide compounds closely throughout the year. In general, the degradate loads calculated for the triazine compounds were smaller than loads calculated for their parent pesticides. The loads for the chloroacetanilide degradate compounds were larger than those for the parent pesticides. The loads for alachlor were found to be small or nonexistent. Alachlor has been heavily used in the past, but since 1995 has been largely replaced by acetochlor or other herbicides. The loads for all degradates were higher than the parent compounds during the winter months. Overland flow may be diminished during the winter months, but shallow sub-soil drainage and ground-water flow may be a source of many pesticide degradates during the late fall and winter.</p>\n<p>Occurrence of pesticide compounds varied by landform region. The triazine herbicides, atrazine and cyanazine and their degradates were present in significantly greater concentrations in the Southern Iowa Drift Plain (predominantly loess soils) than either the Des Moines Lobe or the Iowan Surface (predominantly till soils). Less atrazine and cyanazine are applied to till soils because of pH and organic carbon content. Alachlor, metolachlor, and acetochlor have often been used to offset triazine pesticide reductions in area with till soils.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings from Agriculture and the Environment: State and Federal Initiatives conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"State and Federal Initiatives conferenc","conferenceDate":"March 5-7, 2001","conferenceLocation":"Ames, IA","language":"English","usgsCitation":"Schnoebelen, D.J., Kalkhoff, S.J., and Becher, K., 2001, Occurrence and distribution of pesticides in streams of the Eastern Iowa Basins, 1996-98, <i>in</i> Proceedings from Agriculture and the Environment: State and Federal Initiatives conference, Ames, IA, March 5-7, 2001, p. 85-86.","productDescription":"2 p.","startPage":"85","endPage":"86","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science 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