This article presents time-series plots of specific-conductance, water-temperature, and water-level data collected in San Francisco Bay during water years 2001 and 2002 (October 1, 2000, through September 30, 2002). Specific-conductance and water-temperature data were recorded at 15-minute intervals at the following US Geological Survey (USGS) locations (Figure 1): • Suisun Bay at Benicia Bridge, near Benicia, California (BEN) (site # 11455780) • Carquinez Strait at Carquinez Bridge, near Crockett, California (CARQ) (site # 11455820) • Napa River at Mare Island Causeway, near Vallejo, California (NAP) (site # 11458370) • San Pablo Strait at Point San Pablo, California (PSP) (site # 11181360) • San Pablo Bay at Petaluma River Channel Marker 9, California (SPB) (site # 380519122262901) • San Francisco Bay at Presidio Military Reservation, California (PRES) (site # 11162690) • San Francisco Bay at Pier 24, at San Francisco, California (P24) (site # 11162700) • San Francisco Bay at San Mateo Bridge, near Foster City, California (SMB) (site # 11162765). Water-level data were recorded only at PSP through January 1, 2001. Suspended-sediment concentration data also were collected at most of these sites and were published by Buchanan and Ganju (2003). The data from PSP, PRES, P24, and SMB were recorded by the California Department of Water Resources (DWR) before 1988, by the USGS National Research Program from 1988 to 1989, and by the USGSDWR cooperative program since 1990. BEN, CARQ, NAP, and SPB were established in 1998 by the USGS.
","language":"English","publisher":"Interagency","usgsCitation":"Buchanan, P., 2003, Specific-conductance, water-temperature, and water-level data, San Francisco Bay, California, for water years 2001-2002: Interagency Ecological Program Newsletter, v. 16, no. 4, p. 25-30.","productDescription":"6 p.","startPage":"25","endPage":"30","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":324773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324772,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.water.ca.gov/iep/newsletters/2003/IEPNewsletter_fall2003_mar23.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.41241455078125,\n 38.15723682167875\n ],\n [\n -122.50167846679686,\n 38.120512892298976\n ],\n [\n -122.508544921875,\n 38.04917251752295\n ],\n [\n -122.4810791015625,\n 37.98100996893789\n ],\n [\n -122.50717163085938,\n 37.95286091815649\n ],\n [\n -122.51678466796874,\n 37.923617790524716\n ],\n [\n -122.50167846679686,\n 37.859675659210005\n ],\n [\n -122.46322631835938,\n 37.78156937014928\n ],\n [\n -122.40554809570311,\n 37.79784832917947\n ],\n [\n -122.39044189453124,\n 37.76202988573211\n ],\n [\n -122.3876953125,\n 37.71750400999666\n ],\n [\n -122.39318847656249,\n 37.66099365286694\n ],\n [\n -122.36709594726562,\n 37.590295170521955\n ],\n [\n -122.26547241210936,\n 37.55111016010861\n ],\n [\n -122.16796875,\n 37.48684571271661\n ],\n [\n -122.09930419921876,\n 37.425797766419976\n ],\n [\n -122.02239990234375,\n 37.41816326969145\n ],\n [\n -121.93450927734375,\n 37.42688834526727\n ],\n [\n -121.91253662109376,\n 37.45632796865522\n ],\n [\n -122.0416259765625,\n 37.51626173528878\n ],\n [\n -122.13912963867188,\n 37.609879943747146\n ],\n [\n -122.20504760742186,\n 37.73053874574077\n ],\n [\n -122.30392456054688,\n 37.860759886765194\n ],\n [\n -122.31628417968749,\n 37.91603433975963\n ],\n [\n -122.39456176757811,\n 37.94311450175187\n ],\n [\n -122.34924316406251,\n 37.990751356571195\n ],\n [\n -122.21466064453125,\n 38.05782354290831\n ],\n [\n -122.24212646484375,\n 38.09241741843045\n ],\n [\n -122.39044189453124,\n 38.155077102180655\n ],\n [\n -122.41241455078125,\n 38.15723682167875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577e2bb2e4b0ef4d2f445a56","contributors":{"authors":[{"text":"Buchanan, P.A. 0000-0002-4796-4734","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":48997,"corporation":false,"usgs":true,"family":"Buchanan","given":"P.A.","affiliations":[],"preferred":false,"id":641637,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70179865,"text":"70179865 - 2003 - Gas bubble disease in resident fish below Grand Coulee Dam: final report of research","interactions":[],"lastModifiedDate":"2017-01-19T11:46:48","indexId":"70179865","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Gas bubble disease in resident fish below Grand Coulee Dam: final report of research","docAbstract":"Fish kills have occurred in the reservoir below Grand Coulee Dam possibly due to total dissolved gas supersaturation (TDGS), which occurs when water cascades over a dam or waterfall. The highest TDGS below Grand Coulee Dam has occurred after spilling water via the outlet tubes, though TDGS from upstream sources has also been recorded. Exposure to TDGS can cause gas bubble disease in aquatic organisms. This disease, analogous to ‘the bends’ in human divers, can range from mild to fatal depending on the level of supersaturation, species, life cycle stage, condition of the fish, fish depth, and the water temperature. The USGS, Western Fisheries Research Center’s Columbia River Research Laboratory conducted field and laboratory experiments to determine the relative risks of TDGS to various species of fish in the reservoir below the dam (Rufus Woods Lake). Field work included examination of over 8000 resident fish for signs of gas bubble disease, examination of the annual growth increments of several species relative to ambient TDGS, and recording the in-situ depths and temperatures of several species using miniature recorders surgically implanted in both resident fish and triploid steelhead reared in commercial net pens. Laboratory experiments included bioassays of the progression of signs and mortality of several species at various TDGS levels. The overarching objective of these studies was to provide data to enable sound management decisions regarding the effects of TDGS in the reservoir below Grand Coulee Dam, though the data may also be applicable to other locations.
","language":"English","publisher":"U.S. Bureau of Reclamation","publisherLocation":"Boise, ID","usgsCitation":"Beeman, J., Venditti, D., Morris, R., Gadomski, D., Adams, B., Vanderkooi, S., Robinson, T., and Maule, A., 2003, Gas bubble disease in resident fish below Grand Coulee Dam: final report of research, iv., 159 p. .","productDescription":"iv., 159 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":333444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333443,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://wfrc.usgs.gov/publications/reportpdf/usgsfrgbdgrandcouleedam.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Grand Coulee Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.9984130859375,\n 47.980959756525635\n ],\n [\n -118.95996093749999,\n 47.9839472330482\n ],\n [\n -118.93043518066405,\n 47.952685075446546\n ],\n [\n -118.91258239746092,\n 47.958663127446556\n ],\n [\n -118.90331268310547,\n 47.93543681942298\n ],\n [\n -118.94451141357422,\n 47.92071375635142\n ],\n [\n -119.00081634521483,\n 47.93934692855592\n ],\n [\n -118.99772644042969,\n 47.94969579007753\n ],\n [\n -118.99532318115234,\n 47.97613346768237\n ],\n [\n -118.9984130859375,\n 47.980959756525635\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881dee2e4b01192927d9fbf","contributors":{"authors":[{"text":"Beeman, J.W.","contributorId":32646,"corporation":false,"usgs":true,"family":"Beeman","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":658992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Venditti, D.A.","contributorId":74536,"corporation":false,"usgs":true,"family":"Venditti","given":"D.A.","affiliations":[],"preferred":false,"id":658993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, R.G.","contributorId":24242,"corporation":false,"usgs":true,"family":"Morris","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":658994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gadomski, D.M.","contributorId":37101,"corporation":false,"usgs":true,"family":"Gadomski","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":658995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, B.J.","contributorId":178459,"corporation":false,"usgs":false,"family":"Adams","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":658996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vanderkooi, S.J.","contributorId":178460,"corporation":false,"usgs":false,"family":"Vanderkooi","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":658997,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, T.C.","contributorId":178452,"corporation":false,"usgs":false,"family":"Robinson","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":658998,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maule, A.G.","contributorId":45067,"corporation":false,"usgs":true,"family":"Maule","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":658999,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179880,"text":"70179880 - 2003 - Identification of larval Pacific lampreys (Lampetra tridentata), river lampreys (L. ayresi), and western brook lampreys (L. richardsoni) and thermal requirements of early life history stages of lampreys. Annual report 2002-2003","interactions":[],"lastModifiedDate":"2017-01-19T13:49:13","indexId":"70179880","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Identification of larval Pacific lampreys (Lampetra tridentata), river lampreys (L. ayresi), and western brook lampreys (L. richardsoni) and thermal requirements of early life history stages of lampreys. Annual report 2002-2003","docAbstract":"Two fundamental aspects of lamprey biology were examined to provide tools for population assessment and determination of critical habitat needs of Columbia River Basin (CRB) lampreys (the Pacific lamprey, Lampetra tridentata, and the western brook lamprey, L. richardsoni). We evaluated the usefulness of current diagnostic characteristics for identification of larval lampreys (i.e., pigment patterns) and collected material for development of meristic and morphometric descriptions of early life stage CRB lampreys, and we determined the effects of temperature on survival and development of early life stage CRB lampreys. Thirty-one larval lampreys were collected from locations throughout the CRB and transported to the Columbia River Research Laboratory. Lampreys were sampled at six-week intervals at which time they were identified to the species level based on current diagnostic characteristics. Sampling was repeated until lampreys metamorphosed, at which time species identification was validated based on dentition, or until they died, at which time they were preserved for genetic examination. These lampreys were sampled 30 times with two individuals metamorphosing, both of which were consistently identified, and subsequently validated, as Pacific lampreys. Of the remaining lampreys, only one was inconsistently identified (Pacific lamprey in 83% of the sampling events and western brook lamprey in 17% of the sampling events). These data suggest that pigmentation patterns do not change appreciably through time. In 2001 and 2002 we artificially spawned Pacific and western brook lampreys in the laboratory to provide material for meristic and morphometric descriptions. We collected, digitized, preserved, and measured the mean chorion diameter of Pacific and western brook lamprey embryos. Embryos ranged in development from 1 d post fertilization to just prior to hatch, and were incubated at 14 C. Mean chorion diameter was greater and more variable for Pacific lampreys (mean {+-} SD; 1.468 {+-} 0.107 mm, N = 320) than for western brook lampreys (1.237 {+-} 0.064 mm, N = 280). An unpaired t-test showed that the difference in mean chorion diameter between species was highly significant (t = 32.788, df = 528.62, P < 0.0001). For larvae, we collected, digitized, and preserved 156 individuals from each species. Eight homologous landmarks defining a two-cell truss network with two appended triangles were selected for morphometric analyses and species discrimination. A full model discriminant analysis correctly classified 92% of the Pacific lampreys and 93% of the western brook lampreys in a classification data set. When applied to a test data set, the classification functions correctly classified 91% of the Pacific lampreys and 85% of the western brook lampreys. A backward elimination discriminant analysis removed four variables from the full model, and the reduced model correctly classified 91% of the Pacific lampreys and 93% of the western brook lampreys in a classification data set. The reduced model classification functions correctly classified 91% of the Pacific lampreys and 85% of the western brook lampreys in a test data set. In 2001 and 2002 Pacific and western brook lampreys were artificially spawned and resulting progeny were reared in the laboratory at 10 C, 14 C, 18 C, and 22 C. The estimated temperature for zero development was 4.85 C for Pacific and 4.97 C for western brook lampreys. Survival was greatest at 18 C followed by 14 C, 10 C, and 22 C, with significant differences observed between 22 C and other temperatures. Overall survival was significantly greater for western brook than for Pacific lampreys, although the difference in proportion of individuals surviving was only 0.02. Survival to hatch was significantly greater than survival to the larval stage with a difference of only 0.03. The proportion of individuals exhibiting abnormalities at the larval stage was greatest at 22 C followed by 18 C, 10 C, and 14 C, with significant differences observed between 22 C and other temperatures.
","language":"English","publisher":"Bonneville Power Administration","doi":"10.2172/963076","usgsCitation":"Meeuwig, M., Bayer, J., Seelye, J., and Reiche, R., 2003, Identification of larval Pacific lampreys (Lampetra tridentata), river lampreys (L. ayresi), and western brook lampreys (L. richardsoni) and thermal requirements of early life history stages of lampreys. Annual report 2002-2003, https://doi.org/10.2172/963076.","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":486965,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/963076","text":"External Repository"},{"id":333470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2004-01-01","publicationStatus":"PW","scienceBaseUri":"5881dedee4b01192927d9fa5","contributors":{"authors":[{"text":"Meeuwig, M.H.","contributorId":24741,"corporation":false,"usgs":true,"family":"Meeuwig","given":"M.H.","affiliations":[],"preferred":false,"id":659065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bayer, J.M.","contributorId":47945,"corporation":false,"usgs":true,"family":"Bayer","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":659066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seelye, J.G.","contributorId":32861,"corporation":false,"usgs":true,"family":"Seelye","given":"J.G.","affiliations":[],"preferred":false,"id":659067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reiche, R.A.","contributorId":68107,"corporation":false,"usgs":true,"family":"Reiche","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":659068,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185121,"text":"70185121 - 2003 - Immobilization of cobalt by sulfate-reducing bacteria in subsurface sediments","interactions":[],"lastModifiedDate":"2018-11-19T07:45:19","indexId":"70185121","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1800,"text":"Geomicrobiology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Immobilization of cobalt by sulfate-reducing bacteria in subsurface sediments","docAbstract":"We investigated the impact of sulfate-reduction on immobilization of metals in subsurface aquifers. Co 2+ was used as a model for heavy metals. Factors limiting sulfate-reduction dependent Co 2+ immobilization were tested on pure cultures of sulfate-reducing bacteria, and in sediment columns from a landfill leachate contaminated aquifer. In the presence of 1 mM Co 2+ , the growth of pure cultures of sulfate-reducing bacteria was not impacted. Cultures of Desulfovibrio desulfuricans, Desulfotomaculum gibsoniae , and Desulfomicrobium hypogeia removed greater than 99.99% of the soluble Co 2+ when CoCl 2 was used with no chelators. The above cultures and Desulfoarcula baarsi removed 98-99.94% of the soluble Co(II) when the metal was complexed with the model ligand nitrilotriacetate (Co-NTA). Factors controlling the rate of sulfate-reduction based Co 2+ precipitation were investigated in sediment-cobalt mixtures. Several electron donors were tested and all but toluene accelerated soluble Co 2+ loss. Ethanol and formate showed the greatest stimulation. All complex nitrogen sources tested slowed and decreased the extent of Co 2+ removal from solution relative to formate-amended sediment incubations. A range of pH values were tested (6.35-7.81), with the more alkaline incubations exhibiting the largest precipitation of Co 2+ . The immobilization of Co 2+ in sediments was also investigated with cores to monitor the flow of Co 2+ through undisturbed sediments. An increase in the amount of Co 2+ immobilized as CoS was observed as sulfate reduction activity was stimulated in flow through columns. Both pure culture and sediment incubation data indicate that stimulation of sulfate reduction is a viable strategy in the immobilization of contaminating metals in subsurface systems.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490450303892","usgsCitation":"Krumholz, L.R., Elias, D.A., and Suflita, J.M., 2003, Immobilization of cobalt by sulfate-reducing bacteria in subsurface sediments: Geomicrobiology Journal, v. 20, no. 1, p. 61-72, https://doi.org/10.1080/01490450303892.","productDescription":"12 p.","startPage":"61","endPage":"72","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52d3e4b0849ce97c86e4","contributors":{"authors":[{"text":"Krumholz, Lee R.","contributorId":187679,"corporation":false,"usgs":false,"family":"Krumholz","given":"Lee","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Dwayne A.","contributorId":189299,"corporation":false,"usgs":false,"family":"Elias","given":"Dwayne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suflita, Joseph M.","contributorId":187604,"corporation":false,"usgs":false,"family":"Suflita","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684430,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180940,"text":"70180940 - 2003 - Improving size estimates of open animal populations by incorporating information on age","interactions":[],"lastModifiedDate":"2017-08-29T18:18:11","indexId":"70180940","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Improving size estimates of open animal populations by incorporating information on age","docAbstract":"Around the world, a great deal of effort is expended each year to estimate the sizes of wild animal populations. Unfortunately, population size has proven to be one of the most intractable parameters to estimate. The capture-recapture estimation models most commonly used (of the Jolly-Seber type) are complicated and require numerous, sometimes questionable, assumptions. The derived estimates usually have large variances and lack consistency over time. In capture–recapture studies of long-lived animals, the ages of captured animals can often be determined with great accuracy and relative ease. We show how to incorporate age information into size estimates for open populations, where the size changes through births, deaths, immigration, and emigration. The proposed method allows more precise estimates of population size than the usual models, and it can provide these estimates from two sample occasions rather than the three usually required. Moreover, this method does not require specialized programs for capture-recapture data; researchers can derive their estimates using the logistic regression module in any standard statistical package.
","language":"English","publisher":"Oxford Academic","doi":"10.1641/0006-3568(2003)053[0666:ISEOOA]2.0.CO;2","usgsCitation":"Manly, B.F., McDonald, T.L., Amstrup, S.C., and Regehr, E.V., 2003, Improving size estimates of open animal populations by incorporating information on age: BioScience, v. 53, no. 7, p. 666-669, https://doi.org/10.1641/0006-3568(2003)053[0666:ISEOOA]2.0.CO;2.","productDescription":"4 p.","startPage":"666","endPage":"669","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":335073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589c3c40e4b0efcedb741088","contributors":{"authors":[{"text":"Manly, Bryan F.J.","contributorId":41770,"corporation":false,"usgs":true,"family":"Manly","given":"Bryan","email":"","middleInitial":"F.J.","affiliations":[],"preferred":false,"id":662916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Trent L.","contributorId":92193,"corporation":false,"usgs":false,"family":"McDonald","given":"Trent","email":"","middleInitial":"L.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":662917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":662918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":662919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70181813,"text":"70181813 - 2003 - Western crevice and cavity-roosting bats","interactions":[],"lastModifiedDate":"2017-02-14T13:59:59","indexId":"70181813","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Western crevice and cavity-roosting bats","docAbstract":"Among the 45 species of bats that occur in the United States (U.S.), 34 species regularly occur in western regions of the country. Many of these “western” species choose roost sites in crevices or cavities. Herein we provide an introduction to the biology of bats that roost in cavities and crevices and assess the challenges and opportunities associated with monitoring their populations. We reviewed recent studies and examined the U.S. Geological Survey Bat Population Database (BPD) for records of western bats using crevice and cavity roosts. We found records of 25 species of western bats that use crevice or cavity roosts for at least part of their annual cycle. There were relatively few (n = 92) observations or counts for these species in the BPD, representing only 6% of the observations in the database. This paucity of records likely reflects the difficulty of observing bats in such situations rather than actual use. We found no long-term data adequate for population trend analysis among this group of bats. Since the development of miniaturized radio transmitters, our knowledge about bats that roost in cavities and crevices has increased. Future challenges associated with monitoring these species will include understanding variability in the types of roosts used as well as the roost-switching behavior exhibited by many species.
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Vegetation changes north of 55°N between the last glacial maximum, mid-Holocene, and present","interactions":[],"lastModifiedDate":"2015-05-06T16:06:08","indexId":"70025574","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and Arctic ecosystems: 1. Vegetation changes north of 55°N between the last glacial maximum, mid-Holocene, and present","docAbstract":"A unified scheme to assign pollen samples to vegetation types was used to reconstruct vegetation patterns north of 55??N at the last glacial maximum (LGM) and mid-Holocene (6000 years B.P.). The pollen data set assembled for this purpose represents a comprehensive compilation based on the work of many projects and research groups. Five tundra types (cushion forb tundra, graminoid and forb tundra, prostrate dwarf-shrub tundra, erect dwarf-shrub tundra, and low- and high-shrub tundra) were distinguished and mapped on the basis of modern pollen surface samples. The tundra-forest boundary and the distributions of boreal and temperate forest types today were realistically reconstructed. During the mid-Holocene the tundra-forest boundary was north of its present position in some regions, but the pattern of this shift was strongly asymmetrical around the pole, with the largest northward shift in central Siberia (???200 km), little change in Beringia, and a southward shift in Keewatin and Labrador (???200 km). Low- and high-shrub tundra extended farther north than today. At the LGM, forests were absent from high latitudes. Graminoid and forb tundra abutted on temperate steppe in northwestern Eurasia while prostrate dwarf-shrub, erect dwarf-shrub, and graminoid and forb tundra formed a mosaic in Beringia. Graminoid and forb tundra is restricted today and does not form a large continuous biome, but the pollen data show that it was far more extensive at the LGM, while low- and high-shrub tundra were greatly reduced, illustrating the potential for climate change to dramatically alter the relative areas occupied by different vegetation types.","language":"English","publisher":"Wiley","doi":"10.1029/2002JD002558","issn":"01480227","usgsCitation":"Bigelow, N., Brubaker, L., Edwards, M.E., Harrison, S.P., Prentice, I.C., Anderson, P.M., Andreev, A., Bartlein, P., Christensen, T., Cramer, W., Kaplan, J., Lozhkin, A., Matveyeva, N., Murray, D., McGuire, A., Razzhivin, V., Ritchie, J., Smith, B., Walker, D., Gajewski, K., Wolf, V., Holmqvist, B., Igarashi, Y., Kremenetskii, K., Paus, A., Pisaric, M., and Volkova, V., 2003, Climate change and Arctic ecosystems: 1. Vegetation changes north of 55°N between the last glacial maximum, mid-Holocene, and present: Journal of Geophysical Research D: Atmospheres, v. 108, no. 19, https://doi.org/10.1029/2002JD002558.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":478530,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2002jd002558","text":"Publisher Index Page"},{"id":235978,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"19","noUsgsAuthors":false,"publicationDate":"2003-10-08","publicationStatus":"PW","scienceBaseUri":"5059f64ae4b0c8380cd4c67b","contributors":{"authors":[{"text":"Bigelow, N.H.","contributorId":85352,"corporation":false,"usgs":true,"family":"Bigelow","given":"N.H.","email":"","affiliations":[],"preferred":false,"id":405717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brubaker, L.B.","contributorId":29153,"corporation":false,"usgs":true,"family":"Brubaker","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":405702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, M. 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","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Monitoring trends in bat populations of the United States and territories: Problems and prospects (Information and Technology Report 2003-0003)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Bogan, M., Cryan, P.M., Valdez, E.W., Ellison, L.E., and O’Shea, T.J., 2003, Western crevice and cavity-roosting bats, 9 p.","productDescription":"9 p.","startPage":"69","endPage":"77","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":334812,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/itr/2003/0003/report.pdf#page=79"},{"id":334813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58999945e4b0efcedb71a0bc","contributors":{"authors":[{"text":"Bogan, Michael A.","contributorId":27128,"corporation":false,"usgs":true,"family":"Bogan","given":"Michael A.","affiliations":[],"preferred":false,"id":662656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":662657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":662658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellison, Laura E. ellisonl@usgs.gov","contributorId":3220,"corporation":false,"usgs":true,"family":"Ellison","given":"Laura","email":"ellisonl@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":662659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Shea, Thomas J. osheat@usgs.gov","contributorId":2327,"corporation":false,"usgs":true,"family":"O’Shea","given":"Thomas","email":"osheat@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":662660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70025321,"text":"70025321 - 2003 - Wildfire-related debris-flow generation through episodic progressive sediment-bulking processes, western USA","interactions":[],"lastModifiedDate":"2012-03-12T17:20:58","indexId":"70025321","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Wildfire-related debris-flow generation through episodic progressive sediment-bulking processes, western USA","docAbstract":"Debris-flow initiation processes on hillslopes recently burned by wildfire differ from those generally recognized on unburned, vegetated hillslopes. These differences result from fire-induced changes in the hydrologic response to rainfall events. In this study, detailed field and aerial photographic mapping, observations, and measurements of debris-flow events from three sites in the western U.S. are used to describe and evaluate the process of episodic progressive sediment bulking of storm runoff that leads to the generation of post-wildfire debris flows. Our data demonstrate the effects of material credibility, sediment availability on hillslopes and in channels, the degree of channel confinement, the formation of continuous channel incision, and the upslope contributing area and its gradient on the generation of flows and the magnitude of the response are demonstrated. ?? 2003 Millpress.","largerWorkTitle":"International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, Proceedings","conferenceTitle":"3rd International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment","conferenceDate":"10 September 2003 through 12 September 2003","conferenceLocation":"Davos","language":"English","usgsCitation":"Cannon, S., Gartner, J., Parrett, C., and Parise, M., 2003, Wildfire-related debris-flow generation through episodic progressive sediment-bulking processes, western USA, in International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, Proceedings, v. 1, Davos, 10 September 2003 through 12 September 2003, p. 71-82.","startPage":"71","endPage":"82","numberOfPages":"12","costCenters":[],"links":[{"id":236109,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd0d1e4b08c986b32f096","contributors":{"editors":[{"text":"Rickenmann D.Chen C.L.","contributorId":128322,"corporation":true,"usgs":false,"organization":"Rickenmann D.Chen C.L.","id":536553,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Cannon, S.H.","contributorId":38154,"corporation":false,"usgs":true,"family":"Cannon","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":404749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, J.E.","contributorId":80098,"corporation":false,"usgs":true,"family":"Gartner","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":404751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parrett, C.","contributorId":43400,"corporation":false,"usgs":true,"family":"Parrett","given":"C.","email":"","affiliations":[],"preferred":false,"id":404750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parise, M.","contributorId":82486,"corporation":false,"usgs":true,"family":"Parise","given":"M.","email":"","affiliations":[],"preferred":false,"id":404752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70026189,"text":"70026189 - 2003 - Field evaluation of boat-mounted acoustic Doppler instruments used to measure streamflow","interactions":[],"lastModifiedDate":"2012-03-12T17:20:31","indexId":"70026189","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Field evaluation of boat-mounted acoustic Doppler instruments used to measure streamflow","docAbstract":"The use of instruments based on the Doppler principle for measuring water velocity and computing discharge is common within the U.S. Geological Survey (USGS). The instruments and software have changed appreciably during the last 5 years; therefore, the USGS has begun field validation of the instruments used to make discharge measurements from a moving boat. Instruments manufactured by SonTek/YSI and RD Instruments, Inc. were used to collect discharge data at five different sites. One or more traditional discharge measurements were made using a Price AA current meter and standard USGS procedures concurrent with the acoustic instruments at each site. Discharges measured with the acoustic instruments were compared with discharges measured with Price AA current meters and the USGS stage-discharge rating for each site. The mean discharges measured by each acoustic instrument were within 5 percent of the Price AA-based measurement and (or) discharge from the stage-discharge rating.","largerWorkTitle":"Proceedings of the IEEE Working Conference on Current Measurement","conferenceTitle":"Proceedings of the IEEE Seventh Working Conference on Current Measurement; Current and Wave Monitoring and Emerging Technologies","conferenceDate":"13 March 2003 through 15 March 2003","conferenceLocation":"San Diego, CA","language":"English","usgsCitation":"Mueller, D.S., 2003, Field evaluation of boat-mounted acoustic Doppler instruments used to measure streamflow, in Proceedings of the IEEE Working Conference on Current Measurement, San Diego, CA, 13 March 2003 through 15 March 2003, p. 30-34.","startPage":"30","endPage":"34","numberOfPages":"5","costCenters":[],"links":[{"id":234810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0fb3e4b0c8380cd539ae","contributors":{"editors":[{"text":"Rizoli J.A.","contributorId":128304,"corporation":true,"usgs":false,"organization":"Rizoli J.A.","id":536583,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Mueller, D. S.","contributorId":51338,"corporation":false,"usgs":true,"family":"Mueller","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":408371,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70182537,"text":"70182537 - 2003 - Regional forest land cover characterisation using medium spatial resolution satellite data","interactions":[],"lastModifiedDate":"2018-03-08T13:12:19","indexId":"70182537","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Regional forest land cover characterisation using medium spatial resolution satellite data","docAbstract":"Increasing demands on forest resources require comprehensive, consistent and up-to-date information on those resources at spatial scales appropriate for management decision-making and for scientific analysis. While such information can be derived using coarse spatial resolution satellite data (e.g. Tucker et al. 1984; Zhu and Evans 1994; Cihlar et al. 1996; Cihlar et al., Chapter 12), many regional applications require more spatial and thematic details than can be derived by using coarse resolution imagery. High spatial resolution satellite data such as IKONOS and Quick Bird images (Aplin et al. 1997), though usable for deriving detailed forest information (Culvenor, Chapter 9), are currently not feasible for wall-to-wall regional applications because of extremely high data cost, huge data volume, and lack of contiguous coverage over large areas. Forest studies over large areas have often been accomplished using data acquired by intermediate spatial resolution sensor systems, including the Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and the Enhanced Thematic Mapper Plus (ETM+) of Landsat, the High Resolution Visible (HRV) of the Systeme Pour l'Observation de la Terre (SPOT), and the Linear Image Self-Scanner (LISS) of the Indian Remote Sensing satellite. These sensor systems are more appropriate for regional applications because they can routinely produce spatially contiguous data over large areas at relatively low cost, and can be used to derive a host of forest attributes (e.g. Cohen et al. 1995; Kimes et al. 1999; Cohen et al. 2001; Huang et al. 2001; Sugumaran 2001). Of the above intermediate spatial resolution satellites, Landsat is perhaps the most widely used in various types of land remote sensing applications, in part because it has provided more extensive spatial and temporal coverage of the globe than any other intermediate resolution satellite. Spatially contiguous Landsat data have been developed for many regions of the globe (e.g. Lunetta and Sturdevant 1993; Fuller et al. 1994b; Skole et al. 1997), and a circa 1990 Landsat image data set covering the entire land area of the globe has also been developed recently (Jones and Smith 2001). An acquisition strategy aimed at acquiring at least one cloud free image per year for the entire land area of the globe has been initiated for Landsat-7 (Arvidson et al. 2001). This will probably ensure the continued dominance of Landsat in the near future.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of forest environments: Concepts and case studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Kluwer Academic","publisherLocation":"Boston, MA","isbn":"978-1-4020-7405-9","usgsCitation":"Huang, C., Homer, C.G., and Yang, L., 2003, Regional forest land cover characterisation using medium spatial resolution satellite data, chap. 14 of Remote sensing of forest environments: Concepts and case studies, p. 389-410.","productDescription":"22 p.","startPage":"389","endPage":"410","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":336187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352339,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/us/book/9781402074059"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15442e4b01ccd54fc5ecf","contributors":{"editors":[{"text":"Wulder, Michael A.","contributorId":189990,"corporation":false,"usgs":false,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730619,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Franklin, Steven E.","contributorId":103135,"corporation":false,"usgs":false,"family":"Franklin","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":730620,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":671466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":671467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":671468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187638,"text":"70187638 - 2003 - Lake Clark sockeye salmon population assessment","interactions":[],"lastModifiedDate":"2017-05-11T14:02:25","indexId":"70187638","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Lake Clark sockeye salmon population assessment","docAbstract":"Radio telemetry was used to identify and map sockeye salmon spawning habitats in glacially influenced Lake Clark, Kvichak River watershed, Alaska. Two hundred eighty-two adult sockeye salmon were radio tagged and tracked to spawning grounds. Thirty-five spawning areas were identified, including 18 previously unidentified. Comparison of radio telemetry data with past aerial population surveys indicate sockeye salmon spawning habitat use and distribution in Lake Clark was underestimated, likely due to poor visibility associated with glacial habitats. Although glacially turbid waters are not considered suitable incubation environments because fine sediments can suffocate embryos, more than 60% of radio tagged fish spawned in such waters. Over 50% of identified spawning areas are along the shores of Lake Clark and Little Lake Clark and about 75% of spawning areas are adjacent to private land. Proposed development on these lands could negatively impact critical spawning habitats if protective measures are not in place.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Woody, C.A., Ramstad, K.M., Young, D.B., Sage, G.K., and Allendorf, F., 2003, Lake Clark sockeye salmon population assessment, v, 57 p.","productDescription":"v, 57 p.","numberOfPages":"64","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":341139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341135,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.adfg.alaska.gov/static-sf/project_assets/LCP00/Documents/Final%20Rpt.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publicComments":"Final Report for Study 01-042 ","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59155bf0e4b01a342e69138c","contributors":{"authors":[{"text":"Woody, Carol Ann","contributorId":172548,"corporation":false,"usgs":false,"family":"Woody","given":"Carol","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":694881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramstad, Kristina M.","contributorId":172547,"corporation":false,"usgs":false,"family":"Ramstad","given":"Kristina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":694882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":694883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, G. Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":4348,"corporation":false,"usgs":true,"family":"Sage","given":"G.","email":"ksage@usgs.gov","middleInitial":"Kevin","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":694884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allendorf, Fred W.","contributorId":83432,"corporation":false,"usgs":false,"family":"Allendorf","given":"Fred W.","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":694885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70025330,"text":"70025330 - 2003 - Remote sensing of rainfall for debris-flow hazard assessment","interactions":[],"lastModifiedDate":"2012-03-12T17:20:58","indexId":"70025330","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Remote sensing of rainfall for debris-flow hazard assessment","docAbstract":"Recent advances in remote sensing of rainfall provide more detailed temporal and spatial data on rainfall distribution. Four case studies of abundant debris flows over relatively small areas triggered during intense rainstorms are examined noting the potential for using remotely sensed rainfall data for landslide hazard analysis. Three examples with rainfall estimates from National Weather Service Doppler radar and one example with rainfall estimates from infrared imagery from a National Oceanic and Atmospheric Administration satellite are compared with ground-based measurements of rainfall and with landslide distribution. The advantages and limitations of using remote sensing of rainfall for landslide hazard analysis are discussed. ?? 2003 Millpress,.","largerWorkTitle":"International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, Proceedings","conferenceTitle":"3rd International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment","conferenceDate":"10 September 2003 through 12 September 2003","conferenceLocation":"Davos","language":"English","usgsCitation":"Wieczorek, G.F., Coe, J.A., and Godt, J., 2003, Remote sensing of rainfall for debris-flow hazard assessment, in International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, Proceedings, v. 2, Davos, 10 September 2003 through 12 September 2003, p. 1257-1268.","startPage":"1257","endPage":"1268","numberOfPages":"12","costCenters":[],"links":[{"id":236224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa703e4b0c8380cd85195","contributors":{"editors":[{"text":"Rickenmann D.Chen C.L.","contributorId":128322,"corporation":true,"usgs":false,"organization":"Rickenmann D.Chen C.L.","id":536556,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Wieczorek, G. F.","contributorId":50143,"corporation":false,"usgs":true,"family":"Wieczorek","given":"G.","middleInitial":"F.","affiliations":[],"preferred":false,"id":404780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":404779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, J. W.","contributorId":76732,"corporation":false,"usgs":true,"family":"Godt","given":"J. W.","affiliations":[],"preferred":false,"id":404781,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70025274,"text":"70025274 - 2003 - Estimating debris-flow probability using fan stratigraphy, historic records, and drainage-basin morphology, Interstate 70 highway corridor, central Colorado, U.S.A","interactions":[],"lastModifiedDate":"2012-03-12T17:20:58","indexId":"70025274","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating debris-flow probability using fan stratigraphy, historic records, and drainage-basin morphology, Interstate 70 highway corridor, central Colorado, U.S.A","docAbstract":"We have used stratigraphic and historic records of debris-flows to estimate mean recurrence intervals of past debris-flow events on 19 fans along the Interstate 70 highway corridor in the Front Range of Colorado. Estimated mean recurrence intervals were used in the Poisson probability model to estimate the probability of future debris-flow events on the fans. Mean recurrence intervals range from 7 to about 2900 years. Annual probabilities range from less than 0.1% to about 13%. A regression analysis of mean recurrence interval data and drainage-basin morphometry yields a regression model that may be suitable to estimate mean recurrence intervals on fans with no stratigraphic or historic records. Additional work is needed to verify this model. ?? 2003 Millpress.","largerWorkTitle":"International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, Proceedings","conferenceTitle":"3rd International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment","conferenceDate":"10 September 2003 through 12 September 2003","conferenceLocation":"Davos","language":"English","usgsCitation":"Coe, J.A., Godt, J., Parise, M., and Moscariello, A., 2003, Estimating debris-flow probability using fan stratigraphy, historic records, and drainage-basin morphology, Interstate 70 highway corridor, central Colorado, U.S.A, in International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment, Proceedings, v. 2, Davos, 10 September 2003 through 12 September 2003, p. 1085-1096.","startPage":"1085","endPage":"1096","numberOfPages":"12","costCenters":[],"links":[{"id":235996,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b14e4b0c8380cd52564","contributors":{"editors":[{"text":"Rickenmann D.Chen C.L.","contributorId":128322,"corporation":true,"usgs":false,"organization":"Rickenmann D.Chen C.L.","id":536551,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Coe, J. A.","contributorId":8867,"corporation":false,"usgs":true,"family":"Coe","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":404577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, J. W.","contributorId":76732,"corporation":false,"usgs":true,"family":"Godt","given":"J. W.","affiliations":[],"preferred":false,"id":404579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parise, M.","contributorId":82486,"corporation":false,"usgs":true,"family":"Parise","given":"M.","email":"","affiliations":[],"preferred":false,"id":404580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moscariello, A.","contributorId":29137,"corporation":false,"usgs":true,"family":"Moscariello","given":"A.","affiliations":[],"preferred":false,"id":404578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70025959,"text":"70025959 - 2003 - Applied geochemistry, geology and mineralogy of the northernmost Carlin trend, Nevada","interactions":[],"lastModifiedDate":"2021-07-27T17:50:13.572035","indexId":"70025959","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"Applied geochemistry, geology and mineralogy of the northernmost Carlin trend, Nevada","docAbstract":"Investigations in the northernmost Carlin trend were undertaken to advance understanding of the geochemical signatures and genesis of precious metal deposits in the trend. Two fundamental geologic relationships near the trend significantly affect regional geochemical distributions: a remarkably intact lower Paleozoic stratigraphic sequence of siliceous rocks in the upper plate of the middle Paleozoic Roberts Mountains thrust, and the widespread repetition of rocks high in the upper plate during late Paleozoic thrusting that thickens the cover above mineralized rock in the lower plate. A compilation of previously published chemical analyses of 440 stream sediment samples and 115 rocks from two 7 1/2-minute quadrangles, as well as new chemical analyses of approximately 1,000 drill core samples in a 1,514 m (4,970 ft) hole through the Rodeo Creek deposit were used to construct three-dimensional element distribution models that highlight metal zonation in the mineralized systems. The Rodeo Creek deposit comprises deep Ag base-metal ± Au-mineralized rock below the Roberts Mountains thrust and contains an unusually high Ag/Au ratio greater than 30. Stacked geochemical halos related to the deposit are confined to the lower plate of the Roberts Mountains thrust and include two horizons of Hg, Cu, and Zn anomalies-as much as 180 m above the deposit-that mostly result from mercurian sphalerite. Extremely subtle indications of mineralization in the upper plate of the Roberts Mountains thrust above the deposit include arsenopyrite overgrowths on small pyrite crystals in 50- to 75-μm-wide clay-carbonate veinlets that lack alteration halos, arsenical rims on small disseminated crystal of recrystallized diagenetic pyrite, and partial replacement of diagenetic pyrite by tennantite. Some of these minerals contain anomalously high Au. However, these As-(Au)-bearing rocks most likely represent another locus of largely untested mineralized rock rather than distal halos related to either the Rodeo Creek or the nearby Dee and Storm gold deposits. Application of micromineralogic techniques helped to identify mineral assemblages that are specific to mineralization and provided an empirical foundation for interpretations of geochemical halos in the Carlin trend. District-scale geochemical patterns of several elements in stream sediments and surface rocks coincide with the northernmost Carlin trend and can be used to explore for Carlin-type deposits. Concentrations of elevated As and Sb in stream sediments (as much as 54 ppm As) have northwest-elongate lobate patterns that clearly outline the trend across a width of approximately 4 km. Arsenic contents of exposed rocks (as much as 90 ppm As) strongly correlate with As contents of derivative stream sediments, and rock contents of Sb show a somewhat lesser but nonetheless strong and similar correspondence. Factor analysis of stream-sediment data shows that those factor scores that are correlated with As, Sb, Au, and Pb also are high along the trend and suggest that mineralized rocks may be present. Although As was not detected by scanning electron microscope-energy dispersive spectrometer (SEM-EDS) studies in heavy mineral concentrates of high-As stream sediments in the Carlin trend, X-ray absorption near-edge spectra (XANES) of selected light fractions of stream sediment samples indicate that Al-bearing phases, such as gibbsite, amorphous Al oxyhydroxides, or aluminosilicate clay minerals host most of the As(V). The best fit, visually and in terms of the lowest residual, was obtained by a model compound of As(V) sorbed to gibbsite. Thus, most As in stream sediments derived from altered rock within the Carlin trend apparently is contained in light fractions. The geochemical character of young, unconsolidated, postmineral deposits that cover mineralized rocks on the Carlin trend partly results from mineralized sources along the trend. Concentration of As in the Miocene Carlin Formation shows an exceptionally well developed progressive increase to about 30 ppm As as altered rock surrounding the trend is approached. Mineralized and/or altered rock fragments probably have been shed directly into the sedimentary basin of the Carlin Formation, and migration of As, now fixed as As(V), also may have occurred in the supergene environment after material was recycled out of the Carlin Formation and into present-day gulleys.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.98.2.287","issn":"03610128","usgsCitation":"Theodore, T.G., Kotlyar, B.B., Singer, D., Berger, V., Abbott, E., and Foster, A., 2003, Applied geochemistry, geology and mineralogy of the northernmost Carlin trend, Nevada: Economic Geology, v. 98, no. 2, p. 287-316, https://doi.org/10.2113/gsecongeo.98.2.287.","productDescription":"20 p.","startPage":"287","endPage":"316","costCenters":[],"links":[{"id":387483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Carlin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.17492675781251,\n 40.68063802521456\n ],\n [\n -115.9881591796875,\n 40.68063802521456\n ],\n [\n -115.9881591796875,\n 40.78885994449482\n ],\n [\n -116.17492675781251,\n 40.78885994449482\n ],\n [\n -116.17492675781251,\n 40.68063802521456\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eccde4b0c8380cd494cf","contributors":{"authors":[{"text":"Theodore, T. 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Because nature provides abundant thermal forcing at the land surface, heat is particularly useful in studying stream-groundwater interactions. This appendix describes methods for obtaining the thermal data needed in heat-based investigations of shallow subsurface flow.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Heat as a tool for studying the movement of ground water near streams (Cir1260)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Stonestrom, D.A., and Blasch, K.W., 2003, Determining temperature and thermal properties for heat-based studies of surface-water ground-water interactions: Appendix A of Heat as a tool for studying the movement of ground water near streams (Cir1260), 8 p.","productDescription":"8 p.","startPage":"73","endPage":"80","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":350768,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/2003/circ1260/pdf/Circ1260.pdf#page=73"},{"id":350769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7040d8e4b06e28e9cae501","contributors":{"editors":[{"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":726126,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Constantz, Jim","contributorId":66338,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","affiliations":[],"preferred":false,"id":726127,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"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":726124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726125,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70026345,"text":"70026345 - 2003 - Three-dimensional crustal structure of Long Valley caldera, California, and evidence for the migration of CO2 under Mammoth Mountain","interactions":[],"lastModifiedDate":"2012-03-12T17:20:24","indexId":"70026345","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional crustal structure of Long Valley caldera, California, and evidence for the migration of CO2 under Mammoth Mountain","docAbstract":"A temporary network of 69 three-component seismic stations captured a major seismic sequence in Long Valley caldera in 1997. We performed a tomographic inversion for crustal structure beneath a 28 km ?? 16 km area encompassing part of the resurgent dome, the south moat, and Mammoth Mountain. Resolution of crustal structure beneath the center of the study volume was good down to ???3 km below sea level (???5 km below the surface). Relatively high wave speeds are associated with the Bishop Tuff and lower wave speeds characterize debris in the surrounding moat. A low-Vp/Vs anomaly extending from near the surface to ???1 km below sea level beneath Mammoth Mountain may represent a CO2 reservoir that is supplying CO2-rich springs, venting at the surface, and killing trees. We investigated temporal variations in structure beneath Mammoth Mountain by differencing our results with tomographic images obtained using data from 1989/1990. Significant changes in both Vp and Vs were consistent with the migration of CO2 into the upper 2 km or so beneath Mammoth Mountain and its depletion in peripheral volumes that correlate with surface venting areas. Repeat tomography is capable of detecting the migration of gas beneath active silicic volcanoes and may thus provide a useful volcano monitoring tool.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"01480227","usgsCitation":"Foulger, G., Julian, B., Pitt, A., Hill, D., Malin, P., and Shalev, E., 2003, Three-dimensional crustal structure of Long Valley caldera, California, and evidence for the migration of CO2 under Mammoth Mountain: Journal of Geophysical Research B: Solid Earth, v. 108, no. 3.","costCenters":[],"links":[{"id":234472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb323e4b08c986b325bdd","contributors":{"authors":[{"text":"Foulger, G.R.","contributorId":14439,"corporation":false,"usgs":false,"family":"Foulger","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":409093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Julian, B.R.","contributorId":101272,"corporation":false,"usgs":true,"family":"Julian","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":409097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitt, A.D.","contributorId":41440,"corporation":false,"usgs":true,"family":"Pitt","given":"A.D.","affiliations":[],"preferred":false,"id":409095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, D.P.","contributorId":27432,"corporation":false,"usgs":true,"family":"Hill","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":409094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malin, P.E.","contributorId":108104,"corporation":false,"usgs":true,"family":"Malin","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":409098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shalev, E.","contributorId":95659,"corporation":false,"usgs":true,"family":"Shalev","given":"E.","email":"","affiliations":[],"preferred":false,"id":409096,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159628,"text":"70159628 - 2003 - The collaborative historical African rainfall model: description and evaluation","interactions":[],"lastModifiedDate":"2018-02-21T14:13:17","indexId":"70159628","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"The collaborative historical African rainfall model: description and evaluation","docAbstract":"In Africa the variability of rainfall in space and time is high, and the general availability of historical gauge data is low. This makes many food security and hydrologic preparedness activities difficult. In order to help overcome this limitation, we have created the Collaborative Historical African Rainfall Model (CHARM). CHARM combines three sources of information: climatologically aided interpolated (CAI) rainfall grids (monthly/0.5° ), National Centers for Environmental Prediction reanalysis precipitation fields (daily/1.875° ) and orographic enhancement estimates (daily/0.1° ). The first set of weights scales the daily reanalysis precipitation fields to match the gridded CAI monthly rainfall time series. This produces data with a daily/0.5° resolution. A diagnostic model of orographic precipitation, VDELB—based on the dot-product of the surface wind V and terrain gradient (DEL) and atmospheric buoyancy B—is then used to estimate the precipitation enhancement produced by complex terrain. Although the data are produced on 0.1° grids to facilitate integration with satellite-based rainfall estimates, the ‘true’ resolution of the data will be less than this value, and varies with station density, topography, and precipitation dynamics. The CHARM is best suited, therefore, to applications that integrate rainfall or rainfall-driven model results over large regions.
\nThe CHARM time series is compared with three independent datasets: dekadal satellite-based rainfall estimates across the continent, dekadal interpolated gauge data in Mali, and daily interpolated gauge data in western Kenya. These comparisons suggest reasonable accuracies (standard errors of about half a standard deviation) when data are aggregated to regional scales, even at daily time steps. Thus constrained, numerical weather prediction precipitation fields do a reasonable job of representing large-scale diurnal variations.
\nA stepwise regression tree (SRT) algorithm was developed for approximating complex nonlinear relationships. Based on the regression tree of Breiman et al . (BRT) and a stepwise linear regression (SLR) method, this algorithm represents an improvement over SLR in that it can approximate nonlinear relationships and over BRT in that it gives more realistic predictions. The applicability of this method to estimating subpixel forest was demonstrated using three test data sets, on all of which it gave more accurate predictions than SLR and BRT. SRT also generated more compact trees and performed better than or at least as well as BRT at all 10 equal forest proportion interval ranging from 0 to 100%. This method is appealing to estimating subpixel land cover over large areas.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160305001","usgsCitation":"Huang, C., and Townshend, J., 2003, A stepwise regression tree for nonlinear approximation: applications to estimating subpixel land cover: International Journal of Remote Sensing, v. 24, no. 1, p. 75-90, https://doi.org/10.1080/01431160305001.","productDescription":"16 p.","startPage":"75","endPage":"90","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-11-26","publicationStatus":"PW","scienceBaseUri":"55e034aee4b0f42e3d040de5","contributors":{"authors":[{"text":"Huang, C.","contributorId":65255,"corporation":false,"usgs":true,"family":"Huang","given":"C.","email":"","affiliations":[],"preferred":false,"id":570295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Townshend, J.R.G.","contributorId":15321,"corporation":false,"usgs":true,"family":"Townshend","given":"J.R.G.","email":"","affiliations":[],"preferred":false,"id":570296,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156524,"text":"70156524 - 2003 - IKONOS geometric characterization","interactions":[],"lastModifiedDate":"2015-08-24T12:36:53","indexId":"70156524","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"IKONOS geometric characterization","docAbstract":"The IKONOS spacecraft acquired images on July 3, 17, and 25, and August 13, 2001 of Brookings SD, a small city in east central South Dakota, and on May 22, June 30, and July 30, 2000, of the rural area around the EROS Data Center. South Dakota State University (SDSU) evaluated the Brookings scenes and the USGS EROS Data Center (EDC) evaluated the other scenes. The images evaluated by SDSU utilized various natural objects and man-made features as identifiable targets randomly distribution throughout the scenes, while the images evaluated by EDC utilized pre-marked artificial points (panel points) to provide the best possible targets distributed in a grid pattern. Space Imaging provided products at different processing levels to each institution. For each scene, the pixel (line, sample) locations of the various targets were compared to field observed, survey-grade Global Positioning System locations. Patterns of error distribution for each product were plotted, and a variety of statistical statements of accuracy are made. The IKONOS sensor also acquired 12 pairs of stereo images of globally distributed scenes between April 2000 and April 2001. For each scene, analysts at the National Imagery and Mapping Agency (NIMA) compared derived photogrammetric coordinates to their corresponding NIMA field-surveyed ground control point (GCPs). NIMA analysts determined horizontal and vertical accuracies by averaging the differences between the derived photogrammetric points and the field-surveyed GCPs for all 12 stereo pairs. Patterns of error distribution for each scene are presented.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2003.04.002","usgsCitation":"Helder, D., Coan, M., Patrick, K., and Gaska, P., 2003, IKONOS geometric characterization: Remote Sensing of Environment, v. 88, no. 1-2, p. 69-79, https://doi.org/10.1016/j.rse.2003.04.002.","productDescription":"11 p.","startPage":"69","endPage":"79","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dc402fe4b0518e354d1101","contributors":{"authors":[{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":99714,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","affiliations":[],"preferred":false,"id":569385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coan, Michael mcoan@usgs.gov","contributorId":5398,"corporation":false,"usgs":true,"family":"Coan","given":"Michael","email":"mcoan@usgs.gov","affiliations":[],"preferred":true,"id":569386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Kevin","contributorId":146904,"corporation":false,"usgs":false,"family":"Patrick","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":569387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaska, Peter","contributorId":146905,"corporation":false,"usgs":false,"family":"Gaska","given":"Peter","email":"","affiliations":[],"preferred":false,"id":569388,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70025259,"text":"70025259 - 2003 - Environmental Resources Analysis System, A Prototype DSS","interactions":[],"lastModifiedDate":"2012-03-12T17:20:29","indexId":"70025259","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Environmental Resources Analysis System, A Prototype DSS","docAbstract":"Since the 1960's, an increase in the public's environmental ethics, federal species preservation, water quality protection, and interest in free flowing rivers have evolved to the current concern for stewardship and conservation of natural resources. This heightened environmental awareness creates an appetite for data, models, information management, and systematic analysis of multiple scientific disciplines. A good example of this information and analysis need resides in the Green and Yampa Rivers, tributary to the Upper Colorado River. These rivers are home to endangered native fish species including the pikeminnow and razorback sucker. Two dams, Fontenelle and Flaming Gorge, impound the Green River headwaters. The respective reservoirs store water supplies as well as generate hydropower. Conversely, the Yampa River is considered unregulated and encompasses most of Dinosaur National Monument. Recreation is highly regarded on both rivers including fishing, whitewater rafting, and aesthetic values. Vast areas of irrigated agriculture, forestry, and mineral extraction also surround these rivers. To address this information need, we developed a prototype Environmental Resources Analysis System (ERAS) spreadsheet-based decision support system (DSS). ERAS provides access to historic data sets, scientific information, statistical analysis, model outputs, and comparative methods all in a familiar and user-friendly format. This research project demonstrates a simplified decision support system for use by a diverse mix of resource managers, special interest groups, and individuals concerned about the sustainability of the Green and Yampa River ecosystem.","largerWorkTitle":"World Water and Environmental Resources Congress","conferenceTitle":"World Water and Environmental Resources Congress 2003","conferenceDate":"23 June 2003 through 26 June 2003","conferenceLocation":"Philadelphia, PA","language":"English","isbn":"0784406855","usgsCitation":"Flug, M., and Campbell, S., 2003, Environmental Resources Analysis System, A Prototype DSS, in World Water and Environmental Resources Congress, Philadelphia, PA, 23 June 2003 through 26 June 2003, p. 2737-2745.","startPage":"2737","endPage":"2745","numberOfPages":"9","costCenters":[],"links":[{"id":235734,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0996e4b0c8380cd51fa0","contributors":{"editors":[{"text":"Bizier, P.","contributorId":113211,"corporation":false,"usgs":true,"family":"Bizier","given":"P.","email":"","affiliations":[],"preferred":false,"id":508805,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"DeBarry, P.","contributorId":111431,"corporation":false,"usgs":true,"family":"DeBarry","given":"P.","email":"","affiliations":[],"preferred":false,"id":508804,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Flug, M.","contributorId":57419,"corporation":false,"usgs":true,"family":"Flug","given":"M.","affiliations":[],"preferred":false,"id":404490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, S.G.","contributorId":37694,"corporation":false,"usgs":true,"family":"Campbell","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":404489,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70025349,"text":"70025349 - 2003 - Extension of EMA to address regional skew and low outliers","interactions":[],"lastModifiedDate":"2012-03-12T17:20:29","indexId":"70025349","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Extension of EMA to address regional skew and low outliers","docAbstract":"The recently developed expected moments algorithm [EMA] (Cohn et al. 1997) does as well as MLEs at estimating LP3 flood quantiles using systematic and historical information. Needed extensions include use of a regional skewness estimator and its precision to be consistent with Bulletin 17B and to make use of such hydrologic information. Another issue addressed by Bulletin 17B is the treatment of low outliers. A Monte Carlo study illustrates the performance of an extended EMA estimator compared to estimators that employ the complete data set with and without use of regional skew, conditional probability adjustment from Bulletin 17B, and an estimator that uses probability plot regression to compute substitute values for low outliers. Estimators that use a regional skew all do better than estimators that fail to use an informative regional skewness estimator. For LP3 data, the low outlier rejection procedure results in no loss of overall accuracy, and the differences between the MSEs of the estimators that used an informative regional skew were generally negligible in the skew range of real interest.","largerWorkTitle":"World Water and Environmental Resources Congress","conferenceTitle":"World Water and Environmental Resources Congress 2003","conferenceDate":"23 June 2003 through 26 June 2003","conferenceLocation":"Philadelphia, PA","language":"English","isbn":"0784406855","usgsCitation":"Griffis, V., Stedinger, J., and Cohn, T., 2003, Extension of EMA to address regional skew and low outliers, in World Water and Environmental Resources Congress, Philadelphia, PA, 23 June 2003 through 26 June 2003, p. 1863-1872.","startPage":"1863","endPage":"1872","numberOfPages":"10","costCenters":[],"links":[{"id":235965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0e43e4b0c8380cd53390","contributors":{"editors":[{"text":"Bizier, P.","contributorId":113211,"corporation":false,"usgs":true,"family":"Bizier","given":"P.","email":"","affiliations":[],"preferred":false,"id":508817,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"DeBarry, P.","contributorId":111431,"corporation":false,"usgs":true,"family":"DeBarry","given":"P.","email":"","affiliations":[],"preferred":false,"id":508816,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Griffis, V.W.","contributorId":29616,"corporation":false,"usgs":true,"family":"Griffis","given":"V.W.","email":"","affiliations":[],"preferred":false,"id":404849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stedinger, J.R.","contributorId":90733,"corporation":false,"usgs":true,"family":"Stedinger","given":"J.R.","affiliations":[],"preferred":false,"id":404851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohn, T.A.","contributorId":84789,"corporation":false,"usgs":true,"family":"Cohn","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":404850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70024635,"text":"70024635 - 2003 - Landsat multispectral sharpening using a sensor system model and panchromatic image","interactions":[],"lastModifiedDate":"2012-03-12T17:20:07","indexId":"70024635","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat multispectral sharpening using a sensor system model and panchromatic image","docAbstract":"The thematic mapper (TM) sensor aboard Landsats 4, 5 and enhanced TM plus (ETM+) on Landsat 7 collect imagery at 30-m sample distance in six spectral bands. New with ETM+ is a 15-m panchromatic (P) band. With image sharpening techniques, this higher resolution P data, or as an alternative, the 10-m (or 5-m) P data of the SPOT satellite, can increase the spatial resolution of the multispectral (MS) data. Sharpening requires that the lower resolution MS image be coregistered and resampled to the P data before high spatial frequency information is transferred to the MS data. For visual interpretation and machine classification tasks, it is important that the sharpened data preserve the spectral characteristics of the original low resolution data. A technique was developed for sharpening (in this case, 3:1 spatial resolution enhancement) visible spectral band data, based on a model of the sensor system point spread function (PSF) in order to maintain spectral fidelity. It combines high-pass (HP) filter sharpening methods with iterative image restoration to reduce degradations caused by sensor-system-induced blurring and resembling. Also there is a spectral fidelity requirement: sharpened MS when filtered by the modeled degradations should reproduce the low resolution source MS. Quantitative evaluation of sharpening performance was made by using simulated low resolution data generated from digital color-IR aerial photography. In comparison to the HP-filter-based sharpening method, results for the technique in this paper with simulated data show improved spectral fidelity. Preliminary results with TM 30-m visible band data sharpened with simulated 10-m panchromatic data are promising but require further study.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"PROCEEDINGS OF SPIE SPIE - The International Society for Optical Engineering: Visual Information Processing XII","conferenceDate":"21 April 2003 through 21 April 2003","conferenceLocation":"Orlando, FL","language":"English","doi":"10.1117/12.487262","issn":"0277786X","usgsCitation":"Lemeshewsky, G., 2003, Landsat multispectral sharpening using a sensor system model and panchromatic image, in Proceedings of SPIE - The International Society for Optical Engineering, v. 5108, Orlando, FL, 21 April 2003 through 21 April 2003, p. 295-306, https://doi.org/10.1117/12.487262.","startPage":"295","endPage":"306","numberOfPages":"12","costCenters":[],"links":[{"id":207825,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.487262"},{"id":233059,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5108","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43eee4b0c8380cd666e6","contributors":{"editors":[{"text":"Rahman Z.Schowengerdt R.A.Reichenbach S.E.","contributorId":128448,"corporation":true,"usgs":false,"organization":"Rahman Z.Schowengerdt R.A.Reichenbach S.E.","id":536535,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lemeshewsky, G.P.","contributorId":106927,"corporation":false,"usgs":true,"family":"Lemeshewsky","given":"G.P.","affiliations":[],"preferred":false,"id":402046,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":85404,"text":"85404 - 2003 - Wolf population dynamics","interactions":[{"subject":{"id":85404,"text":"85404 - 2003 - Wolf population dynamics","indexId":"85404","publicationYear":"2003","noYear":false,"chapter":"6","title":"Wolf population dynamics"},"predicate":"IS_PART_OF","object":{"id":93844,"text":"93844 - 2003 - Wolves: Behavior, ecology, and conservation","indexId":"93844","publicationYear":"2003","noYear":false,"title":"Wolves: Behavior, ecology, and conservation"},"id":1}],"isPartOf":{"id":93844,"text":"93844 - 2003 - Wolves: Behavior, ecology, and conservation","indexId":"93844","publicationYear":"2003","noYear":false,"title":"Wolves: Behavior, ecology, and conservation"},"lastModifiedDate":"2017-06-04T11:18:41","indexId":"85404","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Wolf population dynamics","docAbstract":"A large, dark wolf poked his nose out of the pines in Yellowstone National Park as he thrust a broad foot deep into the snow and plowed ahead. Soon a second animal appeared, then another, and a fourth. A few minutes later, a pack of thirteen lanky wolves had filed out of the pines and onto the open hillside.
Wolf packs are the main social units of a wolf population. As numbers of wolves in packs change, so too, then, does the wolf population (Rausch 1967). Trying to understand the factors and mechanisms that affect these changes is what the field of wolf population dynamics is all about. In this chapter, we will explore this topic using two main approaches: (1) meta-analysis using data from studies from many areas and periods, and (2) case histories of key long-term studies. The combination presents a good picture – a picture, however, that is still incomplete. We also caution that the data sets summarized in the analyses represent snapshots of wolf population dynamics under widely varying conditions and population trends, and that the figures used are usually composites or averages. Nevertheless, they should allow generalizations that provide important insight into wolf population dynamics.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wolves: Behavior, ecology, and conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of Chicago Press","publisherLocation":"Chicago, IL","isbn":"9780226516974","usgsCitation":"Fuller, T.K., Mech, L.D., and Cochrane, J.F., 2003, Wolf population dynamics, chap. 6 of Wolves: Behavior, ecology, and conservation, p. 161-191.","productDescription":"31 p.","startPage":"161","endPage":"191","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":128754,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341057,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://press.uchicago.edu/ucp/books/book/chicago/W/bo3641392.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d9e4b07f02db5dfa98","contributors":{"editors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":504507,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Boitani, Luigi","contributorId":32454,"corporation":false,"usgs":true,"family":"Boitani","given":"Luigi","affiliations":[],"preferred":false,"id":504506,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Fuller, Todd K.","contributorId":35700,"corporation":false,"usgs":true,"family":"Fuller","given":"Todd","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":296042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":296041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochrane, Jean Fitts","contributorId":92416,"corporation":false,"usgs":true,"family":"Cochrane","given":"Jean","email":"","middleInitial":"Fitts","affiliations":[],"preferred":false,"id":296040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70025289,"text":"70025289 - 2003 - Modeling the Radiance of the Moon for On-orbit Calibration","interactions":[],"lastModifiedDate":"2012-03-12T17:20:57","indexId":"70025289","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling the Radiance of the Moon for On-orbit Calibration","docAbstract":"The RObotic Lunar Observatory (ROLO) project has developed radiometric models of the Moon for disk-integrated irradiance and spatially resolved radiance. Although the brightness of the Moon varies spatially and with complex dependencies upon illumination and viewing geometry, the surface photometric properties are extremely stable, and therefore potentially knowable to high accuracy. The ROLO project has acquired 5+ years of spatially resolved lunar images in 23 VNIR and 9 SWIR filter bands at phase angles up to 90??. These images are calibrated to exoatmospheric radiance using nightly stellar observations in a band-coupled extinction algorithm and a radiometric scale based upon observations of the star Vega. An effort is currently underway to establish an absolute scale with direct traceability to NIST radiometric standards. The ROLO radiance model performs linear fitting of the spatially resolved lunar image data on an individual pixel basis. The results are radiance images directly comparable to spacecraft observations of the Moon. Model-generated radiance images have been produced for the ASTER lunar view conducted on 14 April 2003. The radiance model is still experimental - simplified photometric functions have been used, and initial results show evidence of computational instabilities, particularly at the lunar poles. The ROLO lunar image dataset is unique and extensive and presents opportunities for development of novel approaches to lunar photometric modeling.","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"Earth Observing Systems VIII","conferenceDate":"3 August 2003 through 6 August 2003","conferenceLocation":"San Diego, CA","language":"English","doi":"10.1117/12.506117","issn":"0277786X","usgsCitation":"Stone, T., Kieffer, H.H., and Becker, K., 2003, Modeling the Radiance of the Moon for On-orbit Calibration, in Proceedings of SPIE - The International Society for Optical Engineering, v. 5151, San Diego, CA, 3 August 2003 through 6 August 2003, p. 463-470, https://doi.org/10.1117/12.506117.","startPage":"463","endPage":"470","numberOfPages":"8","costCenters":[],"links":[{"id":209587,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.506117"},{"id":236219,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5151","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c39e4b0c8380cd6fb01","contributors":{"editors":[{"text":"Barnes W.L.","contributorId":128354,"corporation":true,"usgs":false,"organization":"Barnes W.L.","id":536552,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Stone, T.C.","contributorId":74874,"corporation":false,"usgs":true,"family":"Stone","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":404632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kieffer, H. H.","contributorId":40725,"corporation":false,"usgs":false,"family":"Kieffer","given":"H.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":404631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, K.J.","contributorId":88111,"corporation":false,"usgs":true,"family":"Becker","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":404633,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}