Recent interest in using forest residues and small-diameter material for biofuels is generating a renewed focus on harvesting impacts and forest sustainability. The rich legacy of research from whole-tree harvesting studies can be examined in light of this interest. Although this research largely focused on consequences for forest productivity, in particular carbon and nutrient pools, it also has relevance for examining potential consequences for biodiversity and aquatic ecosystems. This review is framed within a context of contrasting ecosystem impacts from whole-tree harvesting because it represents a high level of biomass removal. Although whole-tree harvesting does not fully use the nonmerchantable biomass available, it indicates the likely direction and magnitude of impacts that can occur through energy-wood harvesting compared with less-intensive conventional harvesting and to dynamics associated with various natural disturbances. The intent of this comparison is to gauge the degree of departure of energy-wood harvesting from less intensive conventional harvesting. The review of the literature found a gradient of increasing departure in residual structural conditions that remained in the forest when conventional and whole-tree harvesting was compared with stand-replacing natural disturbance. Important stand- and landscape-level processes were related to these structural conditions. The consequence of this departure may be especially potent because future energy-wood harvests may more completely use a greater range of forest biomass at potentially shortened rotations, creating a great need for research that explores the largely unknown scale of disturbance that may apply to our forest ecosystems.
","language":"English","publisher":"Society of American Foresters","doi":"10.5849/jof.12-020","usgsCitation":"Berger, A.L., Palik, B., D’Amato, A.W., Fraver, S., Bradford, J.B., Nislow, K., King, D., and Brooks, R.T., 2013, Ecological impacts of energy-wood harvests: Lessons from whole-tree harvesting and natural disturbance: Journal of Forestry, v. 111, no. 2, p. 139-153, https://doi.org/10.5849/jof.12-020.","productDescription":"15 p.","startPage":"139","endPage":"153","ipdsId":"IP-037095","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/jof.12-020","text":"Publisher Index Page"},{"id":274902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfc5dbe4b0d332bf22f340","contributors":{"authors":[{"text":"Berger, Alaina L.","contributorId":26956,"corporation":false,"usgs":true,"family":"Berger","given":"Alaina","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palik, Brian","contributorId":34412,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","affiliations":[],"preferred":false,"id":480276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":480275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":480279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":480273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nislow, Keith H.","contributorId":60106,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith H.","affiliations":[],"preferred":false,"id":480277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"King, David","contributorId":95782,"corporation":false,"usgs":true,"family":"King","given":"David","affiliations":[],"preferred":false,"id":480280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brooks, Robert T.","contributorId":61731,"corporation":false,"usgs":true,"family":"Brooks","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":480278,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70046883,"text":"70046883 - 2013 - Consideration of vertical uncertainty in elevation-based sea-level rise assessments: Mobile Bay, Alabama case study","interactions":[],"lastModifiedDate":"2013-07-11T12:42:41","indexId":"70046883","displayToPublicDate":"2013-07-11T12:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Consideration of vertical uncertainty in elevation-based sea-level rise assessments: Mobile Bay, Alabama case study","docAbstract":"The accuracy with which coastal topography has been mapped directly affects the reliability and usefulness of elevationbased sea-level rise vulnerability assessments. Recent research has shown that the qualities of the elevation data must be well understood to properly model potential impacts. The cumulative vertical uncertainty has contributions from elevation data error, water level data uncertainties, and vertical datum and transformation uncertainties. The concepts of minimum sealevel rise increment and minimum planning timeline, important parameters for an elevation-based sea-level rise assessment, are used in recognition of the inherent vertical uncertainty of the underlying data. These concepts were applied to conduct a sea-level rise vulnerability assessment of the Mobile Bay, Alabama, region based on high-quality lidar-derived elevation data. The results that detail the area and associated resources (land cover, population, and infrastructure) vulnerable to a 1.18-m sea-level rise by the year 2100 are reported as a range of values (at the 95% confidence level) to account for the vertical uncertainty in the base data. Examination of the tabulated statistics about land cover, population, and infrastructure in the minimum and maximum vulnerable areas shows that these resources are not uniformly distributed throughout the overall vulnerable zone. The methods demonstrated in the Mobile Bay analysis provide an example of how to consider and properly account for vertical uncertainty in elevation-based sea-level rise vulnerability assessments, and the advantages of doing so.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-016.1","usgsCitation":"Gesch, D.B., 2013, Consideration of vertical uncertainty in elevation-based sea-level rise assessments: Mobile Bay, Alabama case study: Journal of Coastal Research, v. 63, p. 197-210, https://doi.org/10.2112/SI63-016.1.","productDescription":"14 p.","startPage":"197","endPage":"210","ipdsId":"IP-034553","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":274874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274712,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.2112/SI63-016.1"},{"id":274873,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-016.1"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.1643,30.2646 ], [ -88.1643,30.6972 ], [ -87.7397,30.6972 ], [ -87.7397,30.2646 ], [ -88.1643,30.2646 ] ] ] } } ] }","volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfc5dae4b0d332bf22f335","contributors":{"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","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},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480561,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70147933,"text":"70147933 - 2013 - The predicted influence of climate change on lesser prairie-chicken reproductive parameters","interactions":[],"lastModifiedDate":"2017-02-23T14:05:44","indexId":"70147933","displayToPublicDate":"2013-07-11T12:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The predicted influence of climate change on lesser prairie-chicken reproductive parameters","docAbstract":"The Southern High Plains is anticipated to experience significant changes in temperature and precipitation due to climate change. These changes may influence the lesser prairie-chicken (Tympanuchus pallidicinctus) in positive or negative ways. We assessed the potential changes in clutch size, incubation start date, and nest survival for lesser prairie-chickens for the years 2050 and 2080 based on modeled predictions of climate change and reproductive data for lesser prairie-chickens from 2001-2011 on the Southern High Plains of Texas and New Mexico. We developed 9 a priori models to assess the relationship between reproductive parameters and biologically relevant weather conditions. We selected weather variable(s) with the most model support and then obtained future predicted values from climatewizard.org. We conducted 1,000 simulations using each reproductive parameter's linear equation obtained from regression calculations, and the future predicted value for each weather variable to predict future reproductive parameter values for lesser prairie-chickens. There was a high degree of model uncertainty for each reproductive value. Winter temperature had the greatest effect size for all three parameters, suggesting a negative relationship between above-average winter temperature and reproductive output. The above-average winter temperatures are correlated to La Nina events, which negatively affect lesser prairie-chickens through resulting drought conditions. By 2050 and 2080, nest survival was predicted to be below levels considered viable for population persistence; however, our assessment did not consider annual survival of adults, chick survival, or the positive benefit of habitat management and conservation, which may ultimately offset the potentially negative effect of drought on nest survival.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0068225","usgsCitation":"Grisham, B.A., Boal, C.W., Haukos, D.A., Davis, D., Boydston, K.K., Dixon, C., and Heck, W.R., 2013, The predicted influence of climate change on lesser prairie-chicken reproductive parameters: PLoS ONE, v. 8, no. 7, p. 1-10, https://doi.org/10.1371/journal.pone.0068225.","productDescription":"10 p.","startPage":"1","endPage":"10","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043440","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":582,"text":"Texas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0068225","text":"Publisher Index Page"},{"id":300284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-11","publicationStatus":"PW","scienceBaseUri":"5551d2bde4b0a92fa7e93c19","contributors":{"authors":[{"text":"Grisham, Blake A.","contributorId":75419,"corporation":false,"usgs":true,"family":"Grisham","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":546638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":546432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, D.","contributorId":85747,"corporation":false,"usgs":true,"family":"Davis","given":"D.","affiliations":[],"preferred":false,"id":546640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boydston, Kathy K.","contributorId":15501,"corporation":false,"usgs":true,"family":"Boydston","given":"Kathy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":546641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dixon, Charles","contributorId":68203,"corporation":false,"usgs":true,"family":"Dixon","given":"Charles","email":"","affiliations":[],"preferred":false,"id":546642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heck, Willard R.","contributorId":61732,"corporation":false,"usgs":true,"family":"Heck","given":"Willard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":546643,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046724,"text":"sir20135108 - 2013 - Geology, water-quality, hydrology, and geomechanics of the Cuyama Valley groundwater basin, California, 2008--12","interactions":[],"lastModifiedDate":"2013-07-11T11:56:45","indexId":"sir20135108","displayToPublicDate":"2013-07-11T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5108","title":"Geology, water-quality, hydrology, and geomechanics of the Cuyama Valley groundwater basin, California, 2008--12","docAbstract":"To assess the water resources of the Cuyama Valley groundwater basin in Santa Barbara County, California, a series of cooperative studies were undertaken by the U.S. Geological Survey and the Santa Barbara County Water Agency. Between 2008 and 2012, geologic, water-quality, hydrologic and geomechanical data were collected from selected sites throughout the Cuyama Valley groundwater basin.\n\nGeologic data were collected from three multiple-well groundwater monitoring sites and included lithologic descriptions of the drill cuttings, borehole geophysical logs, temperature logs, as well as bulk density and sonic velocity measurements of whole-core samples.\n\nGeneralized lithologic characterization from the monitoring sites indicated the water-bearing units in the subsurface consist of unconsolidated to partly consolidated sand, gravel, silt, clay, and occasional cobbles within alluvial fan and stream deposits. Analysis of geophysical logs indicated alternating layers of finer- and coarser-grained material that range from less than 1 foot to more than 20 feet thick. On the basis of the geologic data collected, the principal water-bearing units beneath the monitoring-well sites were found to be composed of younger alluvium of Holocene age, older alluvium of Pleistocene age, and the Tertiary-Quaternary Morales Formation. At all three sites, the contact between the recent fill and younger alluvium is approximately 20 feet below land surface.\n\nWater-quality samples were collected from 12 monitoring wells, 27 domestic and supply wells, 2 springs, and 4 surface-water sites and were analyzed for a variety of constituents that differed by site, but, in general, included trace elements; nutrients; dissolved organic carbon; major and minor ions; silica; total dissolved solids; alkalinity; total arsenic and iron; arsenic, chromium, and iron species; and isotopic tracers, including the stable isotopes of hydrogen and oxygen, activities of tritium, and carbon-14 abundance.\n\nOf the 39 wells sampled, concentrations of total dissolved solids and sulfate from 38 and 37 well samples, respectively, were greater than the U.S. Environmental Protection Agency’s secondary maximum contaminant levels. Concentrations greater than the maximum contaminant levels for nitrate were observed in five wells and were observed for arsenic in four wells.\n\nDifferences in the stable-isotopic values of hydrogen and oxygen among groundwater samples indicated that water does not move freely between different formations or between different zones within the Cuyama Valley. Variations in isotopic composition indicated that recharge is derived from several different sources. The age of the groundwater, expressed as time since recharge, was between 600 and 38,000 years before present. Detectable concentrations of tritium indicated that younger water, recharged since the early 1950s, is present in parts of the groundwater basin.\n\nHydrologic data were collected from 12 monitoring wells, 56 domestic and supply wells, 3 surface-water sites, and 4 rainfall-gaging stations. Rainfall in the valley averaged about 8 inches annually, whereas the mountains to the south received between 12 and 19 inches. Stream discharge records showed seasonal variability in surface-water flows ranging from no-flow to over 1,500 cubic feet per second. During periods when inflow to the valley exceeds outflow, there is potential recharge from stream losses to the groundwater system\n\nWater-level records included manual quarterly depth-to-water measurements collected from 68 wells, time-series data collected from 20 of those wells, and historic water levels from 16 wells. Hydrographs of the manual measurements showed declining water levels in 16 wells, mostly in the South-Main zone, and rising water levels in 14 wells, mostly in the Southern Ventucopa Uplands. Time-series hydrographs showed daily, seasonal, and longer-term effects associated with local pumping. Water-level data from the multiple-well monitoring sites indicated seasonal fluctuations as great as 80 feet and water-level differences between aquifers as great as 40 feet during peak pumping season. Hydrographs from the multiple-well groundwater monitoring sites showed vertical hydraulic gradients were upward during the winter months and downward during the irrigation season. Historic hydrographs showed water-level declines in the Southern-Main, Western Basin, Caliente Northern-Main, and Southern Sierra Madre zone ranging from 1 to 7 feet per year. Hydrographs of wells in the Southern Ventucopa Uplands zone showed several years with marked increases in water levels that corresponded to increased precipitation in the Cuyama Valley.\n\nInvestigation of hydraulic properties included hydraulic conductivity and transmissivity estimated from aquifer tests performed on 63 wells. Estimates of horizontal hydraulic conductivity ranged from about 1.5 to 28 feet per day and decreased with depth. The median estimated hydraulic conductivity for the older alluvium was about five times that estimated for the Morales Formation. Estimates of transmissivity ranged from 560 to 163,400 gallons per day per foot and decreased with depth. The median estimated transmissivity for the younger alluvium was about three times that estimated for the older alluvium.\n\nGeomechanical analysis included land-surface elevation changes at five continuously operating global positioning systems (GPS) and land-subsidence detection at five interferometric synthetic aperture radar (InSAR) reference points. Analysis of data collected from continuously operating GPS stations showed the mountains to the south and west moved upward about 1 millimeter (mm) annually, whereas the station in the center of the Southern-Main zone moved downward more than 7 mm annually, indicating subsidence. It is likely that this subsidence is inelastic (permanent) deformation and indicates reduced storage capacity in the aquifer sediments. Analysis of InSAR data showed local and regional changes that appeared to be dependent, in part, on the time span of the interferogram, seasonal variations in pumping, and tectonic uplift. Long-term InSAR time series showed a total maximum detected subsidence rate of approximately 12 mm per year at one location and approximately 8 mm per year at a second location, while short-term InSAR time series showed maximum subsidence of about 15 mm at one location and localized maximum uplift of about 10 mm at another location.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135108","collaboration":"Prepared in cooperation with the County of Santa Barbara","usgsCitation":"Everett, R., Gibbs, D.R., Hanson, R.T., Sweetkind, D., Brandt, J.T., Falk, S.E., and Harich, C.R., 2013, Geology, water-quality, hydrology, and geomechanics of the Cuyama Valley groundwater basin, California, 2008--12: U.S. Geological Survey Scientific Investigations Report 2013-5108, x, 62 p.; Tables, https://doi.org/10.3133/sir20135108.","productDescription":"x, 62 p.; Tables","numberOfPages":"76","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":274317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135108.jpg"},{"id":274316,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5108/pdf/sir20135108_tables.xlsx"},{"id":274314,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5108/"},{"id":274315,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5108/pdf/sir2013-5108.pdf"}],"country":"United States","state":"California","otherGeospatial":"Cuyama Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.833333,34.666667 ], [ -119.833333,35.1 ], [ -119.166667,35.1 ], [ -119.166667,34.666667 ], [ -119.833333,34.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d6e4b0ca184833899f","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, Dennis R.","contributorId":21050,"corporation":false,"usgs":true,"family":"Gibbs","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":480107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Justin T. 0000-0002-9397-6824","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":28326,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":480109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falk, Sarah E. sefalk@usgs.gov","contributorId":1056,"corporation":false,"usgs":true,"family":"Falk","given":"Sarah","email":"sefalk@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":480105,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harich, Christopher R. charich@usgs.gov","contributorId":3917,"corporation":false,"usgs":true,"family":"Harich","given":"Christopher","email":"charich@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":480106,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046719,"text":"sir20135127 - 2013 - Construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin, California","interactions":[],"lastModifiedDate":"2013-07-11T11:57:26","indexId":"sir20135127","displayToPublicDate":"2013-07-11T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5127","title":"Construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin, California","docAbstract":"Groundwater is the sole source of water supply in Cuyama Valley, a rural agricultural area in Santa Barbara County, California, in the southeasternmost part of the Coast Ranges of California. Continued groundwater withdrawals and associated water-resource management concerns have prompted an evaluation of the hydrogeology and water availability for the Cuyama Valley groundwater basin by the U.S. Geological Survey, in cooperation with the Water Agency Division of the Santa Barbara County Department of Public Works. As a part of the overall groundwater evaluation, this report documents the construction of a digital three-dimensional geologic framework model of the groundwater basin suitable for use within a numerical hydrologic-flow model. The report also includes an analysis of the spatial variability of lithology and grain size, which forms the geologic basis for estimating aquifer hydraulic properties.\n\nThe geologic framework was constructed as a digital representation of the interpreted geometry and thickness of the principal stratigraphic units within the Cuyama Valley groundwater basin, which include younger alluvium, older alluvium, and the Morales Formation, and underlying consolidated bedrock. The framework model was constructed by creating gridded surfaces representing the altitude of the top of each stratigraphic unit from various input data, including lithologic and electric logs from oil and gas wells and water wells, cross sections, and geologic maps.\n\nSediment grain-size data were analyzed in both two and three dimensions to help define textural variations in the Cuyama Valley groundwater basin and identify areas with similar geologic materials that potentially have fairly uniform hydraulic properties. Sediment grain size was used to construct three-dimensional textural models that employed simple interpolation between drill holes and two-dimensional textural models for each stratigraphic unit that incorporated spatial structure of the textural data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135127","usgsCitation":"Sweetkind, D., Faunt, C., and Hanson, R.T., 2013, Construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin, California: U.S. Geological Survey Scientific Investigations Report 2013-5127, vii, 46 p., https://doi.org/10.3133/sir20135127.","productDescription":"vii, 46 p.","numberOfPages":"58","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":274299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135127.jpg"},{"id":274297,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5127/"},{"id":274298,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5127/pdf/sir2013-5127.pdf"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cea254e4b044272b8e88fa","contributors":{"authors":[{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":480088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":480087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480086,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046964,"text":"70046964 - 2013 - Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore","interactions":[],"lastModifiedDate":"2017-04-06T15:21:36","indexId":"70046964","displayToPublicDate":"2013-07-11T10:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore","docAbstract":"The higher point density and mobility of terrestrial laser scanning (light detection and ranging (lidar)) is desired when extremely detailed elevation data are needed for mapping vertically orientated complex features such as levees, dunes, and cliffs, or when highly accurate data are needed for monitoring geomorphic changes. Mobile terrestrial lidar scanners have the capability for rapid data collection on a larger spatial scale compared with tripod-based terrestrial lidar, but few studies have examined the accuracy of this relatively new mapping technology. For this reason, we conducted a field test at Padre Island National Seashore of a mobile lidar scanner mounted on a sport utility vehicle and integrated with a position and orientation system. The purpose of the study was to assess the vertical and horizontal accuracy of data collected by the mobile terrestrial lidar system, which is georeferenced to the Universal Transverse Mercator coordinate system and the North American Vertical Datum of 1988. To accomplish the study objectives, independent elevation data were collected by conducting a high-accuracy global positioning system survey to establish the coordinates and elevations of 12 targets spaced throughout the 12 km transect. These independent ground control data were compared to the lidar scanner-derived elevations to quantify the accuracy of the mobile lidar system. The performance of the mobile lidar system was also tested at various vehicle speeds and scan density settings (e.g. field of view and linear point spacing) to estimate the optimal parameters for desired point density. After adjustment of the lever arm parameters, the final point cloud accuracy was 0.060 m (east), 0.095 m (north), and 0.053 m (height). The very high density of the resulting point cloud was sufficient to map fine-scale topographic features, such as the complex shape of the sand dunes.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.800658","usgsCitation":"Lim, S., Thatcher, C., Brock, J., Kimbrow, D.R., Danielson, J.J., and Reynolds, B., 2013, Accuracy assessment of a mobile terrestrial lidar survey at Padre Island National Seashore: International Journal of Remote Sensing, v. 34, no. 18, p. 6355-6366, https://doi.org/10.1080/01431161.2013.800658.","productDescription":"12 p.","startPage":"6355","endPage":"6366","ipdsId":"IP-045596","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":274864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274863,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.800658"}],"country":"United States","state":"Texas","city":"Corpus Christi","otherGeospatial":"Padre Island National Seashore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.4226,26.562 ], [ -97.4226,27.5382 ], [ -97.2588,27.5382 ], [ -97.2588,26.562 ], [ -97.4226,26.562 ] ] ] } } ] }","volume":"34","issue":"18","noUsgsAuthors":false,"publicationDate":"2013-06-10","publicationStatus":"PW","scienceBaseUri":"51dfc5d9e4b0d332bf22f32d","contributors":{"authors":[{"text":"Lim, Samsung","contributorId":34022,"corporation":false,"usgs":true,"family":"Lim","given":"Samsung","affiliations":[],"preferred":false,"id":480721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thatcher, Cindy A.","contributorId":79604,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy A.","affiliations":[],"preferred":false,"id":480723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":480718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimbrow, Dustin R. dkimbrow@usgs.gov","contributorId":3915,"corporation":false,"usgs":true,"family":"Kimbrow","given":"Dustin","email":"dkimbrow@usgs.gov","middleInitial":"R.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","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":480720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, B.J.","contributorId":47874,"corporation":false,"usgs":true,"family":"Reynolds","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":480722,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046971,"text":"ofr20131141 - 2013 - Preliminary stratigraphic and hydrogeologic cross sections and seismic profile of the Floridan aquifer system of Broward County, Florida","interactions":[],"lastModifiedDate":"2013-07-11T09:48:25","indexId":"ofr20131141","displayToPublicDate":"2013-07-11T09:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1141","title":"Preliminary stratigraphic and hydrogeologic cross sections and seismic profile of the Floridan aquifer system of Broward County, Florida","docAbstract":"To help water-resource managers evaluate the Floridan aquifer system (FAS) as an alternative water supply, the U.S. Geological Survey initiated a study, in cooperation with the Broward County Environmental Protection and Growth Management Department, to refine the hydrogeologic framework of the FAS in the eastern part of Broward County. This report presents three preliminary cross sections illustrating stratigraphy and hydrogeology in eastern Broward County as well as an interpreted seismic profile along one of the cross sections. Marker horizons were identified using borehole geophysical data and were initially used to perform well-to-well correlation. Core sample data were integrated with the borehole geophysical data to support stratigraphic and hydrogeologic interpretations of marker horizons. Stratigraphic and hydrogeologic units were correlated across the county using borehole geophysical data from multiple wells. Seismic-reflection data were collected along the Hillsboro Canal. Borehole geophysical data were used to identify and correlate hydrogeologic units in the seismic-reflection profile. Faults and collapse structures that intersect hydrogeologic units were also identified in the seismic profile. The information provided in the cross sections and the seismic profile is preliminary and subject to revision.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131141","collaboration":"Prepared in cooperation with Broward County, Florida","usgsCitation":"Reese, R.S., and Cunningham, K.J., 2013, Preliminary stratigraphic and hydrogeologic cross sections and seismic profile of the Floridan aquifer system of Broward County, Florida: U.S. Geological Survey Open-File Report 2013-1141, iv, 10 p.; 3 Plates: 37 x 38 inches; 4 Tables, https://doi.org/10.3133/ofr20131141.","productDescription":"iv, 10 p.; 3 Plates: 37 x 38 inches; 4 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":274861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131141.gif"},{"id":274852,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1141/"},{"id":274853,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1141/pdf/ofr2013-1141.pdf"},{"id":274856,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Plates/Plate03_Z-Z.pdf"},{"id":274854,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Plates/Plate01_A-A.pdf"},{"id":274857,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table01.xlsx"},{"id":274858,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table02.xlsx"},{"id":274855,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Plates/Plate02_C-C.pdf"},{"id":274859,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table03.xlsx"},{"id":274860,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1141/Downloads/Tables/Table04.xlsx"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.8814,25.9567 ], [ -80.8814,26.3347 ], [ -80.0153,26.3347 ], [ -80.0153,25.9567 ], [ -80.8814,25.9567 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfc5dce4b0d332bf22f34b","contributors":{"authors":[{"text":"Reese, Ronald S. rsreese@usgs.gov","contributorId":1090,"corporation":false,"usgs":true,"family":"Reese","given":"Ronald","email":"rsreese@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":480744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":480745,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046970,"text":"70046970 - 2013 - Calcification rates of the massive coral Siderastrea siderea and crustose coralline algae along the Florida Keys (USA) outer-reef tract","interactions":[],"lastModifiedDate":"2017-05-03T13:16:59","indexId":"70046970","displayToPublicDate":"2013-07-11T09:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Calcification rates of the massive coral Siderastrea siderea and crustose coralline algae along the Florida Keys (USA) outer-reef tract","docAbstract":"Coral reefs are degrading on a global scale, and rates of reef-organism calcification are predicted to decline due to ocean warming and acidification. Systematic measurements of calcification over space and time are necessary to detect change resulting from environmental stressors. We established a network of calcification monitoring stations at four managed reefs along the outer Florida Keys Reef Tract (FKRT) from Miami to the Dry Tortugas. Eighty colonies (in two sequential sets of 40) of the reef-building coral, Siderastrea siderea, were transplanted to fixed apparatus that allowed repetitive detachment for buoyant weighing every 6 months. Algal-recruitment tiles were also deployed during each weighing interval to measure net calcification of the crustose coralline algal (CCA) community. Coral-calcification rates were an order of magnitude greater than those of CCA. Rates of coral calcification were seasonal (summer calcification was 53% greater than winter), and corals in the Dry Tortugas calcified 48% faster than those at the other three sites. Linear extension rates were also highest in the Dry Tortugas, whereas percent area of the coral skeletons excavated by bioeroding fauna was lowest. The spatial patterns in net coral calcification revealed here correlate well with Holocene reef thickness along the FKRT and, in part, support the “inimical waters hypothesis” proposed by Ginsburg, Hudson, and Shinn almost 50 yrs ago to explain reef development in this region. Due to the homogeneity in coral-calcification rates among the three main Keys sites, we recommend refinement of this hypothesis and suggest that water-quality variables (e.g., carbonate mineral saturation state, dissolved and particulate organic matter, light attenuation) be monitored alongside calcification in future studies. Our results demonstrate that our calcification monitoring network presents a feasible and worthwhile approach to quantifying potential impacts of ocean acidification, warming, and/or deteriorating water quality on the process of calcification.
","language":"English","publisher":"Springer","doi":"10.1007/s00338-013-1047-8","usgsCitation":"Kuffner, I., Hickey, T., and Morrison, J., 2013, Calcification rates of the massive coral Siderastrea siderea and crustose coralline algae along the Florida Keys (USA) outer-reef tract: Coral Reefs, v. 32, no. 4, p. 987-997, https://doi.org/10.1007/s00338-013-1047-8.","productDescription":"11 p.","startPage":"987","endPage":"997","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042853","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473696,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-013-1047-8","text":"Publisher Index Page"},{"id":274851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335745,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7XP732P","text":"Data for evaluating the Sr/Ca temperature proxy with in-situ temperature in the western Atlantic coral Siderastrea siderea"},{"id":335750,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1TZK","text":"Underwater temperature on off-shore coral reefs of the Florida Keys, U.S.A."}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.91455078125,\n 25.94816628853973\n ],\n [\n -79.9200439453125,\n 25.54244147012483\n ],\n [\n -80.2166748046875,\n 25.04081549894912\n ],\n [\n -80.8648681640625,\n 24.56211235799689\n ],\n [\n -81.5789794921875,\n 24.412140070651528\n ],\n [\n -82.6336669921875,\n 24.382124181118236\n ],\n [\n -83.07861328125,\n 24.45215015618098\n ],\n [\n -83.1060791015625,\n 24.696934226366672\n ],\n [\n -82.5787353515625,\n 24.806681353851964\n ],\n [\n -81.3262939453125,\n 24.926294766395593\n ],\n [\n -80.760498046875,\n 25.224820176765036\n ],\n [\n -80.4364013671875,\n 25.606855993715016\n ],\n [\n -80.343017578125,\n 25.849336891707605\n ],\n [\n -80.2056884765625,\n 25.93828707492375\n ],\n [\n -80.04638671875,\n 25.96792222903405\n ],\n [\n -79.91455078125,\n 25.94816628853973\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-06-08","publicationStatus":"PW","scienceBaseUri":"51dfc5d9e4b0d332bf22f331","contributors":{"authors":[{"text":"Kuffner, I. B.","contributorId":40328,"corporation":false,"usgs":true,"family":"Kuffner","given":"I. B.","affiliations":[],"preferred":false,"id":480743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickey, T.D.","contributorId":17803,"corporation":false,"usgs":true,"family":"Hickey","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":480742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, J.M.","contributorId":9063,"corporation":false,"usgs":true,"family":"Morrison","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":480741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}