LiDAR (Light Detection and Ranging) surveys of karst terrains provide high-resolution digital elevation models (DEMs) that are particularly useful for mapping sinkholes. In this study, we used automated processing tools within ArcGIS (v. 10.0) operating on a 1.0 m resolution LiDAR DEM in order to delineate sinkholes and closed depressions in the Boyce 7.5 minute quadrangle located in the northern Shenandoah Valley of Virginia. The results derived from the use of the automated tools were then compared with depressions manually delineated by a geologist. Manual delineation of closed depressions was conducted using a combination of 1.0 m DEM hillshade, slopeshade, aerial imagery, and Topographic Position Index (TPI) rasters. The most effective means of visualizing depressions in the GIS was using an overlay of the partially transparent TPI raster atop the slopeshade raster at 1.0 m resolution. Manually identified depressions were subsequently checked using aerial imagery to screen for false positives, and targeted ground-truthing was undertaken in the field. The automated tools that were utilized include the routines in ArcHydro Tools (v. 2.0) for prescreening, evaluating, and selecting sinks and depressions as well as thresholding, grouping, and assessing depressions from the TPI raster. Results showed that the automated delineation of sinks and depressions within the ArcHydro tools was highly dependent upon pre-conditioning of the DEM to produce \"hydrologically correct\" surface flow routes. Using stream vectors obtained from the National Hydrologic Dataset alone to condition the flow routing was not sufficient to produce a suitable drainage network, and numerous artificial depressions were generated where roads, railways, or other manmade structures acted as flow barriers in the elevation model. Additional conditioning of the DEM with drainage paths across these barriers was required prior to automated 2delineation of sinks and depressions. In regions where the DEM had been properly conditioned, the tools for automated delineation performed reasonably well as compared to the manually delineated depressions, but generally overestimated the number of depressions thus necessitating manual filtering of the final results. Results from the TPI thresholding analysis were not dependent on DEM pre-conditioning, but the ability to extract meaningful depressions depended on careful assessment of analysis scale and TPI thresholding.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"National Cave and Karst Research Insititute","doi":"10.5038/9780979542275.1156","usgsCitation":"Doctor, D.H., and Young, J.A., 2013, An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data, in Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference, p. 449-458, https://doi.org/10.5038/9780979542275.1156.","productDescription":"9 p.","startPage":"449","endPage":"458","ipdsId":"IP-044120","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":488751,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.usf.edu/sinkhole_2013/Proceedings/Mapping_Management/8","text":"External Repository"},{"id":351475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afef06de4b0da30c1bfc7e6","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":728192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728193,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188867,"text":"70188867 - 2013 - Monte Carlo simulations of product distributions and contained metal estimates","interactions":[],"lastModifiedDate":"2018-02-15T14:30:08","indexId":"70188867","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Monte Carlo simulations of product distributions and contained metal estimates","docAbstract":"Estimation of product distributions of two factors was simulated by conventional Monte Carlo techniques using factor distributions that were independent (uncorrelated). Several simulations using uniform distributions of factors show that the product distribution has a central peak approximately centered at the product of the medians of the factor distributions. Factor distributions that are peaked, such as Gaussian (normal) produce an even more peaked product distribution. Piecewise analytic solutions can be obtained for independent factor distributions and yield insight into the properties of the product distribution. As an example, porphyry copper grades and tonnages are now available in at least one public database and their distributions were analyzed. Although both grade and tonnage can be approximated with lognormal distributions, they are not exactly fit by them. The grade shows some nonlinear correlation with tonnage for the published database. Sampling by deposit from available databases of grade, tonnage, and geological details of each deposit specifies both grade and tonnage for that deposit. Any correlation between grade and tonnage is then preserved and the observed distribution of grades and tonnages can be used with no assumption of distribution form.
","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9206-8","usgsCitation":"Gettings, M.E., 2013, Monte Carlo simulations of product distributions and contained metal estimates: Natural Resources Research, v. 22, no. 3, p. 239-254, https://doi.org/10.1007/s11053-013-9206-8.","productDescription":"16 p.","startPage":"239","endPage":"254","ipdsId":"IP-045215","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab7","contributors":{"authors":[{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700748,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193386,"text":"70193386 - 2013 - Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data","interactions":[],"lastModifiedDate":"2017-11-15T11:25:37","indexId":"70193386","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data","docAbstract":"Livelihood systems that depend on mobile resources must constantly adapt to change. For people living in permanent settlements, environmental changes that affect the distribution of a migratory species may reduce the availability of a primary food source, with the potential to destabilize the regional social-ecological system. Food security for Arctic indigenous peoples harvesting barren ground caribou (Rangifer tarandus granti) depends on movement patterns of migratory herds. Quantitative assessments of physical, ecological, and social effects on caribou distribution have proven difficult because of the significant interannual variability in seasonal caribou movement patterns. We developed and evaluated a modeling approach for simulating the distribution of a migratory herd throughout its annual cycle over a multiyear period. Beginning with spatial and temporal scales developed in previous studies of the Porcupine Caribou Herd of Canada and Alaska, we used satellite collar locations to compute and analyze season-by-season probabilities of movement of animals between habitat zones under two alternative weather conditions for each season. We then built a set of transition matrices from these movement probabilities, and simulated the sequence of movements across the landscape as a Markov process driven by externally imposed seasonal weather states. Statistical tests showed that the predicted distributions of caribou were consistent with observed distributions, and significantly correlated with subsistence harvest levels for three user communities. Our approach could be applied to other caribou herds and could be adapted for simulating the distribution of other ungulates and species with similarly large interannual variability in the use of their range.
","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-05376-180201","usgsCitation":"Nicolson, C., Berman, M., West, C.T., Kofinas, G.P., Griffith, B., Russell, D., and Dugan, D., 2013, Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data: Ecology and Society, v. 18, no. 2, Article 1; 19 p., https://doi.org/10.5751/ES-05376-180201.","productDescription":"Article 1; 19 p.","ipdsId":"IP-022189","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05376-180201","text":"Publisher Index Page"},{"id":348874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon Territory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.04052734375,\n 64.87693823228865\n ],\n [\n -130.2978515625,\n 64.87693823228865\n ],\n [\n -130.2978515625,\n 70.44415495538642\n ],\n [\n -149.04052734375,\n 70.44415495538642\n ],\n [\n -149.04052734375,\n 64.87693823228865\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610312e4b06e28e9c254ba","contributors":{"authors":[{"text":"Nicolson, Craig","contributorId":8565,"corporation":false,"usgs":true,"family":"Nicolson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":722126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berman, Matthew","contributorId":200375,"corporation":false,"usgs":false,"family":"Berman","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":722127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, Colin Thor","contributorId":200376,"corporation":false,"usgs":false,"family":"West","given":"Colin","email":"","middleInitial":"Thor","affiliations":[],"preferred":false,"id":722128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kofinas, Gary P.","contributorId":200377,"corporation":false,"usgs":false,"family":"Kofinas","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffith, Brad","contributorId":190362,"corporation":false,"usgs":false,"family":"Griffith","given":"Brad","affiliations":[],"preferred":false,"id":722130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, Don","contributorId":200378,"corporation":false,"usgs":false,"family":"Russell","given":"Don","email":"","affiliations":[],"preferred":false,"id":722131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugan, Darcy","contributorId":200379,"corporation":false,"usgs":false,"family":"Dugan","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":722132,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192523,"text":"70192523 - 2013 - Estimating abundance of adult striped bass in reservoirs using mobile hydroacoustics","interactions":[],"lastModifiedDate":"2017-11-28T13:51:10","indexId":"70192523","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of adult striped bass in reservoirs using mobile hydroacoustics","docAbstract":"Hydroacoustic surveys have proven valuable for estimating reservoir forage fish abundance but are more challenging for adult predators such as striped bass Morone saxatilis. Difficulties in assessing striped bass in reservoirs include their low density and the inability to distinguish species with hydroacoustic data alone. Despite these difficulties, mobile hydroacoustic surveys have potential to provide useful data for management because of the large sample volume compared to traditional methods such as gill netting and the ability to target specific areas where striped bass are aggregated. Hydroacoustic estimates of reservoir striped bass have been made using mobile surveys, with data analysis using a threshold for target strength in order to focus on striped bass-sized targets, and auxiliary sampling with nets to obtain species composition. We provide recommendations regarding survey design, based in part on simulations that provide insight on the level of effort that would be required to achieve reasonable estimates of abundance. Future surveys may be able to incorporate telemetry or other sonar techniques such as side-scan or multibeam in order to focus survey efforts on productive habitats (within lake and vertically). However, species apportionment will likely remain the main source of error, and we see no hydroacoustic system on the horizon that will identify fish by species at the spatial and temporal scale required for most reservoir surveys. In situations where species composition can be reliably assessed using traditional gears, abundance estimates from hydroacoustic methods should be useful to fishery managers interested in developing harvest regulations, assessing survival of stocked juveniles, identifying seasonal aggregations, and examining predator–prey balance.
","language":"English","publisher":"American Fisheries Society","usgsCitation":"Hightower, J.E., Taylor, J.C., and Degan, D.J., 2013, Estimating abundance of adult striped bass in reservoirs using mobile hydroacoustics: American Fisheries Society Symposium, v. 80, p. 279-289.","productDescription":"11 p.","startPage":"279","endPage":"289","ipdsId":"IP-019542","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254ca","contributors":{"authors":[{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, J. Christopher","contributorId":200939,"corporation":false,"usgs":false,"family":"Taylor","given":"J.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":723864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degan, Donald J.","contributorId":81979,"corporation":false,"usgs":true,"family":"Degan","given":"Donald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192524,"text":"70192524 - 2013 - Tagging methods for estimating population size and mortality rates of inland striped bass populations","interactions":[],"lastModifiedDate":"2017-11-28T13:47:37","indexId":"70192524","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Tagging methods for estimating population size and mortality rates of inland striped bass populations","docAbstract":"Striped bass Morone saxatilis in inland reservoirs play an important role ecologically and in supporting recreational fishing. To manage these populations, biologists need information about abundance and mortality. Abundance estimates can be used to assess the effectiveness of stocking programs that maintain most reservoir striped bass populations. Mortality estimates can indicate the relative impact of fishing versus natural mortality and the need for harvest regulation. The purpose of this chapter is to evaluate tagging studies as a way of obtaining information about abundance and mortality. These approaches can be grouped into three broad categories: tag recapture, tag return, and telemetry. Tag-recapture methods are typically used to estimate population size and other demographic parameters but are often difficult to apply in large systems. A fishing tournament can be an effective way of generating tagging or recapture effort in large systems, compared to using research sampling only. Tag-return methods that rely on angler harvest and catch and release can be used to estimate fishing (F) and natural (M) mortality rates and are a practical approach in large reservoirs. The key to success in tag-return studies is to build in auxiliary studies to estimate short-term tagging mortality, short- and longterm tag loss, reporting rate, and mortality associated with catch and release. F and M can also be estimated using telemetry tags. Advantages of this approach are that angler nonreporting does not bias estimates and fish with transmitters provide useful ecological data. Cost can be a disadvantage of telemetry studies; thus, combining telemetry tags with conventional tag returns in an integrated analysis is often the optimal approach. In summary, tagging methods can be a powerful tool for assessing the effectiveness of inland striped bass stocking programs and the relative impact of fishing versus natural mortality
","language":"English","publisher":"American Fisheries Society","usgsCitation":"Hightower, J.E., and Pollock, K.H., 2013, Tagging methods for estimating population size and mortality rates of inland striped bass populations: American Fisheries Society Symposium, v. 80, p. 249-262.","productDescription":"14 p.","startPage":"249","endPage":"262","ipdsId":"IP-020098","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254c8","contributors":{"authors":[{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":723863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193015,"text":"70193015 - 2013 - A critique of the use of indicator-species scores for identifying thresholds in species responses","interactions":[],"lastModifiedDate":"2017-11-21T13:56:53","indexId":"70193015","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A critique of the use of indicator-species scores for identifying thresholds in species responses","docAbstract":"Identification of ecological thresholds is important both for theoretical and applied ecology. Recently, Baker and King (2010, King and Baker 2010) proposed a method, threshold indicator analysis (TITAN), to calculate species and community thresholds based on indicator species scores adapted from Dufrêne and Legendre (1997). We tested the ability of TITAN to detect thresholds using models with (broken-stick, disjointed broken-stick, dose-response, step-function, Gaussian) and without (linear) definitive thresholds. TITAN accurately and consistently detected thresholds in step-function models, but not in models characterized by abrupt changes in response slopes or response direction. Threshold detection in TITAN was very sensitive to the distribution of 0 values, which caused TITAN to identify thresholds associated with relatively small differences in the distribution of 0 values while ignoring thresholds associated with large changes in abundance. Threshold identification and tests of statistical significance were based on the same data permutations resulting in inflated estimates of statistical significance. Application of bootstrapping to the split-point problem that underlies TITAN led to underestimates of the confidence intervals of thresholds. Bias in the derivation of the z-scores used to identify TITAN thresholds and skewedness in the distribution of data along the gradient produced TITAN thresholds that were much more similar than the actual thresholds. This tendency may account for the synchronicity of thresholds reported in TITAN analyses. The thresholds identified by TITAN represented disparate characteristics of species responses that, when coupled with the inability of TITAN to identify thresholds accurately and consistently, does not support the aggregation of individual species thresholds into a community threshold.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1899/12-056.1","usgsCitation":"Cuffney, T.F., and Qian, S.S., 2013, A critique of the use of indicator-species scores for identifying thresholds in species responses: Freshwater Science, v. 32, no. 2, p. 471-488, https://doi.org/10.1899/12-056.1.","productDescription":"18 p.","startPage":"471","endPage":"488","ipdsId":"IP-037231","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":474030,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/12-056.1","text":"External Repository"},{"id":349218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254be","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717657,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70193348,"text":"70193348 - 2013 - The benefits of improved national elevation data","interactions":[],"lastModifiedDate":"2017-12-01T10:16:29","indexId":"70193348","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The benefits of improved national elevation data","docAbstract":"This article describes how the National Enhanced Elevation Assessment (NEEA) has identified substantial benefits that could come about if improved elevation data were publicly available for current and emerging applications and business uses such as renewable energy, precision agriculture, and intelligent vehicle navigation and safety. In order to support these diverse needs, new national elevation data with higher resolution and accuracy are needed. The 3D Elevation Program (3DEP) initiative was developed to meet the majority of these needs and it is expected that 3DEP will result in new, unimagined information services that would result in job growth and the transformation of the geospatial community. Private-sector data collection companies are continuously evolving sensors and positioning technologies that are needed to collect improved elevation data. An initiative of this scope might also provide an opportunity for companies to improve their capabilities and produce even higher data quality and consistency at a pace that might not have otherwise occurred.
","language":"English","publisher":"ASPRS","usgsCitation":"Snyder, G., 2013, The benefits of improved national elevation data: Photogrammetric Engineering and Remote Sensing, v. 79, no. 2, p. 105-110.","productDescription":"6 p.","startPage":"105","endPage":"110","ipdsId":"IP-040759","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":349613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610312e4b06e28e9c254bc","contributors":{"authors":[{"text":"Snyder, Gregory I. gsnyder@usgs.gov","contributorId":4069,"corporation":false,"usgs":true,"family":"Snyder","given":"Gregory I.","email":"gsnyder@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718768,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187685,"text":"70187685 - 2013 - Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","interactions":[],"lastModifiedDate":"2017-05-15T14:42:57","indexId":"70187685","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands","docAbstract":"In recent years, there has been a significant increase in the use of remotely sensed data to address global issues. With the open data policy, the data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) sensors have become a critical component of numerous applications. These two sensors have been operational for more than a decade, providing a rich archive of multispectral imagery for analysis of mutitemporal remote sensing data. This paper focuses on evaluating the radiometric calibration agreement between MODIS and ETM+ using the near-simultaneous and cloud-free image pairs over an African pseudo-invariant calibration site, Libya 4. To account for the combined uncertainties in the top-of-atmosphere (TOA) reflectance due to surface and atmospheric bidirectional reflectance distribution function (BRDF), a semiempirical BRDF model was adopted to normalize the TOA reflectance to the same illumination and viewing geometry. In addition, the spectra from the Earth Observing-1 (EO-1) Hyperion were used to compute spectral corrections between the corresponding MODIS and ETM+ spectral bands. As EO-1 Hyperion scenes were not available for all MODIS and ETM+ data pairs, MODerate resolution atmospheric TRANsmission (MODTRAN) 5.0 simulations were also used to adjust for differences due to the presence or lack of absorption features in some of the bands. A MODIS split-window algorithm provides the atmospheric water vapor column abundance during the overpasses for the MODTRAN simulations. Additionally, the column atmospheric water vapor content during the overpass was retrieved using the MODIS precipitable water vapor product. After performing these adjustments, the radiometric cross-calibration of the two sensors was consistent to within 7%. Some drifts in the response of the bands are evident, with MODIS band 3 being the largest of about 6% over 10 years, a change that will be corrected in Collection 6 MODIS processing.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2012.2235448","usgsCitation":"Angal, A., Xiong, X., Wu, A., Chander, G., and Choi, T., 2013, Multitemporal cross-calibration of the Terra MODIS and Landsat 7 ETM+ reflective solar bands: IEEE Transactions on Geoscience and Remote Sensing, v. 51, no. 4, p. 1870-1882, https://doi.org/10.1109/TGRS.2012.2235448.","productDescription":"13 p.","startPage":"1870","endPage":"1882","ipdsId":"IP-043734","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474036,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20140013366","text":"External Repository"},{"id":341240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5916c9b5e4b044b359e486a0","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":695066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":695067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":695068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":695065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":695069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193293,"text":"70193293 - 2013 - A comparison of data-driven groundwater vulnerability assessment methods","interactions":[],"lastModifiedDate":"2017-11-11T16:26:15","indexId":"70193293","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of data-driven groundwater vulnerability assessment methods","docAbstract":"Increasing availability of geo-environmental data has promoted the use of statistical methods to assess groundwater vulnerability. Nitrate is a widespread anthropogenic contaminant in groundwater and its occurrence can be used to identify aquifer settings vulnerable to contamination. In this study, multivariate Weights of Evidence (WofE) and Logistic Regression (LR) methods, where the response variable is binary, were used to evaluate the role and importance of a number of explanatory variables associated with nitrate sources and occurrence in groundwater in the Milan District (central part of the Po Plain, Italy). The results of these models have been used to map the spatial variation of groundwater vulnerability to nitrate in the region, and we compare the similarities and differences of their spatial patterns and associated explanatory variables. We modify the standard WofE method used in previous groundwater vulnerability studies to a form analogous to that used in LR; this provides a framework to compare the results of both models and reduces the effect of sampling bias on the results of the standard WofE model. In addition, a nonlinear Generalized Additive Model has been used to extend the LR analysis. Both approaches improved discrimination of the standard WofE and LR models, as measured by the c-statistic. Groundwater vulnerability probability outputs, based on rank-order classification of the respective model results, were similar in spatial patterns and identified similar strong explanatory variables associated with nitrate source (population density as a proxy for sewage systems and septic sources) and nitrate occurrence (groundwater depth).
","language":"English","publisher":"Groundwater","doi":"10.1111/gwat.12012","usgsCitation":"Sorichetta, A., Ballabio, C., Masetti, M., Robinson, G.R., and Sterlacchini, S., 2013, A comparison of data-driven groundwater vulnerability assessment methods: Groundwater, v. 51, no. 6, p. 866-879, https://doi.org/10.1111/gwat.12012.","productDescription":"14 p.","startPage":"866","endPage":"879","ipdsId":"IP-033744","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":348612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Milan District","otherGeospatial":"Po Plain","volume":"51","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-03","publicationStatus":"PW","scienceBaseUri":"5a07ef4ae4b09af898c8cd87","contributors":{"authors":[{"text":"Sorichetta, Alessandro","contributorId":199291,"corporation":false,"usgs":false,"family":"Sorichetta","given":"Alessandro","email":"","affiliations":[{"id":18032,"text":"European Commission, Joint Research Centere, Institute for Environment and Sustainability, Ispra Varese, Italy","active":true,"usgs":false}],"preferred":false,"id":721673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballabio, Cristiano","contributorId":199292,"corporation":false,"usgs":false,"family":"Ballabio","given":"Cristiano","email":"","affiliations":[{"id":18032,"text":"European Commission, Joint Research Centere, Institute for Environment and Sustainability, Ispra Varese, Italy","active":true,"usgs":false}],"preferred":false,"id":721674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masetti, Marco","contributorId":199293,"corporation":false,"usgs":false,"family":"Masetti","given":"Marco","email":"","affiliations":[{"id":29874,"text":"Università degli Studi di Milano, Milano, Italy","active":true,"usgs":false}],"preferred":false,"id":721675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Gilpin R. Jr. 0000-0002-9676-9564 grobinso@usgs.gov","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":172765,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":721676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sterlacchini, Simone","contributorId":199294,"corporation":false,"usgs":false,"family":"Sterlacchini","given":"Simone","email":"","affiliations":[{"id":35722,"text":"Istituto per la Dinamica dei Processi Ambientali, Consiglio Nazionale delle Ricerche (CNR-IDPA), Piazza della Scienza 1, 20126 Milan, Italy","active":true,"usgs":false}],"preferred":false,"id":721677,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187702,"text":"70187702 - 2013 - Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States","interactions":[],"lastModifiedDate":"2017-05-31T16:13:52","indexId":"70187702","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States","docAbstract":"The physical surface of the Earth is in constant change due to climate forcing and human activities. In the Midwestern United States, urban area, farmland, and dedicated energy crop (e.g., switchgrass) cultivation are predicted to expand in the coming decades, which will lead to changes in hydrological processes. This study is designed to (1) project the land use and land cover (LULC) by mid-century using the FORecasting SCEnarios of future land-use (FORE-SCE) model under the A1B greenhouse gas emission scenario (future condition) and (2) assess its potential impacts on the water cycle and water quality against the 2001 baseline condition in the Cedar River Basin using the physically based soil and water assessment tool (SWAT). We compared the baseline LULC (National Land Cover data 2001) and 2050 projection, indicating substantial expansions of urban area and pastureland (including the cultivation of bioenergy crops) and a decrease in rangeland. We then used the above two LULC maps as the input data to drive the SWAT model, keeping other input data (e.g., climate) unchanged to isolate the LULC change impacts. The modeling results indicate that quick-response surface runoff would increase significantly (about 10.5%) due to the projected urban expansion (i.e., increase in impervious areas), and the baseflow would decrease substantially (about 7.3%) because of the reduced infiltration. Although the net effect may cause an increase in water yield, the increased variability may impede its use for public supply. Additionally, the cultivation of bioenergy crops such as switchgrass in the newly added pasture lands may further reduce the soil water content and lead to an increase in nitrogen loading (about 2.5% increase) due to intensified fertilizer application. These study results will be informative to decision makers for sustainable water resource management when facing LULC change and an increasing demand for biofuel production in this area.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/8/2/024025","usgsCitation":"Wu, Y., Liu, S., Sohl, T.L., and Young, C., 2013, Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States: Environmental Research Letters, v. 8, p. 1-13, https://doi.org/10.1088/1748-9326/8/2/024025.","productDescription":"Article 024025; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-045247","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/2/024025","text":"Publisher Index Page"},{"id":341313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-20","publicationStatus":"PW","scienceBaseUri":"591abe3ae4b0a7fdb43c8c05","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","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":695176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":192026,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[],"preferred":false,"id":695174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188073,"text":"70188073 - 2013 - Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA","interactions":[],"lastModifiedDate":"2017-05-30T12:51:09","indexId":"70188073","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA","docAbstract":"Hydrological processes of the wetland complex in the Prairie Pothole Region (PPR) are difficult to model, partly due to a lack of wetland morphology data. We used Light Detection And Ranging (LiDAR) data sets to derive wetland features; we then modelled rainfall, snowfall, snowmelt, runoff, evaporation, the “fill-and-spill” mechanism, shallow groundwater loss, and the effect of wet and dry conditions. For large wetlands with a volume greater than thousands of cubic metres (e.g. about 3000 m3), the modelled water volume agreed fairly well with observations; however, it did not succeed for small wetlands (e.g. volume less than 450 m3). Despite the failure for small wetlands, the modelled water area of the wetland complex coincided well with interpretation of aerial photographs, showing a linear regression with R2 of around 0.80 and a mean average error of around 0.55 km2. The next step is to improve the water budget modelling for small wetlands.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2013.831419","usgsCitation":"Huang, S., Young, C., Abdul-Aziz, O.I., Dahal, D., Feng, M., and Liu, S., 2013, Simulating the water budget of a Prairie Potholes complex from LiDAR and hydrological models in North Dakota, USA: Hydrological Sciences Journal, v. 58, no. 7, p. 1434-1444, https://doi.org/10.1080/02626667.2013.831419.","productDescription":"11 p.","startPage":"1434","endPage":"1444","ipdsId":"IP-043188","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2013.831419","text":"Publisher Index Page"},{"id":341846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","volume":"58","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c9e4b092b266f10dc8","contributors":{"authors":[{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":696403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":191382,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abdul-Aziz, Omar I.","contributorId":192386,"corporation":false,"usgs":false,"family":"Abdul-Aziz","given":"Omar","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":696402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","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":696405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feng, Min","contributorId":75370,"corporation":false,"usgs":true,"family":"Feng","given":"Min","email":"","affiliations":[],"preferred":false,"id":696406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696404,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187336,"text":"70187336 - 2013 - Ion-probe U–Pb dating of authigenic and detrital opal from Neogene-Quaternary alluvium","interactions":[],"lastModifiedDate":"2017-05-01T14:34:38","indexId":"70187336","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ion-probe U–Pb dating of authigenic and detrital opal from Neogene-Quaternary alluvium","docAbstract":"Knowing depositional ages of alluvial fans is essential for many tectonic, paleoclimatic, and geomorphic studies in arid environments. The use of U–Pb dating on secondary silica to establish the age of Neogene-Quaternary clastic sediments was tested on samples of authigenic and detrital opal and chalcedony from depths of ∼25 to 53 m in boreholes at Midway Valley, Nevada. Dating of authigenic opal present as rinds on rock clasts and in calcite/silica cements establishes minimum ages of alluvium deposition; dating of detrital opal or chalcedony derived from the source volcanic rocks gives the maximum age of sediment deposition.
Materials analyzed included 12 samples of authigenic opal, one sample of fracture-coating opal from bedrock, one sample of detrital opal, and two samples of detrital chalcedony. Uranium–lead isotope data were obtained by both thermal ionization mass spectrometry and ion-microprobe. Uranium concentrations ranged from tens to hundreds of μg/g. Relatively large U/Pb allowed calculation of 206Pb/238U ages that ranged from 1.64±0.36 (2σ) to 6.16±0.50 Ma for authigenic opal and from 8.34±0.28 to 11.2±1.3 Ma for detrital opal/chalcedony. Three samples with the most radiogenic Pb isotope compositions also allowed calculation of 207Pb/235U ages, which were concordant with 206Pb/238U ages from the same samples.
These results indicate that basin development at Midway Valley was initiated between about 8 and 6 Ma, and that the basin was filled at long-term average deposition rates of less than 1 cm/ka. Because alluvium in Midway Valley was derived from adjacent highlands at Yucca Mountain, the low rates of deposition determined in this study may imply a slow rate of erosion of Yucca Mountain. Volcanic strata underlying the basin are offset by a number of buried faults to a greater degree than the relatively smooth-sloping bedrock/alluvium contact. These geologic relations indicate that movement on most faults ceased prior to erosional planation and burial. Therefore, ages of the authigenic opal from basal alluvium indicate that the last movement on buried faults was older than about 6 Ma.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.11.037","usgsCitation":"Neymark, L., and Paces, J.B., 2013, Ion-probe U–Pb dating of authigenic and detrital opal from Neogene-Quaternary alluvium: Earth and Planetary Science Letters, v. 361, p. 98-109, https://doi.org/10.1016/j.epsl.2012.11.037.","productDescription":"12 p.","startPage":"98","endPage":"109","ipdsId":"IP-034248","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":340694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"361","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084936e4b0fc4e448ffd9c","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693514,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188071,"text":"70188071 - 2013 - Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data","interactions":[],"lastModifiedDate":"2017-05-30T12:53:54","indexId":"70188071","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","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":"Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data","docAbstract":"This study provides a baseline quality check on provisional Landsat Surface Reflectance (SR) products as generated by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center using Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software. Characterization of the Landsat SR products leveraged comparisons between aerosol optical thickness derived from LEDAPS and measured by Aerosol Robotic Network (AERONET), as well as reflectance correlations with field spectrometer and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Results consistently indicated similarity between LEDAPS and alternative data products in longer wavelengths over vegetated areas with no adjacent water, while less reliable performance was observed in shorter wavelengths and sparsely vegetated areas. This study demonstrates the strengths and weaknesses of the atmospheric correction methodology used in LEDAPS, confirming its successful implementation to generate Landsat SR products.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.04.007","usgsCitation":"Maiersperger, T., Scaramuzza, P., Leigh, L., Shrestha, S., Gallo, K., Jenkerson, C.B., and Dwyer, J.L., 2013, Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data: Remote Sensing of Environment, v. 136, p. 1-13, https://doi.org/10.1016/j.rse.2013.04.007.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-039343","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"136","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c9e4b092b266f10dcd","contributors":{"authors":[{"text":"Maiersperger, Tom 0000-0003-3132-6997 tmaiersperger@usgs.gov","orcid":"https://orcid.org/0000-0003-3132-6997","contributorId":3693,"corporation":false,"usgs":true,"family":"Maiersperger","given":"Tom","email":"tmaiersperger@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leigh, Larry","contributorId":192383,"corporation":false,"usgs":false,"family":"Leigh","given":"Larry","email":"","affiliations":[],"preferred":false,"id":696394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, S.","contributorId":182437,"corporation":false,"usgs":false,"family":"Shrestha","given":"S.","email":"","affiliations":[],"preferred":false,"id":696395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallo, Kevin 0000-0001-9162-5011 kgallo@usgs.gov","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":192334,"corporation":false,"usgs":true,"family":"Gallo","given":"Kevin","email":"kgallo@usgs.gov","affiliations":[],"preferred":true,"id":696391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@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}],"preferred":true,"id":696390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","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":696389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193604,"text":"70193604 - 2013 - Ambient seismic noise interferometry in Hawai'i reveals long-range observability of volcanic tremor","interactions":[],"lastModifiedDate":"2019-03-25T09:45:52","indexId":"70193604","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Ambient seismic noise interferometry in Hawai'i reveals long-range observability of volcanic tremor","docAbstract":"The use of seismic noise interferometry to retrieve Green's functions and the analysis of volcanic tremor are both useful in studying volcano dynamics. Whereas seismic noise interferometry allows long-range extraction of interpretable signals from a relatively weak noise wavefield, the characterization of volcanic tremor often requires a dense seismic array close to the source. We here show that standard processing of seismic noise interferometry yields volcanic tremor signals observable over large distances exceeding 50 km. Our study comprises 2.5 yr of data from the U.S. Geological Survey Hawaiian Volcano Observatory short period seismic network. Examining more than 700 station pairs, we find anomalous and temporally coherent signals that obscure the Green's functions. The time windows and frequency bands of these anomalous signals correspond well with the characteristics of previously studied volcanic tremor sources at Pu'u 'Ō'ō and Halema'uma'u craters. We use the derived noise cross-correlation functions to perform a grid-search for source location, confirming that these signals are surface waves originating from the known tremor sources. A grid-search with only distant stations verifies that useful tremor signals can indeed be recovered far from the source. Our results suggest that the specific data processing in seismic noise interferometry—typically used for Green's function retrieval—can aid in the study of both the wavefield and source location of volcanic tremor over large distances. In view of using the derived Green's functions to image heterogeneity and study temporal velocity changes at volcanic regions, however, our results illustrate how care should be taken when contamination by tremor may be present.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggt112","usgsCitation":"Ballmer, S., Wolfe, C.J., Okubo, P.G., Haney, M.M., and Thurber, C.H., 2013, Ambient seismic noise interferometry in Hawai'i reveals long-range observability of volcanic tremor: Geophysical Journal International, v. 194, no. 1, p. 512-523, https://doi.org/10.1093/gji/ggt112.","productDescription":"12 p.","startPage":"512","endPage":"523","ipdsId":"IP-045362","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggt112","text":"Publisher Index Page"},{"id":348123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.23107910156247,\n 18.88030044453507\n ],\n [\n -154.7698974609375,\n 18.88030044453507\n ],\n [\n -154.7698974609375,\n 20.2982655686933\n ],\n [\n -156.23107910156247,\n 20.2982655686933\n ],\n [\n -156.23107910156247,\n 18.88030044453507\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"194","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-16","publicationStatus":"PW","scienceBaseUri":"59fc2eafe4b0531197b27ff7","contributors":{"authors":[{"text":"Ballmer, Silke","contributorId":199612,"corporation":false,"usgs":false,"family":"Ballmer","given":"Silke","email":"","affiliations":[],"preferred":false,"id":719579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, Cecily J. 0000-0003-3144-5697 cwolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3144-5697","contributorId":191613,"corporation":false,"usgs":true,"family":"Wolfe","given":"Cecily","email":"cwolfe@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":719578,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193607,"text":"70193607 - 2013 - The Chaitén rhyolite lava dome: Eruption sequence, lava dome volumes, rapid effusion rates and source of the rhyolite magma","interactions":[],"lastModifiedDate":"2021-02-11T17:03:00.983319","indexId":"70193607","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":766,"text":"Andean Geology","active":true,"publicationSubtype":{"id":10}},"title":"The Chaitén rhyolite lava dome: Eruption sequence, lava dome volumes, rapid effusion rates and source of the rhyolite magma","docAbstract":"We use geologic field mapping and sampling, photogrammetric analysis of oblique aerial photographs, and digital elevation models to document the 2008-2009 eruptive sequence at Chaitén Volcano and to estimate volumes and effusion rates for the lava dome. We also present geochemical and petrologic data that contribute to understanding the source of the rhyolite and its unusually rapid effusion rates. The eruption consisted of five major phases: 1. An explosive phase (1-11 May 2008); 2. A transitional phase (11-31 May 2008) in which low-altitude tephra columns and simultaneous lava extrusion took place; 3. An exogenous lava flow phase (June-September 2008); 4. A spine extrusion and endogenous growth phase (October 2008-February 2009); and 5. A mainly endogenous growth phase that began after the collapse of a prominent Peléean spine on 19 February 2009 and continued until the end of the eruption (late 2009 or possibly earliest 2010). The 2008-2009 rhyolite lava dome has a total volume of approximately 0.8 km3. The effusion rate averaged 66 m3s-1 during the first two weeks and averaged 45 m3s-1 for the first four months of the eruption, during which 0.5 km3 of rhyolite lava was erupted. These are among the highest rates measured world-wide for historical eruptions of silicic lava. Chaitén’s 2008-2009 lava is phenocryst-poor obsidian and microcrystalline rhyolite with 75.3±0.3% SiO2. The lava was erupted at relatively high temperature and is remarkably similar in composition and petrography to Chaitén’s pre-historic rhyolite. The rhyolite’s normative composition plots close to that of low pressure (100-200 MPa) minimum melts in the granite system, consistent with estimates of approximately 5 to 10 km source depths based on phase equilibria and geodetic studies. Calcic plagioclase, magnesian orthopyroxene and aluminous amphibole among the sparse phenocrysts suggest derivation of the rhyolite by melt extraction from a more mafic magmatic mush. High temperature and relatively low viscosity enabled rapid magma ascent and high effusion rates during the dome-forming phases of the 2008-2009 eruption.
","language":"English","publisher":"Servicio Nacional de Geología y Minería","doi":"10.5027/andgeoV40n2-a06","usgsCitation":"Pallister, J.S., Diefenbach, A.K., Burton, W.C., Munoz, J., Griswold, J.P., Lara, L.E., Lowenstern, J.B., and Valenzuela, C.E., 2013, The Chaitén rhyolite lava dome: Eruption sequence, lava dome volumes, rapid effusion rates and source of the rhyolite magma: Andean Geology, v. 40, no. 2, p. 277-294, https://doi.org/10.5027/andgeoV40n2-a06.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-046247","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5027/andgeov40n2-a06","text":"External Repository"},{"id":348132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Chaitén Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.69790649414062,\n -42.87143519624264\n ],\n [\n -72.60177612304688,\n -42.87143519624264\n ],\n [\n -72.60177612304688,\n -42.80698811255234\n ],\n [\n -72.69790649414062,\n -42.80698811255234\n ],\n [\n -72.69790649414062,\n -42.87143519624264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27fee","contributors":{"authors":[{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818 adiefenbach@usgs.gov","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":1084,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela","email":"adiefenbach@usgs.gov","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":719957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munoz, Jorge","contributorId":199618,"corporation":false,"usgs":false,"family":"Munoz","given":"Jorge","email":"","affiliations":[],"preferred":false,"id":719958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griswold, Julia P. griswold@usgs.gov","contributorId":4148,"corporation":false,"usgs":true,"family":"Griswold","given":"Julia","email":"griswold@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":719959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valenzuela, Carolina E.","contributorId":199617,"corporation":false,"usgs":false,"family":"Valenzuela","given":"Carolina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719962,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70193611,"text":"70193611 - 2013 - Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2017-11-02T13:37:27","indexId":"70193611","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","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":"Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii","docAbstract":"Eruptive activity at the summit of Kilauea Volcano, Hawaii, beginning in 2010 and continuing to the present time is characterized by transient outgassing bursts accompanied by very long period (VLP) seismic signals triggered by rockfalls from the vent walls impacting a lava lake in a pit within the Halemaumau pit crater. We use raw data recorded with an 11-station broadband network to model the source mechanism of signals accompanying two large rockfalls on 29 August 2012 and two smaller average rockfalls obtained by stacking over all events with similar waveforms to improve the signal-to-noise ratio. To determine the source centroid location and source mechanism, we minimize the residual error between data and synthetics calculated by the finite difference method for a point source embedded in a homogeneous medium that takes topography into account. We apply a new waveform inversion method that accounts for the contributions from both translation and tilt in horizontal seismograms through the use of Green's functions representing the seismometer response to translation and tilt ground motions. This method enables a robust description of the source mechanism over the period range 1–1000 s. The VLP signals associated with the rockfalls originate in a source region ∼1 km below the eastern perimeter of the Halemaumau pit crater. The observed waveforms are well explained by a simple volumetric source with geometry composed of two intersecting cracks including an east striking crack (dike) dipping 80° to the north, intersecting a north striking crack (another dike) dipping 65° to the east. Each rockfall is marked by a similar step-like inflation trailed by decaying oscillations of the volumetric source, attributed to the efficient coupling at the source centroid location of the pressure and momentum changes induced by the rock mass impacting the top of the lava column. Assuming a simple lumped parameter representation of the shallow magmatic system, the observed pressure and volume variations can be modeled with the following attributes: rockfall volume (200–4500 m3), length of magma column (120–210 m), diameter of pipe connecting the Halemaumau pit crater to the subjacent dike system (6 m), average thickness of the two underlying dikes (3–6 m), and effective magma viscosity (30–210 Pa s). Most rockfalls occur during episodes of sustained deflation of the Kilauea summit. The mass loss rate in the shallow magmatic system is estimated to be 1400–15,000 kg s−1 based on measurements of the temporal variation of VLP period in the two large rockfalls that occurred on 29 August 2012.
","language":"English","publisher":"AGU","doi":"10.1002/jgrb.50376","usgsCitation":"Chouet, B.A., and Dawson, P.B., 2013, Very long period conduit oscillations induced by rockfalls at Kilauea Volcano, Hawaii: Journal of Geophysical Research B: Solid Earth, v. 118, no. 10, p. 5352-5371, https://doi.org/10.1002/jgrb.50376.","productDescription":"20 p.","startPage":"5352","endPage":"5371","ipdsId":"IP-051372","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50376","text":"Publisher Index Page"},{"id":348094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.36453247070312,\n 19.32539900916396\n ],\n [\n -155.12832641601562,\n 19.32539900916396\n ],\n [\n -155.12832641601562,\n 19.51578670986151\n ],\n [\n -155.36453247070312,\n 19.51578670986151\n ],\n [\n -155.36453247070312,\n 19.32539900916396\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"118","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27fe9","contributors":{"authors":[{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719620,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190563,"text":"70190563 - 2013 - Temporal and spatial variation in bird and human use of beaches in southern California","interactions":[],"lastModifiedDate":"2017-09-07T12:34:34","indexId":"70190563","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5486,"text":"SpringerPlus","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variation in bird and human use of beaches in southern California","docAbstract":"Southern California’s beaches can support a remarkable diversity of birds along the Pacific Flyway. We asked whether seasonal, annual, and spatial factors affect bird richness and abundance on public beaches. To do so, we conducted three years of monthly bird surveys on 12 sandy beaches in Ventura California. Across all surveys, we counted 22 shorebird species, 8 gull species, 24 other water bird species, and 24 landbird species. Sanderling, western gull, Heerman’s gull, willet, marbled godwit, and whimbrel were the most abundant members of the bird community. Beach wrack was uncommon, particularly where beaches were groomed, and did not have a large effect on bird abundance, though it was positively associated with overall bird richness. Beaches near estuaries tended to be wide, and such beaches had a higher richness and abundance of birds. Beaches with shallow slopes tended to have more gulls and shorebirds. People and (illegal) unleashed dogs were common, particularly at beaches fronted by houses. The abundance and richness of shorebirds and the richness of other waterbirds was lower where human activity was high. Bird richness and abundance was strongly affected by season, with the highest density of birds being seen during the fall shorebird migration. Gull abundance peaked earlier (August-September) than shorebird abundance (October through December). A brief pulse of shorebirds also occurred in May due to spring migration. Comparing these data with surveys in the 1990’s found no evidence for a decline in shorebirds over time, though black-bellied plover appear to still be recovering from the strong 1997-1998 ENSO. Opportunities to conserve birds on these beaches are limited, but could include enforcing leash laws and setting up human exclosures near estuary mouths.
","language":"English","publisher":"Springer","doi":"10.1186/2193-1801-2-38","usgsCitation":"Lafferty, K.D., Rodriguez, D.A., and Chapman, A., 2013, Temporal and spatial variation in bird and human use of beaches in southern California: SpringerPlus, v. 2, p. 1-14, https://doi.org/10.1186/2193-1801-2-38.","productDescription":"Article 38; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-082594","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474153,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2193-1801-2-38","text":"Publisher Index Page"},{"id":345548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"2","noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"59b25b02e4b020cdf7db1fd2","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":709819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Donald A.","contributorId":196270,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Angela","contributorId":196271,"corporation":false,"usgs":false,"family":"Chapman","given":"Angela","email":"","affiliations":[],"preferred":false,"id":709821,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193443,"text":"70193443 - 2013 - Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","interactions":[],"lastModifiedDate":"2017-11-10T18:54:20","indexId":"70193443","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","docAbstract":"We evaluated the influence of sex and reproductive condition on seasonal distribution and movement patterns of Lake Sturgeon Acipenser fulvescens in Namakan Reservoir, Minnesota–Ontario. Blood samples were collected from 133 Lake Sturgeon prior to spawning and plasma concentrations of testosterone and estradiol-17ß were analyzed using radioimmunoassay. Steroid concentrations were used to determine sex and the reproductive stage of each sturgeon. A subset of 60 adults were implanted with acoustic transmitters prior to spawning in 2007 and 2008. Movement was monitored using an array of 15 stationary receivers covering U.S. and Canadian waters of Namakan Reservoir and its tributaries. Of the monitored sturgeon, there was no significant difference in the minimum distance traveled between sexes or among seasons. Site residency did not differ between sexes but differed significantly among seasons, and Lake Sturgeon of both sexes had higher residency during winter (mean = 24 d). Five females implanted with transmitters were characterized as presumed reproductive and 14 as nonreproductive based on plasma steroid concentrations. In general, movement patterns (i.e., migration) of presumed reproductive females corresponded positively with availability of spawning habitat in tributaries. Moreover, presumed reproductive females traveled greater distances than nonreproductive females, particularly during prespawn, spawning, and fall time periods. Distance traveled by presumed reproductive females was highest in the fall compared with other seasons and may be linked to increased energy requirements during late oogenesis before spawning in spring. Combining movement data with information on Lake Sturgeon reproductive status and habitat suitability provided a robust approach for understanding their seasonal migration patterns and identifying spawning locations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.720625","usgsCitation":"Shaw, S.L., Chipps, S.R., Windels, S.K., Webb, M.A., and McLeod, D.T., 2013, Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario: Transactions of the American Fisheries Society, v. 142, no. 1, p. 10-20, https://doi.org/10.1080/00028487.2012.720625.","productDescription":"11 p.","startPage":"10","endPage":"20","ipdsId":"IP-034024","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota, Ontario","otherGeospatial":"Namakan Reservoir","volume":"142","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d7e4b09af898c86181","contributors":{"authors":[{"text":"Shaw, Stephanie L.","contributorId":199420,"corporation":false,"usgs":false,"family":"Shaw","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":721655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":721656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLeod, Darryl T.","contributorId":199419,"corporation":false,"usgs":false,"family":"McLeod","given":"Darryl","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":721657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192541,"text":"70192541 - 2013 - Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?","interactions":[],"lastModifiedDate":"2017-11-28T12:43:25","indexId":"70192541","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?","docAbstract":"I examined how land use influenced the distribution of Smallmouth Bass Micropterus dolomieu in channel units (discrete morphological features—e.g., pools) of streams in the Midwestern USA. Stream segments (n = 36), from four clusters of different soil and runoff conditions, were identified that had the highest percent of forest (n = 12), pasture (n = 12), and urban land use (n = 12) within each cluster. Channel units within each stream were delineated and independently sampled once using multiple gears in summer 2006. Data were analyzed using a generalized linear mixed model procedure with a binomial distribution and odds ratio statistics. Land use and channel unit were strong predictors of age-0, age-1, and age->1 Smallmouth Bass presence. Each age-class was more likely to be present in streams within watersheds dominated by forest land use than in those with pasture or urban land uses. The interaction between land use and channel unit was not significant in any of the models, indicating channel unit use by Smallmouth Bass did not depend on watershed land use. Each of the three age-classes was more likely to use pools than other channel units. However, streams with high densities of Smallmouth Bass age >1 had lower proportions of pools suggesting a variety of channel units is important even though habitat needs exist at the channel-unit scale. Management may benefit from future research addressing the significance of channel-unit quality as a possible mechanism for how land use impacts Smallmouth Bass populations. Further, management efforts aimed at improving stream habitat would likely be more beneficial if focused at the stream segment or landscape scale, where a variety of quality habitats might be supported.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.763878","usgsCitation":"Brewer, S.K., 2013, Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?: North American Journal of Fisheries Management, v. 33, no. 2, p. 351-358, https://doi.org/10.1080/02755947.2013.763878.","productDescription":"8 p.","startPage":"351","endPage":"358","ipdsId":"IP-031249","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"MIssouri","volume":"33","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-06","publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254c4","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716155,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192543,"text":"70192543 - 2013 - Non-overlapping distributions of feral sheep (Ovis aries) and Stout Iguanas (Cyclura pinguis) on Guana Island, British Virgin Islands","interactions":[],"lastModifiedDate":"2017-11-28T11:46:09","indexId":"70192543","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1951,"text":"IRCF Reptiles & Amphibians","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Non-overlapping distributions of feral sheep (Ovis aries) and Stout Iguanas (Cyclura pinguis) on Guana Island, British Virgin Islands","title":"Non-overlapping distributions of feral sheep (Ovis aries) and Stout Iguanas (Cyclura pinguis) on Guana Island, British Virgin Islands","docAbstract":"Stout Iguanas (Cyclura pinguis) remain one of the most critically endangered reptiles in the world. Factors contributing to that status include habitat loss, predation by introduced species, and competition with introduced herbivores. On Guana Island, British Virgin Islands, the presence of feral sheep (Ovis aries) has been a hypothesized detriment to iguanas. Using motion sensitive cameras, we documented the distribution of feral sheep on Guana Island in 2010. We also quantified the impact of feral sheep on ground vegetation by comparing plant abundance at longterm sheep exclosures and areas where sheep were absent to areas where sheep were present. Finally, we compared sheep distribution to iguana distribution on the island. The co-occurrence of sheep and Stout Iguanas was less than expected, indicating possible competition. Although we detected no difference in vegetative cover between areas where sheep were present and absent, the long-term exclosures showed that the exclusion of sheep allowed the abundance of many plant species to increase. Our data support the hypothesis that feral sheep are altering the abundance of ground-level vegetation and limiting iguana distribution on the island.
","language":"English","publisher":"IRCF","usgsCitation":"Skipper, B.R., Grisham, B.A., Kalyvaki, M., McGaughey, K., Mougey, K., Navarrete, L., Rondeau, R., Boal, C.W., and Perry, G., 2013, Non-overlapping distributions of feral sheep (Ovis aries) and Stout Iguanas (Cyclura pinguis) on Guana Island, British Virgin Islands: IRCF Reptiles & Amphibians, v. 20, no. 1, p. 7-15.","productDescription":"9 p.","startPage":"7","endPage":"15","ipdsId":"IP-044028","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349436,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ircf.org/journal/volume-20-1-2013/"}],"country":"British Virgin Islands","otherGeospatial":"Guana Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -64.58527565002441,\n 18.46235033603078\n ],\n [\n -64.55703735351562,\n 18.46235033603078\n ],\n [\n -64.55703735351562,\n 18.49112747057403\n ],\n [\n -64.58527565002441,\n 18.49112747057403\n ],\n [\n -64.58527565002441,\n 18.46235033603078\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254c2","contributors":{"authors":[{"text":"Skipper, Ben R.","contributorId":198462,"corporation":false,"usgs":false,"family":"Skipper","given":"Ben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grisham, Blake A.","contributorId":75419,"corporation":false,"usgs":true,"family":"Grisham","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalyvaki, Maria","contributorId":198465,"corporation":false,"usgs":false,"family":"Kalyvaki","given":"Maria","email":"","affiliations":[],"preferred":false,"id":723827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGaughey, Kathleen","contributorId":200924,"corporation":false,"usgs":false,"family":"McGaughey","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":723828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mougey, Krista","contributorId":198467,"corporation":false,"usgs":false,"family":"Mougey","given":"Krista","email":"","affiliations":[],"preferred":false,"id":723829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Navarrete, Laura","contributorId":198464,"corporation":false,"usgs":false,"family":"Navarrete","given":"Laura","email":"","affiliations":[],"preferred":false,"id":723830,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rondeau, Renee","contributorId":200926,"corporation":false,"usgs":false,"family":"Rondeau","given":"Renee","email":"","affiliations":[],"preferred":false,"id":723831,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716158,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perry, Gad","contributorId":7839,"corporation":false,"usgs":true,"family":"Perry","given":"Gad","email":"","affiliations":[],"preferred":false,"id":723832,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198366,"text":"70198366 - 2013 - Current status, issues and applications of GIS to inland fisheries","interactions":[],"lastModifiedDate":"2018-09-01T23:09:56","indexId":"70198366","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"T552","chapter":"9","title":"Current status, issues and applications of GIS to inland fisheries","docAbstract":"This chapter is concerned with GIS applications made to inland fisheries. These include fisheries in freshwater rivers, lakes and reservoirs. Although these GIS applications have increased rapidly since the late 1980s, this area of fish production receives less attention than either aquaculture or marine fisheries. This is probably because inland fisheries are often practised in remote areas, at a semi-subsistence level, or are recreational in many developed countries, and data on most aspects of the fisheries are scattered, fragmented and frequently unsuited for use as inputs to GIS. The GIS-based inland fisheries work has concentrated on mapping the distribution and abundance of fish species and mapping and modelling habitats in rivers, reservoirs and lakes, and relating the two. Much of the material included in the chapter on inland fisheries comes from either Fisher and Rahel (2004) or from the series of symposium proceedings published by the Fishery-Aquatic GIS Research Group (Nishida and Caton, 2010).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Advances in geographic information systems and remote sensing for fisheries and aquaculture: Summary version (FAO Fisheries and Aquaculture Technical Paper 552)","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Food and Agriculture Organizaiton of the United Nations","publisherLocation":"Rome, Italy","issn":"2070-7010","isbn":"9789251073919","usgsCitation":"Fisher, W., 2013, Current status, issues and applications of GIS to inland fisheries, chap. 9 of Advances in geographic information systems and remote sensing for fisheries and aquaculture: Summary version (FAO Fisheries and Aquaculture Technical Paper 552), p. 59-64.","productDescription":"6 p.","startPage":"59","endPage":"64","ipdsId":"IP-033397","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":357017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fao.org/publications/card/en/c/50c7a0ee-1879-5306-94bb-e602f382fee8"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98af08e4b0702d0e843f59","contributors":{"editors":[{"text":"Meaden, Geoffery J.","contributorId":50763,"corporation":false,"usgs":false,"family":"Meaden","given":"Geoffery","email":"","middleInitial":"J.","affiliations":[{"id":25526,"text":"FAO","active":true,"usgs":false}],"preferred":false,"id":744022,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Aguilar-Manjarrez, Jose","contributorId":115575,"corporation":false,"usgs":false,"family":"Aguilar-Manjarrez","given":"Jose","email":"","affiliations":[{"id":25526,"text":"FAO","active":true,"usgs":false}],"preferred":false,"id":744023,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Fisher, William wfisher@usgs.gov","contributorId":206607,"corporation":false,"usgs":true,"family":"Fisher","given":"William","email":"wfisher@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741272,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189045,"text":"70189045 - 2013 - Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico","interactions":[],"lastModifiedDate":"2017-06-29T14:14:26","indexId":"70189045","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico","docAbstract":"Two- and three-dimensional electrical resistivity models derived from the magnetotelluric method were interpreted to provide more accurate hydrogeologic parameters for the Albuquerque and Española Basins. Analysis and interpretation of the resistivity models are aided by regional borehole resistivity data. Examination of the magnetotelluric response of hypothetical stratigraphic cases using resistivity characterizations from the borehole data elucidates two scenarios where the magnetotelluric method provides the strongest constraints. In the first scenario, the magnetotelluric method constrains the thickness of extensive volcanic cover, the underlying thickness of coarser-grained facies of buried Santa Fe Group sediments, and the depth to Precambrian basement or overlying Pennsylvanian limestones. In the second scenario, in the absence of volcanic cover, the magnetotelluric method constrains the thickness of coarser-grained facies of buried Santa Fe Group sediments and the depth to Precambrian basement or overlying Pennsylvanian limestones. Magnetotelluric surveys provide additional constraints on the relative positions of basement rocks and the thicknesses of Paleozoic, Mesozoic, and Tertiary sedimentary rocks in the region of the Albuquerque and Española Basins. The northern extent of a basement high beneath the Cerros del Rio volcanic field is delineated. Our results also reveal that the largest offset of the Hubbell Spring fault zone is located 5 km west of the exposed scarp. By correlating our resistivity models with surface geology and the deeper stratigraphic horizons using deep well log data, we are able to identify which of the resistivity variations in the upper 2 km belong to the upper Santa Fe Group sediment
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New perspectives on Rio Grande Rift Basins: From tectonics to groundwater","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2494(13)","usgsCitation":"Rodriguez, B.D., and Sawyer, D.A., 2013, Geophysical constraints on Rio Grande rift structure and stratigraphy from magnetotelluric models and borehole resistivity logs, northern New Mexico, chap. of New perspectives on Rio Grande Rift Basins: From tectonics to groundwater, v. 494, p. 323-344, https://doi.org/10.1130/2013.2494(13).","productDescription":"22 p.","startPage":"323","endPage":"344","ipdsId":"IP-025934","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107,\n 34.6\n ],\n [\n -106,\n 34.6\n ],\n [\n -106,\n 36\n ],\n [\n -107,\n 36\n ],\n [\n -107,\n 34.6\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"494","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c4e4b0d1f9f05067cd","contributors":{"editors":[{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":702731,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702732,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, David A. dsawyer@usgs.gov","contributorId":1262,"corporation":false,"usgs":true,"family":"Sawyer","given":"David","email":"dsawyer@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":702730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044115,"text":"70044115 - 2013 - Spatio-temporal dynamics of pneumonia in bighorn sheep","interactions":[],"lastModifiedDate":"2013-04-20T19:52:09","indexId":"70044115","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal dynamics of pneumonia in bighorn sheep","docAbstract":"Bighorn sheep mortality related to pneumonia is a primary factor limiting population recovery across western North America, but management has been constrained by an incomplete understanding of the disease. We analysed patterns of pneumonia-caused mortality over 14 years in 16 interconnected bighorn sheep populations to gain insights into underlying disease processes. 2. We observed four age-structured classes of annual pneumonia mortality patterns: all-age, lamb-only, secondary all-age and adult-only. Although there was considerable variability within classes, overall they differed in persistence within and impact on populations. Years with pneumonia-induced mortality occurring simultaneously across age classes (i.e. all-age) appeared to be a consequence of pathogen invasion into a naïve population and resulted in immediate population declines. Subsequently, low recruitment due to frequent high mortality outbreaks in lambs, probably due to association with chronically infected ewes, posed a significant obstacle to population recovery. Secondary all-age events occurred in previously exposed populations when outbreaks in lambs were followed by lower rates of pneumonia-induced mortality in adults. Infrequent pneumonia events restricted to adults were usually of short duration with low mortality. 3. Acute pneumonia-induced mortality in adults was concentrated in fall and early winter around the breeding season when rams are more mobile and the sexes commingle. In contrast, mortality restricted to lambs peaked in summer when ewes and lambs were concentrated in nursery groups. 4. We detected weak synchrony in adult pneumonia between adjacent populations, but found no evidence for landscape-scale extrinsic variables as drivers of disease. 5. We demonstrate that there was a >60% probability of a disease event each year following pneumonia invasion into bighorn sheep populations. Healthy years also occurred periodically, and understanding the factors driving these apparent fade-out events may be the key to managing this disease. Our data and modelling indicate that pneumonia can have greater impacts on bighorn sheep populations than previously reported, and we present hypotheses about processes involved for testing in future investigations and management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Animal Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/1365-2656.12031","usgsCitation":"Cassirer, E.F., Plowright, R., Manlove, K.R., Cross, P.C., Dobson, A.P., Potter, K.A., and Hudson, P., 2013, Spatio-temporal dynamics of pneumonia in bighorn sheep: Journal of Animal Ecology, v. 82, no. 3, p. 518-528, https://doi.org/10.1111/1365-2656.12031.","productDescription":"11 p.","startPage":"518","endPage":"528","ipdsId":"IP-037153","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488146,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12031","text":"Publisher Index Page"},{"id":268414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268413,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2656.12031"}],"volume":"82","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-08","publicationStatus":"PW","scienceBaseUri":"5173b8e7e4b0e619a5806ef3","contributors":{"authors":[{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":474828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plowright, Raina K.","contributorId":23038,"corporation":false,"usgs":true,"family":"Plowright","given":"Raina K.","affiliations":[],"preferred":false,"id":474827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manlove, Kezia R.","contributorId":74651,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dobson, Andrew P.","contributorId":63693,"corporation":false,"usgs":true,"family":"Dobson","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":474829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Potter, Kathleen A.","contributorId":21041,"corporation":false,"usgs":true,"family":"Potter","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":474831,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70045513,"text":"70045513 - 2013 - Modern salt-marsh and tidal-flat foraminifera from Sitkinak and Simeonof Islands, southwestern Alaska","interactions":[],"lastModifiedDate":"2020-09-21T16:59:00.233339","indexId":"70045513","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Modern salt-marsh and tidal-flat foraminifera from Sitkinak and Simeonof Islands, southwestern Alaska","docAbstract":"We describe the modern distribution of salt-marsh and tidal-flat foraminifera from Sitkinak Island (Trinity Islands) and Simeonof Island (Shumagin Islands), Alaska, to begin development of a dataset for later use in reconstructing relative sea-level changes caused by great earthquakes along the Alaska-Aleutian subduction zone. Dead foraminifera were enumerated from a total of 58 surface-sediment samples collected along three intertidal transects around a coastal lagoon on Sitkinak Island and two intertidal transects on Simeonof Island. Two distinctive assemblages of salt-marsh foraminifera were recognized on Sitkinak Island. Miliammina fusca dominated low-marsh settings and Balticammina pseudomacrescens dominated the high marsh. These two species make up >98% of individuals. On Simeonof Island, 93% of individuals in high-marsh settings above mean high water were B. pseudomacrescens. The tidal flat on Simeonof Island was dominated by Cibicides lobatulus (60% of individuals), but the lower limit of this species is subtidal and was not sampled. These results indicate that uplift or subsidence caused by repeated earthquakes along the Alaska-Aleutian subduction zone could be reconstructed in coastal sediments using alternating assemblages of near monospecific B. pseudomacrescens and low-marsh or tidal-flat foraminifera.
Monitoring and characterizing the interactive effects of land use and climate on land surface processes is a primary focus of land change science, and of particular concern in arid Wells Distribution in Shallow Groundwater Areas Pumping Trends Increase Streamflow Extent Declines 27 environments where both landscapes and livelihoods can be impacted by short-term climate variability. Using a multi-observational approach to land-change analysis that included landownership data as a proxy for land-use practices, multitemporal land-cover maps, and repeat photography dating to the late 19th century, we examine changing spatial and temporal distributions of two vegetation types with high conservation value in the southwestern United States: grasslands and riparian vegetation. Our study area is the bi-national Santa Cruz Watershed, a topographically complex watershed that straddles the Sonoran Desert and the Madrean Archipelago Ecoregions. In this presentation we focus on historical changes in vegetation and land use in grasslands and riparian areas of the Madrean Ecoregion (San Raphael Valley, Cienega Creek, Sonoita), and compare changes in these areas to changes in the warmer and drier Sonoran Ecoregion. Analysis of historical photography confirms major 20th century vegetation shifts documented in other research: woody plant encroachment, desertification of grasslands, and changing riparian and xeroriparian vegetation occurred in both ecoregions following human settlement. However, vegetation changes over the past decade appear to be more subtle and some of the past trajectories appear to be reversing; most notable are recent mesquite declines in xeroriparian and upland areas, and changes from shrubland to grassland area in the Madrean ecoregion. Land cover changes were temporally variable, reflecting broad climate changes. The most dynamic cover changes occurred during the period from 1989 to 1999, a period with two intense droughts. The degree of vegetation change driven by climate was related to topographic setting: vegetation declines were greater per unit area in the lower elevation Sonoran ecoregion where temperatures are higher and precipitation lower than in the Madrean. Fine-scale changes within these broad climate patterns were likely the result of land use practices: declines were highest on state lands (grazing) and increases highest on private ranches and some federal lands (active mesquite removal and watershed restoration).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Science on the Sonoita Plain Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Science on the Sonoita Plain Symposium 2013","conferenceDate":"June 8, 2013","conferenceLocation":"Elgin, AZ","language":"English","usgsCitation":"Villarreal, M.L., Norman, L.M., Webb, R.H., and Turner, R., 2013, Trends in landscape and vegetation change and implications for the Santa Cruz Watershed, 3 p.","productDescription":"3 p.","startPage":"26","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046117","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":340234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006067e4b0e85db3a5de0d","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":141216,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":692722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":692723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}