{"pageNumber":"595","pageRowStart":"14850","pageSize":"25","recordCount":46681,"records":[{"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":"<p><span>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 (</span><i>Rangifer tarandus granti</i><span>) 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.</span></p>","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":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":"<p><span>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.</span></p>","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":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":"<p><span>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.</span></p>","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":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":"<p>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 <i>c</i>-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).</p>","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":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":"<p><span>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.</span></p>","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":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"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":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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 (<i>Ovis aries</i>) and Stout Iguanas (<i>Cyclura pinguis</i>) 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":"<p>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.</p>","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":70188866,"text":"70188866 - 2013 - Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world","interactions":[],"lastModifiedDate":"2017-06-27T10:04:18","indexId":"70188866","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world","docAbstract":"<p><span>The practice of geologic mapping is undergoing conceptual and methodological transformation. Profound changes in digital technology in the past 10 yr have potential to impact all aspects of geologic mapping. The future of geologic mapping as a relevant scientific enterprise depends on widespread adoption of new technology and ideas about the collection, meaning, and utility of geologic map data. It is critical that the geologic community redefine the primary elements of the traditional paper geologic map and improve the integration of the practice of making maps in the field and office with the new ways to record, manage, share, and visualize their underlying data. A modern digital geologic mapping model will enhance scientific discovery, meet elevated expectations of modern geologic map users, and accommodate inevitable future changes in technology.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2502(05)","usgsCitation":"House, K., Clark, R., and Kopera, J., 2013, Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world: GSA Special Papers, v. 502, p. 103-125, https://doi.org/10.1130/2013.2502(05).","productDescription":"23 p.","startPage":"103","endPage":"125","ipdsId":"IP-044938","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"502","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eafe4b062508e3c7ab9","contributors":{"authors":[{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":700747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kopera, Joe","contributorId":193537,"corporation":false,"usgs":false,"family":"Kopera","given":"Joe","email":"","affiliations":[],"preferred":false,"id":700746,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"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":"<p><span>I examined how land use influenced the distribution of Smallmouth Bass&nbsp;</span><i>Micropterus dolomieu</i><span><span>&nbsp;</span>in channel units (discrete morphological features—e.g., pools) of streams in the Midwestern USA. Stream segments (</span><i>n</i><span><span>&nbsp;</span>= 36), from four clusters of different soil and runoff conditions, were identified that had the highest percent of forest (</span><i>n</i><span><span>&nbsp;</span>= 12), pasture (</span><i>n</i><span><span>&nbsp;</span>= 12), and urban land use (</span><i>n</i><span><span>&nbsp;</span>= 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-&gt;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 &gt;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.</span></p>","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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716155,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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":"<p><span>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.</span></p>","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":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":"<p>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.</p>","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":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":"<p>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</p>","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":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":"<p><span>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 m</span><sup>3</sup><span>), the modelled water volume agreed fairly well with observations; however, it did not succeed for small wetlands (e.g. volume less than 450 m</span><sup>3</sup><span>). 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 R</span><sup>2</sup><span> of around 0.80 and a mean average error of around 0.55 km</span><sup>2</sup><span>. The next step is to improve the water budget modelling for small wetlands.</span></p>","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":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"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":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":"<p><span>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.</span></p>","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  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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":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience 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":"<p><span>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 m</span><sup>3</sup><span>), 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</span><sup>−1</sup><span><span>&nbsp;</span>based on measurements of the temporal variation of VLP period in the two large rockfalls that occurred on 29 August 2012.</span></p>","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":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":"<p id=\"sp0050\">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&nbsp;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.</p><p id=\"sp0055\">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 <sup>206</sup>Pb/<sup>238</sup>U ages that ranged from 1.64±0.36 (2<i>σ</i>) to 6.16±0.50&nbsp;Ma for authigenic opal and from 8.34±0.28 to 11.2±1.3&nbsp;Ma for detrital opal/chalcedony. Three samples with the most radiogenic Pb isotope compositions also allowed calculation of <sup>207</sup>Pb/<sup>235</sup>U ages, which were concordant with <sup>206</sup>Pb/<sup>238</sup>U ages from the same samples.</p><p id=\"sp0060\">These results indicate that basin development at Midway Valley was initiated between about 8 and 6&nbsp;Ma, and that the basin was filled at long-term average deposition rates of less than 1&nbsp;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&nbsp;Ma.</p>","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":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":"<p>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.</p>","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":70189198,"text":"70189198 - 2013 - Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","interactions":[],"lastModifiedDate":"2017-07-05T17:08:05","indexId":"70189198","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3721,"text":"Water Resources Management","onlineIssn":"1573-1650","printIssn":"0920-4741","active":true,"publicationSubtype":{"id":10}},"title":"Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams","docAbstract":"<p><span>Manning’s roughness coefficient (</span><i class=\"EmphasisTypeItalic \">n</i><span>) has been widely used in the estimation of flood discharges or depths of flow in natural channels. Therefore, the selection of appropriate Manning’s<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">n</i><span>values is of paramount importance for hydraulic engineers and hydrologists and requires considerable experience, although extensive guidelines are available. Generally, the largest source of error in post-flood estimates (termed indirect measurements) is due to estimates of Manning’s n values, particularly when there has been minimal field verification of flow resistance. This emphasizes the need to improve methods for estimating n values. The objective of this study was to develop a soft computing model in the estimation of the Manning’s<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">n</i><span><span>&nbsp;</span>values using 75 discharge measurements on 21 high gradient streams in Colorado, USA. The data are from high gradient (S &gt; 0.002&nbsp;m/m), cobble- and boulder-bed streams for within bank flows. This study presents Gene-Expression Programming (GEP), an extension of Genetic Programming (GP), as an improved approach to estimate Manning’s roughness coefficient for high gradient streams. This study uses field data and assessed the potential of gene-expression programming (GEP) to estimate Manning’s<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">n</i><span><span>&nbsp;</span>values. GEP is a search technique that automatically simplifies genetic programs during an evolutionary processes (or evolves) to obtain the most robust computer program (e.g., simplify mathematical expressions, decision trees, polynomial constructs, and logical expressions). Field measurements collected by Jarrett (J Hydraulic Eng ASCE 110: 1519–1539,<span>&nbsp;</span></span><span class=\"CitationRef\">1984</span><span>) were used to train the GEP network and evolve programs. The developed network and evolved programs were validated by using observations that were not involved in training. GEP and ANN-RBF (artificial neural network-radial basis function) models were found to be substantially more effective (e.g., R</span><sup>2</sup><span><span>&nbsp;</span>for testing/validation of GEP and RBF-ANN is 0.745 and 0.65, respectively) than Jarrett’s (J Hydraulic Eng ASCE 110: 1519–1539,<span>&nbsp;</span></span><span class=\"CitationRef\">1984</span><span>) equation (R</span><sup>2</sup><span><span>&nbsp;</span>for testing/validation equals 0.58) in predicting the Manning’s<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">n</i><span>.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11269-012-0211-1","usgsCitation":"Azamathulla, H., and Jarrett, R.D., 2013, Use of gene-expression programming to estimate Manning’s roughness coefficient for high gradient streams: Water Resources Management, v. 27, no. 3, p. 715-729, https://doi.org/10.1007/s11269-012-0211-1.","productDescription":"15 p.","startPage":"715","endPage":"729","ipdsId":"IP-023452","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-27","publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7b2","contributors":{"authors":[{"text":"Azamathulla, H.","contributorId":194211,"corporation":false,"usgs":false,"family":"Azamathulla","given":"H.","email":"","affiliations":[],"preferred":false,"id":703509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarrett, Robert D. rjarrett@usgs.gov","contributorId":2260,"corporation":false,"usgs":true,"family":"Jarrett","given":"Robert","email":"rjarrett@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":703510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189203,"text":"70189203 - 2013 - Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","interactions":[],"lastModifiedDate":"2018-09-18T10:41:28","indexId":"70189203","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3069,"text":"Physics and Chemistry of the Earth, Parts A/B/C","active":true,"publicationSubtype":{"id":10}},"title":"Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system","docAbstract":"<p><span>This work demonstrates how available knowledge can be used to build more transparent and refutable computer models of groundwater systems. The Death Valley regional groundwater flow system, which surrounds a proposed site for a high level nuclear waste repository of the United States of America, and the Nevada National Security Site (NNSS), where nuclear weapons were tested, is used to explore model adequacy, identify parameters important to (and informed by) observations, and identify existing old and potential new observations important to predictions. Model development is pursued using a set of fundamental questions addressed with carefully designed metrics. Critical methods include using a hydrogeologic model, managing model nonlinearity by designing models that are robust while maintaining realism, using error-based weighting to combine disparate types of data, and identifying important and unimportant parameters and observations and optimizing parameter values with computationally frugal schemes. The frugal schemes employed in this study require relatively few (10–1000</span><span>&nbsp;</span><span>s), parallelizable model runs. This is beneficial because models able to approximate the complex site geology defensibly tend to have high computational cost. The issue of model defensibility is particularly important given the contentious political issues involved.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.pce.2013.03.006","usgsCitation":"Hill, M.C., Faunt, C., Belcher, W., Sweetkind, D.S., Tiedeman, C.R., and Kavetski, D., 2013, Knowledge, transparency, and refutability in groundwater models, an example from the Death Valley regional groundwater flow system: Physics and Chemistry of the Earth, Parts A/B/C, v. 64, p. 105-116, https://doi.org/10.1016/j.pce.2013.03.006.","productDescription":"12 p.","startPage":"105","endPage":"116","ipdsId":"IP-041690","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Death Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118,\n              35.5\n            ],\n            [\n              -115,\n              35.5\n            ],\n            [\n              -115,\n              38\n            ],\n            [\n              -118,\n              38\n            ],\n            [\n              -118,\n              35.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab8e4b0d1f9f056a7ae","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":703473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belcher, Wayne wbelcher@usgs.gov","contributorId":1759,"corporation":false,"usgs":true,"family":"Belcher","given":"Wayne","email":"wbelcher@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":703476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":703474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":703508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kavetski, Dmitri","contributorId":194182,"corporation":false,"usgs":false,"family":"Kavetski","given":"Dmitri","email":"","affiliations":[],"preferred":false,"id":703477,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70042126,"text":"70042126 - 2013 - Fate of geothermal mercury from Yellowstone National Park in the Madison and Missouri Rivers, USA","interactions":[],"lastModifiedDate":"2023-06-22T18:34:37.703497","indexId":"70042126","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Fate of geothermal mercury from Yellowstone National Park in the Madison and Missouri Rivers, USA","docAbstract":"<p>Mercury is a worldwide contaminant derived from natural and anthropogenic sources. River systems play a key role in the transport and fate of Hg because they drain widespread areas affected by aerial Hg deposition, transport Hg away from point sources, and are sites of Hg biogeochemical cycling and bioaccumulation. The Madison and Missouri Rivers provide a natural laboratory for studying the fate and transport of Hg contributed by geothermal discharge in Yellowstone National Park and from the atmosphere for a large drainage basin in Montana and Wyoming, United States of America (USA). Assessing Hg in these rivers also is important because they support fishery-based recreation and irrigated agriculture. During 2002 to 2006, Hg concentrations were measured in water, sediment, and fish from the main stem, 7 tributaries, and 6 lakes. Using these data, the geothermal Hg load to the Madison River and overall fate of Hg along 378 km of the Missouri River system were assessed. Geothermal Hg was the primary source of elevated total Hg concentrations in unfiltered water (6.2–31.2 ng/L), sediment (148–1100 ng/g), and brown and rainbow trout (0.12– 1.23 µg total Hg/g wet weight skinless filet) upstream from Hebgen Lake (the uppermost impoundment). Approximately 7.0 kg/y of geothermal Hg was discharged from the park via the Madison River, and an estimated 87% of that load was lost to sedimentation in and volatilization from Hebgen Lake. Consequently, Hg concentrations in water, sediment, and fish from main-stem sites downstream from Hebgen Lake were not elevated and were comparable to concentrations reported for other areas affected solely by atmospheric Hg deposition. Some Hg was sequestered in sediment in the downstream lakes. Bioaccumulation of Hg in fish along the river system was strongly correlated (r<sup>2</sup>=0.76–0.86) with unfiltered total and methyl Hg concentrations in water and total Hg in sediment.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.10.080","usgsCitation":"Nimick, D.A., Caldwell, R.R., Skaar, D.R., and Selch, T.M., 2013, Fate of geothermal mercury from Yellowstone National Park in the Madison and Missouri Rivers, USA: Science of the Total Environment, v. 443, p. 40-54, https://doi.org/10.1016/j.scitotenv.2012.10.080.","productDescription":"15 p.","startPage":"40","endPage":"54","ipdsId":"IP-034322","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":264961,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,44.75 ], [ -112,46.5 ], [ -111.2,46.5 ], [ -111.2,44.75 ], [ -112,44.75 ] ] ] } } ] }","volume":"443","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cffae4b0a4aa5bb0aeec","chorus":{"doi":"10.1016/j.scitotenv.2012.10.080","url":"http://dx.doi.org/10.1016/j.scitotenv.2012.10.080","publisher":"Elsevier BV","authors":"Nimick David A., Caldwell Rodney R., Skaar Donald R., Selch Trevor M.","journalName":"Science of The Total Environment","publicationDate":"1/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":470810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":470811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skaar, Donald R.","contributorId":45200,"corporation":false,"usgs":true,"family":"Skaar","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selch, Trevor M.","contributorId":42854,"corporation":false,"usgs":true,"family":"Selch","given":"Trevor","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042143,"text":"70042143 - 2013 - CO<sub>2</sub> uptake and ecophysiological parameters of the grain crops of midcontinent North America: estimates from flux tower measurements","interactions":[],"lastModifiedDate":"2017-05-11T15:14:45","indexId":"70042143","displayToPublicDate":"2012-12-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"CO<sub>2</sub> uptake and ecophysiological parameters of the grain crops of midcontinent North America: estimates from flux tower measurements","docAbstract":"We analyzed net CO<sub>2</sub> exchange data from 13 flux tower sites with 27 site-years of measurements over maize and wheat fields across midcontinent North America. A numerically robust “light-soil temperature-VPD”-based method was used to partition the data into photosynthetic assimilation and ecosystem respiration components. Year-round ecosystem-scale ecophysiological parameters of apparent quantum yield, photosynthetic capacity, convexity of the light response, respiration rate parameters, ecological light-use efficiency, and the curvature of the VPD-response of photosynthesis for maize and wheat crops were numerically identified and interpolated/extrapolated. This allowed us to gap-fill CO<sub>2</sub> exchange components and calculate annual totals and budgets. VPD-limitation of photosynthesis was systematically observed in grain crops of the region (occurring from 20 to 120 days during the growing season, depending on site and year), determined by the VPD regime and the numerical value of the curvature parameter of the photosynthesis-VPD-response, σ<sub>VPD</sub>. In 78% of the 27 site-years of observations, annual gross photosynthesis in these crops significantly exceeded ecosystem respiration, resulting in a net ecosystem production of up to 2100 g CO<sub>2</sub> m<sup>−2</sup> year<sup>−1</sup>. The measurement-based photosynthesis, respiration, and net ecosystem production data, as well as the estimates of the ecophysiological parameters, provide an empirical basis for parameterization and validation of mechanistic models of grain crop production in this economically and ecologically important region of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agriculture, Ecosystems and Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.agee.2012.09.017","usgsCitation":"Gilmanov, T., Wylie, B., Tieszen, L., Meyers, T.P., Baron, V.S., Bernacchi, C.J., Billesbach, D.P., Burba, G.G., Fischer, M.L., Glenn, A.J., Hanan, N., Hatfield, J.L., Heuer, M., Hollinger, S.E., Howard, D., Matamala, R., Prueger, J.H., Tenuta, M., and Young, D.G., 2013, CO<sub>2</sub> uptake and ecophysiological parameters of the grain crops of midcontinent North America: estimates from flux tower measurements: Agriculture, Ecosystems and Environment, v. 164, p. 162-175, https://doi.org/10.1016/j.agee.2012.09.017.","productDescription":"14 p.","startPage":"162","endPage":"175","ipdsId":"IP-037756","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264830,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agee.2012.09.017"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"164","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe6e4b0a4aa5bb0ae94","contributors":{"authors":[{"text":"Gilmanov, Tagir","contributorId":6351,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","affiliations":[],"preferred":false,"id":470827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":470845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry","contributorId":63907,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","affiliations":[],"preferred":false,"id":470835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyers, Tilden P.","contributorId":146138,"corporation":false,"usgs":false,"family":"Meyers","given":"Tilden","email":"","middleInitial":"P.","affiliations":[{"id":16598,"text":"NOAA/ATDD","active":true,"usgs":false}],"preferred":false,"id":470834,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Vern S.","contributorId":77019,"corporation":false,"usgs":true,"family":"Baron","given":"Vern","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":470838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bernacchi, Carl J.","contributorId":26206,"corporation":false,"usgs":true,"family":"Bernacchi","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470828,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Billesbach, David P.","contributorId":29715,"corporation":false,"usgs":true,"family":"Billesbach","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470829,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burba, George G.","contributorId":38449,"corporation":false,"usgs":true,"family":"Burba","given":"George","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470831,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Marc L.","contributorId":47265,"corporation":false,"usgs":true,"family":"Fischer","given":"Marc","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470832,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Glenn, Aaron J.","contributorId":51178,"corporation":false,"usgs":true,"family":"Glenn","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470833,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hanan, Niall P.","contributorId":86667,"corporation":false,"usgs":true,"family":"Hanan","given":"Niall P.","affiliations":[],"preferred":false,"id":470840,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hatfield, Jerry L.","contributorId":71082,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jerry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470837,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Heuer, Mark W.","contributorId":34009,"corporation":false,"usgs":true,"family":"Heuer","given":"Mark W.","affiliations":[],"preferred":false,"id":470830,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hollinger, Steven E.","contributorId":107588,"corporation":false,"usgs":true,"family":"Hollinger","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470844,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Howard, Daniel M. 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":97795,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","affiliations":[],"preferred":false,"id":470842,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Matamala, Roser","contributorId":85063,"corporation":false,"usgs":true,"family":"Matamala","given":"Roser","email":"","affiliations":[],"preferred":false,"id":470839,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Prueger, John H.","contributorId":87046,"corporation":false,"usgs":true,"family":"Prueger","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":470841,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tenuta, Mario","contributorId":65740,"corporation":false,"usgs":true,"family":"Tenuta","given":"Mario","affiliations":[],"preferred":false,"id":470836,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Young, David G.","contributorId":99019,"corporation":false,"usgs":true,"family":"Young","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470843,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70042064,"text":"70042064 - 2013 - Projected surface radiative forcing due to 2000--2050 land-cover land-use albedo change over the eastern United States","interactions":[],"lastModifiedDate":"2013-10-23T08:45:42","indexId":"70042064","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2366,"text":"Journal of Land Change Science","active":true,"publicationSubtype":{"id":10}},"title":"Projected surface radiative forcing due to 2000--2050 land-cover land-use albedo change over the eastern United States","docAbstract":"Satellite-derived contemporary land-cover land-use (LCLU) and albedo data and modeled future LCLU are used to study the impact of LCLU change from 2000 to 2050 on surface albedo and radiative forcing for 19 ecoregions in the eastern United States. The modeled 2000–2050 LCLU changes indicate a future decrease in both agriculture and forested land and an increase in developed land that induces ecoregion radiative forcings ranging from −0.175 to 0.432 W m<sup>−2</sup> driven predominately by differences in the area and type of LCLU change. At the regional scale, these projected LCLU changes induce a net negative albedo decrease (−0.001) and a regional positive radiative forcing of 0.112 W m<sup>−2</sup>. This overall positive forcing (i.e., warming) is almost 4 times greater than that estimated for documented 1973–2000 LCLU albedo change published in a previous study using the same methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Land Change Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/1747423X.2012.667453","usgsCitation":"Barnes, C., Roy, D.P., and Loveland, T., 2013, Projected surface radiative forcing due to 2000--2050 land-cover land-use albedo change over the eastern United States: Journal of Land Change Science, v. 8, no. 4, p. 369-382, https://doi.org/10.1080/1747423X.2012.667453.","productDescription":"14 p.","startPage":"369","endPage":"382","ipdsId":"IP-029007","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1747423x.2012.667453","text":"Publisher Index Page"},{"id":264752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264751,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/1747423X.2012.667453"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e492dbe4b0e8fec6cd8b73","contributors":{"authors":[{"text":"Barnes, Christopher A. 0000-0002-4608-4364","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":92793,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher A.","affiliations":[],"preferred":false,"id":470723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, David P.","contributorId":71083,"corporation":false,"usgs":true,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470721,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039846,"text":"70039846 - 2013 - A framework for understanding semi-permeable barrier effects on migratory ungulates","interactions":[],"lastModifiedDate":"2013-02-12T16:23:26","indexId":"70039846","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A framework for understanding semi-permeable barrier effects on migratory ungulates","docAbstract":"1. Impermeable barriers to migration can greatly constrain the set of possible routes and ranges used by migrating animals. For ungulates, however, many forms of development are semi-permeable, and making informed management decisions about their potential impacts to the persistence of migration routes is difficult because our knowledge of how semi-permeable barriers affect migratory behaviour and function is limited. 2. Here, we propose a general framework to advance the understanding of barrier effects on ungulate migration by emphasizing the need to (i) quantify potential barriers in terms that allow behavioural thresholds to be considered, (ii) identify and measure behavioural responses to semi-permeable barriers and (iii) consider the functional attributes of the migratory landscape (e.g. stopovers) and how the benefits of migration might be reduced by behavioural changes. 3. We used global position system (GPS) data collected from two subpopulations of mule deer <i>Odocoileus hemionus</i> to evaluate how different levels of gas development influenced migratory behaviour, including movement rates and stopover use at the individual level, and intensity of use and width of migration route at the population level. We then characterized the functional landscape of migration routes as either stopover habitat or movement corridors and examined how the observed behavioural changes affected the functionality of the migration route in terms of stopover use. 4. We found migratory behaviour to vary with development intensity. Our results suggest that mule deer can migrate through moderate levels of development without any noticeable effects on migratory behaviour. However, in areas with more intensive development, animals often detoured from established routes, increased their rate of movement and reduced stopover use, while the overall use and width of migration routes decreased. 5. <i>Synthesis and applications</i>. In contrast to impermeable barriers that impede animal movement, semi-permeable barriers allow animals to maintain connectivity between their seasonal ranges. Our results identify the mechanisms (e.g. detouring, increased movement rates, reduced stopover use) by which semi-permeable barriers affect the functionality of ungulate migration routes and emphasize that the management of semi-permeable barriers may play a key role in the conservation of migratory ungulate populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/1365-2664.12013","usgsCitation":"Sawyer, H., Kauffman, M., Middleton, A., Morrison, T.A., Nielson, R.M., and Wyckoff, T.B., 2013, A framework for understanding semi-permeable barrier effects on migratory ungulates: Journal of Applied Ecology, v. 50, no. 1, p. 68-78, https://doi.org/10.1111/1365-2664.12013.","productDescription":"11 p.","startPage":"68","endPage":"78","ipdsId":"IP-039279","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12013","text":"Publisher Index Page"},{"id":264118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264117,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12013"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-05","publicationStatus":"PW","scienceBaseUri":"50d20b6ee4b08b071e771b0d","contributors":{"authors":[{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":467047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":2963,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Arthur D.","contributorId":99440,"corporation":false,"usgs":true,"family":"Middleton","given":"Arthur D.","affiliations":[],"preferred":false,"id":467051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Thomas A.","contributorId":72277,"corporation":false,"usgs":true,"family":"Morrison","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nielson, Ryan M.","contributorId":78971,"corporation":false,"usgs":false,"family":"Nielson","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":467050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wyckoff, Teal B.","contributorId":62902,"corporation":false,"usgs":true,"family":"Wyckoff","given":"Teal","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":467048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041727,"text":"70041727 - 2013 - Assessing the state of knowledge of utility-scale wind energy development and operation on non-volant terrestrial and marine wildlife","interactions":[],"lastModifiedDate":"2012-12-13T20:16:03","indexId":"70041727","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":832,"text":"Applied Energy","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the state of knowledge of utility-scale wind energy development and operation on non-volant terrestrial and marine wildlife","docAbstract":"A great deal has been published in the scientific literature regarding the effects of wind energy development and operation on volant (flying) wildlife including birds and bats, although knowledge of how to mitigate negative impacts is still imperfect. We reviewed the peer-reviewed scientific literature for information on the known and potential effects of utility-scale wind energy development and operation (USWEDO) on terrestrial and marine non-volant wildlife and found that very little has been published on the topic. Following a similar review for solar energy we identified known and potential effects due to construction and eventual decommissioning of wind energy facilities. Many of the effects are similar and include direct mortality, environmental impacts of destruction and modification of habitat including impacts of roads, and offsite impacts related to construction material acquisition, processing and transportation. Known and potential effects due to operation and maintenance of facilities include habitat fragmentation and barriers to gene flow, as well as effects due to noise, vibration and shadow flicker, electromagnetic field generation, macro- and micro-climate change, predator attraction, and increased fire risk. The scarcity of before-after-control-impact studies hinders the ability to rigorously quantify the effects of USWEDO on non-volant wildlife. We conclude that more empirical data are currently needed to fully assess the impact of USWEDO on non-volant wildlife.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Energy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apenergy.2012.10.001","usgsCitation":"Lovich, J.E., and Ennen, J., 2013, Assessing the state of knowledge of utility-scale wind energy development and operation on non-volant terrestrial and marine wildlife: Applied Energy, v. 103, p. 52-60, https://doi.org/10.1016/j.apenergy.2012.10.001.","productDescription":"9 p.","startPage":"52","endPage":"60","ipdsId":"IP-038151","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":263938,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apenergy.2012.10.001"},{"id":264019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cb5764e4b09e092d6f03d1","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":470112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":470113,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041741,"text":"70041741 - 2013 - Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery","interactions":[],"lastModifiedDate":"2018-01-16T11:28:06","indexId":"70041741","displayToPublicDate":"2012-12-11T00:00:00","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":"Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery","docAbstract":"Widespread tree mortality events have recently been observed in several biomes. To effectively quantify the severity and extent of these events, tools that allow for rapid assessment at the landscape scale are required. Past studies using high spatial resolution satellite imagery have primarily focused on detecting green, red, and gray tree canopies during and shortly after tree damage or mortality has occurred. However, detecting trees in various stages of death is not always possible due to limited availability of archived satellite imagery. Here we assess the capability of high spatial resolution satellite imagery for tree mortality detection in a southwestern U.S. mixed species woodland using archived satellite images acquired prior to mortality and well after dead trees had dropped their leaves. We developed a multistep classification approach that uses: supervised masking of non-tree image elements; bi-temporal (pre- and post-mortality) differencing of normalized difference vegetation index (NDVI) and red:green ratio (RGI); and unsupervised multivariate clustering of pixels into live and dead tree classes using a Gaussian mixture model. Classification accuracies were improved in a final step by tuning the rules of pixel classification using the posterior probabilities of class membership obtained from the Gaussian mixture model. Classifications were produced for two images acquired post-mortality with overall accuracies of 97.9% and 98.5%, respectively. Classified images were combined with land cover data to characterize the spatiotemporal characteristics of tree mortality across areas with differences in tree species composition. We found that 38% of tree crown area was lost during the drought period between 2002 and 2006. The majority of tree mortality during this period was concentrated in piñon-juniper (<i>Pinus edulis-Juniperus monosperma</i>) woodlands. An additional 20% of the tree canopy died or was removed between 2006 and 2011, primarily in areas experiencing wildfire and management activity. -Our results demonstrate that unsupervised clustering of bi-temporal NDVI and RGI differences can be used to detect tree mortality resulting from numerous causes and in several forest cover types.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2012.10.029","usgsCitation":"Garrity, S.R., Allen, C.D., Brumby, S.P., Gangodagamage, C., McDowell, N.G., and Cai, D.M., 2013, Quantifying tree mortality in a mixed species woodland using multitemporal high spatial resolution satellite imagery: Remote Sensing of Environment, v. 129, p. 54-65, https://doi.org/10.1016/j.rse.2012.10.029.","productDescription":"12 p.","startPage":"54","endPage":"65","ipdsId":"IP-041894","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":263968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"129","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c8561ee4b03bc63bd679ae","contributors":{"authors":[{"text":"Garrity, Steven R.","contributorId":43648,"corporation":false,"usgs":true,"family":"Garrity","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":470138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumby, Steven P.","contributorId":31276,"corporation":false,"usgs":true,"family":"Brumby","given":"Steven","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":470139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gangodagamage, Chandana","contributorId":60922,"corporation":false,"usgs":true,"family":"Gangodagamage","given":"Chandana","email":"","affiliations":[],"preferred":false,"id":470142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDowell, Nate G.","contributorId":46839,"corporation":false,"usgs":true,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cai, D. 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,{"id":70041615,"text":"70041615 - 2013 - Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets","interactions":[],"lastModifiedDate":"2013-03-04T21:00:49","indexId":"70041615","displayToPublicDate":"2012-12-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets","docAbstract":"In this paper we detail a multivariate spatial regression model that couples LiDAR, hyperspectral and forest inventory data to predict forest outcome variables at a high spatial resolution. The proposed model is used to analyze forest inventory data collected on the US Forest Service Penobscot Experimental Forest (PEF), ME, USA. In addition to helping meet the regression model's assumptions, results from the PEF analysis suggest that the addition of multivariate spatial random effects improves model fit and predictive ability, compared with two commonly applied modeling approaches. This improvement results from explicitly modeling the covariation among forest outcome variables and spatial dependence among observations through the random effects. Direct application of such multivariate models to even moderately large datasets is often computationally infeasible because of cubic order matrix algorithms involved in estimation. We apply a spatial dimension reduction technique to help overcome this computational hurdle without sacrificing richness in modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Applied Earth Observation and Geoinformation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jag.2012.04.007","usgsCitation":"Finley, A., Banerjee, S., Cook, B.D., and Bradford, J.B., 2013, Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets: International Journal of Applied Earth Observation and Geoinformation, v. 22, p. 147-160, https://doi.org/10.1016/j.jag.2012.04.007.","productDescription":"14 p.","startPage":"147","endPage":"160","ipdsId":"IP-032166","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2012.04.007","text":"Publisher Index Page"},{"id":263883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263867,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jag.2012.04.007"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot Experimental Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.08,42.97 ], [ -71.08,47.46 ], [ -66.95,47.46 ], [ -66.95,42.97 ], [ -71.08,42.97 ] ] ] } } ] }","volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c4618be4b0e44331d0716c","contributors":{"authors":[{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":469986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banerjee, Sudipto","contributorId":73894,"corporation":false,"usgs":true,"family":"Banerjee","given":"Sudipto","email":"","affiliations":[],"preferred":false,"id":469987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Bruce D.","contributorId":75402,"corporation":false,"usgs":true,"family":"Cook","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":469985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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