The tsunami impact on the Spanish and North African coasts of the Alboran Sea generated by several reliable seismic tsunamigenic sources in this area was modeled. The tectonic setting is complex and a study of the potential sources from geological data is basic to obtain probable source characteristics. The tectonic structures considered in this study as potentially tsunamigenic are: the Alboran Ridge associated structures, the Carboneras Fault Zone and the Yusuf Fault Zone. We characterized 12 probable tsunamigenic seismic sources in the Alboran Basin based on the results of recent oceanographical studies. The strain rate in the area is low and therefore its seismicity is moderate and cannot be used to infer characteristics of the major seismic sources. These sources have been used as input for the numerical simulation of the wave propagation, based on the solution of the nonlinear shallow water equations through a finite-difference technique. We calculated the Maximum Wave Elevations, and Tsunami Travel Times using the numerical simulations. The results are shown as maps and profiles along the Spanish and African coasts. The sources associated with the Alboran Ridge show the maximum potential to generate damaging tsunamis, with maximum wave elevations in front of the coast exceeding 1.5 m. The Carboneras and Yusuf faults are not capable of generating disastrous tsunamis on their own, although their proximity to the coast could trigger landslides and associated sea disturbances. The areas which are more exposed to the impact of tsunamis generated in the Alboran Sea are the Spanish coast between Malaga and Adra, and the African coast between Alhoceima and Melilla.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.03.008","issn":"00253227","usgsCitation":"Alvarez-Gomez, J.A., Aniel-Quiroga, I., Gonzalez, M., Olabarrieta, M., and Carreno, E., 2011, Scenarios for earthquake-generated tsunamis on a complex tectonic area of diffuse deformation and low velocity: The Alboran Sea, Western Mediterranean: Marine Geology, v. 284, no. 1-4, p. 55-73, https://doi.org/10.1016/j.margeo.2011.03.008.","productDescription":"19 p.","startPage":"55","endPage":"73","costCenters":[],"links":[{"id":475056,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.ucm.es/id/eprint/25767/1/1-s2.0-S0025322711000703-01.pdf","text":"External Repository"},{"id":243193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8736e4b08c986b31638f","contributors":{"authors":[{"text":"Alvarez-Gomez, J. A.","contributorId":71411,"corporation":false,"usgs":true,"family":"Alvarez-Gomez","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":449490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aniel-Quiroga, I.","contributorId":6278,"corporation":false,"usgs":true,"family":"Aniel-Quiroga","given":"I.","email":"","affiliations":[],"preferred":false,"id":449487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez, M.","contributorId":46321,"corporation":false,"usgs":true,"family":"Gonzalez","given":"M.","email":"","affiliations":[],"preferred":false,"id":449488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":81631,"corporation":false,"usgs":true,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":449489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carreno, E.","contributorId":77382,"corporation":false,"usgs":true,"family":"Carreno","given":"E.","email":"","affiliations":[],"preferred":false,"id":449491,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035119,"text":"70035119 - 2011 - Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data","interactions":[],"lastModifiedDate":"2013-03-18T13:20:59","indexId":"70035119","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data","docAbstract":"LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applications. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction with a large volume of field information to generate detailed vegetation type and structure data sets for the entire United States. In order to keep these data sets current and relevant to resource managers, there was strong need to develop an approach for updating these products. We are using three different approaches for these purposes. These include: 1) updating using Landsat-derived historic and current fire burn information derived from the Monitoring Trends in Burn Severity project; 2) incorporating vegetation disturbance information derived from time series Landsat data analysis using the Vegetation Change Tracker; and 3) developing data products that capture subtle intra-state disturbance such as those related to insects and disease using either Landsat or the Moderate Resolution Imaging Spectroradiometer (MODIS). While no one single approach provides all of the land cover change and update information required, we believe that a combination of all three captures most of the disturbance conditions taking place that have relevance to the fire community.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Electrical and Electronics Engineers","publisherLocation":"New York, NY","doi":"10.1109/JSTARS.2010.2044478","usgsCitation":"Vogelmann, J., Kost, J.R., Tolk, B., Howard, S.M., Short, K., Chen, X., Huang, C., Pabst, K., and Rollins, M.G., 2011, Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 4, no. 2, p. 252-264, https://doi.org/10.1109/JSTARS.2010.2044478.","startPage":"252","endPage":"264","numberOfPages":"13","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475055,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.2217","text":"External Repository"},{"id":215417,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2010.2044478"},{"id":243223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dbae4b0c8380cd7056f","contributors":{"authors":[{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":449369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kost, Jay R. jkost@usgs.gov","contributorId":3931,"corporation":false,"usgs":true,"family":"Kost","given":"Jay","email":"jkost@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":449371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tolk, Brian 0000-0002-9060-0266","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":62426,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","affiliations":[],"preferred":false,"id":449377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":449370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Short, Karen","contributorId":33940,"corporation":false,"usgs":true,"family":"Short","given":"Karen","affiliations":[],"preferred":false,"id":449375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":449373,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":449374,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pabst, Kari","contributorId":12284,"corporation":false,"usgs":true,"family":"Pabst","given":"Kari","email":"","affiliations":[],"preferred":false,"id":449372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rollins, Matthew G.","contributorId":54695,"corporation":false,"usgs":true,"family":"Rollins","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":449376,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70035118,"text":"70035118 - 2011 - The development of an EDSS: Lessons learned and implications for DSS research","interactions":[],"lastModifiedDate":"2021-06-14T19:51:32.448528","indexId":"70035118","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The development of an EDSS: Lessons learned and implications for DSS research","docAbstract":"The Solar and Wind Energy Resource Assessment (SWERA) project is focused on providing renewable energy (RE) planning resources to the public. Examples include wind, solar, and hydro assessments. SWERA DSS consists of three major components. First, SWERA 'Product Archive' provides for a discovery DSS upon which users can find and access renewable energy data and supporting models. Second, the 'Renewable Resource EXplorer' (RREX) component serves as a web-based, GIS analysis tool for viewing RE resource data available through the SWERA Product Archive. Third, the SWERA web service provides computational access to the data available in the SWERA spatial database through a location based query, and is also utilized in the RREX component. We provide a discussion of various design decisions used in the construction of this EDSS, followed by project experiences and implications for EDSS and broader DSS research.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Annual Hawaii International Conference on System Sciences","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"44th Hawaii International Conference on System Sciences, HICSS-44 2010","conferenceDate":"January, 4-7,2011","conferenceLocation":"Koloa, Kauai, HI","language":"English","publisher":"IEEE","doi":"10.1109/HICSS.2011.405","issn":"15301605","isbn":"9780769542829","usgsCitation":"El-Gayar, O., Deokar, A., Michels, L., and Fosnight, E.A., 2011, The development of an EDSS: Lessons learned and implications for DSS research, in Proceedings of the Annual Hawaii International Conference on System Sciences, Koloa, Kauai, HI, January, 4-7,2011, 10 p., https://doi.org/10.1109/HICSS.2011.405.","productDescription":"10 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243192,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215392,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/HICSS.2011.405"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baaa4e4b08c986b3228ec","contributors":{"authors":[{"text":"El-Gayar, O.","contributorId":64914,"corporation":false,"usgs":true,"family":"El-Gayar","given":"O.","email":"","affiliations":[],"preferred":false,"id":449365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deokar, A.","contributorId":69802,"corporation":false,"usgs":true,"family":"Deokar","given":"A.","email":"","affiliations":[],"preferred":false,"id":449366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michels, L.","contributorId":92073,"corporation":false,"usgs":true,"family":"Michels","given":"L.","email":"","affiliations":[],"preferred":false,"id":449367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fosnight, Eugene A. 0000-0002-8557-3697 fosnight@usgs.gov","orcid":"https://orcid.org/0000-0002-8557-3697","contributorId":2961,"corporation":false,"usgs":true,"family":"Fosnight","given":"Eugene","email":"fosnight@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":449368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035117,"text":"70035117 - 2011 - Lead isotopes in soils and groundwaters as tracers of the impact of human activities on the surface environment: The Domizio-Flegreo Littoral (Italy) case study","interactions":[],"lastModifiedDate":"2021-03-01T20:05:47.474207","indexId":"70035117","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Lead isotopes in soils and groundwaters as tracers of the impact of human activities on the surface environment: The Domizio-Flegreo Littoral (Italy) case study","docAbstract":"The isotopic signature of geogenic and anthropogenic materials, in combination with concentration data for pollutants, can help trace the origin and the extent of contamination in the environment. This approach is particularly effective if naturally occurring and anthropogenically introduced metals have different isotopic ratios. Lead isotope analysis on soils from 7 profiles (1 m depth) and on groundwaters from 8 wells have been used to determine the impact of human activities on the surface environment of Domizio-Flegreo Littoral.
Result obtained show that in sub-rural areas the isotopic composition of the samples collected along the soil profiles of Domizio-Flegreo Littoral is likely mostly controlled by the nature of the parent geologic material (natural) while in more urbanized areas (Giugliano) Pb isotopic composition in superficial soils is mostly influenced by anthropic sources such as motor vehicles. Lead isotopic ratios in groundwaters also show that the use of pesticides and, probably, the influence of aerosols and the presence of illegal waste disposal can influence water quality.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2010.09.012","issn":"03756742","usgsCitation":"Grezzi, G., Ayuso, R.A., de Vivo, B., Lima, A., and Albanese, S., 2011, Lead isotopes in soils and groundwaters as tracers of the impact of human activities on the surface environment: The Domizio-Flegreo Littoral (Italy) case study: Journal of Geochemical Exploration, v. 109, no. 1-3, p. 51-58, https://doi.org/10.1016/j.gexplo.2010.09.012.","productDescription":"8 p.","startPage":"51","endPage":"58","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":215391,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gexplo.2010.09.012"},{"id":243191,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"The Domizio-Flegreo Littoral","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 13.436279296875,\n 41.261291493919884\n ],\n [\n 13.9581298828125,\n 40.78470081841747\n ],\n [\n 14.23828125,\n 40.79301881008675\n ],\n [\n 14.501953124999998,\n 41.04207384890103\n ],\n [\n 14.315185546875,\n 41.31082388091818\n ],\n [\n 14.007568359374998,\n 41.52502957323801\n ],\n [\n 13.436279296875,\n 41.261291493919884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a45c5e4b0c8380cd674ba","contributors":{"authors":[{"text":"Grezzi, G.","contributorId":62425,"corporation":false,"usgs":true,"family":"Grezzi","given":"G.","email":"","affiliations":[],"preferred":false,"id":449363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":449360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Vivo, B.","contributorId":50549,"corporation":false,"usgs":false,"family":"de Vivo","given":"B.","affiliations":[],"preferred":false,"id":449362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lima, A.","contributorId":74884,"corporation":false,"usgs":true,"family":"Lima","given":"A.","affiliations":[],"preferred":false,"id":449364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albanese, S.","contributorId":35972,"corporation":false,"usgs":true,"family":"Albanese","given":"S.","affiliations":[],"preferred":false,"id":449361,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035092,"text":"70035092 - 2011 - Efficiency of time-lapse intervals and simple baits for camera surveys of wild pigs","interactions":[],"lastModifiedDate":"2021-03-01T20:29:58.859652","indexId":"70035092","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Efficiency of time-lapse intervals and simple baits for camera surveys of wild pigs","docAbstract":"Growing concerns surrounding established and expanding populations of wild pigs (Sus scrofa) have created the need for rapid and accurate surveys of these populations. We conducted surveys of a portion of the wild pig population on Fort Benning, Georgia, to determine if a longer time‐lapse interval than had been previously used in surveys of wild pigs would generate similar detection results. We concurrently examined whether use of soured corn at camera sites affected the time necessary for pigs to locate a new camera site or the time pigs remained at a site. Our results suggest that a 9‐min time‐lapse interval generated dependable detection results for pigs and that soured corn neither attracted pigs to a site any quicker than plain, dry, whole‐kernel corn, nor held them at a site longer. Maximization of time‐lapse interval should decrease data and processing loads, and use of a simple, available bait should decrease cost and effort associated with more complicated baits; combination of these concepts should increase efficiency of wild pig surveys.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.75","issn":"0022541X","usgsCitation":"Williams, B., Holtfreter, R., Ditchkoff, S., and Grand, J.B., 2011, Efficiency of time-lapse intervals and simple baits for camera surveys of wild pigs: Journal of Wildlife Management, v. 75, no. 3, p. 655-659, https://doi.org/10.1002/jwmg.75.","productDescription":"5 p.","startPage":"655","endPage":"659","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":243350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215539,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.75"}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Benning","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.9188232421875,\n 32.298741441902436\n ],\n [\n -84.71145629882812,\n 32.298741441902436\n ],\n [\n -84.71145629882812,\n 32.43213582305027\n ],\n [\n -84.9188232421875,\n 32.43213582305027\n ],\n [\n -84.9188232421875,\n 32.298741441902436\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-11","publicationStatus":"PW","scienceBaseUri":"505a0866e4b0c8380cd51ade","contributors":{"authors":[{"text":"Williams, B.L.","contributorId":69804,"corporation":false,"usgs":true,"family":"Williams","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":449272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holtfreter, R.W.","contributorId":67315,"corporation":false,"usgs":true,"family":"Holtfreter","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":449271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ditchkoff, S.S.","contributorId":100580,"corporation":false,"usgs":true,"family":"Ditchkoff","given":"S.S.","affiliations":[],"preferred":false,"id":449273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":449270,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035087,"text":"70035087 - 2011 - Prototyping an online wetland ecosystem services model using open model sharing standards","interactions":[],"lastModifiedDate":"2017-04-06T12:30:28","indexId":"70035087","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Prototyping an online wetland ecosystem services model using open model sharing standards","docAbstract":"Great interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.10.008","issn":"13648152","usgsCitation":"Feng, M., Liu, S., Euliss, N., Young, C., and Mushet, D., 2011, Prototyping an online wetland ecosystem services model using open model sharing standards: Environmental Modelling and Software, v. 26, no. 4, p. 458-468, https://doi.org/10.1016/j.envsoft.2010.10.008.","productDescription":"11 p.","startPage":"458","endPage":"468","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.10.008"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f98e4b0c8380cd7f860","contributors":{"authors":[{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":449229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":449233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, N.H.","contributorId":27836,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","affiliations":[],"preferred":false,"id":449230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":449231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":449232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035086,"text":"70035086 - 2011 - A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data","interactions":[],"lastModifiedDate":"2021-03-01T21:01:09.545734","indexId":"70035086","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data","docAbstract":"The USGS's Robotic Lunar Observatory (ROLO) dedicated ground‐based lunar calibration project obtained photometric observations of the Moon over the spectral range attainable from Earth (0.347–2.39 μm) and over solar phase angles of 1.55°–97°. From these observations, we derived empirical lunar surface solar phase functions for both the highlands and maria that can be used for a wide range of applications. The functions can be used to correct for the effects of viewing geometry to produce lunar mosaics, spectra, and quick‐look products for future lunar missions and ground‐based observations. Our methodology can be used for a wide range of objects for which multiply scattered radiation is not significant, including all but the very brightest asteroids and moons.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003724","issn":"01480227","usgsCitation":"Buratti, B.J., Hicks, M., Nettles, J., Staid, M., Pieters, C., Sunshine, J., Boardman, J., and Stone, T., 2011, A wavelength-dependent visible and infrared spectrophotometric function for the Moon based on ROLO data: Journal of Geophysical Research E: Planets, v. 116, no. 4, E00G03, 8 p., https://doi.org/10.1029/2010JE003724.","productDescription":"E00G03, 8 p.","costCenters":[],"links":[{"id":475176,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003724","text":"Publisher Index Page"},{"id":243255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215448,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003724"}],"volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-05","publicationStatus":"PW","scienceBaseUri":"5059e61ce4b0c8380cd47180","contributors":{"authors":[{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hicks, M.D.","contributorId":7045,"corporation":false,"usgs":true,"family":"Hicks","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":449221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nettles, J.","contributorId":108340,"corporation":false,"usgs":true,"family":"Nettles","given":"J.","email":"","affiliations":[],"preferred":false,"id":449228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staid, M.","contributorId":68561,"corporation":false,"usgs":true,"family":"Staid","given":"M.","email":"","affiliations":[],"preferred":false,"id":449224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":449223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sunshine, J.","contributorId":19812,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.","email":"","affiliations":[],"preferred":false,"id":449222,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boardman, J.","contributorId":74184,"corporation":false,"usgs":true,"family":"Boardman","given":"J.","affiliations":[],"preferred":false,"id":449226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stone, Thomas C. tstone@usgs.gov","contributorId":3176,"corporation":false,"usgs":true,"family":"Stone","given":"Thomas C.","email":"tstone@usgs.gov","affiliations":[],"preferred":true,"id":449227,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035063,"text":"70035063 - 2011 - Electronic tagging of green sturgeon reveals population structure and movement among estuaries","interactions":[],"lastModifiedDate":"2020-09-11T15:40:07.369657","indexId":"70035063","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Electronic tagging of green sturgeon reveals population structure and movement among estuaries","docAbstract":"Green sturgeon Acipenser medirostris spend much of their lives outside of their natal rivers, but the details of their migrations and habitat use are poorly known, which limits our understanding of how this species might be affected by human activities and habitat degradation. We tagged 355 green sturgeon with acoustic transmitters on their spawning grounds and in known nonspawning aggregation sites and examined their movement among these sites and other potentially important locations using automated data‐logging hydrophones. We found that green sturgeon inhabit a number of estuarine and coastal sites over the summer, including the Columbia River estuary, Willapa Bay, Grays Harbor, and the estuaries of certain smaller rivers in Oregon, especially the Umpqua River estuary. Green sturgeon from different natal rivers exhibited different patterns of habitat use; most notably, San Francisco Bay was used only by Sacramento River fish, while the Umpqua River estuary was used mostly by fish from the Klamath and Rogue rivers. Earlier work, based on analysis of microsatellite markers, suggested that the Columbia River mixed stock was mainly composed of fish from the Sacramento River, but our results indicate that fish from the Rogue and Klamath River populations frequently use the Columbia River as well. We also found evidence for the existence of migratory contingents within spawning populations. Our findings have significant implications for the management of the threatened Sacramento River population of green sturgeon, which migrates to inland waters outside of California where anthropogenic impacts, including fisheries bycatch and water pollution, may be a concern. Our results also illustrate the utility of acoustic tracking to elucidate the migratory behavior of animals that are otherwise difficult to observe.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2011.557017","usgsCitation":"Lindley, S., Erickson, D., Moser, M., Williams, G., Langness, O., McCovey, B., Belchik, M., Vogel, D., Pinnix, W., Kelly, J., Heublein, J., and Klimley, A., 2011, Electronic tagging of green sturgeon reveals population structure and movement among estuaries: Transactions of the American Fisheries Society, v. 140, no. 1, p. 108-122, https://doi.org/10.1080/00028487.2011.557017.","productDescription":"15 p.","startPage":"108","endPage":"122","numberOfPages":"15","costCenters":[],"links":[{"id":242888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378342,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://afspubs.onlinelibrary.wiley.com/doi/10.1080/00028487.2011.557017"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.43115234375,\n 46.09609080214316\n ],\n [\n -123.167724609375,\n 46.09609080214316\n ],\n [\n -123.167724609375,\n 47.29413372501023\n ],\n [\n -124.43115234375,\n 47.29413372501023\n ],\n [\n -124.43115234375,\n 46.09609080214316\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.6014404296875,\n 42.33418438593939\n ],\n [\n -123.17321777343749,\n 42.33418438593939\n ],\n [\n -123.17321777343749,\n 44.66474608911831\n ],\n [\n -124.6014404296875,\n 44.66474608911831\n ],\n [\n -124.6014404296875,\n 42.33418438593939\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8046875,\n 39.99395569397331\n ],\n [\n -122.10205078125,\n 39.99395569397331\n ],\n [\n -122.10205078125,\n 41.85319643776675\n ],\n [\n -124.8046875,\n 41.85319643776675\n ],\n [\n -124.8046875,\n 39.99395569397331\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06884765625,\n 37.17782559332976\n ],\n [\n -120.21240234375001,\n 37.17782559332976\n ],\n [\n -120.21240234375001,\n 40.245991504199026\n ],\n [\n -123.06884765625,\n 40.245991504199026\n ],\n [\n -123.06884765625,\n 37.17782559332976\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-25","publicationStatus":"PW","scienceBaseUri":"505a08ace4b0c8380cd51c0b","contributors":{"authors":[{"text":"Lindley, S.T.","contributorId":58458,"corporation":false,"usgs":true,"family":"Lindley","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":449109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, D.L.","contributorId":82496,"corporation":false,"usgs":true,"family":"Erickson","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":449113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moser, M.L.","contributorId":92006,"corporation":false,"usgs":true,"family":"Moser","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":449114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, G.","contributorId":73428,"corporation":false,"usgs":true,"family":"Williams","given":"G.","affiliations":[],"preferred":false,"id":449112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Langness, O.P.","contributorId":24585,"corporation":false,"usgs":true,"family":"Langness","given":"O.P.","affiliations":[],"preferred":false,"id":449105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCovey, B.W. Jr.","contributorId":66931,"corporation":false,"usgs":true,"family":"McCovey","given":"B.W.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":449111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belchik, M.","contributorId":20998,"corporation":false,"usgs":true,"family":"Belchik","given":"M.","email":"","affiliations":[],"preferred":false,"id":449104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vogel, D.","contributorId":57677,"corporation":false,"usgs":true,"family":"Vogel","given":"D.","email":"","affiliations":[],"preferred":false,"id":449108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pinnix, W.","contributorId":9482,"corporation":false,"usgs":true,"family":"Pinnix","given":"W.","affiliations":[],"preferred":false,"id":449103,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kelly, J.T.","contributorId":60034,"corporation":false,"usgs":true,"family":"Kelly","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":449110,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Heublein, J.C.","contributorId":38797,"corporation":false,"usgs":true,"family":"Heublein","given":"J.C.","affiliations":[],"preferred":false,"id":449107,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Klimley, A.P.","contributorId":26897,"corporation":false,"usgs":true,"family":"Klimley","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":449106,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70035030,"text":"70035030 - 2011 - A perspective on nonstationarity and water management","interactions":[],"lastModifiedDate":"2013-05-23T14:44:34","indexId":"70035030","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A perspective on nonstationarity and water management","docAbstract":"This essay offers some perspectives on climate-related nonstationarity and water resources. Hydrologists must not lose sight of the many sources of nonstationarity, recognizing that many of them may be of much greater magnitude than those that may arise from climate change. It is paradoxical that statistical and deterministic approaches give us better insights about changes in mean conditions than about the tails of probability distributions, and yet the tails are very important to water management. Another paradox is that it is difficult to distinguish between long-term hydrologic persistence and trend. Using very long hydrologic records is helpful in mitigating this problem, but does not guarantee success. Empirical approaches, using long-term hydrologic records, should be an important part of the portfolio of research being applied to understand the hydrologic response to climate change. An example presented here shows very mixed results for trends in the size of the annual floods, with some strong clusters of positive trends and a strong cluster of negative trends. The potential for nonstationarity highlights the importance of the continuity of hydrologic records, the need for repeated analysis of the data as the time series grow, and the need for a well-trained cadre of scientists and engineers, ready to interpret the data and use those analyses to help adjust the management of our water resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2011.00539.x","issn":"1093474X","usgsCitation":"Hirsch, R., 2011, A perspective on nonstationarity and water management: Journal of the American Water Resources Association, v. 47, no. 3, p. 436-446, https://doi.org/10.1111/j.1752-1688.2011.00539.x.","productDescription":"11 p.","startPage":"436","endPage":"446","costCenters":[],"links":[{"id":215141,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00539.x"},{"id":242919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"5059e2f5e4b0c8380cd45d57","contributors":{"authors":[{"text":"Hirsch, R.M.","contributorId":58639,"corporation":false,"usgs":true,"family":"Hirsch","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":448959,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70035027,"text":"70035027 - 2011 - Evaluating the effect of predators on white-tailed deer: Movement and diet of coyotes","interactions":[],"lastModifiedDate":"2017-04-06T13:43:08","indexId":"70035027","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effect of predators on white-tailed deer: Movement and diet of coyotes","docAbstract":"Coyotes (Canis latrans) may affect adult and neonate white-tailed deer (Odocoileus virginianus) survival and have been implicated as a contributor to the decline of deer populations. Additionally, coyote diet composition is influenced by prey availability, season, and region. Because coyote movement and diet vary by region, local data are important to understand coyote population dynamics and their impact on prey species. In southeast Minnesota, we investigated the effect of coyotes on white-tailed deer populations by documenting movement rates, distances moved, and habitats searched by coyotes during fawning and nonfawning periods. Additionally, we determined survival, cause-specific mortality, and seasonal diet composition of coyotes. From 2001 to 2003, we captured and radiocollared 30 coyotes. Per-hour rate of movement averaged 0.87 km and was greater (P = 0.046) during the fawning (1.07 km) than the nonfawning period (0.80 km); areas searched were similar (P = 0.175) between seasons. Coyote habitat use differed during both seasons; habitats were not used in proportion to their availability (P < 0.001). Croplands were used more (P < 0.001) than their proportional availability during both seasons. Use of grasslands was greater during the fawning period (P = 0.030), whereas use of cropland was greater in the nonfawning period (P < 0.001). We collected 66 fecal samples during the nonfawning period; coyote diets were primarily composed of Microtus spp. (65.2%), and consumption of deer was 9.1%. During the study, 19 coyotes died; annual survival rate range was 0.33–0.41, which was low compared with other studies. Consumption of deer was low and coyotes searched open areas (i.e., cropland) more than fawning areas with dense cover. These factors in addition to high coyote mortality suggested that coyote predation was not likely limiting white-tailed deer populations in southeast Minnesota.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.109","issn":"0022541X","usgsCitation":"Turner, M., Rockhill, A., Deperno, C., Jenks, J., Klaver, R., Jarding, A., Grovenburg, T., and Pollock, K.H., 2011, Evaluating the effect of predators on white-tailed deer: Movement and diet of coyotes: Journal of Wildlife Management, v. 75, no. 4, p. 905-912, https://doi.org/10.1002/jwmg.109.","productDescription":"8 p.","startPage":"905","endPage":"912","numberOfPages":"8","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215081,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.109"}],"volume":"75","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"505a0bf7e4b0c8380cd52983","contributors":{"authors":[{"text":"Turner, M.M.","contributorId":26895,"corporation":false,"usgs":true,"family":"Turner","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":448943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rockhill, A.P.","contributorId":70200,"corporation":false,"usgs":true,"family":"Rockhill","given":"A.P.","affiliations":[],"preferred":false,"id":448947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deperno, C.S.","contributorId":97870,"corporation":false,"usgs":true,"family":"Deperno","given":"C.S.","affiliations":[],"preferred":false,"id":448949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenks, J.A.","contributorId":31726,"corporation":false,"usgs":true,"family":"Jenks","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaver, R. W. 0000-0002-3263-9701","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":50267,"corporation":false,"usgs":true,"family":"Klaver","given":"R. W.","affiliations":[],"preferred":false,"id":448945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarding, A.R.","contributorId":108329,"corporation":false,"usgs":true,"family":"Jarding","given":"A.R.","affiliations":[],"preferred":false,"id":448950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grovenburg, T.W.","contributorId":78163,"corporation":false,"usgs":true,"family":"Grovenburg","given":"T.W.","affiliations":[],"preferred":false,"id":448948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":448946,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035026,"text":"70035026 - 2011 - Late Quaternary environmental change inferred from phytoliths and other soil-related proxies: Case studies from the central and southern Great Plains, USA","interactions":[],"lastModifiedDate":"2021-03-04T14:28:18.184017","indexId":"70035026","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary environmental change inferred from phytoliths and other soil-related proxies: Case studies from the central and southern Great Plains, USA","docAbstract":"This study investigates stable carbon isotopes (δ13C), opal phytolith assemblages, burnt phytoliths, microscopic charcoal and Sporormiella spores from modern soils and paleosols in Kansas and Oklahoma. Grass and dicot phytoliths in combination with δ13C are used as proxies for reconstructing the structure of grasslands and woodlands. Burnt grass phytoliths and microscopic charcoal are evaluated as proxies for reconstructing paleofire incidence. Concentrations of the fungal spore Sporormiella are used as a proxy for assessing large herbivore activity. These proxies were tested on various modern grassland communities of the central and southern Great Plains, including areas with bison, cattle, and small herbivores, and areas under different fire frequencies.
Opal phytolith assemblages and δ13C values show that before cal 11 ka, C3 grasses and woody plants predominated in areas that today are dominated by C4 grasses. The origin of the shortgrass prairie dates back to about cal 10 ka. The origin of the tallgrass prairie, however, is not clear as phytolith data show variable assemblages throughout the Holocene (mixed-grass, tallgrass, and tallgrass–woodland mosaic). Different proxies (burnt phytoliths vs. charcoal) reveal different fire frequencies, but it is apparent that microfossil evidence for fire incidence is closely related to the abundance of woody plants in the landscape.
Before cal 12 ka, soils show somewhat elevated concentration of Sporormiella, but lower concentrations than the modern high-density bison and cattle grazing areas. Throughout the Holocene, Sporormiella frequencies are low, which suggests lower large ungulate densities and perhaps high mobility.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2010.08.015","issn":"03418162","usgsCitation":"Cordova, C., Johnson, W., Mandel, R., and Palmer, M., 2011, Late Quaternary environmental change inferred from phytoliths and other soil-related proxies: Case studies from the central and southern Great Plains, USA: Catena, v. 85, no. 2, p. 87-108, https://doi.org/10.1016/j.catena.2010.08.015.","productDescription":"22 p.","startPage":"87","endPage":"108","costCenters":[],"links":[{"id":242852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","otherGeospatial":"Central and southern Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.05078125,\n 31.728167146023935\n ],\n [\n -104.94140625,\n 30.90222470517144\n ],\n [\n -103.53515625,\n 29.152161283318915\n ],\n [\n -101.689453125,\n 29.916852233070173\n ],\n [\n -97.822265625,\n 25.799891182088334\n ],\n [\n -97.20703125,\n 27.527758206861886\n ],\n [\n -93.33984375,\n 29.916852233070173\n ],\n [\n -93.955078125,\n 32.69486597787505\n ],\n [\n -94.5703125,\n 35.460669951495305\n ],\n [\n -94.74609375,\n 39.436192999314095\n ],\n [\n -95.25146484374999,\n 40.06125658140474\n ],\n [\n -102.216796875,\n 40.17887331434696\n ],\n [\n -102.3046875,\n 41.11246878918088\n ],\n [\n -109.3359375,\n 40.97989806962013\n ],\n [\n -109.16015624999999,\n 31.27855085894653\n ],\n [\n -107.9296875,\n 31.27855085894653\n ],\n [\n -107.841796875,\n 31.80289258670676\n ],\n [\n -107.05078125,\n 31.728167146023935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4526e4b0c8380cd67098","contributors":{"authors":[{"text":"Cordova, C.E.","contributorId":8303,"corporation":false,"usgs":true,"family":"Cordova","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":448939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, W.C.","contributorId":68003,"corporation":false,"usgs":true,"family":"Johnson","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":448941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandel, R.D.","contributorId":58000,"corporation":false,"usgs":true,"family":"Mandel","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":448940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmer, M.W.","contributorId":88703,"corporation":false,"usgs":true,"family":"Palmer","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":448942,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035022,"text":"70035022 - 2011 - Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA","interactions":[],"lastModifiedDate":"2021-03-02T21:03:44.203144","indexId":"70035022","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA","docAbstract":"The potential health impact of As in drinking water supply systems in the Mississippi River Valley alluvial aquifer in the state of Arkansas, USA is significant. In this context it is important to understand the occurrence, distribution and mobilization of As in the Mississippi River Valley alluvial aquifer. Application of surface complexation models (SCMs) to predict the sorption behavior of As and hydrous Fe oxides (HFO) in the laboratory has increased in the last decade. However, the application of SCMs to predict the sorption of As in natural sediments has not often been reported, and such applications are greatly constrained by the lack of site-specific model parameters. Attempts have been made to use SCMs considering a component additivity (CA) approach which accounts for relative abundances of pure phases in natural sediments, followed by the addition of SCM parameters individually for each phase. Although few reliable and internally consistent sorption databases related to HFO exist, the use of SCMs using laboratory-derived sorption databases to predict the mobility of As in natural sediments has increased. This study is an attempt to evaluate the ability of the SCMs using the geochemical code PHREEQC to predict solid phase As in the sediments of the Mississippi River Valley alluvial aquifer in Arkansas. The SCM option of the double-layer model (DLM) was simulated using ferrihydrite and goethite as sorbents quantified from chemical extractions, calculated surface-site densities, published surface properties, and published laboratory-derived sorption constants for the sorbents. The model results are satisfactory for shallow wells (10.6 m below ground surface), where the redox condition is relatively oxic or mildly suboxic. However, for the deep alluvial aquifer (21–36.6 m below ground surface) where the redox condition is suboxic to anoxic, the model results are unsatisfactory.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.01.008","issn":"08832927","usgsCitation":"Sharif, M., Davis, R., Steele, K., Kim, B., Hays, P., Kresse, T., and Fazio, J., 2011, Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA: Applied Geochemistry, v. 26, no. 4, p. 496-504, https://doi.org/10.1016/j.apgeochem.2011.01.008.","productDescription":"9 p.","startPage":"496","endPage":"504","costCenters":[],"links":[{"id":243316,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215506,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.01.008"}],"country":"United States","state":"Arkansas","county":"Jefferson","otherGeospatial":"Mississippi River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.3345947265625,\n 33.85673152928873\n ],\n [\n -91.2689208984375,\n 33.85673152928873\n ],\n [\n -91.2689208984375,\n 34.59704151614417\n ],\n [\n -92.3345947265625,\n 34.59704151614417\n ],\n [\n -92.3345947265625,\n 33.85673152928873\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9f9ce4b08c986b31e6ee","contributors":{"authors":[{"text":"Sharif, M.S.U.","contributorId":7102,"corporation":false,"usgs":true,"family":"Sharif","given":"M.S.U.","email":"","affiliations":[],"preferred":false,"id":448916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, R.K.","contributorId":85307,"corporation":false,"usgs":true,"family":"Davis","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":448920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, K.F.","contributorId":50270,"corporation":false,"usgs":true,"family":"Steele","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":448917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, B.","contributorId":93173,"corporation":false,"usgs":true,"family":"Kim","given":"B.","email":"","affiliations":[],"preferred":false,"id":448921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hays, P.D.","contributorId":64682,"corporation":false,"usgs":true,"family":"Hays","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":448919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kresse, T.M.","contributorId":107019,"corporation":false,"usgs":true,"family":"Kresse","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":448922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fazio, J.A.","contributorId":63135,"corporation":false,"usgs":true,"family":"Fazio","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448918,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70034994,"text":"70034994 - 2011 - Transient changes in shallow groundwater chemistry during the MSU ZERT CO2 injection experiment","interactions":[],"lastModifiedDate":"2021-03-08T17:38:55.752959","indexId":"70034994","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Transient changes in shallow groundwater chemistry during the MSU ZERT CO2 injection experiment","docAbstract":"Food-grade CO2 was injected into a shallow aquifer through a perforated pipe placed horizontally 1–2 m below the water table at the Montana State University Zero Emission Research and Technology (MSU-ZERT) field site at Bozeman, Montana. The possible impact of elevated CO2 levels on groundwater quality was investigated by analyzing 80 water samples taken before, during, and following CO2 injection. Field determinations and laboratory analyses showed rapid and systematic changes in pH, alkalinity, and conductance, as well as increases in the aqueous concentrations of trace element species. The geochemical data were first evaluated using principal component analysis (PCA) in order to identify correlations between aqueous species. The PCA findings were then used in formulating a geochemical model to simulate the processes likely to be responsible for the observed increases in the concentrations of dissolved constituents. Modeling was conducted taking into account aqueous and surface complexation, cation exchange, and mineral precipitation and dissolution. Reasonable matches between measured data and model results suggest that: (1) CO2 dissolution in the groundwater causes calcite to dissolve. (2) Observed increases in the concentration of dissolved trace metals result likely from Ca+2-driven ion exchange with clays (smectites) and sorption/desorption reactions likely involving Fe (hydr)oxides. (3) Bicarbonate from CO2 dissolution appears to compete for sorption with anionic species such as HAsO4−2, potentially increasing dissolved As levels in groundwater.
The Midwest Geological Sequestration Consortium is conducting a large-scale carbon capture and storage (CCS) project in Decatur, Illinois, USA to demonstrate the ability of a deep saline formation to store one million tonnes of carbon dioxide (CO2) from an ethanol facility. Beginning in early 2011, CO2 will be injected at a rate of 1,000 tonnes/day for three years into the Mount Simon Sandstone at a depth of approximately 2,100 meters.
An extensive Monitoring, Verification, and Accounting (MVA) program has been undertaken for the Illinois Basin Decatur Project (IBDP) and is focused on the 0.65 km2 project site. Goals include establishing baseline conditions to evaluate potential impacts from CO2 injection, demonstrating that project activities are protective of human health and the environment, and providing an accurate accounting of stored CO2. MVA efforts are being conducted pre-, during, and post- CO2 injection. Soil and net CO2 flux monitoring has been conducted for more than one year to characterize near-surface CO2 conditions. More than 2,200 soil CO2 flux measurements have been manually collected from a network of 118 soil rings since June 2009. Three ring types have been evaluated to determine which type may be the most effective in detecting potential CO2 leakage. Bare soil, shallow-depth rings were driven 8 cm into the ground and were prepared to minimize surface vegetation in and near the rings. Bare soil, deep-depth rings were prepared similarly, but were driven 46 cm. Natural-vegetation, shallow-depth rings were driven 8 cm and are most representative of typical vegetation conditions. Bare-soil, shallow-depth rings had the smallest observed mean flux (1.78 μmol m−2 s−1) versus natural-vegetation, shallow-depth rings (3.38 μmol m−2 s−1). Current data suggest bare ring types would be more sensitive to small CO2 leak signatures than natural ring types because of higher signal to noise ratios.
An eddy covariance (EC) system has been in use since June 2009. Baseline data from EC monitoring is being used to characterize pre-injection conditions, and may then be used to detect changes in net exchange CO2 fluxes (Fc) that could be the result of CO2 leakage into the near-surface environment during or following injection. When injection at IBDP begins, soil and net CO2 monitoring efforts will have established a baseline of near-surface conditions that will be important to help demonstrate the effectiveness of storage activities.
","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"September19-23, 2010","conferenceLocation":"Amsterdam","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.251","issn":"18766102","usgsCitation":"Locke, R., Krapac, I., Lewicki, J., and Curtis-Robinson, E., 2011, Characterizing near-surface CO2 conditions before injection - Perspectives from a CCS project in the Illinois Basin, USA, in Energy Procedia, v. 4, Amsterdam, September19-23, 2010, p. 3306-3313, https://doi.org/10.1016/j.egypro.2011.02.251.","productDescription":"8 p.","startPage":"3306","endPage":"3313","numberOfPages":"8","costCenters":[],"links":[{"id":475058,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.251","text":"Publisher Index Page"},{"id":243315,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215505,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.251"}],"country":"United States","state":"Illinois","city":"Decatur","otherGeospatial":"Illinois Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.384765625,\n 39.46588451142044\n ],\n [\n -88.5113525390625,\n 39.46588451142044\n ],\n [\n -88.5113525390625,\n 40.1452892956766\n ],\n [\n -89.384765625,\n 40.1452892956766\n ],\n [\n -89.384765625,\n 39.46588451142044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f500e4b0c8380cd4c02d","contributors":{"authors":[{"text":"Locke, R.A. II","contributorId":92508,"corporation":false,"usgs":true,"family":"Locke","given":"R.A.","suffix":"II","email":"","affiliations":[],"preferred":false,"id":448745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krapac, I.G.","contributorId":33850,"corporation":false,"usgs":true,"family":"Krapac","given":"I.G.","email":"","affiliations":[],"preferred":false,"id":448742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewicki, J.L.","contributorId":85760,"corporation":false,"usgs":true,"family":"Lewicki","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":448744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curtis-Robinson, E.","contributorId":47602,"corporation":false,"usgs":true,"family":"Curtis-Robinson","given":"E.","email":"","affiliations":[],"preferred":false,"id":448743,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034962,"text":"70034962 - 2011 - Micropaleontologic record of Quaternary paleoenvironments in the Central Albemarle Embayment, North Carolina, U.S.A.","interactions":[],"lastModifiedDate":"2021-03-03T20:51:31.213254","indexId":"70034962","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Micropaleontologic record of Quaternary paleoenvironments in the Central Albemarle Embayment, North Carolina, U.S.A.","docAbstract":"To understand the temporal and spatial variation of eustatic sea-level fluctuations, glacio–hydro–isostacy, tectonics, subsidence, geologic environments and sedimentation patterns for the Quaternary of a passive continental margin, a nearly complete stratigraphic record that is fully integrated with a three dimensional chronostratigraphic framework, and paleoenvironmental information are necessary. The Albemarle Embayment, a Cenozoic regional depositional basin in eastern North Carolina located on the southeast Atlantic coast of the USA, is an ideal setting to unravel these dynamic, interrelated processes.
Micropaleontological data, coupled with sedimentologic, chronostratigraphic and seismic data provide the bases for detailed interpretations of paleoenvironmental evolution and paleoclimates in the 90 m thick Quaternary record of the Albemarle Embayment. The data presented here come from a transect of cores drilled through a barrier island complex in the central Albemarle Embayment. This area sits in a ramp-like setting between late Pleistocene incised valleys.
The data document the episodic infilling of the Albemarle Embayment throughout the Quaternary as a series of transgressive–regressive (T–R) cycles, characterized by inner shelf, midshelf, and shoreface assemblages, that overlie remnants of fluvial to estuarine valley-fill. Barrier island and marginal marine deposits have a low preservation potential. Inner to mid-shelf deposits of the early Pleistocene are overlain by similar middle Pleistocene shelf sediments in the south of the study area but entirely by inner shelf deposits in the north. Late Pleistocene marine sediments are of inner shelf origin and Holocene deposits are marginal marine in nature. Pleistocene marine sediments are incised, particularly in the northern half of the embayment by lowstand paleovalleys, partly filled by fluvial/floodplain deposits and in some cases, overlain by remnants of transgressive estuarine sediments. The shallowing through time of Quaternary sediments reflects the eastward progradational geometry of the continental shelf.
The preservation potential of marginal marine deposits (barrier island, shoreface, backbarrier deposits) is not high, except in topographic lows associated with late Pleistocene paleovalleys and inlets because the current interglacial highstand has not yet reached its highest level. Given the documented increase in rate of relative sea-level rise in this region, shallow marine conditions are likely to return to the central Albemarle Embayment in the near future.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.palaeo.2011.03.004","issn":"00310182","usgsCitation":"Culver, S., Farrell, K.M., Mallinson, D., Willard, D.A., Horton, B.P., Riggs, S., Thieler, E.R., Wehmiller, J.F., Parham, P., Snyder, S.W., and Hillier, C., 2011, Micropaleontologic record of Quaternary paleoenvironments in the Central Albemarle Embayment, North Carolina, U.S.A.: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 305, no. 1-4, p. 227-249, https://doi.org/10.1016/j.palaeo.2011.03.004.","productDescription":"23 p.","startPage":"227","endPage":"249","additionalOnlineFiles":"N","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":243809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215972,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.03.004"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.462890625,\n 35.02999636902566\n ],\n [\n -82.96875,\n 35.10193405724606\n ],\n [\n -81.5625,\n 35.17380831799959\n ],\n [\n -80.947265625,\n 35.10193405724606\n ],\n [\n -79.89257812499999,\n 34.95799531086792\n ],\n [\n -78.31054687499999,\n 33.578014746143985\n ],\n [\n -75.05859375,\n 36.10237644873644\n ],\n [\n -76.025390625,\n 36.59788913307022\n ],\n [\n -81.650390625,\n 36.4566360115962\n ],\n [\n -82.96875,\n 35.88905007936091\n ],\n [\n -84.19921875,\n 35.53222622770337\n ],\n [\n -84.462890625,\n 35.02999636902566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"305","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a568de4b0c8380cd6d684","contributors":{"authors":[{"text":"Culver, Stephen J.","contributorId":79331,"corporation":false,"usgs":true,"family":"Culver","given":"Stephen J.","affiliations":[],"preferred":false,"id":448607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, Kathleen M.","contributorId":64476,"corporation":false,"usgs":true,"family":"Farrell","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":448605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, David J.","contributorId":74222,"corporation":false,"usgs":true,"family":"Mallinson","given":"David J.","affiliations":[],"preferred":false,"id":448606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":448599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Benjamin P.","contributorId":63641,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":448604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riggs, Stanley R.","contributorId":25983,"corporation":false,"usgs":true,"family":"Riggs","given":"Stanley R.","affiliations":[],"preferred":false,"id":448601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":448600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wehmiller, John F.","contributorId":42220,"corporation":false,"usgs":true,"family":"Wehmiller","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":448602,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parham, Peter","contributorId":102294,"corporation":false,"usgs":true,"family":"Parham","given":"Peter","email":"","affiliations":[],"preferred":false,"id":448609,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Snyder, Scott W.","contributorId":101109,"corporation":false,"usgs":true,"family":"Snyder","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":448608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hillier, Caroline","contributorId":47193,"corporation":false,"usgs":true,"family":"Hillier","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":448603,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70034939,"text":"70034939 - 2011 - Meeting CCS communication challenges head-on: Integrating communications, planning, risk assessment, and project management","interactions":[],"lastModifiedDate":"2021-03-08T18:56:51.60691","indexId":"70034939","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Meeting CCS communication challenges head-on: Integrating communications, planning, risk assessment, and project management","docAbstract":"The Midwest Geological Sequestration Consortium, Schlumberger Carbon Services, and Archer Daniels Midland has implemented a comprehensive communications plan at the Illinois Basin–Decatur Project (IBDP), a one million metric tonne Carbon Capture and Storage project in Decatur, IL, USA funded by the U.S. Department of Energy’s National Energy Technology Laboratory. The IBDP Communication Plan includes consortium information, funding and disclaimer citations, description of target audiences, media communications guidelines, paper and presentations guidelines, site visit information, crisis communication, on-site photography regulations, and other components. The creation, development, and implementation processes for the IBDP Communication Plan (the Plan) are shared in this paper. New communications challenges, such as how to address add-on research requests, data sharing and management, scope increase, and contract agreements have arisen since the Plan was completed in January 2009, resulting in development of new policies and procedures by project management. Integrating communications planning, risk assessment, and project management ensured that consistent, factual information was developed and incorporated into project planning, and constitutes the basis of public communications. Successful integration has allowed the IBDP to benefit from early identification and mitigation of the potential project risks, which allows more time to effectively deal with unknown and unidentified risks that may arise. Project risks and risks associated with public perception can be managed through careful planning and integration of communication strategies into project management and risk mitigation.
","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"September 19- 23, 2010","conferenceLocation":"Amsterdam","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.630","issn":"18766102","usgsCitation":"Greenberg, S., Gauvreau, L., Hnottavange-Telleen, K., Finley, R., and Marsteller, S., 2011, Meeting CCS communication challenges head-on: Integrating communications, planning, risk assessment, and project management, in Energy Procedia, v. 4, Amsterdam, September 19- 23, 2010, p. 6188-6193, https://doi.org/10.1016/j.egypro.2011.02.630.","productDescription":"6 p.","startPage":"6188","endPage":"6193","costCenters":[],"links":[{"id":475443,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.630","text":"Publisher Index Page"},{"id":243870,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216031,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.630"}],"country":"United States","state":"Illinois","city":"Decatur","otherGeospatial":"Illinois Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.384765625,\n 39.46588451142044\n ],\n [\n -88.5113525390625,\n 39.46588451142044\n ],\n [\n -88.5113525390625,\n 40.1452892956766\n ],\n [\n -89.384765625,\n 40.1452892956766\n ],\n [\n -89.384765625,\n 39.46588451142044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5382e4b0c8380cd6cb1e","contributors":{"authors":[{"text":"Greenberg, S.","contributorId":79925,"corporation":false,"usgs":true,"family":"Greenberg","given":"S.","email":"","affiliations":[],"preferred":false,"id":448419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gauvreau, L.","contributorId":77385,"corporation":false,"usgs":true,"family":"Gauvreau","given":"L.","email":"","affiliations":[],"preferred":false,"id":448417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hnottavange-Telleen, K.","contributorId":79324,"corporation":false,"usgs":true,"family":"Hnottavange-Telleen","given":"K.","email":"","affiliations":[],"preferred":false,"id":448418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finley, R.","contributorId":87779,"corporation":false,"usgs":true,"family":"Finley","given":"R.","affiliations":[],"preferred":false,"id":448420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marsteller, S.","contributorId":27288,"corporation":false,"usgs":true,"family":"Marsteller","given":"S.","email":"","affiliations":[],"preferred":false,"id":448416,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034937,"text":"70034937 - 2011 - Compositional diversity and geologic insights of the Aristarchus crater from Moon Mineralogy Mapper data","interactions":[],"lastModifiedDate":"2017-06-29T13:41:02","indexId":"70034937","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Compositional diversity and geologic insights of the Aristarchus crater from Moon Mineralogy Mapper data","docAbstract":"The Moon Mineralogy Mapper (M3) acquired high spatial and spectral resolution data of the Aristarchus Plateau with 140 m/pixel in 85 spectral bands from 0.43 to 3.0 m. The data were collected as radiance and converted to reflectance using the observational constraints and a solar spectrum scaled to the Moon-Sun distance. Summary spectral parameters for the area of mafic silicate 1 and 2 m bands were calculated from the M3 data and used to map the distribution of key units that were then analyzed in detail with the spectral data. This analysis focuses on five key compositional units in the region. (1) The central peaks are shown to be strongly enriched in feldspar and are likely from the upper plagioclase-rich crust of the Moon. (2) The impact melt is compositionally diverse with clear signatures of feldspathic crust, olivine, and glass. (3) The crater walls and ejecta show a high degree of spatial heterogeneity and evidence for massive breccia blocks. (4) Olivine, strongly concentrated on the rim, wall, and exterior of the southeastern quadrant of the crater, is commonly associated the impact melt. (5) There are at least two types of glass deposits observed: pyroclastic glass and impact glass. Copyright 2011 by the American Geophysical Union.","language":"English","publisher":"AGU","doi":"10.1029/2010JE003726","issn":"01480227","usgsCitation":"Mustard, J., Pieters, C., Isaacson, P., Head, J., Besse, S., Clark, R.N., Klima, R., Petro, N., Staid, M., Sunshine, J., Runyon, C., and Tompkins, S., 2011, Compositional diversity and geologic insights of the Aristarchus crater from Moon Mineralogy Mapper data: Journal of Geophysical Research E: Planets, v. 116, no. 5, Article E00G12; 17 p., https://doi.org/10.1029/2010JE003726.","productDescription":"Article E00G12; 17 p.","ipdsId":"IP-024467","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475441,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003726","text":"Publisher Index Page"},{"id":243837,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215998,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003726"}],"volume":"116","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"5059f936e4b0c8380cd4d4d4","contributors":{"authors":[{"text":"Mustard, J.F.","contributorId":91605,"corporation":false,"usgs":true,"family":"Mustard","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":448410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":448403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isaacson, P.J.","contributorId":63236,"corporation":false,"usgs":true,"family":"Isaacson","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":448405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Head, J.W.","contributorId":67982,"corporation":false,"usgs":true,"family":"Head","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":448406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Besse, S.","contributorId":79330,"corporation":false,"usgs":true,"family":"Besse","given":"S.","email":"","affiliations":[],"preferred":false,"id":448409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":448399,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klima, R.L.","contributorId":29238,"corporation":false,"usgs":true,"family":"Klima","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":448402,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Petro, N.E.","contributorId":18999,"corporation":false,"usgs":true,"family":"Petro","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":448400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staid, M.I.","contributorId":76505,"corporation":false,"usgs":true,"family":"Staid","given":"M.I.","email":"","affiliations":[],"preferred":false,"id":448408,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sunshine, J.M.","contributorId":74591,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":448407,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Runyon, C.J.","contributorId":19398,"corporation":false,"usgs":true,"family":"Runyon","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":448401,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tompkins, S.","contributorId":51123,"corporation":false,"usgs":true,"family":"Tompkins","given":"S.","email":"","affiliations":[],"preferred":false,"id":448404,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70034936,"text":"70034936 - 2011 - Seasonal distribution of Gulf of Mexico sturgeon in the pensacola bay system, Florida","interactions":[],"lastModifiedDate":"2021-03-04T12:50:47.509992","indexId":"70034936","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal distribution of Gulf of Mexico sturgeon in the pensacola bay system, Florida","docAbstract":"Temporal and spatial distributions of Gulf of Mexico (Gulf) sturgeon Acipenser oxyrinchus desotoi were assessed in the Pensacola bay system, Florida, using stationary ultrasonic telemetry. Fifty‐eight Gulf sturgeon were tagged within the Escambia (n = 26), Yellow (n = 8), Blackwater (n = 12) and Choctawhatchee Rivers (n = 12) in June, July, September and October, 2005. Fifty‐four Gulf sturgeon were detected at least once during the study. Migration of sturgeon occurred throughout the bay system in fall, to various winter habitats in the Gulf of Mexico and Santa Rosa Sound. In spring, tagged sturgeon migrated back through the bay system to summer habitats in rivers. Based on the duration and number of detections, Gulf sturgeon primarily used the upper portions of East and Escambia Bays as migration routes in and out of all rivers during spring and summer and inhabited the lower portion of Pensacola Bay for longer durations in fall and winter. Specific areas within the Pensacola bay system were used in summer and winter that were not previously documented as essential sturgeon habitat. Areas in southeastern Pensacola Bay were heavily used during winter by a large portion of the population. Gulf sturgeon also exhibited long‐term winter residency in Santa Rosa Sound for two consecutive years. An area in northeastern Escambia Bay supported Gulf sturgeon during the summer, which was unexpected and can not be explained by the data from this study. However, the discovery that Gulf sturgeon remain in the bay during the summer has important ecological and management implications that need further investigation.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2011.01724.x","issn":"01758659","usgsCitation":"Duncan, M., Wrege, B., Parauka, F.M., and Isely, J.J., 2011, Seasonal distribution of Gulf of Mexico sturgeon in the pensacola bay system, Florida: Journal of Applied Ichthyology, v. 27, no. 2, p. 316-321, https://doi.org/10.1111/j.1439-0426.2011.01724.x.","productDescription":"6 p.","startPage":"316","endPage":"321","costCenters":[],"links":[{"id":475528,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2011.01724.x","text":"Publisher Index Page"},{"id":243836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Pensacola Bay system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.3740234375,\n 27.508271413876017\n ],\n [\n -84.88037109375,\n 27.508271413876017\n ],\n [\n -84.88037109375,\n 30.80791068136646\n ],\n [\n -88.3740234375,\n 30.80791068136646\n ],\n [\n -88.3740234375,\n 27.508271413876017\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505b8894e4b08c986b316a40","contributors":{"authors":[{"text":"Duncan, M.S.","contributorId":99750,"corporation":false,"usgs":true,"family":"Duncan","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":448397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wrege, B.M.","contributorId":100405,"corporation":false,"usgs":true,"family":"Wrege","given":"B.M.","affiliations":[],"preferred":false,"id":448398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parauka, Frank M.","contributorId":47115,"corporation":false,"usgs":true,"family":"Parauka","given":"Frank","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":448395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":448396,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034934,"text":"70034934 - 2011 - Study design and sampling intensity for demographic analyses of bear populations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:42","indexId":"70034934","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Study design and sampling intensity for demographic analyses of bear populations","docAbstract":"The rate of population change through time (??) is a fundamental element of a wildlife population's conservation status, yet estimating it with acceptable precision for bears is difficult. For studies that follow known (usually marked) bears, ?? can be estimated during some defined time by applying either life-table or matrix projection methods to estimates of individual vital rates. Usually however, confidence intervals surrounding the estimate are broader than one would like. Using an estimator suggested by Doak et al. (2005), we explored the precision to be expected in ?? from demographic analyses of typical grizzly (Ursus arctos) and American black (U. americanus) bear data sets. We also evaluated some trade-offs among vital rates in sampling strategies. Confidence intervals around ?? were more sensitive to adding to the duration of a short (e.g., 3 yrs) than a long (e.g., 10 yrs) study, and more sensitive to adding additional bears to studies with small (e.g., 10 adult females/yr) than large (e.g., 30 adult females/yr) sample sizes. Confidence intervals of ?? projected using process-only variance of vital rates were only slightly smaller than those projected using total variances of vital rates. Under sampling constraints typical of most bear studies, it may be more efficient to invest additional resources into monitoring recruitment and juvenile survival rates of females already a part of the study, than to simply increase the sample size of study females. ?? 2011 International Association for Bear Research and Management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2192/URSUS-D-10-00028.1","issn":"15376176","usgsCitation":"Harris, R., Schwartz, C., Mace, R., and Haroldson, M., 2011, Study design and sampling intensity for demographic analyses of bear populations: Ursus, v. 22, no. 1, p. 24-36, https://doi.org/10.2192/URSUS-D-10-00028.1.","startPage":"24","endPage":"36","numberOfPages":"13","costCenters":[],"links":[{"id":215970,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-10-00028.1"},{"id":243807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ccde4b08c986b31d4c6","contributors":{"authors":[{"text":"Harris, R.B.","contributorId":102271,"corporation":false,"usgs":true,"family":"Harris","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":448388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, C.C.","contributorId":33658,"corporation":false,"usgs":true,"family":"Schwartz","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":448387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mace, R.D.","contributorId":103881,"corporation":false,"usgs":true,"family":"Mace","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":448389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, M.A. 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":108047,"corporation":false,"usgs":true,"family":"Haroldson","given":"M.A.","affiliations":[],"preferred":false,"id":448390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034932,"text":"70034932 - 2011 - Enhancement of long period components of recorded and synthetic ground motions using InSAR","interactions":[],"lastModifiedDate":"2021-03-08T19:45:19.604672","indexId":"70034932","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Enhancement of long period components of recorded and synthetic ground motions using InSAR","docAbstract":"Tall buildings and flexible structures require a better characterization of long period ground motion spectra than the one provided by current seismic building codes. Motivated by that, a methodology is proposed and tested to improve recorded and synthetic ground motions which are consistent with the observed co-seismic displacement field obtained from interferometric synthetic aperture radar (InSAR) analysis of image data for the Tocopilla 2007 earthquake (Mw=7.7) in Northern Chile. A methodology is proposed to correct the observed motions such that, after double integration, they are coherent with the local value of the residual displacement. Synthetic records are generated by using a stochastic finite-fault model coupled with a long period pulse to capture the long period fling effect.
It is observed that the proposed co-seismic correction yields records with more accurate long-period spectral components as compared with regular correction schemes such as acausal filtering. These signals provide an estimate for the velocity and displacement spectra, which are essential for tall-building design. Furthermore, hints are provided as to the shape of long-period spectra for seismic zones prone to large co-seismic displacements such as the Nazca-South American zone.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2011.01.005","issn":"02677261","usgsCitation":"Abell, J., Carlos de la Llera, J., and Wicks, C.W., 2011, Enhancement of long period components of recorded and synthetic ground motions using InSAR: Soil Dynamics and Earthquake Engineering, v. 31, no. 5-6, p. 817-829, https://doi.org/10.1016/j.soildyn.2011.01.005.","productDescription":"13 p.","startPage":"817","endPage":"829","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489010,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3298447","text":"External Repository"},{"id":243776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215939,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soildyn.2011.01.005"}],"country":"Chile","otherGeospatial":"Tocopilla","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.224365234375,\n -24.226928664976363\n ],\n [\n -68.631591796875,\n -24.226928664976363\n ],\n [\n -68.631591796875,\n -20.910134481692673\n ],\n [\n -71.224365234375,\n -20.910134481692673\n ],\n [\n -71.224365234375,\n -24.226928664976363\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"5-6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0973e4b0c8380cd51f0a","contributors":{"authors":[{"text":"Abell, J.A.","contributorId":30068,"corporation":false,"usgs":true,"family":"Abell","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlos de la Llera, J.","contributorId":94521,"corporation":false,"usgs":true,"family":"Carlos de la Llera","given":"J.","email":"","affiliations":[],"preferred":false,"id":448385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wicks, Charles W. Jr. 0000-0002-0809-1328 cwicks@usgs.gov","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":127701,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","email":"cwicks@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":448383,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034905,"text":"70034905 - 2011 - Multiscale site-response mapping: A case study of Parkfield, California","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034905","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale site-response mapping: A case study of Parkfield, California","docAbstract":"The scale of previously proposed methods for mapping site-response ranges from global coverage down to individual urban regions. Typically, spatial coverage and accuracy are inversely related.We use the densely spaced strong-motion stations in Parkfield, California, to estimate the accuracy of different site-response mapping methods and demonstrate a method for integrating multiple site-response estimates from the site to the global scale. This method is simply a weighted mean of a suite of different estimates, where the weights are the inverse of the variance of the individual estimates. Thus, the dominant site-response model varies in space as a function of the accuracy of the different models. For mapping applications, site-response models should be judged in terms of both spatial coverage and the degree of correlation with observed amplifications. Performance varies with period, but in general the Parkfield data show that: (1) where a velocity profile is available, the square-rootof- impedance (SRI) method outperforms the measured VS30 (30 m divided by the S-wave travel time to 30 m depth) and (2) where velocity profiles are unavailable, the topographic slope method outperforms surficial geology for short periods, but geology outperforms slope at longer periods. We develop new equations to estimate site response from topographic slope, derived from the Next Generation Attenuation (NGA) database.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120100211","issn":"00371106","usgsCitation":"Thompson, E., Baise, L., Kayen, R.E., Morgan, E., and Kaklamanos, J., 2011, Multiscale site-response mapping: A case study of Parkfield, California: Bulletin of the Seismological Society of America, v. 101, no. 3, p. 1081-1100, https://doi.org/10.1785/0120100211.","startPage":"1081","endPage":"1100","numberOfPages":"20","costCenters":[],"links":[{"id":216028,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100211"},{"id":243867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-05-29","publicationStatus":"PW","scienceBaseUri":"505a609ce4b0c8380cd71597","contributors":{"authors":[{"text":"Thompson, E.M.","contributorId":104688,"corporation":false,"usgs":true,"family":"Thompson","given":"E.M.","affiliations":[],"preferred":false,"id":448256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baise, L.G.","contributorId":6239,"corporation":false,"usgs":true,"family":"Baise","given":"L.G.","affiliations":[],"preferred":false,"id":448252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, R. E.","contributorId":14424,"corporation":false,"usgs":true,"family":"Kayen","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":448253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, E.C.","contributorId":66509,"corporation":false,"usgs":true,"family":"Morgan","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":448255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaklamanos, J.","contributorId":38383,"corporation":false,"usgs":true,"family":"Kaklamanos","given":"J.","affiliations":[],"preferred":false,"id":448254,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034904,"text":"70034904 - 2011 - Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","interactions":[],"lastModifiedDate":"2021-03-08T21:03:51.911092","indexId":"70034904","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty","docAbstract":"The broad physical and biological principles behind climate change and its potential large scale ecological impacts on biota are fairly well understood, although likely responses of biotic communities at fine spatio-temporal scales are not, limiting the ability of conservation programs to respond effectively to climate change outside the range of human experience. Much of the climate debate has focused on attempts to resolve key uncertainties in a hypothesis-testing framework. However, conservation decisions cannot await resolution of these scientific issues and instead must proceed in the face of uncertainty. We suggest that conservation should precede in an adaptive management framework, in which decisions are guided by predictions under multiple, plausible hypotheses about climate impacts. Under this plan, monitoring is used to evaluate the response of the system to climate drivers, and management actions (perhaps experimental) are used to confront testable predictions with data, in turn providing feedback for future decision making. We illustrate these principles with the problem of mitigating the effects of climate change on terrestrial bird communities in the southern Appalachian Mountains, USA.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.10.019","issn":"00063207","usgsCitation":"Conroy, M., Runge, M.C., Nichols, J.D., Stodola, K., and Cooper, R., 2011, Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty: Biological Conservation, v. 144, no. 4, p. 1204-1213, https://doi.org/10.1016/j.biocon.2010.10.019.","productDescription":"10 p.","startPage":"1204","endPage":"1213","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":243835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215996,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.10.019"}],"country":"United States","otherGeospatial":"Southern Appalachian Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.4296875,\n 35.02999636902566\n ],\n [\n -82.96875,\n 33.211116472416855\n ],\n [\n -75.76171875,\n 41.31082388091818\n ],\n [\n -75.146484375,\n 42.87596410238256\n ],\n [\n -78.662109375,\n 43.068887774169625\n ],\n [\n -83.84765625,\n 37.37015718405753\n ],\n [\n -85.4296875,\n 35.02999636902566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f9dde4b0c8380cd4d815","contributors":{"authors":[{"text":"Conroy, M.J.","contributorId":84690,"corporation":false,"usgs":true,"family":"Conroy","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":448250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":448247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stodola, K.W.","contributorId":19804,"corporation":false,"usgs":true,"family":"Stodola","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":448248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, R.J.","contributorId":89077,"corporation":false,"usgs":true,"family":"Cooper","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":448251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034900,"text":"70034900 - 2011 - The key to commercial-scale geological CO2 sequestration: Displaced fluid management","interactions":[],"lastModifiedDate":"2021-03-09T13:07:34.019328","indexId":"70034900","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"title":"The key to commercial-scale geological CO2 sequestration: Displaced fluid management","docAbstract":"The Wyoming State Geological Survey has completed a thorough inventory and prioritization of all Wyoming stratigraphic units and geologic sites capable of sequestering commercial quantities of CO2 (5–15 Mt CO2/year). This multi-year study identified the Paleozoic Tensleep/Weber Sandstone and Madison Limestone (and stratigraphic equivalent units) as the leading clastic and carbonate reservoir candidates for commercial-scale geological CO2 sequestration in Wyoming. This conclusion was based on unit thickness, overlying low permeability lithofacies, reservoir storage and continuity properties, regional distribution patterns, formation fluid chemistry characteristics, and preliminary fluid-flow modeling. This study also identified the Rock Springs Uplift in southwestern Wyoming as the most promising geological CO2 sequestration site in Wyoming and probably in any Rocky Mountain basin.
The results of the WSGS CO2 geological sequestration inventory led the agency and colleagues at the UW School of Energy Resources Carbon Management Institute (CMI) to collect available geologic, petrophysical, geochemical, and geophysical data on the Rock Springs Uplift, and to build a regional 3-D geologic framework model of the Uplift. From the results of these tasks and using the FutureGen protocol, the WSGS showed that on the Rock Springs Uplift, the Weber Sandstone has sufficient pore space to sequester 18 billion tons (Gt) of CO2, and the Madison Limestone has sufficient pore space to sequester 8 Gt of CO2.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.373","issn":"18766102","usgsCitation":"Surdam, R., Jiao, Z., Stauffer, P., and Miller, T., 2011, The key to commercial-scale geological CO2 sequestration: Displaced fluid management: Energy Procedia, v. 4, p. 4246-4251, https://doi.org/10.1016/j.egypro.2011.02.373.","productDescription":"6 p.","startPage":"4246","endPage":"4251","costCenters":[],"links":[{"id":475230,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.373","text":"Publisher Index Page"},{"id":243774,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad73e4b08c986b323c03","contributors":{"authors":[{"text":"Surdam, R.C.","contributorId":40029,"corporation":false,"usgs":true,"family":"Surdam","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":448234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiao, Z.","contributorId":25373,"corporation":false,"usgs":true,"family":"Jiao","given":"Z.","email":"","affiliations":[],"preferred":false,"id":448233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauffer, P.","contributorId":20505,"corporation":false,"usgs":true,"family":"Stauffer","given":"P.","email":"","affiliations":[],"preferred":false,"id":448232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, T.","contributorId":92749,"corporation":false,"usgs":true,"family":"Miller","given":"T.","affiliations":[],"preferred":false,"id":448235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034874,"text":"70034874 - 2011 - Multinomial mixture model with heterogeneous classification probabilities","interactions":[],"lastModifiedDate":"2021-03-09T18:38:56.901936","indexId":"70034874","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Multinomial mixture model with heterogeneous classification probabilities","docAbstract":"Royle and Link (Ecology 86(9):2505–2512, 2005) proposed an analytical method that allowed estimation of multinomial distribution parameters and classification probabilities from categorical data measured with error. While useful, we demonstrate algebraically and by simulations that this method yields biased multinomial parameter estimates when the probabilities of correct category classifications vary among sampling units. We address this shortcoming by treating these probabilities as logit-normal random variables within a Bayesian framework. We use Markov chain Monte Carlo to compute Bayes estimates from a simulated sample from the posterior distribution. Based on simulations, this elaborated Royle-Link model yields nearly unbiased estimates of multinomial and correct classification probability estimates when classification probabilities are allowed to vary according to the normal distribution on the logit scale or according to the Beta distribution. The method is illustrated using categorical submersed aquatic vegetation data.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10651-009-0131-2","issn":"13528505","usgsCitation":"Holland, M., and Gray, B.R., 2011, Multinomial mixture model with heterogeneous classification probabilities: Environmental and Ecological Statistics, v. 18, no. 2, p. 257-270, https://doi.org/10.1007/s10651-009-0131-2.","productDescription":"14 p.","startPage":"257","endPage":"270","costCenters":[],"links":[{"id":243866,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216027,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10651-009-0131-2"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-01-28","publicationStatus":"PW","scienceBaseUri":"505a6033e4b0c8380cd71370","contributors":{"authors":[{"text":"Holland, M.D.","contributorId":90956,"corporation":false,"usgs":true,"family":"Holland","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":448103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":448102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034872,"text":"70034872 - 2011 - Retesting of liquefaction and nonliquefaction case histories from the 1976 Tangshan earthquake","interactions":[],"lastModifiedDate":"2021-03-09T19:06:13.087255","indexId":"70034872","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Retesting of liquefaction and nonliquefaction case histories from the 1976 Tangshan earthquake","docAbstract":"A field investigation was performed to retest liquefaction and nonliquefaction sites from the 1976 Tangshan earthquake in China. These sites were carefully investigated in 1978 and 1979 by using standard penetration test (SPT) and cone penetration test (CPT) equipment; however, the CPT measurements are obsolete because of the now nonstandard cone that was used at the time. In 2007, a modern cone was mobilized to retest 18 selected sites that are particularly important because of the intense ground shaking they sustained despite their high fines content and/or because the site did not liquefy. Of the sites reinvestigated and carefully reprocessed, 13 were considered accurate representative case histories. Two of the sites that were originally investigated for liquefaction have been reinvestigated for cyclic failure of fine-grained soil and removed from consideration for liquefaction triggering. The most important outcome of these field investigations was the collection of more accurate data for three nonliquefaction sites that experienced intense ground shaking. Data for these three case histories is now included in an area of the liquefaction triggering database that was poorly populated and will help constrain the upper bound of future liquefaction triggering curves.
","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)GT.1943-5606.0000406","issn":"10900241","usgsCitation":"Moss, R., Kayen, R.E., Tong, L., Liu, S., Cai, G., and Wu, J., 2011, Retesting of liquefaction and nonliquefaction case histories from the 1976 Tangshan earthquake: Journal of Geotechnical and Geoenvironmental Engineering, v. 137, no. 4, p. 334-343, https://doi.org/10.1061/(ASCE)GT.1943-5606.0000406.","productDescription":"10 p.","startPage":"334","endPage":"343","costCenters":[],"links":[{"id":501077,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.calpoly.edu/cenv_fac/215","text":"External Repository"},{"id":243864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216025,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)GT.1943-5606.0000406"}],"country":"China","otherGeospatial":"Tangshan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 116.19140625,\n 38.788345355085625\n ],\n [\n 119.94873046875,\n 38.788345355085625\n ],\n [\n 119.94873046875,\n 41.36031866306708\n ],\n [\n 116.19140625,\n 41.36031866306708\n ],\n [\n 116.19140625,\n 38.788345355085625\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"137","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aac17e4b0c8380cd86b4a","contributors":{"authors":[{"text":"Moss, R.E.S.","contributorId":71362,"corporation":false,"usgs":true,"family":"Moss","given":"R.E.S.","email":"","affiliations":[],"preferred":false,"id":448099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayen, R. E.","contributorId":14424,"corporation":false,"usgs":true,"family":"Kayen","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":448094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tong, L.-Y.","contributorId":32374,"corporation":false,"usgs":true,"family":"Tong","given":"L.-Y.","email":"","affiliations":[],"preferred":false,"id":448096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, S.-Y.","contributorId":71027,"corporation":false,"usgs":true,"family":"Liu","given":"S.-Y.","email":"","affiliations":[],"preferred":false,"id":448098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cai, G.-J.","contributorId":21784,"corporation":false,"usgs":true,"family":"Cai","given":"G.-J.","email":"","affiliations":[],"preferred":false,"id":448095,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, J.","contributorId":56998,"corporation":false,"usgs":true,"family":"Wu","given":"J.","email":"","affiliations":[],"preferred":false,"id":448097,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}