{"pageNumber":"689","pageRowStart":"17200","pageSize":"25","recordCount":46883,"records":[{"id":70157248,"text":"70157248 - 2011 - Swallows as a sentinel species for contaminant exposure and effect studies","interactions":[],"lastModifiedDate":"2021-11-09T17:36:53.636876","indexId":"70157248","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Swallows as a sentinel species for contaminant exposure and effect studies","docAbstract":"<p><span>Tree swallows are an important model species to study the effects of contaminants in wild bird populations and have been used extensively in studies across North America. The advantages of swallows compared to other avian species are detailed. Three case histories are provided where swallows have been successfully used in Natural Resource Damage and Ecological Risk Assessments. The final two sections of this chapter are for individuals who want more in-depth information and include a summary of the chemical classes for which there are swallow data, including effect levels when known. Information provided in this section can be used to put exposure to most classes of contaminants into context with other sites across North America. Finally, commonly used endpoints, ranging from population-level down to cellular and genetic endpoints, are discussed including considerations and pitfalls, and when further work is needed to more fully understand the role of environmental and biological variation in interpreting these endpoints.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife ecotoxicology: Forensic approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/978-0-387-89432-4_3","usgsCitation":"Custer, C.M., 2011, Swallows as a sentinel species for contaminant exposure and effect studies, chap. <i>of</i> Wildlife ecotoxicology: Forensic approaches, p. 45-91, https://doi.org/10.1007/978-0-387-89432-4_3.","productDescription":"47 p.","startPage":"45","endPage":"91","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015056","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":308137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2011-05-31","publicationStatus":"PW","scienceBaseUri":"55f94142e4b05d6c4e5013a9","contributors":{"editors":[{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":572406,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bishop, Christine Annette","contributorId":147717,"corporation":false,"usgs":false,"family":"Bishop","given":"Christine","email":"","middleInitial":"Annette","affiliations":[],"preferred":false,"id":572407,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Morrissey, Christy A.","contributorId":147718,"corporation":false,"usgs":false,"family":"Morrissey","given":"Christy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572408,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":572409,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034576,"text":"70034576 - 2011 - Sea surface temperatures of the mid-Piacenzian Warm Period: A comparison of PRISM3 and HadCM3","interactions":[],"lastModifiedDate":"2020-04-04T17:21:18.043634","indexId":"70034576","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":"Sea surface temperatures of the mid-Piacenzian Warm Period: A comparison of PRISM3 and HadCM3","docAbstract":"<p id=\"sp0030\">It is essential to document how well the current generation of climate models performs in simulating past climates to have confidence in their ability to project future conditions. We present the first global, in-depth comparison of Pliocene sea surface temperature (SST) estimates from a coupled ocean–atmosphere climate model experiment and a SST reconstruction based on proxy data. This enables the identification of areas in which both the climate model and the proxy dataset require improvement.</p><p id=\"sp0035\">In general, the fit between model-produced SST anomalies and those formed from the available data is very good. We focus our discussion on three regions where the data–model anomaly exceeds 2&nbsp;°C. 1) In the high latitude North Pacific, a systematic model error may result in anomalies that are too cold. Also, the deeper Pliocene thermocline may cause disagreement along the California margin; either the upwelling in the model is too strong or the modeled thermocline is not deep enough. 2) In the North Atlantic, the model predicts cooling in the center of a data-based warming trend that steadily increases with latitude from +&nbsp;1.5&nbsp;°C to &gt;+&nbsp;6&nbsp;°C. The discrepancy may arise because the modeled North Atlantic Current is too zonal compared to reality, which is reinforced by the lowering of the altitude of the Pliocene Western Cordillera Mountains. In addition, the model's use of modern bathymetry in the higher latitudes may have led the model to underestimate the northward penetration of warmer surface water into the Arctic. 3) Finally, though the data and model show good general agreement across most of the Southern Ocean, a few locations show offsets due to the modern land–sea mask used in the model.</p><p id=\"sp0040\">Additional considerations could account for many of the modest data–model anomalies, such as differences between calibration climatologies, the oversimplification of the seasonal cycle, and differences between SST proxies (i.e. seasonality and water depth). New SST estimates from data-sparse and regionally important areas will greatly enhance our ability to judge model performance.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.03.016","issn":"00310182","usgsCitation":"Dowsett, H.J., Haywood, A., Valdes, P., Robinson, M.M., Lunt, D., Hill, D., Stoll, D., and Foley, K.M., 2011, Sea surface temperatures of the mid-Piacenzian Warm Period: A comparison of PRISM3 and HadCM3: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 309, no. 1-2, p. 83-91, https://doi.org/10.1016/j.palaeo.2011.03.016.","productDescription":"9 p.","startPage":"83","endPage":"91","costCenters":[{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":475267,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nora.nerc.ac.uk/id/eprint/14869/1/Piacenzian.pdf","text":"External Repository"},{"id":243628,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"309","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b87f9e4b08c986b316753","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":446472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haywood, A.M.","contributorId":101050,"corporation":false,"usgs":true,"family":"Haywood","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":446473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valdes, P.J.","contributorId":77331,"corporation":false,"usgs":true,"family":"Valdes","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":446471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":446469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lunt, D.J.","contributorId":105127,"corporation":false,"usgs":true,"family":"Lunt","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":446475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hill, D.J.","contributorId":102291,"corporation":false,"usgs":true,"family":"Hill","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":446474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stoll, D.K.","contributorId":66088,"corporation":false,"usgs":true,"family":"Stoll","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":446470,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":446468,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70190329,"text":"70190329 - 2011 - Wave-current interaction in Willapa Bay","interactions":[],"lastModifiedDate":"2017-08-27T10:47:12","indexId":"70190329","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Wave-current interaction in Willapa Bay","docAbstract":"This paper describes the importance of wave-current interaction in an inlet-estuary system. The three-dimensional, fully coupled, Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system was applied in Willapa Bay (Washington State) from 22 to 29 October 1998 that included a large storm event. To represent the interaction between waves and currents, the vortex-force method was used. Model results were compared with water elevations, currents, and wave measurements obtained by the U.S. Army Corp of Engineers. In general, a good agreement between field data and computed results was achieved, although some discrepancies were also observed in regard to wave peak directions in the most upstream station. Several numerical experiments that considered different forcing terms were run in order to identify the effects of each wind, tide, and wave-current interaction process. Comparison of the horizontal momentum balances results identified that wave-breaking-induced acceleration is one of the leading terms in the inlet area. The enhancement of the apparent bed roughness caused by waves also affected the values and distribution of the bottom shear stress. The pressure gradient showed significant changes with respect to the pure tidal case. During storm conditions the momentum balance in the inlet shares the characteristics of tidal-dominated and wave-dominated surf zone environments. The changes in the momentum balance caused by waves were manifested both in water level and current variations. The most relevant effect on hydrodynamics was a wave-induced setup in the inner part of the estuary.","language":"English","publisher":"AGU Publications","doi":"10.1029/2011JC007387","usgsCitation":"Olabarrieta, M., Warner, J., and Kumar, N., 2011, Wave-current interaction in Willapa Bay: Journal of Geophysical Research C: Oceans, v. 116, no. C12, Article C12014; 27 p., https://doi.org/10.1029/2011JC007387.","productDescription":"Article C12014; 27 p.","ipdsId":"IP-023116","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475411,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4991","text":"External Repository"},{"id":345174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Willapa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.178466796875,\n              46.31658418182218\n            ],\n            [\n              -123.67309570312499,\n              46.31658418182218\n            ],\n            [\n              -123.67309570312499,\n              46.77184961467733\n            ],\n            [\n              -124.178466796875,\n              46.77184961467733\n            ],\n            [\n              -124.178466796875,\n              46.31658418182218\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"116","issue":"C12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2011-12-13","publicationStatus":"PW","scienceBaseUri":"59a3da31e4b077f005673229","contributors":{"authors":[{"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":708564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Nirnimesh","contributorId":102308,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":708566,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192767,"text":"70192767 - 2011 - Coal resources for part of the Wilcox group (Paleocene through Eocene), central Texas","interactions":[],"lastModifiedDate":"2020-10-22T16:46:06.73634","indexId":"70192767","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"10","title":"Coal resources for part of the Wilcox group (Paleocene through Eocene), central Texas","docAbstract":"<p><span>The Wilcox Group of central Texas contains shallow (less than 500 ft) coal deposits that are mined for use in mine-mouth electric power generating plants. These coal deposits range in apparent rank from lignite to sub-bituminous (Pierce et al., 2011) and are similar in rank and composition to shallow coal deposits in the northeast and south Texas areas (Figure 1). The coal zones and associated strata in the central Texas assessment area generally dip to the southeast toward the Gulf of Mexico coastline and basin center. The central Texas resource assessment area includes parts of eight counties (Figure 2). The assessment area was selected to encompass current mining areas and areas with available subsurface stratigraphic data. The assessment area is roughly 160 miles long and 5 to 25 miles wide and generally follows the outcrop of the Paleocene to Eocene Wilcox Group in central Texas (Figures 1, 2). Approximately 1800 subsurface stratigraphic records from rotary and core drill holes were used to assess the resources of the central Texas assessment area. Of the 1800 drill holes, only 167 are public data points and are primarily located in the areas that have been permitted for surface mining (Figure 2; Appendix 1). The remaining 1632 drill holes, which are distributed throughout the assessment area, were provided to the U.S. Geological Survey (USGS) on a confidential basis by various coal companies for use in regional studies.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Warwick, P.D., Aubourg, C.E., Suitt, S.E., Podwysocki, S.M., and Schultz, A.C., 2011, Coal resources for part of the Wilcox group (Paleocene through Eocene), central Texas, chap. 10 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 192-259.","productDescription":"68 p.","startPage":"192","endPage":"259","ipdsId":"IP-020041","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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 \"}}]}","volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743587e4b0a9a2e9e25cbe","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726433,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726434,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726435,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":726436,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aubourg, Claire E.","contributorId":87192,"corporation":false,"usgs":true,"family":"Aubourg","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suitt, Stephen E. ssuitt@usgs.gov","contributorId":3952,"corporation":false,"usgs":true,"family":"Suitt","given":"Stephen","email":"ssuitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Podwysocki, Steven M.","contributorId":90352,"corporation":false,"usgs":true,"family":"Podwysocki","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Adam C.","contributorId":82752,"corporation":false,"usgs":true,"family":"Schultz","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":716868,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193893,"text":"70193893 - 2011 - Quantifying greenhouse gas emissions from coal fires using airborne and ground-based methods","interactions":[],"lastModifiedDate":"2017-11-08T12:48:19","indexId":"70193893","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying greenhouse gas emissions from coal fires using airborne and ground-based methods","docAbstract":"<p>Coal fires occur in all coal-bearing regions of the world and number, conservatively, in the thousands. These fires emit a variety of compounds including greenhouse gases. However, the magnitude of the contribution of combustion gases from coal fires to the environment is highly uncertain, because adequate data and methods for assessing emissions are lacking. This study demonstrates the ability to estimate CO<sub>2</sub> and CH<sub>4</sub> emissions for the Welch Ranch coal fire, Powder River Basin, Wyoming, USA, using two independent methods: (a) heat flux calculated from aerial thermal infrared imaging (3.7–4.4&nbsp;t&nbsp;d<sup>−1</sup> of CO<sub>2</sub> equivalent emissions) and (b) direct, ground-based measurements (7.3–9.5&nbsp;t&nbsp;d<sup>−1</sup> of CO<sub>2</sub> equivalent emissions). Both approaches offer the potential for conducting inventories of coal fires to assess their gas emissions and to evaluate and prioritize fires for mitigation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2011.09.003","usgsCitation":"Engle, M.A., Radke, L.F., Heffern, E.L., O’Keefe, J.M., Smeltzer, C., Hower, J., Hower, J.M., Prakash, A., Kolker, A., Eatwell, R.J., ter Schure, A., Queen, G., Aggen, K.L., Stracher, G.B., Henke, K., Olea, R.A., and Roman-Colon, Y., 2011, Quantifying greenhouse gas emissions from coal fires using airborne and ground-based methods: International Journal of Coal Geology, v. 88, no. 2-3, p. 147-151, https://doi.org/10.1016/j.coal.2011.09.003.","productDescription":"5 p.","startPage":"147","endPage":"151","ipdsId":"IP-017535","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":348445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"2-3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425f2e4b0dc0b45b456f4","contributors":{"authors":[{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radke, Lawrence F.","contributorId":200118,"corporation":false,"usgs":false,"family":"Radke","given":"Lawrence","email":"","middleInitial":"F.","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false},{"id":35691,"text":"Airborne Research Consultants, Saunderstown, RI","active":true,"usgs":false}],"preferred":false,"id":721060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heffern, Edward L.","contributorId":200116,"corporation":false,"usgs":false,"family":"Heffern","given":"Edward","email":"","middleInitial":"L.","affiliations":[{"id":16722,"text":"US Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":721057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Keefe, Jennifer M.K.","contributorId":200117,"corporation":false,"usgs":false,"family":"O’Keefe","given":"Jennifer","email":"","middleInitial":"M.K.","affiliations":[{"id":35685,"text":"Morehead State University, Morehead, KY","active":true,"usgs":false}],"preferred":false,"id":721059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smeltzer, Charles","contributorId":200119,"corporation":false,"usgs":false,"family":"Smeltzer","given":"Charles","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":721061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hower, James C. 0000-0003-4694-2776","orcid":"https://orcid.org/0000-0003-4694-2776","contributorId":34561,"corporation":false,"usgs":false,"family":"Hower","given":"James C.","affiliations":[{"id":16123,"text":"University of Kentucky, Center for Applied Energy Research, 2540 Research Park Drive, Lexington, KY 40511, United States.","active":true,"usgs":false}],"preferred":false,"id":721058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hower, Judith M.","contributorId":200120,"corporation":false,"usgs":false,"family":"Hower","given":"Judith","email":"","middleInitial":"M.","affiliations":[{"id":35690,"text":"Geomed Associates, Lexington, KY 40503","active":true,"usgs":false}],"preferred":false,"id":721062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prakash, Anupma","contributorId":189216,"corporation":false,"usgs":false,"family":"Prakash","given":"Anupma","email":"","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721063,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eatwell, Robert J.","contributorId":200121,"corporation":false,"usgs":false,"family":"Eatwell","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":35691,"text":"Airborne Research Consultants, Saunderstown, RI","active":true,"usgs":false}],"preferred":false,"id":721064,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"ter Schure, Arnout","contributorId":200122,"corporation":false,"usgs":false,"family":"ter Schure","given":"Arnout","email":"","affiliations":[{"id":26941,"text":"Electric Power Research Institute, Palo Alto, CA","active":true,"usgs":false}],"preferred":false,"id":721065,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Queen, Gerald","contributorId":200123,"corporation":false,"usgs":false,"family":"Queen","given":"Gerald","email":"","affiliations":[{"id":16722,"text":"US Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":721066,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Aggen, Kerry L.","contributorId":200124,"corporation":false,"usgs":false,"family":"Aggen","given":"Kerry","email":"","middleInitial":"L.","affiliations":[{"id":16722,"text":"US Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":721067,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stracher, Glenn B.","contributorId":200125,"corporation":false,"usgs":false,"family":"Stracher","given":"Glenn","email":"","middleInitial":"B.","affiliations":[{"id":35693,"text":"East Georgia College, Swainsboro, GA","active":true,"usgs":false}],"preferred":false,"id":721068,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Henke, Kevin R.","contributorId":200126,"corporation":false,"usgs":false,"family":"Henke","given":"Kevin R.","affiliations":[{"id":35694,"text":"University of Kentucky, Center for Applied Energy Research, Lexington, KY","active":true,"usgs":false}],"preferred":false,"id":721069,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":139555,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":721056,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Roman-Colon, Yomayara","contributorId":200127,"corporation":false,"usgs":true,"family":"Roman-Colon","given":"Yomayara","email":"","affiliations":[{"id":30754,"text":"USGS, Reston, VA","active":true,"usgs":false}],"preferred":false,"id":721070,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70036411,"text":"70036411 - 2011 - Winter habitat associations of diurnal raptors in Californias Central Valley","interactions":[],"lastModifiedDate":"2012-03-12T17:22:04","indexId":"70036411","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3743,"text":"Western Birds","active":true,"publicationSubtype":{"id":10}},"title":"Winter habitat associations of diurnal raptors in Californias Central Valley","docAbstract":"The wintering raptors of California's Central Valley are abundant and diverse. Despite this, little information exists on the habitats used by these birds in winter. We recorded diurnal raptors along 19 roadside survey routes throughout the Central Valley for three consecutive winters between 2007 and 2010. We obtained data sufficient to determine significant positive and negative habitat associations for the White-tailed Kite (Elanus leucurus), Bald Eagle {Haliaeetus leucocephalus), Northern Harrier (Circus cyaneus), Red-tailed Hawk (Buteo jamaicensis), Ferruginous Hawk (Buteo regalis), Rough-legged Hawk (Buteo lagopus), American Kestrel (Falco sparverius), and Prairie Falcon (Falco mexicanus). The Prairie Falcon and Ferruginous and Rough-legged hawks showed expected strong positive associations with grasslands. The Bald Eagle and Northern Harrier were positively associated not only with wetlands but also with rice. The strongest positive association for the White-tailed Kite was with wetlands. The Red-tailed Hawk was positively associated with a variety of habitat types but most strongly with wetlands and rice. The American Kestrel, Northern Harrier, and White-tailed Kite were positively associated with alfalfa. Nearly all species were negatively associated with urbanized landscapes, orchards, and other intensive forms of agriculture. The White-tailed Kite, Northern Harrier, Redtailed Hawk, Ferruginous Hawk, and American Kestrel showed significant negative associations with oak savanna. Given the rapid conversion of the Central Valley to urban and intensive agricultural uses over the past few decades, these results have important implications for conservation of these wintering raptors in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western Birds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"01601121","usgsCitation":"Pandolrno, E., Herzog, M., Hooper, S., and Smith, Z., 2011, Winter habitat associations of diurnal raptors in Californias Central Valley: Western Birds, v. 42, no. 2, p. 62-84.","startPage":"62","endPage":"84","numberOfPages":"23","costCenters":[],"links":[{"id":246191,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd150e4b08c986b32f363","contributors":{"authors":[{"text":"Pandolrno, E.R.","contributorId":55249,"corporation":false,"usgs":true,"family":"Pandolrno","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":456009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herzog, M.P.","contributorId":37865,"corporation":false,"usgs":true,"family":"Herzog","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":456007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooper, S.L.","contributorId":33562,"corporation":false,"usgs":true,"family":"Hooper","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":456006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Z.","contributorId":53192,"corporation":false,"usgs":true,"family":"Smith","given":"Z.","email":"","affiliations":[],"preferred":false,"id":456008,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036470,"text":"70036470 - 2011 - Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography","interactions":[],"lastModifiedDate":"2021-01-08T19:12:03.452045","indexId":"70036470","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography","docAbstract":"<p><span>A significant amount of research conducted in the Sonoran Desert of North America has documented, both anecdotally and empirically, major vegetation changes over the past century due to human land use activities. However, many studies lack coincidental landscape-scale data characterizing the spatial and temporal manifestation of these changes. Vegetation changes in a binational (USA and Mexico) watershed were documented using a series of four land cover maps (1979-2009) derived from multispectral satellite imagery. Cover changes are compared to georeferenced, repeat oblique photographs dating from the late 19&nbsp;</span><sup>th</sup><span>&nbsp;century to present. Results indicate the expansion of grassland over the past 20 years following nearly a century of decline. Historical repeat photography documents early-mid 20&nbsp;</span><sup>th</sup><span>&nbsp;century mesquite invasions, but recent land cover data and rephotography demonstrate declines in xeroriparian/riparian mesquite communities in recent decades. These vegetation changes are variable over the landscape and influenced by topography and land management.</span></p>","largerWorkTitle":"2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings","conferenceTitle":"2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011","conferenceDate":"July 12-14, 2011","conferenceLocation":"Trento, Italy","language":"English","doi":"10.1109/Multi-Temp.2011.6005058","isbn":"9781457712036","usgsCitation":"Villarreal, M., Norman, L.M., Webb, R., Boyer, D.E., and Turner, R., 2011, Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography, <i>in</i> 2011 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Multi-Temp 2011 - Proceedings, Trento, Italy, July 12-14, 2011, p. 101-104, https://doi.org/10.1109/Multi-Temp.2011.6005058.","productDescription":"4 p.","startPage":"101","endPage":"104","costCenters":[],"links":[{"id":246613,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218587,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/Multi-Temp.2011.6005058"}],"country":"United States","state":"Arizona, California","otherGeospatial":"Sonoran Desert of North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.85107421875,\n              32.509761735919426\n            ],\n            [\n              -111.533203125,\n              31.50362930577303\n            ],\n            [\n              -109.3359375,\n              33.94335994657882\n            ],\n            [\n              -115.04882812499999,\n              34.95799531086792\n            ],\n            [\n              -114.85107421875,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbcdfe4b08c986b328e4d","contributors":{"authors":[{"text":"Villarreal, M.L.","contributorId":74254,"corporation":false,"usgs":true,"family":"Villarreal","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":456302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":456300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert rhwebb@usgs.gov","contributorId":187755,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"rhwebb@usgs.gov","affiliations":[],"preferred":true,"id":456299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Diane E.","contributorId":22018,"corporation":false,"usgs":true,"family":"Boyer","given":"Diane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":456303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, R.E.","contributorId":39749,"corporation":false,"usgs":false,"family":"Turner","given":"R.E.","email":"","affiliations":[{"id":16756,"text":"Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":456301,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036472,"text":"70036472 - 2011 - Characterizing land surface change and levee stability in the Sacramento-San Joaquin Delta using UAVSAR radar imagery","interactions":[],"lastModifiedDate":"2021-01-08T18:55:15.266512","indexId":"70036472","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterizing land surface change and levee stability in the Sacramento-San Joaquin Delta using UAVSAR radar imagery","docAbstract":"<p><span>The islands of the Sacramento-San Joaquin Delta have been subject to subsidence since they were first reclaimed from the estuary marshlands starting over 100 years ago, with most of the land currently lying below mean sea level. This area, which is the primary water resource of the state of California, is under constant threat of inundation from levee failure. Since July 2009, we have been imaging the area using the quad-polarimetric UAVSAR L-band radar, with eighteen data sets collected as of April 2011. Here we report results of our polarimetric and differential interferometric analysis of the data for levee deformation and land surface change.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011","conferenceDate":"July 24-29, 2011","conferenceLocation":"Vancouver, BC","language":"English","doi":"10.1109/IGARSS.2011.6049546","isbn":"9781457710056","usgsCitation":"Jones, C., Bawden, G., Deverel, S., Dudas, J., and Hensley, S., 2011, Characterizing land surface change and levee stability in the Sacramento-San Joaquin Delta using UAVSAR radar imagery, <i>in</i> International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, BC, July 24-29, 2011, p. 1638-1641, https://doi.org/10.1109/IGARSS.2011.6049546.","productDescription":"4 p.","startPage":"1638","endPage":"1641","numberOfPages":"4","costCenters":[],"links":[{"id":246134,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218149,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/IGARSS.2011.6049546"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.22265625000001,\n              36.98500309285596\n            ],\n            [\n              -121.2451171875,\n              36.98500309285596\n            ],\n            [\n              -121.2451171875,\n              38.42777351132902\n            ],\n            [\n              -123.22265625000001,\n              38.42777351132902\n            ],\n            [\n              -123.22265625000001,\n              36.98500309285596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4ffe4b0c8380cd4c021","contributors":{"authors":[{"text":"Jones, C.","contributorId":42914,"corporation":false,"usgs":true,"family":"Jones","given":"C.","affiliations":[],"preferred":false,"id":456309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, G.","contributorId":63597,"corporation":false,"usgs":true,"family":"Bawden","given":"G.","email":"","affiliations":[],"preferred":false,"id":456310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deverel, S.","contributorId":34370,"corporation":false,"usgs":true,"family":"Deverel","given":"S.","affiliations":[],"preferred":false,"id":456308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dudas, J.","contributorId":93745,"corporation":false,"usgs":true,"family":"Dudas","given":"J.","email":"","affiliations":[],"preferred":false,"id":456311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hensley, S.","contributorId":6175,"corporation":false,"usgs":true,"family":"Hensley","given":"S.","email":"","affiliations":[],"preferred":false,"id":456307,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036474,"text":"70036474 - 2011 - Adaptive finite volume methods with well-balanced Riemann solvers for modeling floods in rugged terrain: Application to the Malpasset dam-break flood (France, 1959)","interactions":[],"lastModifiedDate":"2012-03-12T17:22:05","indexId":"70036474","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2023,"text":"International Journal for Numerical Methods in Fluids","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive finite volume methods with well-balanced Riemann solvers for modeling floods in rugged terrain: Application to the Malpasset dam-break flood (France, 1959)","docAbstract":"The simulation of advancing flood waves over rugged topography, by solving the shallow-water equations with well-balanced high-resolution finite volume methods and block-structured dynamic adaptive mesh refinement (AMR), is described and validated in this paper. The efficiency of block-structured AMR makes large-scale problems tractable, and allows the use of accurate and stable methods developed for solving general hyperbolic problems on quadrilateral grids. Features indicative of flooding in rugged terrain, such as advancing wet-dry fronts and non-stationary steady states due to balanced source terms from variable topography, present unique challenges and require modifications such as special Riemann solvers. A well-balanced Riemann solver for inundation and general (non-stationary) flow over topography is tested in this context. The difficulties of modeling floods in rugged terrain, and the rationale for and efficacy of using AMR and well-balanced methods, are presented. The algorithms are validated by simulating the Malpasset dam-break flood (France, 1959), which has served as a benchmark problem previously. Historical field data, laboratory model data and other numerical simulation results (computed on static fitted meshes) are shown for comparison. The methods are implemented in GEOCLAW, a subset of the open-source CLAWPACK software. All the software is freely available at. Published in 2010 by John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal for Numerical Methods in Fluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/fld.2298","issn":"02712091","usgsCitation":"George, D., 2011, Adaptive finite volume methods with well-balanced Riemann solvers for modeling floods in rugged terrain: Application to the Malpasset dam-break flood (France, 1959): International Journal for Numerical Methods in Fluids, v. 66, no. 8, p. 1000-1018, https://doi.org/10.1002/fld.2298.","startPage":"1000","endPage":"1018","numberOfPages":"19","costCenters":[],"links":[{"id":218179,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/fld.2298"},{"id":246164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-06-13","publicationStatus":"PW","scienceBaseUri":"5059e6e4e4b0c8380cd476e0","contributors":{"authors":[{"text":"George, D.L.","contributorId":54419,"corporation":false,"usgs":true,"family":"George","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":456317,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036487,"text":"70036487 - 2011 - Mapping rice areas of South Asia using MODIS multitemporal data","interactions":[],"lastModifiedDate":"2021-01-08T17:57:53.57838","indexId":"70036487","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping rice areas of South Asia using MODIS multitemporal data","docAbstract":"<p><span>Our goal is to map the rice areas of six South Asian countries using moderate-resolution imaging spectroradiometer (MODIS) time-series data for the time period 2000 to 2001. South Asia accounts for almost 40% of the world's harvested rice area and is also home to 74% of the population that lives on less than $2.00 a day. The population of the region is growing faster than its ability to produce rice. Thus, accurate and timely assessment of where and how rice is cultivated is important to craft food security and poverty alleviation strategies. We used a time series of eight-day, 500-m spatial resolution composite images from the MODIS sensor to produce rice maps and rice characteristics (e.g., intensity of cropping, cropping calendar) taking data for the years 2000 to 2001 and by adopting a suite of methods that include spectral matching techniques, decision trees, and ideal temporal profile data banks to rapidly identify and classify rice areas over large spatial extents. These methods are used in conjunction with ancillary spatial data sets (e.g., elevation, precipitation), national statistics, and maps, and a large volume of field-plot data. The resulting rice maps and statistics are compared against a subset of independent field-plot points and the best available subnational statistics on rice areas for the main crop growing season (kharif season). A fuzzy classification accuracy assessment for the 2000 to 2001 rice-map product, based on field-plot data, demonstrated accuracies from 67% to 100% for individual rice classes, with an overall accuracy of 80% for all classes. Most of the mixing was within rice classes. The derived physical rice area was highly correlated with the subnational statistics with&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;values of 97% at the district level and 99% at the state level for 2000 to 2001. These results suggest that the methods, approaches, algorithms, and data sets we used are ideal for rapid, accurate, and large-scale mapping of paddy rice as well as for generating their statistics over large areas.</span></p>","language":"English","publisher":"Society of Photo-Optical Instrumentation Engineers","doi":"10.1117/1.3619838","issn":"19313195","usgsCitation":"Gumma, M., Nelson, A., Thenkabail, P., and Singh, A., 2011, Mapping rice areas of South Asia using MODIS multitemporal data: Journal of Applied Remote Sensing, v. 5, no. 1, 053547, 27 p., https://doi.org/10.1117/1.3619838.","productDescription":"053547, 27 p.","costCenters":[],"links":[{"id":488988,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.3619838","text":"Publisher Index Page"},{"id":246382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218380,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.3619838"}],"country":"Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri Lanka","otherGeospatial":"South Asia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[77.83745,35.49401],[78.91227,34.32194],[78.81109,33.5062],[79.20889,32.99439],[79.17613,32.48378],[78.45845,32.61816],[78.73889,31.51591],[79.72137,30.88271],[81.11126,30.18348],[81.5258,30.42272],[82.32751,30.11527],[83.33712,29.46373],[83.89899,29.32023],[84.23458,28.83989],[85.01164,28.64277],[85.82332,28.20358],[86.95452,27.97426],[88.12044,27.87654],[88.73033,28.08686],[88.81425,27.29932],[89.47581,28.04276],[90.01583,28.29644],[90.73051,28.06495],[91.25885,28.04061],[91.69666,27.77174],[92.50312,27.89688],[93.41335,28.64063],[94.56599,29.27744],[95.4048,29.03172],[96.11768,29.4528],[96.58659,28.83098],[96.24883,28.41103],[97.32711,28.26158],[97.40256,27.88254],[97.05199,27.69906],[97.134,27.08377],[96.41937,27.26459],[95.12477,26.57357],[95.15515,26.00131],[94.60325,25.1625],[94.55266,24.67524],[94.10674,23.85074],[93.32519,24.07856],[93.28633,23.04366],[93.06029,22.70311],[93.16613,22.27846],[92.67272,22.04124],[92.65226,21.32405],[92.30323,21.47549],[92.36855,20.67088],[92.08289,21.1922],[92.02522,21.70157],[91.83489,22.18294],[91.41709,22.76502],[90.49601,22.80502],[90.58696,22.39279],[90.27297,21.83637],[89.84747,22.03915],[89.70205,21.85712],[89.41886,21.96618],[89.03196,22.05571],[88.88877,21.69059],[88.2085,21.70317],[86.9757,21.49556],[87.03317,20.74331],[86.49935,20.15164],[85.06027,19.47858],[83.94101,18.30201],[83.18922,17.67122],[82.19279,17.01664],[82.19124,16.55666],[81.69272,16.31022],[80.792,15.95197],[80.3249,15.89918],[80.02507,15.13641],[80.23327,13.83577],[80.28629,13.00626],[79.86255,12.05622],[79.858,10.35728],[79.34051,10.30885],[78.88535,9.54614],[79.18972,9.21654],[78.27794,8.93305],[77.94117,8.25296],[77.5399,7.96553],[76.59298,8.89928],[76.13006,10.29963],[75.74647,11.30825],[75.3961,11.78125],[74.86482,12.74194],[74.61672,13.99258],[74.44386,14.61722],[73.5342,15.99065],[73.11991,17.92857],[72.82091,19.20823],[72.82448,20.4195],[72.63053,21.35601],[71.17527,20.75744],[70.47046,20.87733],[69.16413,22.0893],[69.64493,22.45077],[69.3496,22.84318],[68.17665,23.69197],[67.44367,23.94484],[67.14544,24.66361],[66.37283,25.42514],[64.53041,25.23704],[62.9057,25.21841],[61.49736,25.07824],[61.87419,26.23997],[63.31663,26.75653],[63.2339,27.21705],[62.75543,27.37892],[62.72783,28.25964],[61.77187,28.69933],[61.36931,29.30328],[60.87425,29.82924],[62.54986,29.31857],[63.55026,29.46833],[64.148,29.34082],[64.35042,29.56003],[65.04686,29.47218],[66.34647,29.88794],[66.38146,30.7389],[66.93889,31.30491],[67.68339,31.30315],[67.79269,31.58293],[68.55693,31.71331],[68.92668,31.62019],[69.31776,31.90141],[69.26252,32.50194],[69.68715,33.1055],[70.32359,33.35853],[69.93054,34.02012],[70.8818,33.98886],[71.15677,34.34891],[71.11502,34.73313],[71.61308,35.1532],[71.49877,35.65056],[71.26235,36.07439],[71.84629,36.50994],[72.92002,36.72001],[74.06755,36.83618],[74.57589,37.02084],[75.15803,37.13303],[75.8969,36.66681],[76.19285,35.8984],[77.83745,35.49401]]],[[[81.78796,7.52306],[81.63732,6.48178],[81.21802,6.19714],[80.34836,5.96837],[79.87247,6.76346],[79.69517,8.20084],[80.1478,9.82408],[80.83882,9.26843],[81.30432,8.56421],[81.78796,7.52306]]]]},\"properties\":{\"name\":\"India\"}}]}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5073e4b0c8380cd6b6c8","contributors":{"authors":[{"text":"Gumma, M.K.","contributorId":12286,"corporation":false,"usgs":true,"family":"Gumma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":456376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, A.","contributorId":50343,"corporation":false,"usgs":true,"family":"Nelson","given":"A.","affiliations":[],"preferred":false,"id":456378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thenkabail, P.S.","contributorId":66071,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":456379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singh, A.N.","contributorId":36790,"corporation":false,"usgs":true,"family":"Singh","given":"A.N.","email":"","affiliations":[],"preferred":false,"id":456377,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036196,"text":"70036196 - 2011 - Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic","interactions":[],"lastModifiedDate":"2021-01-25T20:48:00.867474","indexId":"70036196","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"3","title":"Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic","docAbstract":"<p><span>New Circum-Arctic maps of magnetic and gravity anomalies have been produced by merging regional gridded data. Satellite magnetic and gravity data were used for quality control of the long wavelengths of the new compilations. The new Circum-Arctic digital compilations of magnetic, gravity and some of their derivatives have been analyzed together with other freely available regional and global data and models in order to provide a consistent view of the tectonically complex Arctic basins and surrounding continents. Sharp, linear contrasts between deeply buried basement blocks with different magnetic properties and densities that can be identified on these maps can be used, together with other geological and geophysical information, to refine the tectonic boundaries of the Arctic domain.</span></p>","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.3","issn":"04354052","usgsCitation":"Gaina, C., Werner, S., Saltus, R., Maus, S., Aaro, S., Damaske, D., Forsberg, R., Glebovsky, V., Johnson, K.K., Jonberger, J., Koren, T., Korhonen, J., Litvinova, T., Oakey, G., Olesen, O., Petrov, O., Pilkington, M., Rasmussen, T., Schreckenberger, B., and Smelror, M., 2011, Circum-Arctic mapping project: New magnetic and gravity anomaly maps of the Arctic: Geological Society Memoir, no. 35, p. 39-48, https://doi.org/10.1144/M35.3.","productDescription":"10 p.","startPage":"39","endPage":"48","costCenters":[],"links":[{"id":246272,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218275,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.3"}],"issue":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46ae4b0c8380cd4bd09","contributors":{"authors":[{"text":"Gaina, C.","contributorId":71389,"corporation":false,"usgs":true,"family":"Gaina","given":"C.","email":"","affiliations":[],"preferred":false,"id":454778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, S.C.","contributorId":22170,"corporation":false,"usgs":true,"family":"Werner","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":454770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saltus, R.","contributorId":107040,"corporation":false,"usgs":true,"family":"Saltus","given":"R.","email":"","affiliations":[],"preferred":false,"id":454786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maus, S.","contributorId":104315,"corporation":false,"usgs":true,"family":"Maus","given":"S.","email":"","affiliations":[],"preferred":false,"id":454784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aaro, S.","contributorId":107544,"corporation":false,"usgs":true,"family":"Aaro","given":"S.","email":"","affiliations":[],"preferred":false,"id":454787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Damaske, D.","contributorId":66771,"corporation":false,"usgs":true,"family":"Damaske","given":"D.","affiliations":[],"preferred":false,"id":454776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forsberg, R.","contributorId":16213,"corporation":false,"usgs":true,"family":"Forsberg","given":"R.","email":"","affiliations":[],"preferred":false,"id":454769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glebovsky, V.","contributorId":34759,"corporation":false,"usgs":true,"family":"Glebovsky","given":"V.","email":"","affiliations":[],"preferred":false,"id":454772,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454781,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jonberger, J.","contributorId":52016,"corporation":false,"usgs":true,"family":"Jonberger","given":"J.","email":"","affiliations":[],"preferred":false,"id":454775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koren, T.","contributorId":43608,"corporation":false,"usgs":true,"family":"Koren","given":"T.","email":"","affiliations":[],"preferred":false,"id":454773,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Korhonen, J.","contributorId":103913,"corporation":false,"usgs":true,"family":"Korhonen","given":"J.","affiliations":[],"preferred":false,"id":454783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Litvinova, T.","contributorId":73045,"corporation":false,"usgs":true,"family":"Litvinova","given":"T.","email":"","affiliations":[],"preferred":false,"id":454779,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oakey, G.","contributorId":68574,"corporation":false,"usgs":true,"family":"Oakey","given":"G.","email":"","affiliations":[],"preferred":false,"id":454777,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Olesen, O.","contributorId":84194,"corporation":false,"usgs":true,"family":"Olesen","given":"O.","email":"","affiliations":[],"preferred":false,"id":454782,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Petrov, O.","contributorId":32386,"corporation":false,"usgs":true,"family":"Petrov","given":"O.","email":"","affiliations":[],"preferred":false,"id":454771,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pilkington, M.","contributorId":105476,"corporation":false,"usgs":true,"family":"Pilkington","given":"M.","email":"","affiliations":[],"preferred":false,"id":454785,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rasmussen, T.","contributorId":50389,"corporation":false,"usgs":true,"family":"Rasmussen","given":"T.","email":"","affiliations":[],"preferred":false,"id":454774,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Schreckenberger, B.","contributorId":15867,"corporation":false,"usgs":true,"family":"Schreckenberger","given":"B.","email":"","affiliations":[],"preferred":false,"id":454768,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Smelror, M.","contributorId":80523,"corporation":false,"usgs":true,"family":"Smelror","given":"M.","email":"","affiliations":[],"preferred":false,"id":454780,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70036864,"text":"70036864 - 2011 - Co-occurrence patterns of trees along macro-climatic gradients and their potential influence on the present and future distribution of Fagus sylvatica L.","interactions":[],"lastModifiedDate":"2020-12-18T18:15:21.920437","indexId":"70036864","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Co-occurrence patterns of trees along macro-climatic gradients and their potential influence on the present and future distribution of Fagus sylvatica L.","docAbstract":"<p><span>During recent and future climate change, shifts in large-scale species ranges are expected due to the hypothesized major role of climatic factors in regulating species distributions. The stress-gradient hypothesis suggests that biotic interactions may act as major constraints on species distributions under more favourable growing conditions, while climatic constraints may dominate under unfavourable conditions. We tested this hypothesis for one focal tree species having three major competitors using broad-scale environmental data. We evaluated the variation of species co-occurrence patterns in climate space and estimated the influence of these patterns on the distribution of the focal species for current and projected future climates. Location: Europe. Methods: We used ICP Forest Level 1 data as well as climatic, topographic and edaphic variables. First, correlations between the relative abundance of European beech (Fagus sylvatica) and three major competitor species (Picea abies, Pinus sylvestris and Quercus robur) were analysed in environmental space, and then projected to geographic space. Second, a sensitivity analysis was performed using generalized additive models (GAM) to evaluate where and how much the predicted F. sylvatica distribution varied under current and future climates if potential competitor species were included or excluded. We evaluated if these areas coincide with current species co-occurrence patterns. Results: Correlation analyses supported the stress-gradient hypothesis: towards favourable growing conditions of F. sylvatica, its abundance was strongly linked to the abundance of its competitors, while this link weakened towards unfavourable growing conditions, with stronger correlations in the south and at low elevations than in the north and at high elevations. The sensitivity analysis showed a potential spatial segregation of species with changing climate and a pronounced shift of zones where co-occurrence patterns may play a major role. Main conclusions: Our Results: demonstrate the importance of species co-occurrence patterns for calibrating improved species distribution models for use in projections of climate effects. The correlation approach is able to localize European areas where inclusion of biotic predictors is effective. The climateinduced spatial segregation of the major tree species could have ecological and economic consequences.</span></p>","language":"English","publisher":"Blackwell Publishing","doi":"10.1111/j.1365-2699.2010.02405.x","issn":"03050270","usgsCitation":"Meier, E., Edwards, T.C., Kienast, F., Dobbertin, M., and Zimmermann, N., 2011, Co-occurrence patterns of trees along macro-climatic gradients and their potential influence on the present and future distribution of Fagus sylvatica L.: Journal of Biogeography, v. 38, no. 2, p. 371-382, https://doi.org/10.1111/j.1365-2699.2010.02405.x.","productDescription":"12 p.","startPage":"371","endPage":"382","ipdsId":"IP-024915","costCenters":[],"links":[{"id":488972,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3436519","text":"External Repository"},{"id":245710,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217747,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2699.2010.02405.x"}],"otherGeospatial":"Europe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -10.1953125,\n              36.31512514748051\n            ],\n            [\n              0.703125,\n              37.16031654673677\n            ],\n            [\n              5.712890625,\n              38.06539235133249\n            ],\n            [\n              9.404296875,\n              38.34165619279595\n            ],\n            [\n              14.677734375000002,\n              35.02999636902566\n            ],\n            [\n              29.091796875,\n              34.66935854524543\n            ],\n            [\n              29.443359375,\n              36.527294814546245\n            ],\n            [\n              26.279296875,\n              40.245991504199026\n            ],\n            [\n              32.16796875,\n              45.9511496866914\n            ],\n            [\n              40.25390625,\n              47.57652571374621\n            ],\n            [\n              40.25390625,\n              49.724479188712984\n            ],\n            [\n              33.57421875,\n              52.482780222078226\n            ],\n            [\n              29.970703124999996,\n              51.998410382390325\n            ],\n            [\n              32.431640625,\n              53.64463782485651\n            ],\n            [\n              30.673828125,\n              55.727110085045986\n            ],\n            [\n              28.652343749999996,\n              56.70450561416937\n            ],\n            [\n              30.937499999999996,\n              60.58696734225869\n            ],\n            [\n              30.937499999999996,\n              64.62387720204688\n            ],\n            [\n              29.53125,\n              69.41124235697256\n            ],\n            [\n              31.289062500000004,\n              71.85622888185527\n            ],\n            [\n              21.09375,\n              71.63599288330609\n            ],\n            [\n              8.0859375,\n              67.06743335108298\n            ],\n            [\n              -12.65625,\n              60.75915950226991\n            ],\n            [\n              -13.7109375,\n              54.36775852406841\n            ],\n            [\n              -10.1953125,\n              36.31512514748051\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-29","publicationStatus":"PW","scienceBaseUri":"5059f67ae4b0c8380cd4c7b7","contributors":{"authors":[{"text":"Meier, E.S.","contributorId":102713,"corporation":false,"usgs":true,"family":"Meier","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":458190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":2061,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas","suffix":"Jr.","email":"tce@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":false,"id":458188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kienast, Felix","contributorId":9508,"corporation":false,"usgs":true,"family":"Kienast","given":"Felix","email":"","affiliations":[],"preferred":false,"id":458186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobbertin, M.","contributorId":98601,"corporation":false,"usgs":true,"family":"Dobbertin","given":"M.","email":"","affiliations":[],"preferred":false,"id":458189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmermann, N.E.","contributorId":24547,"corporation":false,"usgs":true,"family":"Zimmermann","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":458187,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036488,"text":"70036488 - 2011 - The indication of Martian gully formation processes by slope-area analysis","interactions":[],"lastModifiedDate":"2019-02-04T11:04:41","indexId":"70036488","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1785,"text":"Geological Society Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"The indication of Martian gully formation processes by slope-area analysis","docAbstract":"<p>The formation process of recent gullies on Mars is currently under debate. This study aims to discriminate between the proposed formation processes - pure water flow, debris flow and dry mass wasting - through the application of geomorphological indices commonly used in terrestrial geomorphology. High-resolution digital elevation models (DEMs) of Earth and Mars were used to evaluate the drainage characteristics of small slope sections. Data from Earth were used to validate the hillslope, debris-flow and alluvial process domains previously found for large fluvial catchments on Earth, and these domains were applied to gullied and ungullied slopes on Mars. In accordance with other studies, our results indicate that debris flow is one of the main processes forming the Martian gullies that were being examined. The source of the water is predominantly distributed surface melting, not an underground aquifer. Evidence is also presented indicating that other processes may have shaped Martian crater slopes, such as ice-assisted creep and solifluction, in agreement with the proposed recent Martian glacial and periglacial climate. Our results suggest that, within impact craters, different processes are acting on differently oriented slopes, but further work is needed to investigate the potential link between these observations and changes in Martian climate.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society Special Publication","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of London","publisherLocation":"London","doi":"10.1144/SP356.10","issn":"03058719","usgsCitation":"Conway, S.J., Balme, M.R., Murray, J., Towner, M.C., Okubo, C., and Grindrod, P.M., 2011, The indication of Martian gully formation processes by slope-area analysis: Geological Society Special Publication, v. 356, no. 1, p. 171-201, https://doi.org/10.1144/SP356.10.","productDescription":"31 p.","startPage":"171","endPage":"201","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475339,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-02276823","text":"External Repository"},{"id":218381,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/SP356.10"},{"id":246383,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"356","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-11","publicationStatus":"PW","scienceBaseUri":"505bad05e4b08c986b323908","contributors":{"authors":[{"text":"Conway, Susan J.","contributorId":203697,"corporation":false,"usgs":false,"family":"Conway","given":"Susan","email":"","middleInitial":"J.","affiliations":[{"id":36693,"text":"University of Nantes","active":true,"usgs":false}],"preferred":false,"id":456383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balme, Matthew R.","contributorId":212708,"corporation":false,"usgs":false,"family":"Balme","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":456385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, John B.","contributorId":212709,"corporation":false,"usgs":false,"family":"Murray","given":"John B.","affiliations":[],"preferred":false,"id":456380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Towner, Martin C.","contributorId":212710,"corporation":false,"usgs":false,"family":"Towner","given":"Martin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":456384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":456382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grindrod, Peter M.","contributorId":212711,"corporation":false,"usgs":false,"family":"Grindrod","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":456381,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036489,"text":"70036489 - 2011 - Nitrogen uptake by the shoots of smooth cordgrass Spartina alterniflora","interactions":[],"lastModifiedDate":"2021-01-08T17:48:00.504303","indexId":"70036489","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen uptake by the shoots of smooth cordgrass Spartina alterniflora","docAbstract":"<p><span>The smooth cordgrass&nbsp;</span><i>Spartina alterniflora</i><span>&nbsp;is the foundation species in intertidal salt marshes of the North American Atlantic coast. Depending on its elevation within the marsh,&nbsp;</span><i>S. alterniflora</i><span>&nbsp;may be submerged for several hours per day. Previous ecosystem-level studies have demonstrated that&nbsp;</span><i>S. alterniflora</i><span>&nbsp;marshes are a net sink for nitrogen (N), and that removal of N from flooding tidal water can provide enough N to support the aboveground biomass. However, studies have not specifically investigated whether&nbsp;</span><i>S. alterniflora</i><span>&nbsp;plants assimilate nutrients through their aboveground tissue. We determined&nbsp;</span><i>in situ</i><span>&nbsp;foliar and stem N uptake kinetics for&nbsp;</span><sup>15</sup><span>NH</span><sub>4</sub><span>,&nbsp;</span><sup>15</sup><span>NO</span><sub>3</sub><span>, and&nbsp;&nbsp;</span><sup>15</sup><span>N-glycine by artificially flooding plants in a mid-Atlantic salt marsh. To determine the ecological importance of shoot uptake, a model was created to estimate the time of inundation of&nbsp;</span><i>S. alterniflora</i><span>&nbsp;in 20 cm height intervals during the growing season. Estimates of inundation time, shoot mass, N uptake rates, and N availability from long-term data sets were used to model seasonal shoot N uptake. Rates of aboveground N uptake rates (leaves + stems) were ranked as follows: NH</span><sub>4</sub><sup>+</sup><span>&nbsp;&gt; glycine &gt; NO</span><sub>3</sub><sup>–</sup><span>. Our model suggests that shoot N uptake may satisfy up to 15% of the growing season N demand in mid-Atlantic salt marshes, with variation depending on plant elevation and water column N availability. However, in eutrophic estuaries, our model indicates the potential of the plant canopy as a nutrient filter, with shoot uptake contributing 66 to 100% of plant N demand.</span></p>","language":"English","publisher":"Inter Research Science Publisher","doi":"10.3354/meps09117","issn":"01718630","usgsCitation":"Mozdzer, T., Kirwan, M., McGlathery, K., and Zieman, J.C., 2011, Nitrogen uptake by the shoots of smooth cordgrass Spartina alterniflora: Marine Ecology Progress Series, v. 433, p. 43-52, https://doi.org/10.3354/meps09117.","productDescription":"10 p.","startPage":"43","endPage":"52","costCenters":[],"links":[{"id":475290,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps09117","text":"Publisher Index Page"},{"id":246417,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218414,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps09117"}],"volume":"433","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a66f9e4b0c8380cd730e1","contributors":{"authors":[{"text":"Mozdzer, T. J.","contributorId":31888,"corporation":false,"usgs":false,"family":"Mozdzer","given":"T. J.","affiliations":[],"preferred":false,"id":456387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, M.","contributorId":41124,"corporation":false,"usgs":true,"family":"Kirwan","given":"M.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":456388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGlathery, K. J.","contributorId":72109,"corporation":false,"usgs":false,"family":"McGlathery","given":"K. J.","affiliations":[],"preferred":false,"id":456389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zieman, J. C.","contributorId":23265,"corporation":false,"usgs":false,"family":"Zieman","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":456386,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036865,"text":"70036865 - 2011 - Documenting channel features associated with gas hydrates in the Krishna-Godavari Basin, offshore India","interactions":[],"lastModifiedDate":"2020-12-18T18:04:37.819215","indexId":"70036865","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Documenting channel features associated with gas hydrates in the Krishna-Godavari Basin, offshore India","docAbstract":"<p><span>During the India National Gas Hydrate Program (NGHP) Expedition 01 in 2006 significant sand and gas hydrate were recovered at Site NGHP-01-15 within the Krishna–Godavari Basin, East Coast off India. At the drill site NGHP-01-15, a 5–8</span><span>&nbsp;</span><span>m thick interval was found that is characterized by higher sand content than anywhere else at the site and within the KG Basin. Gas hydrate concentrations were determined to be 20–40% of the pore volume using wire-line electrical resistivity data as well as core-derived pore-fluid freshening trends. The gas hydrate-bearing interval was linked to a prominent seismic reflection observed in the 3D seismic data. This reflection event, mapped for about 1</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>&nbsp;south of the drill site, is bound by a fault at its northern limit that may act as migration conduit for free gas to enter the gas hydrate stability zone (GHSZ) and subsequently charge the sand-rich layer. On 3D and additional regional 2D seismic data a prominent channel system was imaged mainly by using the seismic instantaneous amplitude attribute. The channel can be clearly identified by changes in the seismic character of the channel fill (sand-rich) and pronounced levees (less sand content than in the fill, but higher than in surrounding mud-dominated sediments). The entire channel sequence (channel fill and levees) has been subsequently covered and back-filled with a more mud-prone sediment sequence. Where the levees intersect the base of the GHSZ, their reflection strengths are significantly increased to 5- to 6-times the surrounding reflection amplitudes. Using the 3D seismic data these high-amplitude reflection edges where linked to the gas hydrate-bearing layer at Site NGHP-01-15. Further south along the channel the same reflection elements representing the levees do not show similarly large reflection amplitudes. However, the channel system is still characterized by several high-amplitude reflection events (a few hundred meters wide and up to ~</span><span>&nbsp;</span><span>1</span><span>&nbsp;</span><span>km in extent) interpreted as gas hydrate-bearing sand intervals along the length of the channel.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.10.008","issn":"00253227","usgsCitation":"Riedel, M., Collett, T.S., and Shankar, U., 2011, Documenting channel features associated with gas hydrates in the Krishna-Godavari Basin, offshore India: Marine Geology, v. 279, no. 1-4, p. 1-11, https://doi.org/10.1016/j.margeo.2010.10.008.","productDescription":"11 p.","startPage":"1","endPage":"11","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":245739,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217773,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2010.10.008"}],"country":"India","otherGeospatial":"Krishna–Godavari Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              80.9912109375,\n              15.114552871944115\n            ],\n            [\n              81.82617187499999,\n              13.66733825965496\n            ],\n            [\n              84.990234375,\n              15.580710739162123\n            ],\n            [\n              83.671875,\n              16.804541076383455\n            ],\n            [\n              80.9912109375,\n              15.114552871944115\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"279","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0387e4b0c8380cd50506","contributors":{"authors":[{"text":"Riedel, M.","contributorId":65268,"corporation":false,"usgs":true,"family":"Riedel","given":"M.","email":"","affiliations":[],"preferred":false,"id":458191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":458193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shankar, Ude","contributorId":80033,"corporation":false,"usgs":false,"family":"Shankar","given":"Ude","email":"","affiliations":[],"preferred":false,"id":458192,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036493,"text":"70036493 - 2011 - Mineralogic sources of metals in leachates from the weathering of sedex, massive sulfide, and vein deposit mining wastes","interactions":[],"lastModifiedDate":"2017-06-30T09:35:40","indexId":"70036493","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mineralogic sources of metals in leachates from the weathering of sedex, massive sulfide, and vein deposit mining wastes","docAbstract":"Weathered mine waste consists of oxidized primary minerals and chemically unstable secondary phases that can be sources of readily soluble metals and acid rock drainage. Elevated concentrations of metals such as Cd, Cu, Fe, Mn, Ni, Pb, and Zn are observed in deionized water-based leachate solutions derived from complex sedex and Cu-Pb-Zn mine wastes. Leachate (USGS FLT) from the Elizabeth mine, a massive sulfide deposit, has a pH of 3.4 and high concentrations of Al (16700 ug/L), Cu (440 ug/L), and Zn (8620 ug/L). Leachate from the sedex Faro mine has a pH of 3.5 and high concentrations of Al (2040 ug/L), Cu (1930 ug/L), Pb (2080 ug/L), and Zn (52900 ug/L). In contrast, higher-pH leachates produced from tailings of polymetallic vein deposits have order of magnitude lower metal concentrations. These data indicate that highly soluble secondary mineral phases exist at the surface of waste material where the samples were collected. Sulfide minerals from all sites exhibit differential degrees of weathering, from dissolution etched grain rims, to rinds of secondary minerals, to skeletal remnants. These microscale mineral-dissolution textures enhance weathering and metal teachability of waste material. Besides the formation of secondary minerals, sulfide grains from dried tailings samples may be coated by amorphous Fe-Al-Si minerals that also adsorb metals such as Cu, Ni, and Zn.","largerWorkTitle":"SME Annual Meeting and Exhibit and CMA 113th National Western Mining Conference 2011","conferenceTitle":"SME Annual Meeting and Exhibit and CMA 113th National Western Mining Conference 2011","conferenceDate":"28 February 2011 through 2 March 2011","conferenceLocation":"Denver, CO","language":"English","isbn":"9781617829727","usgsCitation":"Diehl, S.F., Hageman, P., Seal, R., Piatak, N., and Lowers, H., 2011, Mineralogic sources of metals in leachates from the weathering of sedex, massive sulfide, and vein deposit mining wastes, <i>in</i> SME Annual Meeting and Exhibit and CMA 113th National Western Mining Conference 2011, Denver, CO, 28 February 2011 through 2 March 2011, p. 792-796.","startPage":"792","endPage":"796","numberOfPages":"5","ipdsId":"IP-026408","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":246485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5a8de4b0c8380cd6ef63","contributors":{"authors":[{"text":"Diehl, S. F.","contributorId":84780,"corporation":false,"usgs":true,"family":"Diehl","given":"S.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":456409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hageman, P.  L. 0000-0002-3440-2150","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":27459,"corporation":false,"usgs":true,"family":"Hageman","given":"P.  L.","affiliations":[],"preferred":false,"id":456407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seal, R.R. II","contributorId":102097,"corporation":false,"usgs":true,"family":"Seal","given":"R.R.","suffix":"II","email":"","affiliations":[],"preferred":false,"id":456410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatak, N.M. 0000-0002-1973-8537","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":46636,"corporation":false,"usgs":true,"family":"Piatak","given":"N.M.","affiliations":[],"preferred":false,"id":456408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, H. 0000-0001-5360-9264","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":9512,"corporation":false,"usgs":true,"family":"Lowers","given":"H.","affiliations":[],"preferred":false,"id":456406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036500,"text":"70036500 - 2011 - Coordinating standards and applications for optical water quality sensor networks","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036500","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Coordinating standards and applications for optical water quality sensor networks","docAbstract":"Joint USGS-CUAHSI Workshop: In Situ Optical Water Quality Sensor Networks; Shepherdstown, West Virginia, 8-10 June 2011; Advanced in situ optical water quality sensors and new techniques for data analysis hold enormous promise for advancing scientific understanding of aquatic systems through measurements of important biogeochemical parameters at the time scales over which they vary. High-frequency and real-time water quality data also provide the opportunity for early warning of water quality deterioration, trend detection, and science-based decision support. However, developing networks of optical sensors in freshwater systems that report reliable and comparable data across and between sites remains a challenge to the research and monitoring community. To address this, the U.S. Geological Survey (USGS) and the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), convened a 3-day workshop to explore ways to coordinate development of standards and applications for optical sensors, as well as handling, storage, and analysis of the continuous data they produce.","largerWorkTitle":"Eos","language":"English","doi":"10.1029/2011EO300003","issn":"00963941","usgsCitation":"Bergamaschi, B., and Pellerin, B., 2011, Coordinating standards and applications for optical water quality sensor networks, <i>in</i> Eos, v. 92, no. 30, https://doi.org/10.1029/2011EO300003.","startPage":"251","costCenters":[],"links":[{"id":475324,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011eo300003","text":"Publisher Index Page"},{"id":218536,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011EO300003"},{"id":246556,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"30","noUsgsAuthors":false,"publicationDate":"2011-07-26","publicationStatus":"PW","scienceBaseUri":"5059fbf0e4b0c8380cd4e043","contributors":{"authors":[{"text":"Bergamaschi, B. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":47219,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"B.","affiliations":[],"preferred":false,"id":456445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, B.","contributorId":37047,"corporation":false,"usgs":true,"family":"Pellerin","given":"B.","email":"","affiliations":[],"preferred":false,"id":456444,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036150,"text":"70036150 - 2011 - Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA)","interactions":[],"lastModifiedDate":"2021-01-26T21:05:33.609315","indexId":"70036150","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA)","docAbstract":"<p><span>Identifying materials by measuring and analyzing their reflectance spectra has been an important method in analytical chemistry for decades. Airborne and space-based imaging spectrometers allow scientists to detect materials and map their distributions across the landscape. With new satellite-borne hyperspectral sensors planned for the future, for example, HYSPIRI (HYPerspectral InfraRed Imager), robust methods are needed to fully exploit the information content of hyperspectral remote sensing data. A method of identifying and mapping materials using spectral feature based analysis of reflectance data in an expert-system framework called MICA (Material Identification and Characterization Algorithm) is described in this paper. The core concepts and calculations of MICA are presented. A MICA command file has been developed and applied to map minerals in the full-country coverage of the 2007 Afghanistan HyMap hyperspectral data.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011","conferenceDate":"July 24-29, 2011","conferenceLocation":"Vancouver, BC","language":"English","publisher":"Institute of Electrical and Electronic Engineers","doi":"10.1109/IGARSS.2011.6049370","isbn":"9781457710056","usgsCitation":"Kokaly, R.F., King, T.V., and Hoefen, T.M., 2011, Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA), <i>in</i> International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, BC, July 24-29, 2011, p. 1569-1572, https://doi.org/10.1109/IGARSS.2011.6049370.","productDescription":"4 p.","startPage":"1569","endPage":"1572","costCenters":[],"links":[{"id":475426,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1272791","text":"External Repository"},{"id":246565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218544,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/IGARSS.2011.6049370"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a507fe4b0c8380cd6b70d","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":454460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, T. V. V.","contributorId":6192,"corporation":false,"usgs":true,"family":"King","given":"T.","email":"","middleInitial":"V. V.","affiliations":[],"preferred":false,"id":454458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":454459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036147,"text":"70036147 - 2011 - The application of prototype point processes for the summary and description of California wildfires","interactions":[],"lastModifiedDate":"2021-01-27T13:22:30.851704","indexId":"70036147","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2477,"text":"Journal of Time Series Analysis","active":true,"publicationSubtype":{"id":10}},"title":"The application of prototype point processes for the summary and description of California wildfires","docAbstract":"<p><span>A method for summarizing repeated realizations of a space‐time marked point process, known as prototyping, is discussed and applied to catalogues of wildfires in California. Prototype summaries are constructed for varying time intervals using California wildfire data from 1990 to 2006. Previous work on prototypes for temporal and space‐time point processes is extended here to include methods for computing prototypes with marks and the incorporation of prototype summaries into hierarchical clustering algorithms, the latter of which is used to delineate fire seasons in California. Other results include summaries of patterns in the spatial‐temporal distribution of wildfires within each wildfire season.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1467-9892.2011.00734.x","issn":"01439782","usgsCitation":"Nichols, K., Schoenberg, F., Keeley, J.E., Bray, A., and Diez, D., 2011, The application of prototype point processes for the summary and description of California wildfires: Journal of Time Series Analysis, v. 32, no. 4, p. 420-429, https://doi.org/10.1111/j.1467-9892.2011.00734.x.","productDescription":"10 p.","startPage":"420","endPage":"429","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":246498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218483,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1467-9892.2011.00734.x"}],"country":"United 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,{"id":70036146,"text":"70036146 - 2011 - Evaluation of a black-footed ferret resource utilization function model","interactions":[],"lastModifiedDate":"2021-01-27T17:49:53.699457","indexId":"70036146","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":"Evaluation of a black-footed ferret resource utilization function model","docAbstract":"<p><span>Resource utilization function (RUF) models permit evaluation of potential habitat for endangered species; ideally such models should be evaluated before use in management decision‐making. We evaluated the predictive capabilities of a previously developed black‐footed ferret (</span><i>Mustela nigripes</i><span>) RUF. Using the population‐level RUF, generated from ferret observations at an adjacent yet distinct colony, we predicted the distribution of ferrets within a black‐tailed prairie dog (</span><i>Cynomys ludovicianus</i><span>) colony in the Conata Basin, South Dakota, USA. We evaluated model performance, using data collected during post‐breeding spotlight surveys (2007–2008) by assessing model agreement via weighted compositional analysis and count‐metrics. Compositional analysis of home range use and colony‐level availability, and core area use and home range availability, demonstrated ferret selection of the predicted Very high and High occurrence categories in 2007 and 2008. Simple count‐metrics corroborated these findings and suggested selection of the Very high category in 2007 and the Very high and High categories in 2008. Collectively, these results suggested that the RUF was useful in predicting occurrence and intensity of space use of ferrets at our study site, the 2 objectives of the RUF. Application of this validated RUF would increase the resolution of habitat evaluations, permitting prediction of the distribution of ferrets within distinct colonies. Additional model evaluation at other sites, on other black‐tailed prairie dog colonies of varying resource configuration and size, would increase understanding of influences upon model performance and the general utility of the RUF.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.130","issn":"0022541X","usgsCitation":"Eads, D., Millspaugh, J., Biggins, D.E., Jachowski, D., and Livieri, T., 2011, Evaluation of a black-footed ferret resource utilization function model: Journal of Wildlife Management, v. 75, no. 5, p. 1155-1163, https://doi.org/10.1002/jwmg.130.","productDescription":"9 p.","startPage":"1155","endPage":"1163","costCenters":[],"links":[{"id":246497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218482,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.130"}],"country":"United States","state":"South Dakota","otherGeospatial":"Buffalo Gap National Grasslands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.55712890625,\n              42.99661231842139\n            ],\n            [\n              -101.392822265625,\n              42.99661231842139\n            ],\n            [\n              -101.392822265625,\n              44.28453670601888\n            ],\n            [\n              -103.55712890625,\n              44.28453670601888\n            ],\n            [\n              -103.55712890625,\n              42.99661231842139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c2be4b0c8380cd52a72","contributors":{"authors":[{"text":"Eads, D.A.","contributorId":68973,"corporation":false,"usgs":true,"family":"Eads","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":454438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millspaugh, J.J.","contributorId":99105,"corporation":false,"usgs":true,"family":"Millspaugh","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":454441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":454439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jachowski, D.S.","contributorId":67309,"corporation":false,"usgs":true,"family":"Jachowski","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":454437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Livieri, T.M.","contributorId":96910,"corporation":false,"usgs":true,"family":"Livieri","given":"T.M.","affiliations":[],"preferred":false,"id":454440,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036145,"text":"70036145 - 2011 - Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake","interactions":[],"lastModifiedDate":"2021-01-27T18:28:49.065243","indexId":"70036145","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake","docAbstract":"<p><span>Since the work of Kanamori and Given (1981), it has been recognized that shallow, pure dip‐slip earthquakes excite long‐period surface waves such that it is difficult to independently constrain the moment (</span><i>M</i><sub>0</sub><span>) and the dip (</span><i>δ</i><span>) of the source mechanism, with only the product&nbsp;</span><i>M</i><sub>0</sub><span>&nbsp;sin(2</span><i>δ</i><span>) being well constrained. Because of this, it is often assumed that the primary discrepancies between the moments of shallow, thrust earthquakes are due to this moment‐dip tradeoff. In this work, we quantify how severe this moment‐dip tradeoff is depending on the depth of the earthquake, the station distribution, the closeness of the mechanism to pure dip‐slip, and the quality of the data. We find that both long‐period Rayleigh and Love wave modes have moment‐dip resolving power even for shallow events, especially when stations are close to certain azimuths with respect to mechanism strike and when source depth is well determined. We apply these results to USGS W phase inversions of the recent M9.0 Tohoku, Japan earthquake and estimate the likely uncertainties in dip and moment associated with the moment‐ dip tradeoff. After discussing some of the important sources of moment and dip error, we suggest two methods for potentially improving this uncertainty.</span></p>","largerWorkTitle":"Geophysical Research Letters","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL049129","issn":"00948276","usgsCitation":"Tsai, V., Hayes, G.P., and Duputel, Z., 2011, Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake: Geophysical Research Letters, v. 38, no. 20, L00G17, 6 p., https://doi.org/10.1029/2011GL049129.","productDescription":"L00G17, 6 p.","costCenters":[],"links":[{"id":475422,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049129","text":"Publisher Index Page"},{"id":246496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049129"}],"volume":"38","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-10-25","publicationStatus":"PW","scienceBaseUri":"5059fa0ee4b0c8380cd4d8ee","contributors":{"authors":[{"text":"Tsai, V.C.","contributorId":41661,"corporation":false,"usgs":true,"family":"Tsai","given":"V.C.","email":"","affiliations":[],"preferred":false,"id":454435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":842,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":454436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duputel, Z.","contributorId":37587,"corporation":false,"usgs":true,"family":"Duputel","given":"Z.","affiliations":[],"preferred":false,"id":454434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033945,"text":"70033945 - 2011 - Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033945","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","docAbstract":"Genetic data are increasingly being used in conservation planning for declining species. We sampled both the ecological and distributional limits of the foothill yellow-legged frog, Rana boylii to characterize mitochondrial DNA (mtDNA) variation in this declining, riverine amphibian. We evaluated 1525 base pairs (bp) of cytochrome b and ND2 fragments for 77 individuals from 34 localities using phylogenetic and population genetic analyses. We constructed gene trees using maximum likelihood and Bayesian inference, and quantified genetic variance (using AMOVA and partial Mantel tests) within and among hydrologic regions and river basins. Several moderately supported, geographically-cohesive mtDNA clades were recovered for R. boylii. While genetic variation was low among populations in the largest, most inclusive clade, samples from localities at the edges of the geographic range demonstrated substantial genetic divergence from each other and from more central populations. Hydrologic regions and river basins, which represent likely dispersal corridors for R. boylii, accounted for significant levels of genetic variation. These results suggest that both rivers and larger hydrologic and geographic regions should be used in conservation planning for R. boylii. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10592-010-0138-0","issn":"15660621","usgsCitation":"Lind, A., Spinks, P., Fellers, G.M., and Shaffer, H., 2011, Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers: Conservation Genetics, v. 12, no. 1, p. 269-284, https://doi.org/10.1007/s10592-010-0138-0.","startPage":"269","endPage":"284","numberOfPages":"16","costCenters":[],"links":[{"id":214509,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-010-0138-0"},{"id":242243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-09","publicationStatus":"PW","scienceBaseUri":"505a94aae4b0c8380cd81546","contributors":{"authors":[{"text":"Lind, A.J.","contributorId":46763,"corporation":false,"usgs":true,"family":"Lind","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":443325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spinks, P.Q.","contributorId":13454,"corporation":false,"usgs":true,"family":"Spinks","given":"P.Q.","email":"","affiliations":[],"preferred":false,"id":443323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fellers, G. M.","contributorId":82653,"corporation":false,"usgs":true,"family":"Fellers","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":443326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, H.B.","contributorId":32106,"corporation":false,"usgs":true,"family":"Shaffer","given":"H.B.","email":"","affiliations":[],"preferred":false,"id":443324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036144,"text":"70036144 - 2011 - Thorium abundances of basalt ponds in South Pole-Aitken basin: Insights into the composition and evolution of the far side lunar mantle","interactions":[],"lastModifiedDate":"2019-02-18T08:49:06","indexId":"70036144","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":"Thorium abundances of basalt ponds in South Pole-Aitken basin: Insights into the composition and evolution of the far side lunar mantle","docAbstract":"<p><span>Imbrian-aged basalt ponds, located on the floor of South Pole-Aitken (SPA) basin, are used to provide constraints on the composition and evolution of the far side lunar mantle. We use forward modeling of the Lunar Prospector Gamma Ray Spectrometer thorium data, to suggest that at least five different and distinct portions of the far side lunar mantle contain little or no thorium as of the Imbrian Period. We also use spatial correlations between local thorium enhancements and nonmare material on top of the basalt ponds to support previous assertions that lower crustal materials exposed in SPA basin have elevated thorium abundances, consistent with noritic to gabbronoritic lithologies. We suggest that the lower crust on the far side of the Moon experienced multiple intrusions of thorium-rich basaltic magmas, prior to the formation of SPA basin. The fact that many of the ponds on the lunar far side have elevated titanium abundances indicates that the far side of the Moon experienced extensive fractional crystallization that likely led to the formation of a KREEP-like component. However, because the Imbrian-aged basalts contain no signs of elevated thorium, we propose that the SPA impact event triggered the transport of a KREEP-like component from the lunar far side and concentrated it on the nearside of the Moon. Because of the correlation between basaltic ponds and basins within SPA, we suggest that Imbrian-aged basaltic volcanism on the far side of the Moon was driven by basin-induced decompressional melting.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JE003723","issn":"01480227","usgsCitation":"Hagerty, J., Lawrence, D.J., and Hawke, B.R., 2011, Thorium abundances of basalt ponds in South Pole-Aitken basin: Insights into the composition and evolution of the far side lunar mantle: Journal of Geophysical Research E: Planets, v. 116, no. 6, p. 1-23, https://doi.org/10.1029/2010JE003723.","productDescription":"E06001; 23 p.","startPage":"1","endPage":"23","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":246463,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South Pole-Aitken basin","volume":"116","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505bb2e2e4b08c986b325a68","contributors":{"authors":[{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":454431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, D. J.","contributorId":84952,"corporation":false,"usgs":false,"family":"Lawrence","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":454433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawke, B. R.","contributorId":59591,"corporation":false,"usgs":false,"family":"Hawke","given":"B.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":454432,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":"<p><span>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&nbsp;</span><i>μ</i><span>m) 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.</span></p>","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":70033938,"text":"70033938 - 2011 - Probabilistic fault displacement hazards for the southern san andreas fault using scenarios and empirical slips","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033938","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic fault displacement hazards for the southern san andreas fault using scenarios and empirical slips","docAbstract":"We apply a probabilistic method to develop fault displacement hazard maps and profiles for the southern San Andreas Fault. Two slip models are applied: (1) scenario slip, defined by the ShakeOut rupture model, and (2) empirical slip, calculated using regression equations relating global slip to earthquake magnitude and distance along the fault. The hazard is assessed using a range of magnitudes defined by the Uniform California Earthquake Rupture Forecast and the ShakeOut. For hazard mapping we develop a methodology to partition displacement among multiple fault branches basedon geological observations. Estimated displacement hazard extends a few kilometers wide in areas of multiple mapped fault branches and poor mapping accuracy. Scenario and empirical displacement hazard differs by a factor of two or three, particularly along the southernmost section of the San Andreas Fault. We recommend the empirical slip model with site-specific geological data to constrain uncertainties for engineering applications. ?? 2011, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.3574226","issn":"87552930","usgsCitation":"Chen, R., and Petersen, M., 2011, Probabilistic fault displacement hazards for the southern san andreas fault using scenarios and empirical slips: Earthquake Spectra, v. 27, no. 2, p. 293-313, https://doi.org/10.1193/1.3574226.","startPage":"293","endPage":"313","numberOfPages":"21","costCenters":[],"links":[{"id":214420,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.3574226"},{"id":242144,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-01","publicationStatus":"PW","scienceBaseUri":"505a8c8fe4b0c8380cd7e763","contributors":{"authors":[{"text":"Chen, R.","contributorId":23312,"corporation":false,"usgs":true,"family":"Chen","given":"R.","email":"","affiliations":[],"preferred":false,"id":443292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, M.D.","contributorId":51319,"corporation":false,"usgs":false,"family":"Petersen","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":443293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}