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,{"id":98134,"text":"pp17653 - 2010 - Mineral-deposit models for northeast Asia, Chapter 3 in <i>Metallogenesis and tectonics of northeast Asia</i>","interactions":[],"lastModifiedDate":"2012-11-28T12:56:28","indexId":"pp17653","displayToPublicDate":"2010-01-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1765-3","title":"Mineral-deposit models for northeast Asia, Chapter 3 in <i>Metallogenesis and tectonics of northeast Asia</i>","docAbstract":"The major purposes of this chapter are to provide (1) an overview of the regional geology, tectonics, and metallogenesis of Northeast Asia for readers who are unfamiliar with the region, (2) a general scientific introduction to the succeeding chapters of this volume, and (3) an overview of the methodology of metallogenic and tectonic analysis used in this study. We also describe how a high-quality metallogenic and tectonic analysis, including construction of an associated metallogenic-tectonic model will greatly benefit other mineral resource studies, including synthesis of mineral-deposit models; improve prediction of undiscovered mineral deposit as part of a quantitative mineral-resource-assessment studies; assist land-use and mineral-exploration planning; improve interpretations of the origins of host rocks, mineral deposits, and metallogenic belts, and suggest new research. \n\nResearch on the metallogenesis and tectonics of such major regions as Northeast Asia (eastern Russia, Mongolia, northern China, South Korea, and Japan) and the Circum-North Pacific (the Russian Far East, Alaska, and the Canadian Cordillera) requires a complex methodology including (1) definitions of key terms, (2) compilation of a regional geologic base map that can be interpreted according to modern tectonic concepts and definitions, (3) compilation of a mineral-deposit database that enables a determination of mineral-deposit models and clarification of the relations of deposits to host rocks and tectonic origins, (4) synthesis of a series of mineral-deposit models that characterize the known mineral deposits and inferred undiscovered deposits in the region, (5) compilation of a series of metallogenic-belt belts constructed on the regional geologic base map, and (6) construction of a unified metallogenic and tectonic model. \n\nThe summary of regional geology and metallogenesis presented here is based on publications of the major international collaborative studies of the metallogenesis and tectonics of Northeast Asia that have been led by the U.S. Geological Survey (USGS). 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,{"id":98143,"text":"pp1765C - 2010 - Appendix C: Summary of Major Metallogenic Belts in Northeast Asia (the Russian Far East, Yakutia, Siberia, Transbaikalia, Northern China, Mongolia, South Korea, and Japan) ","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"pp1765C","displayToPublicDate":"2010-01-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1765","chapter":"C","title":"Appendix C: Summary of Major Metallogenic Belts in Northeast Asia (the Russian Far East, Yakutia, Siberia, Transbaikalia, Northern China, Mongolia, South Korea, and Japan) ","docAbstract":"The major purposes of this chapter are to provide (1) an overview of the regional geology, tectonics, and metallogenesis of Northeast Asia for readers who are unfamiliar with the region, (2) a general scientific introduction to the succeeding chapters of this volume, and (3) an overview of the methodology of metallogenic and tectonic analysis used in this study. 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We also describe how a high-quality metallogenic and tectonic analysis, including construction of an associated metallogenic-tectonic model will greatly benefit other mineral resource studies, including synthesis of mineral-deposit models; improve prediction of undiscovered mineral deposit as part of a quantitative mineral-resource-assessment studies; assist land-use and mineral-exploration planning; improve interpretations of the origins of host rocks, mineral deposits, and metallogenic belts, and suggest new research. \r\n\r\nResearch on the metallogenesis and tectonics of such major regions as Northeast Asia (eastern Russia, Mongolia, northern China, South Korea, and Japan) and the Circum-North Pacific (the Russian Far East, Alaska, and the Canadian Cordillera) requires a complex methodology including (1) definitions of key terms, (2) compilation of a regional geologic base map that can be interpreted according to modern tectonic concepts and definitions, (3) compilation of a mineral-deposit database that enables a determination of mineral-deposit models and clarification of the relations of deposits to host rocks and tectonic origins, (4) synthesis of a series of mineral-deposit models that characterize the known mineral deposits and inferred undiscovered deposits in the region, (5) compilation of a series of metallogenic-belt belts constructed on the regional geologic base map, and (6) construction of a unified metallogenic and tectonic model. \r\n\r\nThe summary of regional geology and metallogenesis presented here is based on publications of the major international collaborative studies of the metallogenesis and tectonics of Northeast Asia that have been led by the U.S. Geological Survey (USGS). These studies have produced two broad types of publications (1) a series of regional geologic, mineral-deposit, and metallogenic-belt maps, with companion descriptions of the region, and (2) a suite of metallogenic and tectonic analyses of the same region. \r\n\r\nThe study area consists of eastern Russia (most of eastern Siberia and the Russian Far East), Mongolia, northern China, South Korea, Japan, and adjacent offshore areas. The major cooperative agencies are the Russian Academy of Sciences; the Academy of Sciences of the Sakha Republic (Yakutia); VNIIOkeangeologia and Ministry of Natural Resources of the Russian Federation; the Mongolian Academy of Sciences; the Mongolian University of Science and Technology; the Mongolian National University; Jilin University, Changchun, People's Republic of China, the China Geological Survey; the Korea Institute of Geosciences and Mineral Resources; the Geological Survey of Japan/AIST; the University of Texas, Arlington, and the U.S. Geological Survey (USGS). \r\n\r\nThis study builds on and extends the data and interpretations from a previous project on the Major Mineral Deposits, Metallogenesis, and Tectonics of the Russian Far East, Alaska, and the Canadian Cordillera conducted by the USGS, the Russian Academy of Sciences, the Alaska Division of Geological and Geophysical Surveys, and the Geological Survey of Canada. The major products of this project were summarized by Naumova and others (2006) and are described in appendix A. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1765","collaboration":"Prepared in collaboration with the Russian Academy of Sciences, Mongolian Academy of Sciences, Korean Institute of Geosciences and Mineral Resources, Geological Survey of Japan/AIST, and Jilin University","usgsCitation":"2010, Metallogenesis and Tectonics of Northeast Asia (Supersedes USGS Open-File Report 2007-1183): U.S. Geological Survey Professional Paper 1765, iv, 630 p., https://doi.org/10.3133/pp1765.","productDescription":"iv, 630 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1765.jpg"},{"id":13387,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1765/index.html","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75,30 ], [ 75,82 ], [ 144,82 ], [ 144,30 ], [ 75,30 ] ] ] } } ] }","edition":"Supersedes USGS Open-File Report 2007-1183","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e808","contributors":{"editors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":505744,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":98132,"text":"pp17651 - 2010 - Introduction, Chapter 1 in <i>Metallogenesis and tectonics of northeast Asia</i>","interactions":[],"lastModifiedDate":"2012-11-28T12:52:36","indexId":"pp17651","displayToPublicDate":"2010-01-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1765-1","title":"Introduction, Chapter 1 in <i>Metallogenesis and tectonics of northeast Asia</i>","docAbstract":"The major purposes of this chapter are to provide (1) an overview of the regional geology, tectonics, and metallogenesis of Northeast Asia for readers who are unfamiliar with the region, (2) a general scientific introduction to the succeeding chapters of this volume, and (3) an overview of the methodology of metallogenic and tectonic analysis used in this study. We also describe how a high-quality metallogenic and tectonic analysis, including construction of an associated metallogenic-tectonic model will greatly benefit other mineral resource studies, including synthesis of mineral-deposit models; improve prediction of undiscovered mineral deposit as part of a quantitative mineral-resource-assessment studies; assist land-use and mineral-exploration planning; improve interpretations of the origins of host rocks, mineral deposits, and metallogenic belts, and suggest new research. \n\nResearch on the metallogenesis and tectonics of such major regions as Northeast Asia (eastern Russia, Mongolia, northern China, South Korea, and Japan) and the Circum-North Pacific (the Russian Far East, Alaska, and the Canadian Cordillera) requires a complex methodology including (1) definitions of key terms, (2) compilation of a regional geologic base map that can be interpreted according to modern tectonic concepts and definitions, (3) compilation of a mineral-deposit database that enables a determination of mineral-deposit models and clarification of the relations of deposits to host rocks and tectonic origins, (4) synthesis of a series of mineral-deposit models that characterize the known mineral deposits and inferred undiscovered deposits in the region, (5) compilation of a series of metallogenic-belt belts constructed on the regional geologic base map, and (6) construction of a unified metallogenic and tectonic model. \n\nThe summary of regional geology and metallogenesis presented here is based on publications of the major international collaborative studies of the metallogenesis and tectonics of Northeast Asia that have been led by the U.S. Geological Survey (USGS). These studies have produced two broad types of publications (1) a series of regional geologic, mineral-deposit, and metallogenic-belt maps, with companion descriptions of the region, and (2) a suite of metallogenic and tectonic analyses of the same region. \n\nThe study area consists of eastern Russia (most of eastern Siberia and the Russian Far East), Mongolia, northern China, South Korea, Japan, and adjacent offshore areas. The major cooperative agencies are the Russian Academy of Sciences; the Academy of Sciences of the Sakha Republic (Yakutia); VNIIOkeangeologia and Ministry of Natural Resources of the Russian Federation; the Mongolian Academy of Sciences; the Mongolian University of Science and Technology; the Mongolian National University; Jilin University, Changchun, People's Republic of China, the China Geological Survey; the Korea Institute of Geosciences and Mineral Resources; the Geological Survey of Japan/AIST; the University of Texas, Arlington, and the U.S. Geological Survey (USGS). \n\nThis study builds on and extends the data and interpretations from a previous project on the Major Mineral Deposits, Metallogenesis, and Tectonics of the Russian Far East, Alaska, and the Canadian Cordillera conducted by the USGS, the Russian Academy of Sciences, the Alaska Division of Geological and Geophysical Surveys, and the Geological Survey of Canada. The major products of this project were summarized by Naumova and others (2006) and are described in appendix A.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Metallogenesis and tectonics of northeast Asia (Professional Paper 1765)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston,VA","doi":"10.3133/pp17651","collaboration":"This report is Chapter 1 in <i>Metallogenesis and tectonics of northeast Asia</i>. For more information, see: <a href=\"http://pubs.usgs.gov/pp/1765/\" target=\"_blank\">Professional Paper 1765</a>.","usgsCitation":"Parfenov, L.M., Badarch, G., Berzin, N.A., Hwang, D., Khanchuk, A.I., Kuzmin, M.I., Nokleberg, W.J., Obolenskiy, A., Ogasawara, M., Prokopiev, A.V., Rodionov, S.M., Smelov, A., and Yan, H., 2010, Introduction, Chapter 1 in <i>Metallogenesis and tectonics of northeast Asia</i>: U.S. Geological Survey Professional Paper 1765-1, 36 p., https://doi.org/10.3133/pp17651.","productDescription":"36 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1765_1.jpg"},{"id":13374,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1765/index.html","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75,30 ], [ 75,82 ], [ 144,82 ], [ 144,30 ], [ 75,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cce4b07f02db5441e2","contributors":{"authors":[{"text":"Parfenov, Leonid M.","contributorId":59112,"corporation":false,"usgs":true,"family":"Parfenov","given":"Leonid","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Badarch, Gombosuren","contributorId":6940,"corporation":false,"usgs":true,"family":"Badarch","given":"Gombosuren","email":"","affiliations":[],"preferred":false,"id":304282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berzin, Nikolai A.","contributorId":33793,"corporation":false,"usgs":true,"family":"Berzin","given":"Nikolai","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hwang, Duk-Hwan","contributorId":43804,"corporation":false,"usgs":true,"family":"Hwang","given":"Duk-Hwan","email":"","affiliations":[],"preferred":false,"id":304289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Khanchuk, Alexander I.","contributorId":19585,"corporation":false,"usgs":true,"family":"Khanchuk","given":"Alexander","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":304284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuzmin, Mikhail I.","contributorId":95956,"corporation":false,"usgs":true,"family":"Kuzmin","given":"Mikhail","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":304293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":304281,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Obolenskiy, Alexander A.","contributorId":19632,"corporation":false,"usgs":true,"family":"Obolenskiy","given":"Alexander A.","affiliations":[],"preferred":false,"id":304285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ogasawara, Masatsugu","contributorId":17638,"corporation":false,"usgs":true,"family":"Ogasawara","given":"Masatsugu","email":"","affiliations":[],"preferred":false,"id":304283,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prokopiev, Andrei V.","contributorId":20825,"corporation":false,"usgs":true,"family":"Prokopiev","given":"Andrei","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":304286,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodionov, Sergey M.","contributorId":64726,"corporation":false,"usgs":true,"family":"Rodionov","given":"Sergey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304291,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smelov, Alexander P.","contributorId":30685,"corporation":false,"usgs":true,"family":"Smelov","given":"Alexander P.","affiliations":[],"preferred":false,"id":304287,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Yan, Hongquan","contributorId":81559,"corporation":false,"usgs":true,"family":"Yan","given":"Hongquan","email":"","affiliations":[],"preferred":false,"id":304292,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70073507,"text":"70073507 - 2010 - Glacier microseismicity","interactions":[],"lastModifiedDate":"2018-07-07T18:01:54","indexId":"70073507","displayToPublicDate":"2010-01-22T12:54:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Glacier microseismicity","docAbstract":"We present a framework for interpreting small glacier seismic events based on data collected near the center of Bering Glacier, Alaska, in spring 2007. We find extremely high microseismicity rates (as many as tens of events per minute) occurring largely within a few kilometers of the receivers. A high-frequency class of seismicity is distinguished by dominant frequencies of 20–35 Hz and impulsive arrivals. A low-frequency class has dominant frequencies of 6–15 Hz, emergent onsets, and longer, more monotonic codas. A bimodal distribution of 160,000 seismic events over two months demonstrates that the classes represent two distinct populations. This is further supported by the presence of hybrid waveforms that contain elements of both event types. The high-low-hybrid paradigm is well established in volcano seismology and is demonstrated by a comparison to earthquakes from Augustine Volcano. We build on these parallels to suggest that fluid-induced resonance is likely responsible for the low-frequency glacier events and that the hybrid glacier events may be caused by the rush of water into newly opening pathways.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30606.1","usgsCitation":"West, M., Larsen, C., Truffer, M., O’Neel, S., and LeBlanc, L., 2010, Glacier microseismicity: Geology, v. 38, no. 4, p. 319-322, https://doi.org/10.1130/G30606.1.","productDescription":"4 p.","startPage":"319","endPage":"322","ipdsId":"IP-017166","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":281376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30606.1"},{"id":281378,"type":{"id":11,"text":"Document"},"url":"https://geology.geoscienceworld.org/content/38/4/319"},{"id":281379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Glacier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ] ] ] } } ] }","volume":"38","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5ef0e4b0b290850fbff5","contributors":{"authors":[{"text":"West, Michael E.","contributorId":91830,"corporation":false,"usgs":true,"family":"West","given":"Michael E.","affiliations":[],"preferred":false,"id":488859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Christopher F.","contributorId":107178,"corporation":false,"usgs":true,"family":"Larsen","given":"Christopher F.","affiliations":[],"preferred":false,"id":488860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Truffer, Martin","contributorId":48065,"corporation":false,"usgs":true,"family":"Truffer","given":"Martin","email":"","affiliations":[],"preferred":false,"id":488856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":488858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBlanc, Laura","contributorId":49700,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Laura","email":"","affiliations":[],"preferred":false,"id":488857,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70170008,"text":"70170008 - 2010 - Current status of brown bears in the Manasalu Conservation Area, Nepal","interactions":[],"lastModifiedDate":"2016-04-01T12:36:16","indexId":"70170008","displayToPublicDate":"2010-01-21T13:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Current status of brown bears in the Manasalu Conservation Area, Nepal","docAbstract":"<p><span>Although brown bears (</span><i>Ursus arctos</i><span>) are rare in the Himalayan region, populations have been documented in alpine habitats of Pakistan and India. Brown bears were once known to exist in both Nepal and Bhutan, but current information on their numbers and distributions was lacking. We document the presence of brown bears in the Manasalu Conservation Area (MCA) in Nepal using field surveys and interviews with local people. We were able to confirm the existence of a remnant population based on finding bear scat and locations where bears excavated for Himalayan marmots (</span><i>Marmota himalayana</i><span>). Based on interviews with local people, it appeared that the presence of brown bears in the area is relatively recent and likely a result of immigration of bears from the Tibetan Autonomous Region. Interviews with local herders also indicated that livestock losses from brown bear predation amounted to approximately 318,000 Nepali rupees (US $4,240) from February 2006 through July 2008.</span></p>","language":"English","publisher":"International Association for Bear Research and Management","publisherLocation":"New York, NY","doi":"10.2192/09GR029.1","collaboration":"Ecology and Conservation Group, Institute of Natural Sciences, Massey University\nWildlife Institute of India, PO Box 18, Chandrabani, Dehradun 248001, Uttarakhand, India\nNew Zealand and The Biodiversity Research and Training Forum, Nepal","usgsCitation":"Aryal, A., Sathyakumar, S., and Schwartz, C.C., 2010, Current status of brown bears in the Manasalu Conservation Area, Nepal: Ursus, v. 21, no. 1, p. 109-114, https://doi.org/10.2192/09GR029.1.","productDescription":"16 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C.","contributorId":124574,"corporation":false,"usgs":false,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":5119,"text":"Retired from U.S. Geological Survey, Interagency Grizzly Bear Study Team, Northern Rocky Mountain Science Center, 2327 University Way, suite 2, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":625867,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70118918,"text":"70118918 - 2010 - Reproductive isolation and the expansion of an invasive hybrid swarm","interactions":[],"lastModifiedDate":"2014-07-31T10:16:39","indexId":"70118918","displayToPublicDate":"2010-01-20T10:15:26","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive isolation and the expansion of an invasive hybrid swarm","docAbstract":"Biological invasions involving hybridization proceed according to prezygotic and postzygotic reproductive isolating mechanisms. Yet few comparisons of reproductive isolation have been carried out to understand how different mechanisms prevent or promote invasions involving hybridization. Here we present a study of prezygotic and postzygotic isolation between non-native red shiner (<i>Cyprinella lutrensis</i>) and native blacktail shiner (<i>C. venusta stigmatura</i>) from the Coosa River basin (USA) to better understand the formation and expansion of invasive hybrid swarms. We conducted spawning trials to measure mating preferences and raised broods from crosses to assay hybrid viability through early juvenile development. Females of both species were more responsive to conspecific mates, although blacktail shiner females responded more often to heterospecific mates than did red shiner females. Fecundity of red shiner females was also higher than blacktail shiner females. Heterospecific crosses resulted in lower fertilization and egg hatching rates, but we found no other evidence of inviability. Rather, we found comparatively low larval mortality of F1 hybrids, which is suggestive of heterosis. These findings support prior inferences of assortative mating from genetic descriptions of hybridization, and that the invasion in the Coosa River is likely proceeding due to interspecific competition and intrinsic hybrid viability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10530-010-9688-9","usgsCitation":"Blum, M.J., Walters, D., Burkhead, N.M., Freeman, B.J., and Porter, B.A., 2010, Reproductive isolation and the expansion of an invasive hybrid swarm: Biological Invasions, v. 12, no. 8, p. 2825-2836, https://doi.org/10.1007/s10530-010-9688-9.","productDescription":"12 p.","startPage":"2825","endPage":"2836","numberOfPages":"12","costCenters":[],"links":[{"id":291470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291469,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10530-010-9688-9"}],"volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-01-20","publicationStatus":"PW","scienceBaseUri":"53db5849e4b0fba533fa35a4","contributors":{"authors":[{"text":"Blum, Michael J.","contributorId":19057,"corporation":false,"usgs":true,"family":"Blum","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":497481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David M.","contributorId":76590,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","affiliations":[],"preferred":false,"id":497483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkhead, Noel M. nburkhead@usgs.gov","contributorId":3030,"corporation":false,"usgs":true,"family":"Burkhead","given":"Noel","email":"nburkhead@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":497479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":497482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Brady A.","contributorId":13482,"corporation":false,"usgs":true,"family":"Porter","given":"Brady","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497480,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98129,"text":"sir20095227 - 2010 - The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts","interactions":[],"lastModifiedDate":"2024-10-30T20:52:11.685734","indexId":"sir20095227","displayToPublicDate":"2010-01-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5227","title":"The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts","docAbstract":"Federal, State and local water-resource managers require a variety of data and modeling tools to better understand water resources. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, has developed a statewide, interactive decision-support tool to meet this need. The decision-support tool, referred to as the Massachusetts Sustainable-Yield Estimator (MA SYE) provides screening-level estimates of the sustainable yield of a basin, defined as the difference between the unregulated streamflow and some user-specified quantity of water that must remain in the stream to support such functions as recreational activities or aquatic habitat. The MA SYE tool was designed, in part, because the quantity of surface water available in a basin is a time-varying quantity subject to competing demands for water.\r\n\r\nTo compute sustainable yield, the MA SYE tool estimates a daily time series of unregulated, daily mean streamflow for a 44-year period of record spanning October 1, 1960, through September 30, 2004. Selected streamflow quantiles from an unregulated, daily flow-duration curve are estimated by solving six regression equations that are a function of physical and climate basin characteristics at an ungaged site on a stream of interest. Streamflow is then interpolated between the estimated quantiles to obtain a continuous daily flow-duration curve. A time series of unregulated daily streamflow subsequently is created by transferring the timing of the daily streamflow at a reference streamgage to the ungaged site by equating exceedence probabilities of contemporaneous flow at the two locations. One of 66 reference streamgages is selected by kriging, a geostatistical method, which is used to map the spatial relation among correlations between the time series of the logarithm of daily streamflows at each reference streamgage and the ungaged site. Estimated unregulated, daily mean streamflows show good agreement with observed unregulated, daily mean streamflow at 18 streamgages located across southern New England. Nash-Sutcliffe efficiency goodness-of-fit values are between 0.69 and 0.98, and percent root-mean-square-error values are between 19 and 283 percent.\r\n\r\nThe MA SYE tool provides an estimate of streamflow adjusted for current (2000-04) water withdrawals and discharges using a spatially referenced database of permitted groundwater and surface-water withdrawal and discharge volumes. For a user-selected basin, the database is queried to obtain the locations of water withdrawal or discharge volumes within the basin. Groundwater and surface-water withdrawals and discharges are subtracted and added, respectively, from the unregulated, daily streamflow at an ungaged site to obtain a streamflow time series that includes the effects of these withdrawals and discharges. Users also have the option of applying an analytical solution to the time-varying, groundwater withdrawal and discharge volumes that take into account the effects of the aquifer properties on the timing and magnitude of streamflow alteration.\r\n\r\nFor the MA SYE tool, it is assumed that groundwater and surface-water divides are coincident. For areas of southeastern Massachusetts and Cape Cod where this assumption is known to be violated, groundwater-flow models are used to estimate average monthly streamflows at fixed locations. There are several limitations to the quality and quantity of the spatially referenced database of groundwater and surface-water withdrawals and discharges. The adjusted streamflow values do not account for the effects on streamflow of climate change, septic-system discharge, impervious area, non-public water-supply withdrawals less than 100,000 gallons per day, and impounded surface-water bodies.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095227","isbn":"9781411326644","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Archfield, S.A., Vogel, R.M., Steeves, P.A., Brandt, S.L., Weiskel, P.K., and Garabedian, S.P., 2010, The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2009-5227, Report: viii, 43 p.; Appendix: 4 Plates: 50.00 x 36.00 inches or smaller; Estimator Tool, https://doi.org/10.3133/sir20095227.","productDescription":"Report: viii, 43 p.; Appendix: 4 Plates: 50.00 x 36.00 inches 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Center","active":true,"usgs":true}],"preferred":true,"id":304264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garabedian, Stephen P.","contributorId":91090,"corporation":false,"usgs":true,"family":"Garabedian","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":304269,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98127,"text":"ofr20101002 - 2010 - Sediment distribution on the Mississippi-Alabama shelf, northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-12-05T15:33:56.555453","indexId":"ofr20101002","displayToPublicDate":"2010-01-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1002","title":"Sediment distribution on the Mississippi-Alabama shelf, northern Gulf of Mexico","docAbstract":"<p>The Mississippi-Alabama shelf is bounded to the west by landforms associated with the Mississippi River Delta, to the north by the barrier-island systems of the Mississippi Alabama shoreline, and to the east by the Desoto Canyon. This portion of the northern Gulf of Mexico has been described as a slowly subsiding, passive continental margin (Sydow and Roberts, 1994). Presently, sediment processes on the shelf are a function of prevailing winds and currents: in the past, however, the shelf was the focus of numerous delta cycles. Major episodes of deposition and erosion on the shelf have occurred in response to oscillations in sea level. This report summarizes these processes and identifies areas of near-surface (&lt;10 m below seafloor) deposits that may be suitable for sediment resources.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101002","usgsCitation":"Flocks, J.G., Sanford, J., and Smith, J., 2010, Sediment distribution on the Mississippi-Alabama shelf, northern Gulf of Mexico: U.S. Geological Survey Open-File Report 2010-1002, 43 p., https://doi.org/10.3133/ofr20101002.","productDescription":"43 p.","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":198452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"Gulf of Mexico, Mississippi-Alabama shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.06997333565288,\n              30.333077210754652\n            ],\n            [\n              -89.06997333565288,\n              29.17379862103347\n            ],\n            [\n              -87.1204204846309,\n              29.17379862103347\n            ],\n            [\n              -87.1204204846309,\n              30.333077210754652\n            ],\n            [\n              -89.06997333565288,\n              30.333077210754652\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc128","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, Jordan","contributorId":38254,"corporation":false,"usgs":true,"family":"Sanford","given":"Jordan","affiliations":[],"preferred":false,"id":304256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jackie L.","contributorId":105017,"corporation":false,"usgs":true,"family":"Smith","given":"Jackie L.","affiliations":[],"preferred":false,"id":304257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047058,"text":"dds49021 - 2010 - Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000","interactions":[],"lastModifiedDate":"2013-11-25T16:03:52","indexId":"dds49021","displayToPublicDate":"2010-01-16T10:13:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"490-21","title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000","docAbstract":"This data set represents the 30-year (1971-2000) average annual precipitation in millimeters multiplied by 100 compiled for every catchment of NHDPlus for the conterminous United States. The source data were the \"United States Average Monthly or Annual Precipitation, 1971 - 2000\" raster dataset produced by the PRISM Group at Oregon State University. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's  Major River Basins (MRBs, Crawford and others, 2006).  MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2.  MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6.  MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9.  MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper.  MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12.  MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16.  MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17.  MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49021","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000: U.S. Geological Survey Data Series 490-21, Dataset, https://doi.org/10.3133/dds49021.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275037,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_ppt30yr.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e66b64e4b017be1ba3475e","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480942,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98123,"text":"ofr20091165 - 2010 - Volcano-Monitoring Instrumentation in the United States, 2008","interactions":[],"lastModifiedDate":"2021-02-11T21:02:03.414393","indexId":"ofr20091165","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1165","title":"Volcano-Monitoring Instrumentation in the United States, 2008","docAbstract":"The United States is one of the most volcanically active countries in the world. According to the global volcanism database of the Smithsonian Institution, the United States (including its Commonwealth of the Northern Mariana Islands) is home to about 170 volcanoes that are in an eruptive phase, have erupted in historical time, or have not erupted recently but are young enough (eruptions within the past 10,000 years) to be capable of reawakening. From 1980 through 2008, 30 of these volcanoes erupted, several repeatedly.\r\n\r\nVolcano monitoring in the United States is carried out by the U.S. Geological Survey (USGS) Volcano Hazards Program, which operates a system of five volcano observatories-Alaska Volcano Observatory (AVO), Cascades Volcano Observatory (CVO), Hawaiian Volcano Observatory (HVO), Long Valley Observatory (LVO), and Yellowstone Volcano Observatory (YVO). The observatories issue public alerts about conditions and hazards at U.S. volcanoes in support of the USGS mandate under P.L. 93-288 (Stafford Act) to provide timely warnings of potential volcanic disasters to the affected populace and civil authorities.\r\n\r\nTo make efficient use of the Nation's scientific resources, the volcano observatories operate in partnership with universities and other governmental agencies through various formal agreements. The Consortium of U.S. Volcano Observatories (CUSVO) was established in 2001 to promote scientific cooperation among the Federal, academic, and State agencies involved in observatory operations. Other groups also contribute to volcano monitoring by sponsoring long-term installation of geophysical instruments at some volcanoes for specific research projects.\r\n\r\nThis report describes a database of information about permanently installed ground-based instruments used by the U.S. volcano observatories to monitor volcanic activity (unrest and eruptions). The purposes of this Volcano-Monitoring Instrumentation Database (VMID) are to (1) document the Nation's existing, ground-based, volcano-monitoring capabilities, (2) answer queries within a geospatial framework about the nature of the instrumentation, and (3) provide a benchmark for planning future monitoring improvements.\r\n\r\nThe VMID is not an archive of the data collected by monitoring instruments, nor is it intended to keep track of whether a station is temporarily unavailable due to telemetry or equipment problems. Instead, it is a compilation of basic information about each instrument such as location, type, and sponsoring agency. Typically, instruments installed expressly for volcano monitoring are emplaced within about 20 kilometers (km) of a volcanic center; however, some more distant instruments (as far away as 100 km) can be used under certain circumstances and therefore are included in the database. Not included is information about satellite-based and airborne sensors and temporarily deployed instrument arrays, which also are used for volcano monitoring but do not lend themselves to inclusion in a geospatially organized compilation of sensor networks.\r\n\r\nThis Open-File Report is provided in two parts: (1) an Excel spreadsheet (http://pubs.usgs.gov/of/2009/1165/) containing the version of the Volcano-Monitoring Instrumentation Database current through 31 December 2008 and (2) this text (in Adobe PDF format), which serves as metadata for the VMID. The disclaimer for the VMID is in appendix 1 of the text. Updated versions of the VMID will be posted on the Web sites of the Consortium of U.S. Volcano Observatories (http://www.cusvo.org/) and the USGS Volcano Hazards Program http://volcanoes.usgs.gov/activity/data/index.php.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091165","usgsCitation":"Guffanti, M., Diefenbach, A., Ewert, J.W., Ramsey, D.W., Cervelli, P.F., and Schilling, S.P., 2010, Volcano-Monitoring Instrumentation in the United States, 2008: U.S. Geological Survey Open-File Report 2009-1165, Report: iv, 32 p.; Database, https://doi.org/10.3133/ofr20091165.","productDescription":"Report: iv, 32 p.; Database","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":125638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1165.jpg"},{"id":13363,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1165/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska, Arizona, California, Colorado, Hawaii, New Mexico, Oregon, Utah, Washington","otherGeospatial":"Commonwealth of the Northern Mariana Islands, Guam","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd77e","contributors":{"authors":[{"text":"Guffanti, Marianne","contributorId":68257,"corporation":false,"usgs":true,"family":"Guffanti","given":"Marianne","affiliations":[],"preferred":false,"id":304243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":36650,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[],"preferred":false,"id":304242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewert, John W. 0000-0003-2819-4057 jwewert@usgs.gov","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":642,"corporation":false,"usgs":true,"family":"Ewert","given":"John","email":"jwewert@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":304238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":304240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cervelli, Peter F. 0000-0001-6765-1009 pcervelli@usgs.gov","orcid":"https://orcid.org/0000-0001-6765-1009","contributorId":1936,"corporation":false,"usgs":true,"family":"Cervelli","given":"Peter","email":"pcervelli@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":304239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Steven P.","contributorId":31081,"corporation":false,"usgs":true,"family":"Schilling","given":"Steven","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":304241,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98125,"text":"ofr20091259 - 2010 - Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making - Proceedings of a Workshop","interactions":[],"lastModifiedDate":"2012-02-02T00:14:56","indexId":"ofr20091259","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1259","title":"Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making - Proceedings of a Workshop","docAbstract":"The analytical framework for understanding ecosystem services in conservation, resource management, and development decisions is multidisciplinary, encompassing a combination of the natural and social sciences. This report summarizes a workshop on 'Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making,' which focused on the analytical process and on identifying research priorities for assessing ecosystem services, their production and use, their spatial and temporal characteristics, their relationship with natural systems, and their interdependencies. Attendees discussed research directions and solutions to key challenges in developing the analytical framework. The discussion was divided into two sessions: (1) the measurement framework: quantities and values, and (2) the spatial framework: mapping and spatial relationships.\r\n\r\nThis workshop was the second of three preconference workshops associated with ACES 2008 (A Conference on Ecosystem Services): Using Science for Decision Making in Dynamic Systems. These three workshops were designed to explore the ACES 2008 theme on decision making and how the concept of ecosystem services can be more effectively incorporated into conservation, restoration, resource management, and development decisions. Preconference workshop 1, 'Developing a Vision: Incorporating Ecosystem Services into Decision Making,' was held on April 15, 2008, in Cambridge, MA. In preconference workshop 1, participants addressed what would have to happen to make ecosystem services be used more routinely and effectively in conservation, restoration, resource management, and development decisions, and they identified some key challenges in developing the analytical framework. Preconference workshop 3, 'Developing an Institutional Framework: Incorporating Ecosystem Services into Decision Making,' was held on October 30, 2008, in Albuquerque, NM; participants examined the relationship between the institutional framework and the use of ecosystem services in decision making.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091259","collaboration":"Proceedings of a workshop associated with \"A Conference on Ecosystem Services (ACES 2008)\"\r\n","usgsCitation":"Hogan, D., Arthaud, G., Pattison, M., Sayre, R.G., and Shapiro, C., 2010, Developing an Analytical Framework: Incorporating Ecosystem Services into Decision Making - Proceedings of a Workshop: U.S. Geological Survey Open-File Report 2009-1259, iii, 6 p., https://doi.org/10.3133/ofr20091259.","productDescription":"iii, 6 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-04-15","temporalEnd":"2008-10-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125647,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1259.jpg"},{"id":13362,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1259/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d55e","contributors":{"authors":[{"text":"Hogan, Dianna","contributorId":79565,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","affiliations":[],"preferred":false,"id":304250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arthaud, Greg","contributorId":48269,"corporation":false,"usgs":true,"family":"Arthaud","given":"Greg","email":"","affiliations":[],"preferred":false,"id":304249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pattison, Malka","contributorId":15302,"corporation":false,"usgs":true,"family":"Pattison","given":"Malka","affiliations":[],"preferred":false,"id":304248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sayre, Roger G. rsayre@usgs.gov","contributorId":2882,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":304247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shapiro, Carl 0000-0002-1598-6808","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":104584,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","affiliations":[],"preferred":false,"id":304251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98121,"text":"fs20093099 - 2010 - Integrating Agriculture and Conservation","interactions":[],"lastModifiedDate":"2015-03-18T11:33:28","indexId":"fs20093099","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-3099","title":"Integrating Agriculture and Conservation","docAbstract":"<p>The USGS produces the needed science-based information to guide management actions and policy decisions that support wildlife habitat and other environmental services compatible with USDA conservation goals and farm operations. The Policy Analysis and Science Assistance Branch of the Fort Collins Science Center (FORT) has conducted research involving a national landowner survey and numerous short- and long-term evaluations regarding vegetation responses to land management practices. This research helps land and resource managers to make informed decisions and resolve resource management conflicts.</p>","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093099","usgsCitation":"Vandever, M., 2010, Integrating Agriculture and Conservation: U.S. Geological Survey Fact Sheet 2009-3099, 4 p., https://doi.org/10.3133/fs20093099.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":125645,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3099.jpg"},{"id":298707,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2009/3099/pdf/FS09-3099.pdf","text":"Report","size":"7.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":13361,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3099/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e88b","contributors":{"authors":[{"text":"Vandever, Mark W.","contributorId":59870,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark W.","affiliations":[],"preferred":false,"id":304233,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98120,"text":"ofr20091290 - 2010 - Gas, oil, and water production from Jonah, Pinedale, Greater Wamsutter, and Stagecoach Draw fields in the Greater Green River Basin, Wyoming","interactions":[],"lastModifiedDate":"2022-10-04T19:22:14.761699","indexId":"ofr20091290","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1290","title":"Gas, oil, and water production from Jonah, Pinedale, Greater Wamsutter, and Stagecoach Draw fields in the Greater Green River Basin, Wyoming","docAbstract":"<p>Gas, oil, and water production data were compiled from selected wells in four gas fields in rocks of Late Cretaceous age in southwestern Wyoming. This study is one of a series of reports examining fluid production from tight-gas reservoirs, which are characterized by low permeability, low porosity, and the presence of clay minerals in pore space. Production from each well is represented by two samples spaced five years apart, the first sample typically taken two years after commencement of production. For each producing interval, summary diagrams of oil versus gas and water versus gas production show fluid production rates, the change in rates during five years, the water-gas and oil-gas ratios, and the fluid type. These diagrams permit well-to-well and field-to-field comparisons. Fields producing water at low rates (water dissolved in gas in the reservoir) can be distinguished from fields producing water at moderate or high rates, and the water-gas ratios are quantified.</p><p>The ranges of first-sample gas rates in Pinedale field and Jonah field are quite similar, and the average gas production rate for the second sample, taken five years later, is about one-half that of the first sample for both fields. Water rates are generally substantially higher in Pinedale than in Jonah, and water-gas ratios in Pinedale are roughly a factor of ten greater in Pinedale than in Jonah. Gas and water production rates from each field are fairly well grouped, indicating that Pinedale and Jonah fields are fairly cohesive gas-water systems. Pinedale field appears to be remarkably uniform in its flow behavior with time. Jonah field, which is internally faulted, exhibits a small spread in first-sample production rates. In the Greater Wamsutter field, gas production from the upper part of the Almond Formation is greater than from the main part of the Almond. Some wells in the main and the combined (upper and main parts) Almond show increases in water production with time, whereas increases in water production are rare in the upper part of the Almond, and a higher percentage of wells in the upper part of the Almond show water decreasing at the same rate as gas than in the main or combined parts of the Almond.</p><p>In Stagecoach Draw field, the gas production rate after five years is about one-fourth that of the first sample, whereas in Pinedale, Jonah, and Greater Wamsutter fields, the production rate after five years is about one-half that of the first sample. The more rapid gas decline rate seems to be the outstanding feature distinguishing Stagecoach Draw field, which is characterized as a conventional field, from Pinedale, Jonah, and Greater Wamsutter fields, which are generally characterized as tight-gas accumulations. Oil-gas ratios are fairly consistent within Jonah, Pinedale, and Stagecoach Draw fields, suggesting similar chemical composition and pressure-temperature conditions within each field, and are less than the 20 bbl/mmcf upper limit for wet gas. However, oil-gas ratios vary considerably from one area to another in the Greater Wamsutter field, demonstrating a lack of commonality in either chemistry or pressure-temperature conditions among the six areas.</p><p>In all wells in all four fields examined here, water production commences with gas production—there are no examples of wells with water-free production and no examples where water production commences after first-sample gas production. The fraction of records with water production higher in the second sample than in the first sample varies from field to field, with Pinedale field showing the lowest percentage of such cases and Jonah field showing the most. Most wells have water-gas ratios exceeding the amount that could exist dissolved in gas at reservoir pressure and temperature.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091290","usgsCitation":"Nelson, P.H., Ewald, S.M., Santus, S.L., and Trainor, P.K., 2010, Gas, oil, and water production from Jonah, Pinedale, Greater Wamsutter, and Stagecoach Draw fields in the Greater Green River Basin, Wyoming (Version 1.0): U.S. Geological Survey Open-File Report 2009-1290, Pamphlet: iv, 19 p.; 5 Plates: 42.38 × 21.00 inches or smaller; Downloads Directory, https://doi.org/10.3133/ofr20091290.","productDescription":"Pamphlet: iv, 19 p.; 5 Plates: 42.38 × 21.00 inches or smaller; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125637,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1290.jpg"},{"id":407875,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_90298.htm","linkFileType":{"id":5,"text":"html"}},{"id":13360,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1290/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Jonah, Pinedale, Greater Wamsutter, and Stagecoach Draw fields","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110,\n              41\n            ],\n            [\n              -107.3833,\n              41\n            ],\n            [\n              -107.3833,\n              42.8667\n            ],\n            [\n              -110,\n              42.8667\n            ],\n            [\n              -110,\n              41\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b12fe","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ewald, Shauna M.","contributorId":43884,"corporation":false,"usgs":true,"family":"Ewald","given":"Shauna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santus, Stephen L. ssantus@usgs.gov","contributorId":4566,"corporation":false,"usgs":true,"family":"Santus","given":"Stephen","email":"ssantus@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":304230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trainor, Patrick K.","contributorId":34220,"corporation":false,"usgs":true,"family":"Trainor","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":304231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98119,"text":"ds486 - 2010 - High-Frequency, Crosswell Radar Data Collected in a Laboratory Tank","interactions":[],"lastModifiedDate":"2012-02-02T00:14:56","indexId":"ds486","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"486","title":"High-Frequency, Crosswell Radar Data Collected in a Laboratory Tank","docAbstract":"Crosswell radar data were collected among three wells in a laboratory tank filled with dry sand. Embedded within the sand was a long plastic box, which was the target for the data collection. Two datasets were collected between each pair of wells, making a total of six datasets. The frequencies in the data ranged from 0.5 to 1.5 gigahertz, and the peak frequency was 0.9 gigahertz. The data are well suited for evaluating various processing algorithms, and the data linearly scale to typical field conditions.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds486","usgsCitation":"Peters, B., Moulton, C.W., Ellefsen, K.J., Horton, R., and McKenna, J.R., 2010, High-Frequency, Crosswell Radar Data Collected in a Laboratory Tank: U.S. Geological Survey Data Series 486, Report: iv, 12 p.; Downloads Directory, https://doi.org/10.3133/ds486.","productDescription":"Report: iv, 12 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_486.jpg"},{"id":13359,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/486/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db62fd2e","contributors":{"authors":[{"text":"Peters, Bas","contributorId":69020,"corporation":false,"usgs":true,"family":"Peters","given":"Bas","email":"","affiliations":[],"preferred":false,"id":304228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulton, Craig W. cmoulton@usgs.gov","contributorId":2198,"corporation":false,"usgs":true,"family":"Moulton","given":"Craig","email":"cmoulton@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":304226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":304225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Robert 0000-0001-5578-3733 rhorton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-3733","contributorId":612,"corporation":false,"usgs":true,"family":"Horton","given":"Robert","email":"rhorton@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, Jason R.","contributorId":7141,"corporation":false,"usgs":true,"family":"McKenna","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":304227,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98115,"text":"ofr20091277 - 2010 - A Composite Depth Scale for Sediments from Crevice Lake, Montana","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20091277","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1277","title":"A Composite Depth Scale for Sediments from Crevice Lake, Montana","docAbstract":"As part of a study to derive records of past environmental change from lake sediments in the western United States, a set of cores was collected from Crevice Lake, Montana, in late February and early March 2001. Crevice Lake (latitude 45.000N, longitude 110.578W, elevation 1,713 meters) lies adjacent to the Yellowstone River at the north edge of Yellowstone National Park. The lake is more than 31 meters deep and has a surface area of 7.76 hectares. The combination of small surface area and significant depth promote anoxic bottom-water conditions that preserve annual laminations (varves) in the sediment.\r\n\r\nThree types of cores were collected through the ice. The uppermost sediments were obtained in freeze cores that preserved the sediment water interface. Two sites were cored with a 5-centimeter diameter corer. Five cores were taken with a 2-meter-long percussion piston corer. The percussion core uses a plastic core liner with an inside diameter of 9 centimeters. Coring was done at two sites. Because of the relatively large diameter of the percussion cores, samples from these cores were used for a variety of analyses including pollen, charcoal, diatoms, stable isotopes, organic and inorganic carbon, elemental analyses, and magnetic properties.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091277","usgsCitation":"Rosenbaum, J.G., Skipp, G., Honke, J., and Chapman, C., 2010, A Composite Depth Scale for Sediments from Crevice Lake, Montana: U.S. Geological Survey Open-File Report 2009-1277, Report: iv, 5 p.; Figure (8.5 x 38 inches), https://doi.org/10.3133/ofr20091277.","productDescription":"Report: iv, 5 p.; Figure (8.5 x 38 inches)","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2001-02-15","temporalEnd":"2001-03-15","costCenters":[{"id":230,"text":"Earth Surface Processes Team - Central Region","active":false,"usgs":true}],"links":[{"id":125635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1277.jpg"},{"id":13354,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1277/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.75,44.75 ], [ -110.75,45.25 ], [ -110.25,45.25 ], [ -110.25,44.75 ], [ -110.75,44.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4951e4b0b290850ef0c1","contributors":{"authors":[{"text":"Rosenbaum, J. G.","contributorId":96685,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":304217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skipp, G.","contributorId":49899,"corporation":false,"usgs":true,"family":"Skipp","given":"G.","email":"","affiliations":[],"preferred":false,"id":304215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honke, J.","contributorId":62714,"corporation":false,"usgs":true,"family":"Honke","given":"J.","affiliations":[],"preferred":false,"id":304216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, C.","contributorId":16951,"corporation":false,"usgs":true,"family":"Chapman","given":"C.","affiliations":[],"preferred":false,"id":304214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70147898,"text":"70147898 - 2010 - Movement distances and habitat switching by female Mallards wintering in the Lower Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2017-11-27T13:03:19","indexId":"70147898","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Movement distances and habitat switching by female Mallards wintering in the Lower Mississippi Alluvial Valley","docAbstract":"<p>Mallard (Anus platyrhynchos) populations in the Lower Mississippi Alluvial Valley (hereafter, LMAV) comprise the largest concentration of wintering Mallards in North America. Radiotelemetry techniques were employed to assess movements by female Mallards during winters of 2004-2005 and 2005-2006; 467 paired (diurnal and nocturnal) observations on 80 radiomarked females were attained to assess effects of date, female age, hunting regime and habitat type on distances moved and potential habitat switching. Distance moved increased with date for females diurnally located in RICE but decreased for females in FOREST. Median movement distance was 1.5 km, suggesting suitable habitats for all activities were in close proximity. Habitat switching varied among diurnal habitat types used by females. Females diurnally located in FOREST and REFOR switched habitats in &lt;= 22% of paired observations, whereas females diurnally located in RICE switched habitats in 55% of paired observations. The decreased movement distances and less frequent habitat switching by females using forested habitats should reduce their energy expenditure and exposure to predation risk. The results document the importance of forested wet-lands to Mallards wintering in the LMAV and provide support for programs that protect and restore such habitats. Received 18 November 2009, accepted 16 January 2010.</p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.033.0311","collaboration":"Louisiana Department of Wildlife and Fisheries \t \nDucks Unlimited, Inc. \t \nUSFWS \t \nUSGS-Northern Prairie Wildlife Research Center \t \nSchool of Renewable Natural Resources \t \nAgricultural Center \t \nGraduate School \t \nUSGS-Louisiana Cooperative Fish and Wildlife Research Unit at Louisiana State University","usgsCitation":"Afton, A.D., and Davis, B., 2010, Movement distances and habitat switching by female Mallards wintering in the Lower Mississippi Alluvial Valley: Waterbirds, v. 33, no. 3, p. 349-356, https://doi.org/10.1675/063.033.0311.","productDescription":"8 p.","startPage":"349","endPage":"356","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016390","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":312669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Lousiana","otherGeospatial":"Upper Ouachita National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.05478668212889,\n              32.77659468911787\n            ],\n            [\n              -92.09152221679688,\n              32.784965481461185\n            ],\n            [\n              -92.09529876708984,\n              32.82507661847656\n            ],\n            [\n              -92.0928955078125,\n              32.85421076375023\n            ],\n            [\n              -92.09083557128906,\n              32.87583884249219\n            ],\n            [\n              -92.15984344482422,\n              32.908415185236095\n            ],\n            [\n              -92.17838287353516,\n              32.931182680502246\n            ],\n            [\n              -92.19486236572264,\n              32.99340313487372\n            ],\n            [\n              -92.19074249267578,\n              33.00981511270531\n            ],\n            [\n              -92.06954956054688,\n              33.00923930552009\n            ],\n            [\n              -92.07195281982422,\n              32.99081149087488\n            ],\n            [\n              -92.08431243896484,\n              32.96834738864797\n            ],\n            [\n              -92.054443359375,\n              32.96114614653735\n            ],\n            [\n              -92.01976776123047,\n              32.960570021811456\n            ],\n            [\n              -91.95556640625,\n              32.95567280997862\n            ],\n            [\n              -91.9332504272461,\n              32.954232401909216\n            ],\n            [\n              -91.93496704101562,\n              32.8827587135933\n            ],\n            [\n              -91.9449234008789,\n              32.85507598816667\n            ],\n            [\n              -91.9456100463867,\n              32.84728866466377\n            ],\n            [\n              -91.94664001464844,\n              32.83892374118202\n            ],\n            [\n              -92.05478668212889,\n              32.77659468911787\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930cfe4b0da412f4fb574","contributors":{"authors":[{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":546354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Bruce E.","contributorId":11050,"corporation":false,"usgs":true,"family":"Davis","given":"Bruce E.","affiliations":[],"preferred":false,"id":583058,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98117,"text":"sim3104 - 2010 - Mineral and Vegetation Maps of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada, Generated from ASTER Satellite Data","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"sim3104","displayToPublicDate":"2010-01-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3104","title":"Mineral and Vegetation Maps of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada, Generated from ASTER Satellite Data","docAbstract":"Multispectral remote sensing data acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were analyzed to identify and map minerals, vegetation groups, and volatiles (water and snow) in support of geologic studies of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada. Digital mineral and vegetation mapping results are presented in both portable document format (PDF) and ERDAS Imagine format (.img). The ERDAS-format files are suitable for integration with other geospatial data in Geographic Information Systems (GIS) such as ArcGIS. The ERDAS files showing occurrence of 1) iron-bearing minerals, vegetation, and water, and 2) clay, sulfate, mica, carbonate, Mg-OH, and hydrous quartz minerals have been attributed according to identified material, so that the material detected in a pixel can be queried with the interactive attribute identification tools of GIS and image processing software packages (for example, the Identify Tool of ArcMap and the Inquire Cursor Tool of ERDAS Imagine). \r\n\r\nAll raster data have been orthorectified to the Universal Transverse Mercator (UTM) projection using a projective transform with ground-control points selected from orthorectified Landsat Thematic Mapper data and a digital elevation model from the U.S. Geological Survey (USGS) National Elevation Dataset (1/3 arc second, 10 m resolution).\r\n\r\nMetadata compliant with Federal Geographic Data Committee (FGDC) standards for all ERDAS-format files have been included, and contain important information regarding geographic coordinate systems, attributes, and cross-references. Documentation regarding spectral analysis methodologies employed to make the maps is included in these cross-references.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3104","usgsCitation":"Rockwell, B.W., 2010, Mineral and Vegetation Maps of the Bodie Hills, Sweetwater Mountains, and Wassuk Range, California/Nevada, Generated from ASTER Satellite Data (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3104, Pamphlet: iii, 5 p.; 4 Sheets (each 48 x 36 inches); Downloads Directory, https://doi.org/10.3133/sim3104.","productDescription":"Pamphlet: iii, 5 p.; 4 Sheets (each 48 x 36 inches); Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-08-12","temporalEnd":"2004-06-20","costCenters":[{"id":177,"text":"Central Region Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125625,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3104.jpg"},{"id":13357,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3104/","linkFileType":{"id":5,"text":"html"}}],"scale":"62000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.41666666666667,38.083333333333336 ], [ -119.41666666666667,38.5 ], [ -118.5,38.5 ], [ -118.5,38.083333333333336 ], [ -119.41666666666667,38.083333333333336 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db6357f3","contributors":{"authors":[{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304220,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203120,"text":"70203120 - 2010 - Biocomplexity in mangrove ecosystems","interactions":[],"lastModifiedDate":"2019-04-22T12:47:41","indexId":"70203120","displayToPublicDate":"2010-01-15T12:47:10","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Biocomplexity in mangrove ecosystems","docAbstract":"<p><span>Mangroves are an ecological assemblage of trees and shrubs adapted to grow in intertidal environments along tropical coasts. Despite repeated demonstration of their economic and societal value, more than 50% of the world's mangroves have been destroyed, 35% in the past two decades to aquaculture and coastal development, altered hydrology, sea-level rise, and nutrient overenrichment. Variations in the structure and function of mangrove ecosystems have generally been described solely on the basis of a hierarchical classification of the physical characteristics of the intertidal environment, including climate, geomorphology, topography, and hydrology. Here, we use the concept of emergent properties at multiple levels within a hierarchical framework to review how the interplay between specialized adaptations and extreme trait plasticity that characterizes mangroves and intertidal environments gives rise to the biocomplexity that distinguishes mangrove ecosystems. The traits that allow mangroves to tolerate variable salinity, flooding, and nutrient availability influence ecosystem processes and ultimately the services they provide. We conclude that an integrated research strategy using emergent properties in empirical and theoretical studies provides a holistic approach for understanding and managing mangrove ecosystems.</span></p>","language":"English","publisher":"Annual Review","doi":"10.1146/annurev.marine.010908.163809","usgsCitation":"Feller, I.C., Lovelock, C.E., Berger, U., McKee, K.L., Joye, S.B., and Ball, M., 2010, Biocomplexity in mangrove ecosystems: Annual Review of Marine Science, v. 2, p. 395-417, https://doi.org/10.1146/annurev.marine.010908.163809.","productDescription":"23 p.","startPage":"395","endPage":"417","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":363108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feller, Ilka C.","contributorId":196519,"corporation":false,"usgs":false,"family":"Feller","given":"Ilka","email":"","middleInitial":"C.","affiliations":[{"id":28135,"text":"Smithsonian Environmental Research Center, Edgewater, MD","active":true,"usgs":false}],"preferred":false,"id":761253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovelock, Catherine E.","contributorId":64787,"corporation":false,"usgs":true,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":761254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berger, U.","contributorId":214935,"corporation":false,"usgs":false,"family":"Berger","given":"U.","email":"","affiliations":[],"preferred":false,"id":761255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":761256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joye, Samantha B.","contributorId":172702,"corporation":false,"usgs":false,"family":"Joye","given":"Samantha","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":761257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ball, M.C.","contributorId":92045,"corporation":false,"usgs":true,"family":"Ball","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":761258,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70199969,"text":"70199969 - 2010 - Reactive solute-transport simulation of pre-mining metal concentrations in mine-impacted catchments: Redwell Basin, Colorado, USA","interactions":[],"lastModifiedDate":"2018-10-09T10:27:54","indexId":"70199969","displayToPublicDate":"2010-01-15T10:27:29","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Reactive solute-transport simulation of pre-mining metal concentrations in mine-impacted catchments: Redwell Basin, Colorado, USA","docAbstract":"<p><span>With the increased importance of water resources in the western United States and many areas worldwide, the remediation of impacts from historical mining becomes ever more important. A possible process of making decisions about remediation for a catchment might include identification of principal sources of metals in the catchment, classification of the sources as natural or anthropogenic, and simulations to evaluate different options for removal of anthropogenic sources. The application of this process is based on understanding the pre-mining conditions in the catchment, so that remediation goals appropriately correct for the impacts of mining. A field experiment in Redwell Basin, Colorado, provided a setting to demonstrate this process and to evaluate pre-mining concentrations through reactive solute-transport modeling. The field experiment provided spatially detailed stream and inflow samples that were the basis for model calibration. Only two inflows along the study reach were affected by mining or mine exploration. To simulate pre-mining conditions, these inflows were removed from the model calibration; the result was a simulation of the stream with all the non-mining inputs. At a point downstream from the two mining inflows, the simulated pre-mining pH would have been 5.1, up from the measured 3.8. At the higher pH, the streambed likely would have been coated with Al precipitate. Simulated pre-mining Zn and Cu would have been 1300</span><span>&nbsp;</span><span>µg/L and 18</span><span>&nbsp;</span><span>µg/L, lower than the measured concentrations of 3340 and 93</span><span>&nbsp;</span><span>µg/L. Despite these changes, the pre-mining conditions would not have met aquatic-life standards.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.05.024","usgsCitation":"Kimball, B.A., Runkel, R.L., Wanty, R.B., and Verplanck, P.L., 2010, Reactive solute-transport simulation of pre-mining metal concentrations in mine-impacted catchments: Redwell Basin, Colorado, USA: Chemical Geology, v. 269, no. 1-2, p. 124-136, https://doi.org/10.1016/j.chemgeo.2009.05.024.","productDescription":"13p.","startPage":"124","endPage":"136","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Redwell Basin","volume":"269","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c76de4b034bf6a7f5887","contributors":{"authors":[{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":747526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":747527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}