{"pageNumber":"696","pageRowStart":"17375","pageSize":"25","recordCount":46666,"records":[{"id":70032412,"text":"70032412 - 2011 - Distributional changes and range predictions of downy brome (Bromus tectorum) in Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032412","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Distributional changes and range predictions of downy brome (Bromus tectorum) in Rocky Mountain National Park","docAbstract":"Downy brome (Bromus tectorum L.), an invasive winter annual grass, may be increasing in extent and abundance at high elevations in the western United States. This would pose a great threat to high-elevation plant communities and resources. However, data to track this species in high-elevation environments are limited. To address changes in the distribution and abundance of downy brome and the factors most associated with its occurrence, we used field sampling and statistical methods, and niche modeling. In 2007, we resampled plots from two vegetation surveys in Rocky Mountain National Park for presence and cover of downy brome. One survey was established in 1993 and had been resampled in 1999. The other survey was established in 1996 and had not been resampled until our study. Although not all comparisons between years demonstrated significant changes in downy brome abundance, its mean cover increased nearly fivefold from 1993 (0.7%) to 2007 (3.6%) in one of the two vegetation surveys (P = 0.06). Although the average cover of downy brome within the second survey appeared to be increasing from 1996 to 2007, this slight change from 0.5% to 1.2% was not statistically significant (P = 0.24). Downy brome was present in 50% more plots in 1999 than in 1993 (P = 0.02) in the first survey. In the second survey, downy brome was present in 30% more plots in 2007 than in 1996 (P = 0.08). Maxent, a species-environmental matching model, was generally able to predict occurrences of downy brome, as new locations were in the ranges predicted by earlier generated models. The model found that distance to roads, elevation, and vegetation community influenced the predictions most. The strong response of downy brome to interannual environmental variability makes detecting change challenging, especially with small sample sizes. However, our results suggest that the area in which downy brome occurs is likely increasing in Rocky Mountain National Park through increased frequency and cover. Field surveys along with predictive modeling will be vital in directing efforts to manage this highly invasive species. ?? Weed Science Society of America 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Invasive Plant Science and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1614/IPSM-D-10-00022.1","issn":"19397291","usgsCitation":"Bromberg, J., Kumar, S., Brown, C.S., and Stohlgren, T., 2011, Distributional changes and range predictions of downy brome (Bromus tectorum) in Rocky Mountain National Park: Invasive Plant Science and Management, v. 4, no. 2, p. 173-182, https://doi.org/10.1614/IPSM-D-10-00022.1.","startPage":"173","endPage":"182","numberOfPages":"10","costCenters":[],"links":[{"id":241308,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213659,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1614/IPSM-D-10-00022.1"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"505a0326e4b0c8380cd50376","contributors":{"authors":[{"text":"Bromberg, J.E.","contributorId":10232,"corporation":false,"usgs":true,"family":"Bromberg","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":436044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, S.","contributorId":89843,"corporation":false,"usgs":true,"family":"Kumar","given":"S.","affiliations":[],"preferred":false,"id":436046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, C. S.","contributorId":80675,"corporation":false,"usgs":false,"family":"Brown","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":436045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stohlgren, T.J.","contributorId":7217,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":436043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176225,"text":"70176225 - 2011 - A review of the lignite resources of Arkansas","interactions":[],"lastModifiedDate":"2020-10-16T16:58:56.51936","indexId":"70176225","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5382,"text":"AAPG Studies in Geology","active":false,"publicationSubtype":{"id":24}},"chapter":"17","title":"A review of the lignite resources of Arkansas","docAbstract":"<p><span>This review of the lignite resources of Arkansas is a part of the U.S. Geological Survey's (USGS) National Coal Resource Assessment (NCRA) of the Gulf Coastal Plain Coal Province, which also includes coal-bearing areas in the states of Texas, Louisiana, Alabama, Mississippi, Tennessee, and Kentucky (see&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"ch17r53\">Ruppert et al., 2002</a><span>;&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"ch17r16\">Dennen, 2009</a><span>; and other chapters of this publication). Lignite mining is not planned in Arkansas in the immediate future, and the lignite resources of the state were not assessed in detail as part of the NCRA. This chapter includes reviews of the geology of the lignite-bearing units, historical mining, previous investigations of lignite resources, and coal quality. Palynological data for lignite samples collected in Arkansas as part of this work are presented in Table&nbsp;</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"ch17tbl1\">1</a><span>.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology vol. 62","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Hackley, P.C., Willett, J.C., Warwick, P.D., Law, S., and Nichols, D.J., 2011, A review of the lignite resources of Arkansas, chap. 17 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology vol. 62: AAPG Studies in Geology, v. 62, p. 313-325.","productDescription":"13 p.","startPage":"313","endPage":"325","ipdsId":"IP-020070","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":332108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350893,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/books/book/1259/chapter/107082739/a-review-of-the-lignite-resources-of-arkansas"}],"country":"United States","state":"Arkansas","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-94.042964,33.019219],[-94.043428,33.551425],[-94.061896,33.549764],[-94.072156,33.553864],[-94.073744,33.558285],[-94.067985,33.560961],[-94.056442,33.560998],[-94.056096,33.567252],[-94.082641,33.575492],[-94.119902,33.566999],[-94.126898,33.550647],[-94.131382,33.552934],[-94.136046,33.571388],[-94.143402,33.565505],[-94.151456,33.568387],[-94.14216,33.58139],[-94.156782,33.575749],[-94.161277,33.579271],[-94.161082,33.587972],[-94.183913,33.594682],[-94.194465,33.582886],[-94.217198,33.580737],[-94.211329,33.573774],[-94.201106,33.575851],[-94.192483,33.570425],[-94.189884,33.562454],[-94.196395,33.555123],[-94.203594,33.566546],[-94.208078,33.566911],[-94.226392,33.552912],[-94.250197,33.556765],[-94.251108,33.56528],[-94.236836,33.580914],[-94.240179,33.589536],[-94.257801,33.582508],[-94.27909,33.557026],[-94.290901,33.558872],[-94.290372,33.567905],[-94.280849,33.577187],[-94.287025,33.58241],[-94.301023,33.573022],[-94.309582,33.551673],[-94.319492,33.548864],[-94.33059,33.552692],[-94.33438,33.562536],[-94.344023,33.567824],[-94.352433,33.562172],[-94.34729,33.552197],[-94.355945,33.54318],[-94.381667,33.544035],[-94.399393,33.557077],[-94.397398,33.562314],[-94.378561,33.571329],[-94.382887,33.583268],[-94.403342,33.568424],[-94.412175,33.568691],[-94.430039,33.591124],[-94.439518,33.594154],[-94.449112,33.590894],[-94.471152,33.601588],[-94.469451,33.607316],[-94.452325,33.618817],[-94.462736,33.63091],[-94.448451,33.634497],[-94.448637,33.642766],[-94.459198,33.645146],[-94.464186,33.637655],[-94.485875,33.637867],[-94.45753,34.642961],[-94.431215,35.39429],[-94.617919,36.499414],[-90.152481,36.497952],[-90.158568,36.491574],[-90.15946,36.481343],[-90.142269,36.472138],[-90.152888,36.47093],[-90.1557,36.466103],[-90.14153,36.462993],[-90.137323,36.455411],[-90.133993,36.437906],[-90.143798,36.428483],[-90.139499,36.421457],[-90.13559,36.422897],[-90.138653,36.414547],[-90.131038,36.415069],[-90.109495,36.404073],[-90.080426,36.400763],[-90.064514,36.382085],[-90.066297,36.3593],[-90.077695,36.348478],[-90.075572,36.33404],[-90.081961,36.322097],[-90.069266,36.313152],[-90.06398,36.303038],[-90.0778,36.288349],[-90.075934,36.281485],[-90.083731,36.272332],[-90.114922,36.265595],[-90.118219,36.253491],[-90.124476,36.244198],[-90.129716,36.243235],[-90.126366,36.229367],[-90.14224,36.227522],[-90.15614,36.213706],[-90.179695,36.208262],[-90.199905,36.196848],[-90.204449,36.18694],[-90.21128,36.183392],[-90.220425,36.184764],[-90.23537,36.159153],[-90.231386,36.147348],[-90.235585,36.139474],[-90.266256,36.120559],[-90.293109,36.114368],[-90.29991,36.098236],[-90.319168,36.089976],[-90.320746,36.071326],[-90.333261,36.067504],[-90.337146,36.047754],[-90.347908,36.041939],[-90.351732,36.025347],[-90.37789,35.995683],[-89.733095,36.000608],[-89.719168,35.985976],[-89.719679,35.970939],[-89.714565,35.963034],[-89.652279,35.921462],[-89.644838,35.904351],[-89.64727,35.89492],[-89.665672,35.883301],[-89.677012,35.88572],[-89.688141,35.896946],[-89.714934,35.906247],[-89.741241,35.906749],[-89.768743,35.886663],[-89.773564,35.871697],[-89.769413,35.861558],[-89.704351,35.835726],[-89.701045,35.828227],[-89.706085,35.81826],[-89.734044,35.806174],[-89.765442,35.811214],[-89.781793,35.805084],[-89.799331,35.788503],[-89.799249,35.775439],[-89.821216,35.756716],[-89.846343,35.755732],[-89.877256,35.741369],[-89.909996,35.759396],[-89.956254,35.733386],[-89.955753,35.690621],[-89.931036,35.660044],[-89.898916,35.650904],[-89.886979,35.653637],[-89.878534,35.66482],[-89.864782,35.670385],[-89.851176,35.657432],[-89.856619,35.634444],[-89.894346,35.615535],[-89.910687,35.617536],[-89.945405,35.601611],[-89.956749,35.590511],[-89.95669,35.581426],[-89.941393,35.556555],[-89.910789,35.547515],[-89.910885,35.541072],[-89.903882,35.534175],[-89.911931,35.51741],[-89.919331,35.51387],[-89.951248,35.521866],[-89.956347,35.525594],[-89.958498,35.541703],[-89.989363,35.560043],[-90.02862,35.555249],[-90.039744,35.548041],[-90.050277,35.515275],[-90.043517,35.492298],[-90.018842,35.464816],[-90.031584,35.427662],[-90.04057,35.422925],[-90.056644,35.403786],[-90.041563,35.39662],[-90.044856,35.392964],[-90.054451,35.38965],[-90.069283,35.408306],[-90.062018,35.41518],[-90.070549,35.423291],[-90.074082,35.433983],[-90.067138,35.464833],[-90.085009,35.478835],[-90.107723,35.476935],[-90.114412,35.472467],[-90.129448,35.441931],[-90.169002,35.421853],[-90.179265,35.385194],[-90.166246,35.374745],[-90.13551,35.376668],[-90.146191,35.399468],[-90.143448,35.406671],[-90.130475,35.413745],[-90.112504,35.410153],[-90.09665,35.395257],[-90.074992,35.384152],[-90.087903,35.36327],[-90.110293,35.342786],[-90.103862,35.332405],[-90.109093,35.304987],[-90.139504,35.298828],[-90.149794,35.303288],[-90.158913,35.300637],[-90.168794,35.279088],[-90.152094,35.255989],[-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,{"id":70033884,"text":"70033884 - 2011 - Calibration of models using groundwater age","interactions":[],"lastModifiedDate":"2020-01-28T17:06:03","indexId":"70033884","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Calibration of models using groundwater age","docAbstract":"There have been substantial efforts recently by geochemists to determine the age of groundwater (time since water entered the system) and its uncertainty, and by hydrologists to use these data to help calibrate groundwater models. This essay discusses the calibration of models using groundwater age, with conclusions that emphasize what is practical given current limitations rather than theoretical possibilities.","language":"English, French","publisher":"Springer","doi":"10.1007/s10040-010-0637-6","issn":"14312174","usgsCitation":"Sanford, W.E., 2011, Calibration of models using groundwater age: Hydrogeology Journal, v. 19, no. 1, p. 13-16, https://doi.org/10.1007/s10040-010-0637-6.","productDescription":"4 p.","startPage":"13","endPage":"16","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-09-24","publicationStatus":"PW","scienceBaseUri":"5059f316e4b0c8380cd4b5c1","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":780677,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034733,"text":"70034733 - 2011 - Statistical models of temperature in the Sacramento-San Joaquin delta under climate-change scenarios and ecological implications","interactions":[],"lastModifiedDate":"2018-06-08T13:44:54","indexId":"70034733","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Statistical models of temperature in the Sacramento-San Joaquin delta under climate-change scenarios and ecological implications","docAbstract":"<p><span>Changes in water temperatures caused by climate change in California’s Sacramento–San Joaquin Delta will affect the ecosystem through physiological rates of fishes and invertebrates. This study presents statistical models that can be used to forecast water temperature within the Delta as a response to atmospheric conditions. The daily average model performed well (</span><i class=\"EmphasisTypeItalic \">R</i><span><span>&nbsp;</span></span><sup>2</sup><span>values greater than 0.93 during verification periods) for all stations within the Delta and San Francisco Bay provided there was at least 1&nbsp;year of calibration data. To provide long-term projections of Delta water temperature, we forced the model with downscaled data from climate scenarios. Based on these projections, the ecological implications for the delta smelt, a key species, were assessed based on temperature thresholds. The model forecasts increases in the number of days above temperatures causing high mortality (especially along the Sacramento River) and a shift in thermal conditions for spawning to earlier in the year.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-010-9369-z","issn":"15592723","usgsCitation":"Wagner, R., Stacey, M., Brown, L.R., and Dettinger, M., 2011, Statistical models of temperature in the Sacramento-San Joaquin delta under climate-change scenarios and ecological implications: Estuaries and Coasts, v. 34, no. 3, p. 544-556, https://doi.org/10.1007/s12237-010-9369-z.","productDescription":"13 p.","startPage":"544","endPage":"556","numberOfPages":"13","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":475211,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-010-9369-z","text":"Publisher Index Page"},{"id":243578,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-02-01","publicationStatus":"PW","scienceBaseUri":"505b9705e4b08c986b31b834","contributors":{"authors":[{"text":"Wagner, R.W.","contributorId":48784,"corporation":false,"usgs":true,"family":"Wagner","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":447273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stacey, Mark T.","contributorId":94531,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark T.","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering,  University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":447274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":447275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":146383,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","email":"mddettin@usgs.gov","affiliations":[],"preferred":false,"id":447276,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036259,"text":"70036259 - 2011 - A hierarchical spatial framework and database for the national river fish habitat condition assessment","interactions":[],"lastModifiedDate":"2026-01-28T14:45:30.141569","indexId":"70036259","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical spatial framework and database for the national river fish habitat condition assessment","docAbstract":"Fisheries management programs, such as the National Fish Habitat Action Plan (NFHAP), urgently need a nationwide spatial framework and database for health assessment and policy development to protect and improve riverine systems. To meet this need, we developed a spatial framework and database using National Hydrography Dataset Plus (I-.100,000-scale); http://www.horizon-systems.com/nhdplus). This framework uses interconfluence river reaches and their local and network catchments as fundamental spatial river units and a series of ecological and political spatial descriptors as hierarchy structures to allow users to extract or analyze information at spatial scales that they define. This database consists of variables describing channel characteristics, network position/connectivity, climate, elevation, gradient, and size. It contains a series of catchment-natural and human-induced factors that are known to influence river characteristics. Our framework and database assembles all river reaches and their descriptors in one place for the first time for the conterminous United States. This framework and database provides users with the capability of adding data, conducting analyses, developing management scenarios and regulation, and tracking management progresses at a variety of spatial scales. This database provides the essential data needs for achieving the objectives of NFHAP and other management programs. The downloadable beta version database is available at http://ec2-184-73-40-15.compute-1.amazonaws.com/nfhap/main/.","language":"English, Spanish","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/03632415.2011.607075","issn":"03632415","usgsCitation":"Wang, L., Infante, D., Esselman, P., Cooper, A., Wu, D., Taylor, W., Beard, D., Whelan, G., and Ostroff, A., 2011, A hierarchical spatial framework and database for the national river fish habitat condition assessment: Fisheries, v. 36, no. 9, p. 436-449, https://doi.org/10.1080/03632415.2011.607075.","productDescription":"14 p.","startPage":"436","endPage":"449","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":218397,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2011.607075"},{"id":246399,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":475255,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/141797","text":"External Repository"}],"volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-07","publicationStatus":"PW","scienceBaseUri":"5059e41ce4b0c8380cd463ff","contributors":{"authors":[{"text":"Wang, L.","contributorId":76904,"corporation":false,"usgs":true,"family":"Wang","given":"L.","email":"","affiliations":[],"preferred":false,"id":455148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Infante, D.","contributorId":71418,"corporation":false,"usgs":true,"family":"Infante","given":"D.","affiliations":[],"preferred":false,"id":455147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, P.","contributorId":67763,"corporation":false,"usgs":true,"family":"Esselman","given":"P.","email":"","affiliations":[],"preferred":false,"id":455146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, A.","contributorId":47517,"corporation":false,"usgs":true,"family":"Cooper","given":"A.","affiliations":[],"preferred":false,"id":455142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, D.","contributorId":57215,"corporation":false,"usgs":true,"family":"Wu","given":"D.","email":"","affiliations":[],"preferred":false,"id":455145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, W.","contributorId":51140,"corporation":false,"usgs":true,"family":"Taylor","given":"W.","email":"","affiliations":[],"preferred":false,"id":455143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beard, D.","contributorId":6305,"corporation":false,"usgs":true,"family":"Beard","given":"D.","email":"","affiliations":[],"preferred":false,"id":455140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whelan, G.","contributorId":52775,"corporation":false,"usgs":true,"family":"Whelan","given":"G.","email":"","affiliations":[],"preferred":false,"id":455144,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostroff, A.","contributorId":36401,"corporation":false,"usgs":true,"family":"Ostroff","given":"A.","affiliations":[],"preferred":false,"id":455141,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70033945,"text":"70033945 - 2011 - Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033945","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","docAbstract":"Genetic data are increasingly being used in conservation planning for declining species. We sampled both the ecological and distributional limits of the foothill yellow-legged frog, Rana boylii to characterize mitochondrial DNA (mtDNA) variation in this declining, riverine amphibian. We evaluated 1525 base pairs (bp) of cytochrome b and ND2 fragments for 77 individuals from 34 localities using phylogenetic and population genetic analyses. We constructed gene trees using maximum likelihood and Bayesian inference, and quantified genetic variance (using AMOVA and partial Mantel tests) within and among hydrologic regions and river basins. Several moderately supported, geographically-cohesive mtDNA clades were recovered for R. boylii. While genetic variation was low among populations in the largest, most inclusive clade, samples from localities at the edges of the geographic range demonstrated substantial genetic divergence from each other and from more central populations. Hydrologic regions and river basins, which represent likely dispersal corridors for R. boylii, accounted for significant levels of genetic variation. These results suggest that both rivers and larger hydrologic and geographic regions should be used in conservation planning for R. boylii. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10592-010-0138-0","issn":"15660621","usgsCitation":"Lind, A., Spinks, P., Fellers, G.M., and Shaffer, H., 2011, Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers: Conservation Genetics, v. 12, no. 1, p. 269-284, https://doi.org/10.1007/s10592-010-0138-0.","startPage":"269","endPage":"284","numberOfPages":"16","costCenters":[],"links":[{"id":214509,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-010-0138-0"},{"id":242243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-09","publicationStatus":"PW","scienceBaseUri":"505a94aae4b0c8380cd81546","contributors":{"authors":[{"text":"Lind, A.J.","contributorId":46763,"corporation":false,"usgs":true,"family":"Lind","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":443325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spinks, P.Q.","contributorId":13454,"corporation":false,"usgs":true,"family":"Spinks","given":"P.Q.","email":"","affiliations":[],"preferred":false,"id":443323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fellers, G. M.","contributorId":82653,"corporation":false,"usgs":true,"family":"Fellers","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":443326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, H.B.","contributorId":32106,"corporation":false,"usgs":true,"family":"Shaffer","given":"H.B.","email":"","affiliations":[],"preferred":false,"id":443324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005579,"text":"70005579 - 2011 - Informal and formal trail monitoring protocols and baseline conditions: Acadia National Park","interactions":[],"lastModifiedDate":"2016-12-06T13:33:34","indexId":"70005579","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Informal and formal trail monitoring protocols and baseline conditions: Acadia National Park","docAbstract":"At Acadia National Park, changing visitor use levels and patterns have contributed to an increasing degree of visitor use impacts to natural and cultural resources. To better understand the extent and severity of these resource impacts and identify effective management techniques, the park sponsored this research to develop monitoring protocols, collect baseline data, and identify suggestions for management strategies. Formal and informal trails were surveyed and their resource conditions were assessed and characterized to support park planning and management decision-making.","language":"English","publisher":"Virginia Tech College of Natural Resources & Environment","publisherLocation":"Blacksburg, VA","usgsCitation":"Marion, J.L., Wimpey, J.F., and Park, L., 2011, Informal and formal trail monitoring protocols and baseline conditions: Acadia National Park, iii, 95 p.","productDescription":"iii, 95 p.","numberOfPages":"98","ipdsId":"IP-030097","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5847dc7fe4b06d80b7af6ab9","contributors":{"authors":[{"text":"Marion, Jeffrey L.","contributorId":56322,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":654984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimpey, Jeremy F.","contributorId":83769,"corporation":false,"usgs":true,"family":"Wimpey","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Park, L.","contributorId":36269,"corporation":false,"usgs":true,"family":"Park","given":"L.","email":"","affiliations":[],"preferred":false,"id":654986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036441,"text":"70036441 - 2011 - High-resolution three-dimensional imaging and analysis of rock falls in Yosemite valley, California","interactions":[],"lastModifiedDate":"2018-09-27T11:03:37","indexId":"70036441","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution three-dimensional imaging and analysis of rock falls in Yosemite valley, California","docAbstract":"<p><span>We present quantitative analyses of recent large rock falls in Yosemite Valley, California, using integrated high-resolution imaging techniques. Rock falls commonly occur from the glacially sculpted granitic walls of Yosemite Valley, modifying this iconic landscape but also posing significant potential hazards and risks. Two large rock falls occurred from the cliff beneath Glacier Point in eastern Yosemite Valley on 7 and 8 October 2008, causing minor injuries and damaging structures in a developed area. We used a combination of gigapixel photography, airborne laser scanning (ALS) data, and ground-based terrestrial laser scanning (TLS) data to characterize the rock-fall detachment surface and adjacent cliff area, quantify the rock-fall volume, evaluate the geologic structure that contributed to failure, and assess the likely failure mode. We merged the ALS and TLS data to resolve the complex, vertical to overhanging topography of the Glacier Point area in three dimensions, and integrated these data with gigapixel photographs to fully image the cliff face in high resolution. Three-dimensional analysis of repeat TLS data reveals that the cumulative failure consisted of a near-planar rock slab with a maximum length of 69.0 m, a mean thickness of 2.1 m, a detachment surface area of 2750 m</span><sup>2</sup><span>, and a volume of 5663 ± 36 m</span><sup>3</sup><span>. Failure occurred along a surface-parallel, vertically oriented sheeting joint in a clear example of granitic exfoliation. Stress concentration at crack tips likely propagated fractures through the partially attached slab, leading to failure. Our results demonstrate the utility of high-resolution imaging techniques for quantifying far-range (&gt;1 km) rock falls occurring from the largely inaccessible, vertical rock faces of Yosemite Valley, and for providing highly accurate and precise data needed for rock-fall hazard assessment.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00617.1","issn":"1553040X","usgsCitation":"Stock, G.M., Bawden, G.W., Green, J., Hanson, E., Downing, G., Collins, B.D., Bond, S., and Leslar, M., 2011, High-resolution three-dimensional imaging and analysis of rock falls in Yosemite valley, California: Geosphere, v. 7, no. 2, p. 573-581, https://doi.org/10.1130/GES00617.1.","productDescription":"9 p.","startPage":"573","endPage":"581","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":475299,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00617.1","text":"Publisher Index Page"},{"id":246162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218177,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00617.1"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a313ae4b0c8380cd5dd3f","contributors":{"authors":[{"text":"Stock, Gregory M.","contributorId":7493,"corporation":false,"usgs":true,"family":"Stock","given":"Gregory","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":456175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":456179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, J.K.","contributorId":93746,"corporation":false,"usgs":true,"family":"Green","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":456181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, E.","contributorId":23796,"corporation":false,"usgs":true,"family":"Hanson","given":"E.","email":"","affiliations":[],"preferred":false,"id":456177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downing, G.","contributorId":69828,"corporation":false,"usgs":true,"family":"Downing","given":"G.","email":"","affiliations":[],"preferred":false,"id":456180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":456178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bond, Sandra 0000-0003-0522-5287 sbond@usgs.gov","orcid":"https://orcid.org/0000-0003-0522-5287","contributorId":3328,"corporation":false,"usgs":true,"family":"Bond","given":"Sandra","email":"sbond@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":456182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leslar, M.","contributorId":17862,"corporation":false,"usgs":true,"family":"Leslar","given":"M.","email":"","affiliations":[],"preferred":false,"id":456176,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033938,"text":"70033938 - 2011 - Probabilistic fault displacement hazards for the southern san andreas fault using scenarios and empirical slips","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033938","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic fault displacement hazards for the southern san andreas fault using scenarios and empirical slips","docAbstract":"We apply a probabilistic method to develop fault displacement hazard maps and profiles for the southern San Andreas Fault. Two slip models are applied: (1) scenario slip, defined by the ShakeOut rupture model, and (2) empirical slip, calculated using regression equations relating global slip to earthquake magnitude and distance along the fault. The hazard is assessed using a range of magnitudes defined by the Uniform California Earthquake Rupture Forecast and the ShakeOut. For hazard mapping we develop a methodology to partition displacement among multiple fault branches basedon geological observations. Estimated displacement hazard extends a few kilometers wide in areas of multiple mapped fault branches and poor mapping accuracy. Scenario and empirical displacement hazard differs by a factor of two or three, particularly along the southernmost section of the San Andreas Fault. We recommend the empirical slip model with site-specific geological data to constrain uncertainties for engineering applications. ?? 2011, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.3574226","issn":"87552930","usgsCitation":"Chen, R., and Petersen, M., 2011, Probabilistic fault displacement hazards for the southern san andreas fault using scenarios and empirical slips: Earthquake Spectra, v. 27, no. 2, p. 293-313, https://doi.org/10.1193/1.3574226.","startPage":"293","endPage":"313","numberOfPages":"21","costCenters":[],"links":[{"id":214420,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.3574226"},{"id":242144,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-01","publicationStatus":"PW","scienceBaseUri":"505a8c8fe4b0c8380cd7e763","contributors":{"authors":[{"text":"Chen, R.","contributorId":23312,"corporation":false,"usgs":true,"family":"Chen","given":"R.","email":"","affiliations":[],"preferred":false,"id":443292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, M.D.","contributorId":51319,"corporation":false,"usgs":false,"family":"Petersen","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":443293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036218,"text":"70036218 - 2011 - A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean","interactions":[],"lastModifiedDate":"2021-01-25T19:06:23.937446","indexId":"70036218","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"49","title":"A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean","docAbstract":"<p><span>The Lomonosov microcontinent is an elongated continental fragment that transects the Arctic Ocean between North America and Siberia via the North Pole. Although it lies beneath polar pack ice, the geological framework of the microcontinent is inferred from sparse seismic reflection data, a few cores, potential field data and the geology of its conjugate margin in the Barents–Kara Shelf. Petroleum systems inferred to be potentially active are comparable to those sourced by condensed Triassic and Jurassic marine shale of the Barents Platform and by condensed Jurassic and (or) Cretaceous shale probably present in the adjacent Amerasia Basin. Cenozoic deposits are known to contain rich petroleum source rocks but are too thermally immature to have generated petroleum. For the 2008 USGS Circum Arctic Resource Appraisal (CARA), the microcontinent was divided into shelf and slope assessment units (AUs) at the tectonic hinge line along the Amerasia Basin margin. A low to moderate probability of accumulation in the slope AU yielded fully risked mean estimates of 123 MMBO oil and 740 BCF gas. For the shelf AU, no quantitative assessment was made because the probability of petroleum accumulations of the 50 MMBOE minimum size was estimated to be less than 10% owing to rift-related uplift, erosion and faulting.</span></p>","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.49","issn":"04354052","usgsCitation":"Moore, T.E., Grantz, A., Pitman, J.K., and Brown, P., 2011, A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean: Geological Society Memoir, v. 35, p. 751-769, https://doi.org/10.1144/M35.49.","productDescription":"19 p.","startPage":"751","endPage":"769","numberOfPages":"19","ipdsId":"IP-021684","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":246178,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218192,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.49"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46de4b0c8380cd4bd1c","contributors":{"authors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":454940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grantz, Arthur agrantz@usgs.gov","contributorId":2585,"corporation":false,"usgs":true,"family":"Grantz","given":"Arthur","email":"agrantz@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":454939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":454942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Philip J.","contributorId":70483,"corporation":false,"usgs":true,"family":"Brown","given":"Philip J.","affiliations":[],"preferred":false,"id":454941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036439,"text":"70036439 - 2011 - Location and agricultural practices influence spring use of harvested cornfields by cranes and geese in Nebraska","interactions":[],"lastModifiedDate":"2021-01-11T17:41:48.795813","indexId":"70036439","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Location and agricultural practices influence spring use of harvested cornfields by cranes and geese in Nebraska","docAbstract":"<p><span>Millions of ducks, geese, and sandhill cranes (</span><i>Grus canadensis</i><span>; hereafter cranes) stop in the Central Platte River Valley (CPRV) of Nebraska to store nutrients for migration and reproduction by consuming corn remaining in fields after harvest. We examined factors that influence use of cornfields by cranes and geese (all mid‐continent species combined; e.g.,&nbsp;</span><i>Anser</i><span>,&nbsp;</span><i>Chen</i><span>, and&nbsp;</span><i>Branta</i><span>&nbsp;spp.) because it is a key step to efficient conservation planning aimed at ensuring that adequate food resources are available to migratory birds stopping in the CPRV. Distance to night‐time roost site, segment of the CPRV (west to east), and agricultural practices (post‐harvest treatment of cornfields: idle, grazed, mulched, mulched and grazed, and tilled) were the most important and influential variables in our models for geese and cranes. Probability of cornfield use by geese and cranes decreased with increasing distance from the closest potential roosting site. The use of cornfields by geese increased with the density of corn present there during the early migration period, but field use by cranes appeared not to be influenced by early migration corn density. However, probability of cornfield use by cranes did increase with the amount of wet grassland habitat within 4.8 km of the field. Geese were most likely to use fields that were tilled and least likely to use fields that were mulched and grazed. Cranes were most likely to use fields that were mulched and least likely to use fields that were tilled, but grazing appeared not to influence the likelihood of field use by cranes. Geese were more likely to use cornfields in western segments of the CPRV, but cranes were more likely to use cornfields in eastern segments. Our data suggest that managers could favor crane use of fields and reduce direct competition with geese by reducing fall and spring tilling and increasing mulching. Moreover, crane conservation efforts would be most beneficial if they were focused in the eastern portions of the CPRV and in fields as close as possible to both known roosting and large amounts of wet grassland habitats.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.135","issn":"0022541X","usgsCitation":"Anteau, M.J., Sherfy, M.H., and Bishop, A., 2011, Location and agricultural practices influence spring use of harvested cornfields by cranes and geese in Nebraska: Journal of Wildlife Management, v. 75, no. 5, p. 1004-1011, https://doi.org/10.1002/jwmg.135.","productDescription":"8 p.","startPage":"1004","endPage":"1011","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":246132,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218147,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.135"}],"country":"United States","state":"Nebraska","otherGeospatial":"Central Platte River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.6240234375,\n              40.91351257612758\n            ],\n            [\n              -99.55810546875,\n              40.56389453066509\n            ],\n            [\n              -98.41552734375,\n              40.56389453066509\n            ],\n            [\n              -98.06396484375,\n              40.730608477796636\n            ],\n            [\n              -98.02001953125,\n              40.97989806962013\n            ],\n            [\n              -98.6572265625,\n              40.93011520598305\n            ],\n            [\n              -99.6240234375,\n              40.91351257612758\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-04-21","publicationStatus":"PW","scienceBaseUri":"505a4903e4b0c8380cd682d0","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":456170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":456171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, A.A.","contributorId":48423,"corporation":false,"usgs":true,"family":"Bishop","given":"A.A.","email":"","affiliations":[],"preferred":false,"id":456172,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033912,"text":"70033912 - 2011 - Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 2: The Chaco Halo, Mesa Verde, Pajarito Plateau/Bandelier, and Zuni Archaeological Regions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033912","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2181,"text":"Journal of Archaeological Method and Theory","active":true,"publicationSubtype":{"id":10}},"title":"Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 2: The Chaco Halo, Mesa Verde, Pajarito Plateau/Bandelier, and Zuni Archaeological Regions","docAbstract":"Chemical and nutrient analyses of 471 soil samples from 161 sites within four archaeological regions (Pajarito Plateau/Bandelier, Zuni, Mesa Verde, and the Chaco Halo) were combined with historical climate data in order to evaluate the agricultural productivity of each region. In addition, maize productivity and field-life calculations were performed using organic-nitrogen (N) values from the upper 50 cm of soil in each region and a range (1-3%/year) of N-mineralization rates. The endmember values of this range were assumed representative of dry and wet climate states. With respect to precipitation and heat, the Pajarito Plateau area has excellent agricultural potential; the agricultural potentials of the Zuni and Mesa Verde regions are good; and the agricultural potential of the Chaco Halo is poor. Calculations of N mineralization and field life indicate that Morfield Valley in Mesa Verde should be able to provide 10 bu/ac of maize for decades (without the addition of N) when organic N-mineralization rates exceed 2%. Productivity and field-life potential decrease in the following order: Zuni, Mesa Verde, Bandelier, Chaco Halo. The Chaco Halo is very unproductive; e. g., 10 bushels per acre can be achieved within the Halo only from soils having the highest organic N concentration (third quartile) and which undergo the highest rate (3%) of N mineralization. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Archaeological Method and Theory","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10816-010-9083-y","issn":"10725369","usgsCitation":"Benson, L.V., 2011, Factors Controlling Pre-Columbian and Early Historic Maize Productivity in the American Southwest, Part 2: The Chaco Halo, Mesa Verde, Pajarito Plateau/Bandelier, and Zuni Archaeological Regions: Journal of Archaeological Method and Theory, v. 18, no. 1, p. 61-109, https://doi.org/10.1007/s10816-010-9083-y.","startPage":"61","endPage":"109","numberOfPages":"49","costCenters":[],"links":[{"id":214536,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10816-010-9083-y"},{"id":242271,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-06-01","publicationStatus":"PW","scienceBaseUri":"505a0e97e4b0c8380cd53527","contributors":{"authors":[{"text":"Benson, L. V.","contributorId":50159,"corporation":false,"usgs":true,"family":"Benson","given":"L.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":443142,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036014,"text":"70036014 - 2011 - Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results","interactions":[],"lastModifiedDate":"2021-02-03T20:37:34.106848","indexId":"70036014","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results","docAbstract":"<p id=\"sp0045\">Examination of the mid-Pliocene Warm Period (mPWP; ~&nbsp;3.3 to 3.0&nbsp;<span>Ma BP) provides an excellent opportunity to test the ability of climate models to reproduce warm climate states, thereby assessing our confidence in model predictions. To do this it is necessary to relate the uncertainty in model simulations of mPWP climate to uncertainties in projections of future climate change. The uncertainties introduced by the model can be estimated through the use of a Perturbed Physics Ensemble (PPE). Developing on the UK Met Office Quantifying Uncertainty in Model Predictions (QUMP) Project, this paper presents the results from an initial investigation using the end members of a PPE in a fully coupled atmosphere–ocean model (HadCM3) running with appropriate mPWP boundary conditions. Prior work has shown that the unperturbed version of HadCM3 may underestimate mPWP&nbsp;<a title=\"Learn more about Sea Surface Temperature from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/sea-surface-temperature\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/sea-surface-temperature\">sea surface temperatures</a>&nbsp;at&nbsp;<a title=\"Learn more about Polar Region from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/polar-region\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/polar-region\">higher latitudes</a>. Initial results indicate that neither the low sensitivity nor the high sensitivity simulations produce unequivocally improved mPWP&nbsp;<a title=\"Learn more about Climatology from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/climatology\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/climatology\">climatology</a>&nbsp;relative to the standard. Whilst the high sensitivity simulation was able to reconcile up to 6</span>&nbsp;<span>°C of the data/model mismatch in sea surface temperatures in the high latitudes of the&nbsp;<a title=\"Learn more about Northern Hemisphere from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/northern-hemisphere\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/northern-hemisphere\">Northern Hemisphere</a>&nbsp;(relative to the standard simulation), it did not produce a better prediction of global vegetation than the standard simulation. Overall the low sensitivity simulation was degraded compared to the standard and high sensitivity simulations in all aspects of the data/model comparison.</span></p><p id=\"sp0050\">The results have shown that a PPE has the potential to explore weaknesses in mPWP modelling simulations which have been identified by geological proxies, but that a ‘best fit’ simulation will more likely come from a full ensemble in which simulations that contain the strengths of the two end member simulations shown here are combined.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.05.004","issn":"00310182","usgsCitation":"Pope, J., Collins, M., Haywood, A., Dowsett, H.J., Hunter, S., Lunt, D., Pickering, S., and Pound, M., 2011, Quantifying Uncertainty in Model Predictions for the Pliocene (Plio-QUMP): Initial results: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 309, no. 1-2, p. 128-140, https://doi.org/10.1016/j.palaeo.2011.05.004.","productDescription":"13 p.","startPage":"128","endPage":"140","costCenters":[],"links":[{"id":246453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218443,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.05.004"}],"volume":"309","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91bfe4b0c8380cd80433","contributors":{"authors":[{"text":"Pope, J.O.","contributorId":16257,"corporation":false,"usgs":true,"family":"Pope","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":453606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, M.","contributorId":49224,"corporation":false,"usgs":true,"family":"Collins","given":"M.","email":"","affiliations":[],"preferred":false,"id":453609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haywood, A.M.","contributorId":101050,"corporation":false,"usgs":true,"family":"Haywood","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":453611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":453610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, S.J.","contributorId":27704,"corporation":false,"usgs":true,"family":"Hunter","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":453607,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lunt, D.J.","contributorId":105127,"corporation":false,"usgs":true,"family":"Lunt","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":453612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pickering, S.J.","contributorId":6283,"corporation":false,"usgs":true,"family":"Pickering","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":453605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pound, M.J.","contributorId":41259,"corporation":false,"usgs":true,"family":"Pound","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":453608,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033906,"text":"70033906 - 2011 - U.S. Department of Energy's site screening, site selection, and initial characterization for storage of CO<sub>2</sub> in deep geological formations","interactions":[],"lastModifiedDate":"2017-05-24T12:16:07","indexId":"70033906","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S. Department of Energy's site screening, site selection, and initial characterization for storage of CO<sub>2</sub> in deep geological formations","docAbstract":"<p>The U.S. Department of Energy (DOE) is the lead Federal agency for the development and deployment of carbon sequestration technologies. As part of its mission to facilitate technology transfer and develop guidelines from lessons learned, DOE is developing a series of best practice manuals (BPMs) for carbon capture and storage (CCS). The \"Site Screening, Site Selection, and Initial Characterization for Storage of CO<sub>2</sub> in Deep Geological Formations\" BPM is a compilation of best practices and includes flowchart diagrams illustrating the general decision making process for Site Screening, Site Selection, and Initial Characterization. The BPM integrates the knowledge gained from various programmatic efforts, with particular emphasis on the Characterization Phase through pilot-scale <span>CO</span><sub>2</sub> injection testing of the Validation Phase of the Regional Carbon Sequestration Partnership (RCSP) Initiative. Key geologic and surface elements that suitable candidate storage sites should possess are identified, along with example Site Screening, Site Selection, and Initial Characterization protocols for large-scale geologic storage projects located across diverse geologic and regional settings. This manual has been written as a working document, establishing a framework and methodology for proper site selection for <span>CO</span><sub>2</sub>&nbsp;geologic storage. This will be useful for future <span>CO</span><sub>2</sub> emitters, transporters, and storage providers. It will also be of use in informing local, regional, state, and national governmental agencies of best practices in proper sequestration site selection. Furthermore, it will educate the inquisitive general public on options and processes for geologic <span>CO</span><sub>2</sub> storage. In addition to providing best practices, the manual presents a geologic storage resource and capacity classification system. The system provides a \"standard\" to communicate storage and capacity estimates, uncertainty and project development risk, data guidelines and analyses for adequate site characterization, and guidelines for reporting estimates within the classification based on each project's status.&nbsp;</p>","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"19 September 2010 through 23 September 2010","conferenceLocation":"Amsterdam","language":"English","doi":"10.1016/j.egypro.2011.02.427","issn":"18766102","usgsCitation":"Rodosta, T., Litynski, J., Plasynski, S., Hickman, S., Frailey, S., and Myer, L., 2011, U.S. Department of Energy's site screening, site selection, and initial characterization for storage of CO<sub>2</sub> in deep geological formations, <i>in</i> Energy Procedia, v. 4, Amsterdam, 19 September 2010 through 23 September 2010, p. 4664-4671, https://doi.org/10.1016/j.egypro.2011.02.427.","productDescription":"8 p.","startPage":"4664","endPage":"4671","costCenters":[],"links":[{"id":475383,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.427","text":"Publisher Index Page"},{"id":242174,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bba3ee4b08c986b32806d","contributors":{"authors":[{"text":"Rodosta, T.D.","contributorId":30057,"corporation":false,"usgs":true,"family":"Rodosta","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":443117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litynski, J.T.","contributorId":64043,"corporation":false,"usgs":true,"family":"Litynski","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":443120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plasynski, S.I.","contributorId":48398,"corporation":false,"usgs":true,"family":"Plasynski","given":"S.I.","email":"","affiliations":[],"preferred":false,"id":443118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, S.","contributorId":79995,"corporation":false,"usgs":true,"family":"Hickman","given":"S.","email":"","affiliations":[],"preferred":false,"id":443122,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frailey, S.","contributorId":66054,"corporation":false,"usgs":true,"family":"Frailey","given":"S.","email":"","affiliations":[],"preferred":false,"id":443121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Myer, L.","contributorId":53182,"corporation":false,"usgs":true,"family":"Myer","given":"L.","email":"","affiliations":[],"preferred":false,"id":443119,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036150,"text":"70036150 - 2011 - Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA)","interactions":[],"lastModifiedDate":"2021-01-26T21:05:33.609315","indexId":"70036150","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA)","docAbstract":"<p><span>Identifying materials by measuring and analyzing their reflectance spectra has been an important method in analytical chemistry for decades. Airborne and space-based imaging spectrometers allow scientists to detect materials and map their distributions across the landscape. With new satellite-borne hyperspectral sensors planned for the future, for example, HYSPIRI (HYPerspectral InfraRed Imager), robust methods are needed to fully exploit the information content of hyperspectral remote sensing data. A method of identifying and mapping materials using spectral feature based analysis of reflectance data in an expert-system framework called MICA (Material Identification and Characterization Algorithm) is described in this paper. The core concepts and calculations of MICA are presented. A MICA command file has been developed and applied to map minerals in the full-country coverage of the 2007 Afghanistan HyMap hyperspectral data.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"International Geoscience and Remote Sensing Symposium (IGARSS)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011","conferenceDate":"July 24-29, 2011","conferenceLocation":"Vancouver, BC","language":"English","publisher":"Institute of Electrical and Electronic Engineers","doi":"10.1109/IGARSS.2011.6049370","isbn":"9781457710056","usgsCitation":"Kokaly, R.F., King, T.V., and Hoefen, T.M., 2011, Mapping the distribution of materials in hyperspectral data using the USGS Material Identification and Characterization Algorithm (MICA), <i>in</i> International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, BC, July 24-29, 2011, p. 1569-1572, https://doi.org/10.1109/IGARSS.2011.6049370.","productDescription":"4 p.","startPage":"1569","endPage":"1572","costCenters":[],"links":[{"id":475426,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1272791","text":"External Repository"},{"id":246565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218544,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/IGARSS.2011.6049370"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a507fe4b0c8380cd6b70d","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":454460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, T. V. V.","contributorId":6192,"corporation":false,"usgs":true,"family":"King","given":"T.","email":"","middleInitial":"V. V.","affiliations":[],"preferred":false,"id":454458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":454459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033815,"text":"70033815 - 2011 - GSD-1G and MPI-DING Reference Glasses for In Situ and Bulk Isotopic Determination","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033815","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"GSD-1G and MPI-DING Reference Glasses for In Situ and Bulk Isotopic Determination","docAbstract":"This paper contains the results of an extensive isotopic study of United States Geological Survey GSD-1G and MPI-DING reference glasses. Thirteen different laboratories were involved using high-precision bulk (TIMS, MC-ICP-MS) and microanalytical (LA-MC-ICP-MS, LA-ICP-MS) techniques. Detailed studies were performed to demonstrate the large-scale and small-scale homogeneity of the reference glasses. Together with previously published isotopic data from ten other laboratories, preliminary reference and information values as well as their uncertainties at the 95% confidence level were determined for H, O, Li, B, Si, Ca, Sr, Nd, Hf, Pb, Th and U isotopes using the recommendations of the International Association of Geoanalysts for certification of reference materials. Our results indicate that GSD-1G and the MPI-DING glasses are suitable reference materials for microanalytical and bulk analytical purposes. Ce document contient les r??sultats d'une importante ??tude isotopique des verres de r??f??rence USGS GSD-1G et MPI-DING. Treize laboratoires diff??rents ont particip?? au travers de techniques analytiques de haute pr??cision travaillant soit sur ??chantillon total (TIMS, MC-ICP-MS) soit par microanalyse ??in situ?? (LA-MC-ICP-MS, LA-ICP-MS). ?? 2010 The Authors. Geostandards and Geoanalytical Research ?? 2010 International Association of Geoanalysts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geostandards and Geoanalytical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1751-908X.2010.00114.x","issn":"16394488","usgsCitation":"Jochum, K., Wilson, S., Abouchami, W., Amini, M., Chmeleff, J., Eisenhauer, A., Hegner, E., Iaccheri, L., Kieffer, B., Krause, J., McDonough, W., Mertz-Kraus, R., Raczek, I., Rudnick, R., Scholz, D.K., Steinhoefel, G., Stoll, B., Stracke, A., Tonarini, S., Weis, D., Weis, U., and Woodhead, J., 2011, GSD-1G and MPI-DING Reference Glasses for In Situ and Bulk Isotopic Determination: Geostandards and Geoanalytical Research, v. 35, no. 2, p. 193-226, https://doi.org/10.1111/j.1751-908X.2010.00114.x.","startPage":"193","endPage":"226","numberOfPages":"34","costCenters":[],"links":[{"id":214531,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1751-908X.2010.00114.x"},{"id":242266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-09","publicationStatus":"PW","scienceBaseUri":"505a1486e4b0c8380cd54a91","contributors":{"authors":[{"text":"Jochum, K.P.","contributorId":35139,"corporation":false,"usgs":true,"family":"Jochum","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":442659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, S. A. 0000-0002-9468-0005","orcid":"https://orcid.org/0000-0002-9468-0005","contributorId":23561,"corporation":false,"usgs":true,"family":"Wilson","given":"S. A.","affiliations":[],"preferred":false,"id":442657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abouchami, W.","contributorId":103886,"corporation":false,"usgs":true,"family":"Abouchami","given":"W.","email":"","affiliations":[],"preferred":false,"id":442672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amini, M.","contributorId":6673,"corporation":false,"usgs":true,"family":"Amini","given":"M.","email":"","affiliations":[],"preferred":false,"id":442653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chmeleff, J.","contributorId":89733,"corporation":false,"usgs":true,"family":"Chmeleff","given":"J.","email":"","affiliations":[],"preferred":false,"id":442668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eisenhauer, A.","contributorId":101099,"corporation":false,"usgs":true,"family":"Eisenhauer","given":"A.","email":"","affiliations":[],"preferred":false,"id":442671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hegner, E.","contributorId":32304,"corporation":false,"usgs":true,"family":"Hegner","given":"E.","affiliations":[],"preferred":false,"id":442658,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iaccheri, L.M.","contributorId":39209,"corporation":false,"usgs":true,"family":"Iaccheri","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":442661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kieffer, B.","contributorId":71781,"corporation":false,"usgs":true,"family":"Kieffer","given":"B.","email":"","affiliations":[],"preferred":false,"id":442666,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krause, J.","contributorId":56874,"corporation":false,"usgs":true,"family":"Krause","given":"J.","email":"","affiliations":[],"preferred":false,"id":442663,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McDonough, W.F.","contributorId":97314,"corporation":false,"usgs":true,"family":"McDonough","given":"W.F.","email":"","affiliations":[],"preferred":false,"id":442670,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mertz-Kraus, R.","contributorId":15024,"corporation":false,"usgs":true,"family":"Mertz-Kraus","given":"R.","email":"","affiliations":[],"preferred":false,"id":442655,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raczek, I.","contributorId":83751,"corporation":false,"usgs":true,"family":"Raczek","given":"I.","email":"","affiliations":[],"preferred":false,"id":442667,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rudnick, R.L.","contributorId":90122,"corporation":false,"usgs":true,"family":"Rudnick","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":442669,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scholz, Donna K.","contributorId":105135,"corporation":false,"usgs":true,"family":"Scholz","given":"Donna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":442673,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Steinhoefel, G.","contributorId":54421,"corporation":false,"usgs":true,"family":"Steinhoefel","given":"G.","email":"","affiliations":[],"preferred":false,"id":442662,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stoll, B.","contributorId":7926,"corporation":false,"usgs":true,"family":"Stoll","given":"B.","email":"","affiliations":[],"preferred":false,"id":442654,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stracke, A.","contributorId":108326,"corporation":false,"usgs":true,"family":"Stracke","given":"A.","affiliations":[],"preferred":false,"id":442674,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tonarini, S.","contributorId":38790,"corporation":false,"usgs":true,"family":"Tonarini","given":"S.","email":"","affiliations":[],"preferred":false,"id":442660,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Weis, D.","contributorId":62035,"corporation":false,"usgs":true,"family":"Weis","given":"D.","affiliations":[],"preferred":false,"id":442664,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Weis, U.","contributorId":15025,"corporation":false,"usgs":true,"family":"Weis","given":"U.","email":"","affiliations":[],"preferred":false,"id":442656,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Woodhead, J.D.","contributorId":70608,"corporation":false,"usgs":true,"family":"Woodhead","given":"J.D.","affiliations":[],"preferred":false,"id":442665,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70036147,"text":"70036147 - 2011 - The application of prototype point processes for the summary and description of California wildfires","interactions":[],"lastModifiedDate":"2021-01-27T13:22:30.851704","indexId":"70036147","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2477,"text":"Journal of Time Series Analysis","active":true,"publicationSubtype":{"id":10}},"title":"The application of prototype point processes for the summary and description of California wildfires","docAbstract":"<p><span>A method for summarizing repeated realizations of a space‐time marked point process, known as prototyping, is discussed and applied to catalogues of wildfires in California. Prototype summaries are constructed for varying time intervals using California wildfire data from 1990 to 2006. Previous work on prototypes for temporal and space‐time point processes is extended here to include methods for computing prototypes with marks and the incorporation of prototype summaries into hierarchical clustering algorithms, the latter of which is used to delineate fire seasons in California. Other results include summaries of patterns in the spatial‐temporal distribution of wildfires within each wildfire season.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1467-9892.2011.00734.x","issn":"01439782","usgsCitation":"Nichols, K., Schoenberg, F., Keeley, J.E., Bray, A., and Diez, D., 2011, The application of prototype point processes for the summary and description of California wildfires: Journal of Time Series Analysis, v. 32, no. 4, p. 420-429, https://doi.org/10.1111/j.1467-9892.2011.00734.x.","productDescription":"10 p.","startPage":"420","endPage":"429","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":246498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218483,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1467-9892.2011.00734.x"}],"country":"United 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 \"}}]}","volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-06","publicationStatus":"PW","scienceBaseUri":"505ba9c5e4b08c986b3224d4","contributors":{"authors":[{"text":"Nichols, K.","contributorId":46286,"corporation":false,"usgs":true,"family":"Nichols","given":"K.","affiliations":[],"preferred":false,"id":454444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenberg, F.P.","contributorId":56438,"corporation":false,"usgs":true,"family":"Schoenberg","given":"F.P.","email":"","affiliations":[],"preferred":false,"id":454445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":454446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bray, A.","contributorId":17459,"corporation":false,"usgs":true,"family":"Bray","given":"A.","email":"","affiliations":[],"preferred":false,"id":454443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diez, D.","contributorId":14236,"corporation":false,"usgs":true,"family":"Diez","given":"D.","email":"","affiliations":[],"preferred":false,"id":454442,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036146,"text":"70036146 - 2011 - Evaluation of a black-footed ferret resource utilization function model","interactions":[],"lastModifiedDate":"2021-01-27T17:49:53.699457","indexId":"70036146","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a black-footed ferret resource utilization function model","docAbstract":"<p><span>Resource utilization function (RUF) models permit evaluation of potential habitat for endangered species; ideally such models should be evaluated before use in management decision‐making. We evaluated the predictive capabilities of a previously developed black‐footed ferret (</span><i>Mustela nigripes</i><span>) RUF. Using the population‐level RUF, generated from ferret observations at an adjacent yet distinct colony, we predicted the distribution of ferrets within a black‐tailed prairie dog (</span><i>Cynomys ludovicianus</i><span>) colony in the Conata Basin, South Dakota, USA. We evaluated model performance, using data collected during post‐breeding spotlight surveys (2007–2008) by assessing model agreement via weighted compositional analysis and count‐metrics. Compositional analysis of home range use and colony‐level availability, and core area use and home range availability, demonstrated ferret selection of the predicted Very high and High occurrence categories in 2007 and 2008. Simple count‐metrics corroborated these findings and suggested selection of the Very high category in 2007 and the Very high and High categories in 2008. Collectively, these results suggested that the RUF was useful in predicting occurrence and intensity of space use of ferrets at our study site, the 2 objectives of the RUF. Application of this validated RUF would increase the resolution of habitat evaluations, permitting prediction of the distribution of ferrets within distinct colonies. Additional model evaluation at other sites, on other black‐tailed prairie dog colonies of varying resource configuration and size, would increase understanding of influences upon model performance and the general utility of the RUF.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.130","issn":"0022541X","usgsCitation":"Eads, D., Millspaugh, J., Biggins, D.E., Jachowski, D., and Livieri, T., 2011, Evaluation of a black-footed ferret resource utilization function model: Journal of Wildlife Management, v. 75, no. 5, p. 1155-1163, https://doi.org/10.1002/jwmg.130.","productDescription":"9 p.","startPage":"1155","endPage":"1163","costCenters":[],"links":[{"id":246497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218482,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.130"}],"country":"United States","state":"South Dakota","otherGeospatial":"Buffalo Gap National Grasslands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.55712890625,\n              42.99661231842139\n            ],\n            [\n              -101.392822265625,\n              42.99661231842139\n            ],\n            [\n              -101.392822265625,\n              44.28453670601888\n            ],\n            [\n              -103.55712890625,\n              44.28453670601888\n            ],\n            [\n              -103.55712890625,\n              42.99661231842139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c2be4b0c8380cd52a72","contributors":{"authors":[{"text":"Eads, D.A.","contributorId":68973,"corporation":false,"usgs":true,"family":"Eads","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":454438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millspaugh, J.J.","contributorId":99105,"corporation":false,"usgs":true,"family":"Millspaugh","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":454441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":454439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jachowski, D.S.","contributorId":67309,"corporation":false,"usgs":true,"family":"Jachowski","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":454437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Livieri, T.M.","contributorId":96910,"corporation":false,"usgs":true,"family":"Livieri","given":"T.M.","affiliations":[],"preferred":false,"id":454440,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036145,"text":"70036145 - 2011 - Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake","interactions":[],"lastModifiedDate":"2021-01-27T18:28:49.065243","indexId":"70036145","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake","docAbstract":"<p><span>Since the work of Kanamori and Given (1981), it has been recognized that shallow, pure dip‐slip earthquakes excite long‐period surface waves such that it is difficult to independently constrain the moment (</span><i>M</i><sub>0</sub><span>) and the dip (</span><i>δ</i><span>) of the source mechanism, with only the product&nbsp;</span><i>M</i><sub>0</sub><span>&nbsp;sin(2</span><i>δ</i><span>) being well constrained. Because of this, it is often assumed that the primary discrepancies between the moments of shallow, thrust earthquakes are due to this moment‐dip tradeoff. In this work, we quantify how severe this moment‐dip tradeoff is depending on the depth of the earthquake, the station distribution, the closeness of the mechanism to pure dip‐slip, and the quality of the data. We find that both long‐period Rayleigh and Love wave modes have moment‐dip resolving power even for shallow events, especially when stations are close to certain azimuths with respect to mechanism strike and when source depth is well determined. We apply these results to USGS W phase inversions of the recent M9.0 Tohoku, Japan earthquake and estimate the likely uncertainties in dip and moment associated with the moment‐ dip tradeoff. After discussing some of the important sources of moment and dip error, we suggest two methods for potentially improving this uncertainty.</span></p>","largerWorkTitle":"Geophysical Research Letters","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL049129","issn":"00948276","usgsCitation":"Tsai, V., Hayes, G.P., and Duputel, Z., 2011, Constraints on the long-period moment-dip tradeoff for the Tohoku earthquake: Geophysical Research Letters, v. 38, no. 20, L00G17, 6 p., https://doi.org/10.1029/2011GL049129.","productDescription":"L00G17, 6 p.","costCenters":[],"links":[{"id":475422,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049129","text":"Publisher Index Page"},{"id":246496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049129"}],"volume":"38","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-10-25","publicationStatus":"PW","scienceBaseUri":"5059fa0ee4b0c8380cd4d8ee","contributors":{"authors":[{"text":"Tsai, V.C.","contributorId":41661,"corporation":false,"usgs":true,"family":"Tsai","given":"V.C.","email":"","affiliations":[],"preferred":false,"id":454435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":842,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":454436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duputel, Z.","contributorId":37587,"corporation":false,"usgs":true,"family":"Duputel","given":"Z.","affiliations":[],"preferred":false,"id":454434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036144,"text":"70036144 - 2011 - Thorium abundances of basalt ponds in South Pole-Aitken basin: Insights into the composition and evolution of the far side lunar mantle","interactions":[],"lastModifiedDate":"2019-02-18T08:49:06","indexId":"70036144","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Thorium abundances of basalt ponds in South Pole-Aitken basin: Insights into the composition and evolution of the far side lunar mantle","docAbstract":"<p><span>Imbrian-aged basalt ponds, located on the floor of South Pole-Aitken (SPA) basin, are used to provide constraints on the composition and evolution of the far side lunar mantle. We use forward modeling of the Lunar Prospector Gamma Ray Spectrometer thorium data, to suggest that at least five different and distinct portions of the far side lunar mantle contain little or no thorium as of the Imbrian Period. We also use spatial correlations between local thorium enhancements and nonmare material on top of the basalt ponds to support previous assertions that lower crustal materials exposed in SPA basin have elevated thorium abundances, consistent with noritic to gabbronoritic lithologies. We suggest that the lower crust on the far side of the Moon experienced multiple intrusions of thorium-rich basaltic magmas, prior to the formation of SPA basin. The fact that many of the ponds on the lunar far side have elevated titanium abundances indicates that the far side of the Moon experienced extensive fractional crystallization that likely led to the formation of a KREEP-like component. However, because the Imbrian-aged basalts contain no signs of elevated thorium, we propose that the SPA impact event triggered the transport of a KREEP-like component from the lunar far side and concentrated it on the nearside of the Moon. Because of the correlation between basaltic ponds and basins within SPA, we suggest that Imbrian-aged basaltic volcanism on the far side of the Moon was driven by basin-induced decompressional melting.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JE003723","issn":"01480227","usgsCitation":"Hagerty, J., Lawrence, D.J., and Hawke, B.R., 2011, Thorium abundances of basalt ponds in South Pole-Aitken basin: Insights into the composition and evolution of the far side lunar mantle: Journal of Geophysical Research E: Planets, v. 116, no. 6, p. 1-23, https://doi.org/10.1029/2010JE003723.","productDescription":"E06001; 23 p.","startPage":"1","endPage":"23","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":246463,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South Pole-Aitken basin","volume":"116","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505bb2e2e4b08c986b325a68","contributors":{"authors":[{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":454431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, D. J.","contributorId":84952,"corporation":false,"usgs":false,"family":"Lawrence","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":454433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawke, B. R.","contributorId":59591,"corporation":false,"usgs":false,"family":"Hawke","given":"B.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":454432,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033790,"text":"70033790 - 2011 - Diel activity of Gulf of Mexico sturgeon in a northwest Florida bay","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033790","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Diel activity of Gulf of Mexico sturgeon in a northwest Florida bay","docAbstract":"In this paper, we assess patterns in activity of Gulf of Mexico sturgeon Acipenser oxyrinchus desotoi over a 24-h period in the Pensacola bay system, Florida. Although seasonal migration of sturgeon is well documented, little information is available pertaining to daily variation in activity. We surgically implanted 58 Gulf sturgeon with acoustic transmitters in the Escambia (n=26), Yellow (n=8), Blackwater (n=12) and Choctawhatchee rivers (n=12) in June, July, September and October 2005. Gulf sturgeon location was monitored using an array of 56 fixed-station acoustic receivers. The relationship between frequency of Gulf sturgeon observations recorded on all acoustic receivers and time of day for all seasons combined indicated a strong diel activity pattern. Gulf sturgeon were frequently detected at night in all seasons with the exception of summer. Consecutive hourly observations indicated lateral movement of Gulf sturgeon between independent acoustic receivers on 15% of all observations of individuals. The use of an acoustic receiver array not only provides continuous data within a defined area, but also provides insight into nocturnal behavior of Gulf sturgeon not previously identified. ?? 2011 Blackwell Verlag, Berlin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1439-0426.2010.01641.x","issn":"01758659","usgsCitation":"Wrege, B., Duncan, M., and Isely, J.J., 2011, Diel activity of Gulf of Mexico sturgeon in a northwest Florida bay: Journal of Applied Ichthyology, v. 27, no. 2, p. 322-326, https://doi.org/10.1111/j.1439-0426.2010.01641.x.","startPage":"322","endPage":"326","numberOfPages":"5","costCenters":[],"links":[{"id":214113,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2010.01641.x"},{"id":241804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505a00bce4b0c8380cd4f8b1","contributors":{"authors":[{"text":"Wrege, B.M.","contributorId":100405,"corporation":false,"usgs":true,"family":"Wrege","given":"B.M.","affiliations":[],"preferred":false,"id":442492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncan, M.S.","contributorId":99750,"corporation":false,"usgs":true,"family":"Duncan","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":442491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":442490,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033787,"text":"70033787 - 2011 - Lithosphere-asthenosphere interaction beneath the western United States from the joint inversion of body-wave traveltimes and surface-wave phase velocities","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70033787","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Lithosphere-asthenosphere interaction beneath the western United States from the joint inversion of body-wave traveltimes and surface-wave phase velocities","docAbstract":"The relation between the complex geological history of the western margin of the North American plate and the processes in the mantle is still not fully documented and understood. Several pre-USArray local seismic studies showed how the characteristics of key geological features such as the Colorado Plateau and the Yellowstone Snake River Plains are linked to their deep mantle structure. Recent body-wave models based on the deployment of the high density, large aperture USArray have provided far more details on the mantle structure while surface-wave tomography (ballistic waves and noise correlations) informs us on the shallow structure. Here we combine constraints from these two data sets to image and study the link between the geology of the western United States, the shallow structure of the Earth and the convective processes in mantle. Our multiphase DNA10-S model provides new constraints on the extent of the Archean lithosphere imaged as a large, deeply rooted fast body that encompasses the stable Great Plains and a large portion of the Northern and Central Rocky Mountains. Widespread slow anomalies are found in the lower crust and upper mantle, suggesting that low-density rocks isostatically sustain part of the high topography of the western United States. The Yellowstone anomaly is imaged as a large slow body rising from the lower mantle, intruding the overlying lithosphere and controlling locally the seismicity and the topography. The large E-W extent of the USArray used in this study allows imaging the 'slab graveyard', a sequence of Farallon fragments aligned with the currently subducting Juan de Fuca Slab, north of the Mendocino Triple Junction. The lithospheric root of the Colorado Plateau has apparently been weakened and partly removed through dripping. The distribution of the slower regions around the Colorado Plateau and other rigid blocks follows closely the trend of Cenozoic volcanic fields and ancient lithospheric sutures, suggesting that the later exert a control on the locus of magmato-tectonic activity today. The DNA velocity models are available for download and slicing at http://dna.berkeley.edu. ?? 2011 The Authors Geophysical Journal International ?? 2011 RAS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2011.04990.x","issn":"0956540X","usgsCitation":"Obrebski, M., Allen, R.M., Pollitz, F., and Hung, S., 2011, Lithosphere-asthenosphere interaction beneath the western United States from the joint inversion of body-wave traveltimes and surface-wave phase velocities: Geophysical Journal International, v. 185, no. 2, p. 1003-1021, https://doi.org/10.1111/j.1365-246X.2011.04990.x.","startPage":"1003","endPage":"1021","numberOfPages":"19","costCenters":[],"links":[{"id":475379,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.04990.x","text":"Publisher Index Page"},{"id":214563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2011.04990.x"},{"id":242298,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-25","publicationStatus":"PW","scienceBaseUri":"505a4892e4b0c8380cd67f6b","contributors":{"authors":[{"text":"Obrebski, M.","contributorId":58853,"corporation":false,"usgs":true,"family":"Obrebski","given":"M.","email":"","affiliations":[],"preferred":false,"id":442472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, R. M.","contributorId":36170,"corporation":false,"usgs":false,"family":"Allen","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":442471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollitz, F.","contributorId":66449,"corporation":false,"usgs":true,"family":"Pollitz","given":"F.","affiliations":[],"preferred":false,"id":442474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hung, S.-H.","contributorId":59261,"corporation":false,"usgs":true,"family":"Hung","given":"S.-H.","email":"","affiliations":[],"preferred":false,"id":442473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033785,"text":"70033785 - 2011 - Comparison of Two Parametric Methods to Estimate Pesticide Mass Loads in California's Central Valley","interactions":[],"lastModifiedDate":"2018-02-15T13:34:13","indexId":"70033785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of Two Parametric Methods to Estimate Pesticide Mass Loads in California's Central Valley","docAbstract":"Mass loadings were calculated for four pesticides in two watersheds with different land uses in the Central Valley, California, by using two parametric models: (1) the Seasonal Wave model (SeaWave), in which a pulse signal is used to describe the annual cycle of pesticide occurrence in a stream, and (2) the Sine Wave model, in which first-order Fourier series sine and cosine terms are used to simulate seasonal mass loading patterns. The models were applied to data collected during water years 1997 through 2005. The pesticides modeled were carbaryl, diazinon, metolachlor, and molinate. Results from the two models show that the ability to capture seasonal variations in pesticide concentrations was affected by pesticide use patterns and the methods by which pesticides are transported to streams. Estimated seasonal loads compared well with results from previous studies for both models. Loads estimated by the two models did not differ significantly from each other, with the exceptions of carbaryl and molinate during the precipitation season, where loads were affected by application patterns and rainfall. However, in watersheds with variable and intermittent pesticide applications, the SeaWave model is more suitable for use on the basis of its robust capability of describing seasonal variation of pesticide concentrations. ?? 2010 American Water Resources Association. This article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2010.00506.x","issn":"1093474X","usgsCitation":"Saleh, D., Lorenz, D., and Domagalski, J.L., 2011, Comparison of Two Parametric Methods to Estimate Pesticide Mass Loads in California's Central Valley: Journal of the American Water Resources Association, v. 47, no. 2, p. 254-264, https://doi.org/10.1111/j.1752-1688.2010.00506.x.","startPage":"254","endPage":"264","numberOfPages":"11","costCenters":[],"links":[{"id":242263,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214529,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00506.x"}],"volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-06","publicationStatus":"PW","scienceBaseUri":"5059f849e4b0c8380cd4cfc3","contributors":{"authors":[{"text":"Saleh, D.K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":82748,"corporation":false,"usgs":true,"family":"Saleh","given":"D.K.","affiliations":[],"preferred":false,"id":442462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, D. L.","contributorId":10776,"corporation":false,"usgs":true,"family":"Lorenz","given":"D. L.","affiliations":[],"preferred":false,"id":442460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442461,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035728,"text":"70035728 - 2011 - Coexistence in streams: Do source-sink dynamics allow salamanders to persist with fish predators?","interactions":[],"lastModifiedDate":"2021-02-16T18:37:04.386805","indexId":"70035728","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Coexistence in streams: Do source-sink dynamics allow salamanders to persist with fish predators?","docAbstract":"<p><span>Theory suggests that source–sink dynamics can allow coexistence of intraguild predators and prey, but empirical evidence for this coexistence mechanism is limited. We used capture–mark–recapture, genetic methods, and stable isotopes to test whether source–sink dynamics promote coexistence between stream fishes, the intraguild predator, and stream salamanders (</span><i>Dicamptodon aterrimus</i><span>), the intraguild prey. Salamander populations from upstream reaches without fish were predicted to maintain or supplement sink populations in downstream reaches with fish. We found instead that downstream reaches with fish were not sinks even though fish consumed salamander larvae—apparent survival, recruitment, and population growth rate did not differ between upstream and downstream reaches. There was also no difference between upstream and downstream reaches in net emigration. We did find that&nbsp;</span><i>D. aterrimus</i><span>&nbsp;moved frequently along streams, but believe that this is a response to seasonal habitat changes rather than intraguild predation. Our study provides empirical evidence that local-scale mechanisms are more important than dispersal dynamics to coexistence of streams salamanders and fish. More broadly, it shows the value of empirical data on dispersal and gene flow for distinguishing between local and spatial mechanisms of coexistence.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s00442-011-1935-y","issn":"00298549","usgsCitation":"Sepulveda, A.J., and Lowe, W., 2011, Coexistence in streams: Do source-sink dynamics allow salamanders to persist with fish predators?: Oecologia, v. 166, no. 4, p. 1043-1054, https://doi.org/10.1007/s00442-011-1935-y.","productDescription":"12 p.","startPage":"1043","endPage":"1054","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":244079,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216221,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-011-1935-y"}],"country":"United States","state":"Idaho","otherGeospatial":"Lochsa River basin of the Clearwater River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.653076171875,\n              46.145588688591964\n            ],\n            [\n              -114.268798828125,\n              46.145588688591964\n            ],\n            [\n              -114.268798828125,\n              46.93901161506044\n            ],\n            [\n              -115.653076171875,\n              46.93901161506044\n            ],\n            [\n              -115.653076171875,\n              46.145588688591964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"166","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-02-23","publicationStatus":"PW","scienceBaseUri":"5059f7a0e4b0c8380cd4cbff","contributors":{"authors":[{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":452091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, W.H.","contributorId":91961,"corporation":false,"usgs":true,"family":"Lowe","given":"W.H.","affiliations":[],"preferred":false,"id":452092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034409,"text":"70034409 - 2011 - The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","interactions":[],"lastModifiedDate":"2013-04-25T12:16:48","indexId":"70034409","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","docAbstract":"Little is known regarding the origins and hydrology of hundreds of small lakes located in the western Uzbekistan province of Khorezm, Central Asia. Situated in the Aral Sea Basin, Khorezm is a productive agricultural region, growing mainly cotton, wheat, and rice. Irrigation is provided by an extensive canal network that conveys water from the Amu Darya River (AD) throughout the province. The region receives on average 10 cm/year of precipitation, yet potential evapotranspiration exceeds this amount by about 15 times. It was hypothesized that the perennial existence of the lakes of interest depends on periodic input of excess irrigation water. This hypothesis was investigated by studying two small lakes in the region, Tuyrek and Khodjababa. In June and July 2008, surface water and shallow groundwater samples were collected at these lake systems and surrounding communities and analyzed for δ<sup>2</sup>H, δ<sup>18</sup>O, and major ion hydrochemistry to determine water sources. Water table and lake surface elevations were monitored, and the local aquifer characteristics were determined through aquifer tests. These data and climate data from a Class A evaporation pan and meteorological stations were used to estimate water budgets for both lakes. Lake evaporation was found to be about 0.7 cm/day during the study period. Results confirm that the waters sampled at both lake systems and throughout central Khorezm were evaporated from AD water to varying degrees. Together, the water budgets and stable isotope and major ion hydrochemistry data suggest that without surface water input from some source (i.e. excess irrigation water), these and other Khorezm lakes with similar hydrology may decrease in volume dramatically, potentially to the point of complete desiccation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2011.09.028","issn":"00221694","usgsCitation":"Scott, J., Rosen, M.R., Saito, L., and Decker, D., 2011, The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan: Journal of Hydrology, v. 410, no. 1-2, p. 114-125, https://doi.org/10.1016/j.jhydrol.2011.09.028.","productDescription":"12 p.","startPage":"114","endPage":"125","numberOfPages":"12","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":244531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216648,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.09.028"}],"country":"Uzbekistan","state":"Khorezm","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.06,40.56 ], [ 60.06,42.00 ], [ 62.36,42.00 ], [ 62.36,40.56 ], [ 60.06,40.56 ] ] ] } } ] }","volume":"410","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad2ae4b08c986b323a11","contributors":{"authors":[{"text":"Scott, J.","contributorId":57795,"corporation":false,"usgs":false,"family":"Scott","given":"J.","affiliations":[],"preferred":false,"id":445648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R.","contributorId":43096,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saito, L.","contributorId":59402,"corporation":false,"usgs":true,"family":"Saito","given":"L.","email":"","affiliations":[],"preferred":false,"id":445649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, D.L.","contributorId":71797,"corporation":false,"usgs":true,"family":"Decker","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":445650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}