{"pageNumber":"1842","pageRowStart":"46025","pageSize":"25","recordCount":184617,"records":[{"id":70035952,"text":"70035952 - 2011 - Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images","interactions":[],"lastModifiedDate":"2017-04-06T13:35:01","indexId":"70035952","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1799,"text":"Geomatics, Natural Hazards and Risk","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images","docAbstract":"<p><span>Twenty-five C-band Radarsat-1 synthetic aperture radar (SAR) images acquired from the summer of 2002 to the summer of 2005 are used to map a 2003 boreal wildfire (B346) in the Yukon Flats National Wildlife Refuge, Alaska under conditions of near-persistent cloud cover. Our analysis is primarily based on the 15 SAR scenes acquired during arctic growing seasons. The Radarsat-1 intensity data are used to map the onset and progression of the fire, and interferometric coherence images are used to qualify burn severity and monitor post-fire recovery. We base our analysis of the fire on three test sites, two from within the fire and one unburned site. The B346 fire increased backscattered intensity values for the two burn study sites by approximately 5–6 dB and substantially reduced coherence from background levels of approximately 0.8 in unburned background forested areas to approximately 0.2 in the burned area. Using ancillary vegetation information from the National Land Cover Database (NLCD) and information on burn severity from Normalized Burn Ratio (NBR) data, we conclude that burn site 2 was more severely burned than burn site 1 and that C-band interferometric coherence data are useful for mapping landscape changes due to fire. Differences in burn severity and topography are determined to be the likely reasons for the observed differences in post-fire intensity and coherence trends between burn sites.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19475705.2010.532971","issn":"19475705","usgsCitation":"Rykhus, R.P., and Lu, Z., 2011, Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images: Geomatics, Natural Hazards and Risk, v. 2, no. 1, p. 15-32, https://doi.org/10.1080/19475705.2010.532971.","productDescription":"18 p.","startPage":"15","endPage":"32","numberOfPages":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216294,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/19475705.2010.532971"}],"volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-14","publicationStatus":"PW","scienceBaseUri":"505a5d7fe4b0c8380cd703e3","contributors":{"authors":[{"text":"Rykhus, Russell P.","contributorId":27337,"corporation":false,"usgs":true,"family":"Rykhus","given":"Russell","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":453282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":453283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035950,"text":"70035950 - 2011 - Relationships between breeding status, social -congregation attendance, and foraging distance of Xantus's Murrelets","interactions":[],"lastModifiedDate":"2021-02-05T13:23:12.992012","indexId":"70035950","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between breeding status, social -congregation attendance, and foraging distance of Xantus's Murrelets","docAbstract":"<p><span>At night during the breeding season, Xantus's Murrelets (</span><i>Synthliboramphus hypoleucus</i><span>) congregate on the water adjacent to nesting colonies. We examined relationships of attendance at these nocturnal congregations, breeding status, and daytime foraging locations of radio-marked Xantus's Murrelets from Anacapa Island (33 in 2002, 44 in 2003) and Santa Barbara Island (35 in 2002) in the California Channel Islands. Murrelets that spent more nights attending congregations were located closer to the island during the day, so regular attendance at the congregations may have constrained daytime traveling distances to foraging locations. In mid-May 2003 home-range sizes increased while congregation attendance decreased, likely indicating the end of colony attendance and declining availability of prey near Anacapa Island. In both years, incubating murrelets foraged farther from the colony than did nonbreeding murrelets, suggesting that breeding and nonbreeding murrelets use different foraging strategies to meet their energetic requirements.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1525/cond.2011.100040","issn":"00105422","usgsCitation":"Hamilton, C., Golightly, R., and Takekawa, J.Y., 2011, Relationships between breeding status, social -congregation attendance, and foraging distance of Xantus's Murrelets: Condor, v. 113, no. 1, p. 140-149, https://doi.org/10.1525/cond.2011.100040.","productDescription":"10 p.","startPage":"140","endPage":"149","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475535,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100040","text":"Publisher Index Page"},{"id":244124,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.44287109374999,\n              31.70947636001935\n            ],\n            [\n              -116.69677734375,\n              31.70947636001935\n            ],\n            [\n              -116.69677734375,\n              34.65128519895413\n            ],\n            [\n              -121.44287109374999,\n              34.65128519895413\n            ],\n            [\n              -121.44287109374999,\n              31.70947636001935\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a79ae4b0e8fec6cdc504","contributors":{"authors":[{"text":"Hamilton, C.D.","contributorId":21757,"corporation":false,"usgs":true,"family":"Hamilton","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":453275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golightly, R.T.","contributorId":10743,"corporation":false,"usgs":true,"family":"Golightly","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":453274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":453276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035923,"text":"70035923 - 2011 - Long-term trends in the St. Marys River open water fish community","interactions":[],"lastModifiedDate":"2012-12-28T14:24:41","indexId":"70035923","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in the St. Marys River open water fish community","docAbstract":"We examined trends in species composition and abundance of the St. Marys River fish community. Abundance data were available approximately once every six years from 1975 through 2006, and size and age data were available from 1995 through 2006. We also compared survey data in 2006 with results of a concurrent creel survey that year, as well as data from prior surveys spanning a 69 year time frame. The St. Marys River fish community was best characterized as a coolwater fish community with apparent little variation in species composition, and only slight variation in overall fish abundance since 1975. However, we did find recent trends in abundance among target species sought by anglers: centrarchids increased, percids appeared stable, and both northern pike <i>Esox lucius</i> and cisco <i>Coregonus artedii</i> declined. Survey results suggested that walleye (<i>Sander vitreus</i>) and yellow perch (<i>Perca flavescens</i>) experienced moderate exploitation but benefited from recent strong recruitment and faster growth. Mechanisms underlying declines of northern pike and cisco were not clear; reduced abundance could have resulted from high exploitation, variation in recruitment, or a combination of both factors. Despite these challenges, the St. Marys River fish community appears remarkably stable. We suggest that managers insure that creel surveys occur simultaneously with assessments, but periodic gill net surveys may no longer provide adequate data in support of recent, more complex management objectives. While additional surveys would add costs, more frequent data might ensure sustainability of a unique fish community that supports a large proportion of angler effort on Lake Huron.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2011.02.002","issn":"03801330","usgsCitation":"Schaeffer, J.S., Fielder, D., Godby, N., Bowen, A., O'Connor, L., Parrish, J., Greenwood, S., Chong, S., and Wright, G., 2011, Long-term trends in the St. Marys River open water fish community: Journal of Great Lakes Research, v. 37, p. 70-79, https://doi.org/10.1016/j.jglr.2011.02.002.","productDescription":"10 p.","startPage":"70","endPage":"79","numberOfPages":"10","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":216326,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.02.002"},{"id":244189,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","state":"Michigan;Ontario","otherGeospatial":"Lake Huron;St. Marys River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.73,45.86 ], [ -84.73,46.67 ], [ -83.51,46.67 ], [ -83.51,45.86 ], [ -84.73,45.86 ] ] ] } } ] }","volume":"37","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a49ade4b0c8380cd687da","contributors":{"authors":[{"text":"Schaeffer, Jeffrey S.","contributorId":89083,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":453161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fielder, David G.","contributorId":85434,"corporation":false,"usgs":true,"family":"Fielder","given":"David G.","affiliations":[],"preferred":false,"id":453159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godby, Neal","contributorId":102295,"corporation":false,"usgs":true,"family":"Godby","given":"Neal","affiliations":[],"preferred":false,"id":453162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Anjanette","contributorId":85930,"corporation":false,"usgs":true,"family":"Bowen","given":"Anjanette","affiliations":[],"preferred":false,"id":453160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Connor, Lisa","contributorId":19402,"corporation":false,"usgs":true,"family":"O'Connor","given":"Lisa","affiliations":[],"preferred":false,"id":453154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parrish, Josh","contributorId":66511,"corporation":false,"usgs":true,"family":"Parrish","given":"Josh","email":"","affiliations":[],"preferred":false,"id":453158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Greenwood, Susan","contributorId":29240,"corporation":false,"usgs":true,"family":"Greenwood","given":"Susan","email":"","affiliations":[],"preferred":false,"id":453155,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chong, Stephen","contributorId":32013,"corporation":false,"usgs":true,"family":"Chong","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":453156,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wright, Greg","contributorId":54034,"corporation":false,"usgs":true,"family":"Wright","given":"Greg","affiliations":[],"preferred":false,"id":453157,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70044906,"text":"70044906 - 2011 - Mineral resource of the month: potash","interactions":[],"lastModifiedDate":"2013-05-08T16:46:13","indexId":"70044906","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: potash","docAbstract":"The article offers basic information about the mineral resource potash. According to the author, potash is the generic term for a variety of mined and manufactured salts that contain the mineral potassium in a water-soluble form. The author adds that potash is used in fertilizers, soaps and detergents, glass and ceramics, and alkaline batteries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Jasinski, S.M., 2011, Mineral resource of the month: potash: Earth, v. 56, no. 10, p. 25-25.","productDescription":"1 p.","startPage":"25","endPage":"25","ipdsId":"IP-031574","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270432,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2011_10"}],"volume":"56","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f1e4b0037667dbc88f","contributors":{"authors":[{"text":"Jasinski, Stephen M. sjasinsk@usgs.gov","contributorId":2735,"corporation":false,"usgs":true,"family":"Jasinski","given":"Stephen","email":"sjasinsk@usgs.gov","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476452,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036241,"text":"70036241 - 2011 - Estimating California ecosystem carbon change using process model and land cover disturbance data: 1951-2000","interactions":[],"lastModifiedDate":"2018-02-23T11:44:32","indexId":"70036241","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimating California ecosystem carbon change using process model and land cover disturbance data: 1951-2000","docAbstract":"<p id=\"spar0010\">Land use change, natural disturbance, and climate change directly alter ecosystem productivity and carbon stock level. The estimation of ecosystem carbon dynamics depends on the quality of land cover change data and the effectiveness of the ecosystem models that represent the vegetation growth processes and disturbance effects. We used the Integrated Biosphere Simulator (IBIS) and a set of 30- to 60-m resolution fire and land cover change data to examine the carbon changes of California's forests, shrublands, and grasslands. Simulation results indicate that during 1951–2000, the net primary productivity (NPP) increased by 7%, from 72.2 to 77.1&nbsp;Tg&nbsp;C&nbsp;yr<sup>−1</sup> (1 teragram&nbsp;=&nbsp;10<sup>12</sup>&nbsp;g), mainly due to CO<sub>2</sub> fertilization, since the climate hardly changed during this period. Similarly, heterotrophic respiration increased by 5%, from 69.4 to 73.1&nbsp;Tg&nbsp;C&nbsp;yr<sup>−1</sup>, mainly due to increased forest soil carbon and temperature. Net ecosystem production (NEP) was highly variable in the 50-year period but on average equalled 3.0&nbsp;Tg&nbsp;C&nbsp;yr<sup>−1</sup> (total of 149&nbsp;Tg&nbsp;C). As with NEP, the net biome production (NBP) was also highly variable but averaged −0.55&nbsp;Tg&nbsp;C&nbsp;yr<sup>−1</sup> (total of –27.3&nbsp;Tg&nbsp;C) because NBP in the 1980s was very low (–5.34&nbsp;Tg&nbsp;C&nbsp;yr<sup>−1</sup>). During the study period, a total of 126&nbsp;Tg carbon were removed by logging and land use change, and 50&nbsp;Tg carbon were directly removed by wildland fires. For carbon pools, the estimated total living upper canopy (tree) biomass decreased from 928 to 834&nbsp;Tg&nbsp;C, and the understory (including shrub and grass) biomass increased from 59 to 63&nbsp;Tg&nbsp;C. Soil carbon and dead biomass carbon increased from 1136 to 1197&nbsp;Tg&nbsp;C.</p><p id=\"spar0015\">Our analyses suggest that both natural and human processes have significant influence on the carbon change in California. During 1951–2000, climate interannual variability was the key driving force for the large interannual changes of ecosystem carbon source and sink at the state level, while logging and fire were the dominant driving forces for carbon balances in several specific ecoregions. From a long-term perspective, CO<sub>2</sub>fertilization plays a key role in maintaining higher NPP. However, our study shows that the increase in C sequestration by CO<sub>2</sub> fertilization is largely offset by logging/land use change and wildland fires.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2011.03.042","issn":"03043800","usgsCitation":"Liu, J., Vogelmann, J., Zhu, Z., Key, C.H., Sleeter, B.M., Price, D., Chen, J.M., Cochrane, M.A., Eidenshink, J.C., Howard, S.M., Bliss, N.B., and Jiang, H., 2011, Estimating California ecosystem carbon change using process model and land cover disturbance data: 1951-2000: Ecological Modelling, v. 222, no. 14, p. 2333-2341, https://doi.org/10.1016/j.ecolmodel.2011.03.042.","productDescription":"9 p.","startPage":"2333","endPage":"2341","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246599,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218574,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2011.03.042"}],"volume":"222","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0afce4b0c8380cd524f0","contributors":{"authors":[{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":455061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogelmann, James E. 0000-0002-0804-5823","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":16604,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","affiliations":[],"preferred":false,"id":455060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":455057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Key, Carl H. carl_key@usgs.gov","contributorId":4138,"corporation":false,"usgs":true,"family":"Key","given":"Carl","email":"carl_key@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":455065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":455063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Price, D.T.","contributorId":6651,"corporation":false,"usgs":true,"family":"Price","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":455056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Jing M.","contributorId":202730,"corporation":false,"usgs":false,"family":"Chen","given":"Jing","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":455064,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cochrane, Mark A.","contributorId":20884,"corporation":false,"usgs":false,"family":"Cochrane","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":455059,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eidenshink, Jeffery C. eidenshink@usgs.gov","contributorId":1352,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeffery","email":"eidenshink@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":455058,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Howard, Stephen M. 0000-0001-5255-5882 smhoward@usgs.gov","orcid":"https://orcid.org/0000-0001-5255-5882","contributorId":3483,"corporation":false,"usgs":true,"family":"Howard","given":"Stephen","email":"smhoward@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":455062,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":455067,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jiang, Hong","contributorId":175217,"corporation":false,"usgs":false,"family":"Jiang","given":"Hong","email":"","affiliations":[{"id":27538,"text":"International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093","active":true,"usgs":false}],"preferred":false,"id":455066,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70044843,"text":"70044843 - 2011 - The ShakeOut Scenario: Meeting the needs for construction aggregates, hot mix asphalt, and ready mix concrete","interactions":[],"lastModifiedDate":"2021-04-07T13:45:30.424531","indexId":"70044843","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":"The ShakeOut Scenario: Meeting the needs for construction aggregates, hot mix asphalt, and ready mix concrete","docAbstract":"<p><span>An M</span><sub>w</sub><span>&nbsp;7.8 earthquake as described in the ShakeOut Scenario would cause significant damage to buildings and infrastructure. Over 6 million tons of newly mined aggregate would be used for emergency repairs and for reconstruction in the five years following the event. This aggregate would be applied mostly in the form of concrete for buildings and bridges, asphalt or concrete for pavement, and unbound gravel for applications such as base course that goes under highway pavement and backfilling for foundations and pipelines. There are over 450 aggregate, concrete, and asphalt plants in the affected area, some of which would be heavily damaged. Meeting the increased demand for construction materials would require readily available permitted reserves, functioning production facilities, a supply of cement and asphalt, a source of water, gas, and electricity, and a trained workforce. Prudent advance preparations would facilitate a timely emergency response and reconstruction following such an earthquake.</span></p>","language":"English","publisher":"Sage Journals","doi":"10.1193/1.3570679","usgsCitation":"Langer, W.H., 2011, The ShakeOut Scenario: Meeting the needs for construction aggregates, hot mix asphalt, and ready mix concrete: Earthquake Spectra, v. 27, p. 505-520, https://doi.org/10.1193/1.3570679.","productDescription":"16 p.","startPage":"505","endPage":"520","ipdsId":"IP-018278","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"27","noUsgsAuthors":false,"publicationDate":"2011-05-01","publicationStatus":"PW","scienceBaseUri":"51b05deee4b030b519801313","contributors":{"authors":[{"text":"Langer, William H. blanger@usgs.gov","contributorId":1241,"corporation":false,"usgs":true,"family":"Langer","given":"William","email":"blanger@usgs.gov","middleInitial":"H.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":476394,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035780,"text":"70035780 - 2011 - Arsenic species in weathering mine tailings and biogenic solids at the Lava Cap Mine Superfund Site, Nevada City, CA","interactions":[],"lastModifiedDate":"2014-03-17T16:08:24","indexId":"70035780","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1755,"text":"Geochemical Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic species in weathering mine tailings and biogenic solids at the Lava Cap Mine Superfund Site, Nevada City, CA","docAbstract":"<p>Background<br/>\nA realistic estimation of the health risk of human exposure to solid-phase arsenic (As) derived from historic mining operations is a major challenge to redevelopment of California's famed \"Mother Lode\" region. Arsenic, a known carcinogen, occurs in multiple solid forms that vary in bioaccessibility. X-ray absorption fine-structure spectroscopy (XAFS) was used to identify and quantify the forms of As in mine wastes and biogenic solids at the Lava Cap Mine Superfund (LCMS) site, a historic \"Mother Lode\" gold mine. Principal component analysis (PCA) was used to assess variance within water chemistry, solids chemistry, and XAFS spectral datasets. Linear combination, least-squares fits constrained in part by PCA results were then used to quantify arsenic speciation in XAFS spectra of tailings and biogenic solids.</p>\n<br/>\n<p>Results<br/>\nThe highest dissolved arsenic concentrations were found in Lost Lake porewater and in a groundwater-fed pond in the tailings deposition area. Iron, dissolved oxygen, alkalinity, specific conductivity, and As were the major variables in the water chemistry PCA. Arsenic was, on average, 14 times more concentrated in biologically-produced iron (hydr)oxide than in mine tailings. Phosphorous, manganese, calcium, aluminum, and As were the major variables in the solids chemistry PCA. Linear combination fits to XAFS spectra indicate that arsenopyrite (FeAsS), the dominant form of As in ore material, remains abundant (average: 65%) in minimally-weathered ore samples and water-saturated tailings at the bottom of Lost Lake. However, tailings that underwent drying and wetting cycles contain an average of only 30% arsenopyrite. The predominant products of arsenopyrite weathering were identified by XAFS to be As-bearing Fe (hydr)oxide and arseniosiderite (Ca<sub>2</sub>Fe(AsO<sub>4</sub>)<sub>3</sub>O<sub>3</sub>•3H<sub>2</sub>O). Existence of the former species is not in question, but the presence of the latter species was not confirmed by additional measurements, so its identification is less certain. The linear combination, least-squares fits totals of several samples deviate by more than ± 20% from 100%, suggesting that additional phases may be present that were not identified or evaluated in this study.</p>\n<br/>\n<p>Conclusions<br/>\nSub- to anoxic conditions minimize dissolution of arsenopyrite at the LCMS site, but may accelerate the dissolution of As-bearing secondary iron phases such as Fe<sup>3+</sup>-oxyhydroxides and arseniosiderite, if sufficient organic matter is present to spur anaerobic microbial activity. Oxidizing, dry conditions favor the stabilization of secondary phases, while promoting oxidative breakdown of the primary sulfides. The stability of both primary and secondary As phases is likely to be at a minimum under cyclic wet-dry conditions. Biogenic iron (hydr)oxide flocs can sequester significant amounts of arsenic; this property may be useful for treatment of perpetual sources of As such as mine adit water, but the fate of As associated with natural accumulations of floc material needs to be assessed.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemical Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1186/1467-4866-12-1","issn":"14674866","usgsCitation":"Foster, A.L., Ashley, R.P., and Rytuba, J.J., 2011, Arsenic species in weathering mine tailings and biogenic solids at the Lava Cap Mine Superfund Site, Nevada City, CA: Geochemical Transactions, v. 12, no. 1, 21 p., https://doi.org/10.1186/1467-4866-12-1.","productDescription":"21 p.","numberOfPages":"21","costCenters":[],"links":[{"id":475246,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1467-4866-12-1","text":"Publisher Index Page"},{"id":216463,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1467-4866-12-1"},{"id":244334,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Nevada City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.001864,39.189194 ], [ -121.001864,39.249373 ], [ -120.936066,39.249373 ], [ -120.936066,39.189194 ], [ -121.001864,39.189194 ] ] ] } } ] }","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-24","publicationStatus":"PW","scienceBaseUri":"5059ed97e4b0c8380cd498cd","contributors":{"authors":[{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":452340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashley, Roger P. ashley@usgs.gov","contributorId":2749,"corporation":false,"usgs":true,"family":"Ashley","given":"Roger","email":"ashley@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":452341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":452342,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032270,"text":"70032270 - 2011 - Excess nitrogen in the U.S. environment: Trends, risks, and solutions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70032270","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2121,"text":"Issues in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Excess nitrogen in the U.S. environment: Trends, risks, and solutions","docAbstract":"It is not surprising that humans have profoundly altered the global nitrogen (N) cycle in an effort to feed 7 billion people, because nitrogen is an essential plant and animal nutrient. Food and energy production from agriculture, combined with industrial and energy sources, have more than doubled the amount of reactive nitrogen circulating annually on land. Humanity has disrupted the nitrogen cycle even more than the carbon (C) cycle. We present new research results showing widespread effects on ecosystems, biodiversity, human health, and climate, suggesting that in spite of decades of research quantifying the negative consequences of too much available nitrogen in the biosphere, solutions remain elusive. There have been important successes in reducing nitrogen emissions to the atmosphere and this has improved air quality. Effective solutions for reducing nitrogen losses from agriculture have also been identified, although political and economic impediments to their adoption remain. Here, we focus on the major sources of reactive nitrogen for the United States (U.S.), their impacts, and potential mitigation options. Sources: ??? Intensive development of agriculture, industry, and transportation has profoundly altered the U.S. nitrogen cycle. ??? Nitrogen emissions from the energy and transportation sectors are declining, but agricultural emissions are increasing. ??? Approximately half of all nitrogen applied to boost agricultural production escapes its intended use and is lost to the environment. Impacts: ??? Two-thirds of U.S. coastal systems are moderately to severely impaired due to nutrient loading; there are now approximately 300 hypoxic (low oxygen) zones along the U.S. coastline and the number is growing. One third of U.S. streams and two fifths of U.S. lakes are impaired by high nitrogen concentrations. ??? Air pollution continues to reduce biodiversity. A nation-wide assessment has documented losses of nitrogen-sensitive native species in favor of exotic, invasive species. ??? More than 1.5 million Americans drink well water contaminated with too much (or close to too much) nitrate (a regulated drinking water pollutant), potentially placing them at increased risk of birth defects and cancer. More research is needed to deepen understanding of these health risks. ??? Several pathogenic infections, including coral diseases, bird die-offs, fish diseases, and human diarrheal diseases and vector-borne infections are associated with nutrient losses from agriculture and from sewage entering ecosystems. ??? Nitrogen is intimately linked with the carbon cycle and has both warming and cooling effects on the climate. Mitigation Options: ??? Regulation of nitrogen oxide (NOX) emissions from energy and transportation sectors has greatly improved air quality, especially in the eastern U.S. Nitrogen oxide is expected to decline further as stronger regulations take effect, but ammonia remains mostly unregulated and is expected to increase unless better controls on ammonia emissions from livestock operations are implemented. ??? Nitrogen loss from farm and livestock operations can be reduced 30-50% using current practices and technologies and up to 70-90% with innovative applications of existing methods. Current U.S. agricultural policies and support systems, as well as declining investments in agricultural extension, impede the adoption of these practices. Society faces profound challenges to meet demands for food, fiber, and fuel while minimizing unintended environmental and human health impacts. While our ability to quantify transfers of nitrogen across land, water, and air has improved since the first publication of this series in 1997, an even bigger challenge remains: using the science for effective management policies that reduce climate change, improve water quality, and protect human and environmental health. ?? The Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Issues in Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10928987","usgsCitation":"Davidson, E., David, M., Galloway, J., Goodale, C., Haeuber, R., Harrison, J., Howarth, R.W., Jaynes, D., Lowrance, R., Thomas, N.B., Peel, J., Pinder, R., Porter, E., Snyder, C., Townsend, A., and Ward, M., 2011, Excess nitrogen in the U.S. environment: Trends, risks, and solutions: Issues in Ecology, no. 15.","costCenters":[],"links":[{"id":242777,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0da6e4b0c8380cd53117","contributors":{"authors":[{"text":"Davidson, E.A.","contributorId":26843,"corporation":false,"usgs":true,"family":"Davidson","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":435368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"David, M.B.","contributorId":20089,"corporation":false,"usgs":true,"family":"David","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":435366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galloway, J.N.","contributorId":8740,"corporation":false,"usgs":true,"family":"Galloway","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":435364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodale, C.L.","contributorId":100677,"corporation":false,"usgs":true,"family":"Goodale","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":435376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeuber, R.","contributorId":52528,"corporation":false,"usgs":true,"family":"Haeuber","given":"R.","affiliations":[],"preferred":false,"id":435373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harrison, J. A.","contributorId":73434,"corporation":false,"usgs":false,"family":"Harrison","given":"J. A.","affiliations":[],"preferred":false,"id":435374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howarth, R. W.","contributorId":48126,"corporation":false,"usgs":false,"family":"Howarth","given":"R.","email":"","middleInitial":"W.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":435372,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jaynes, D.B.","contributorId":103505,"corporation":false,"usgs":true,"family":"Jaynes","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":435377,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lowrance, R.R.","contributorId":21836,"corporation":false,"usgs":true,"family":"Lowrance","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":435367,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thomas, Nolan B.","contributorId":6735,"corporation":false,"usgs":true,"family":"Thomas","given":"Nolan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":435362,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peel, J.L.","contributorId":46374,"corporation":false,"usgs":true,"family":"Peel","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":435371,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pinder, R.W.","contributorId":36817,"corporation":false,"usgs":true,"family":"Pinder","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":435370,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Porter, E.","contributorId":77434,"corporation":false,"usgs":true,"family":"Porter","given":"E.","email":"","affiliations":[],"preferred":false,"id":435375,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Snyder, C.S.","contributorId":7149,"corporation":false,"usgs":true,"family":"Snyder","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":435363,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Townsend, A.R.","contributorId":16631,"corporation":false,"usgs":true,"family":"Townsend","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":435365,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ward, M.H.","contributorId":35939,"corporation":false,"usgs":true,"family":"Ward","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":435369,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70036461,"text":"70036461 - 2011 - Using luminescence dating of coarse matrix material to estimate the slip rate of the Astaneh fault, Iran","interactions":[],"lastModifiedDate":"2021-01-11T16:36:48.835627","indexId":"70036461","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3216,"text":"Quaternary Geochronology","active":true,"publicationSubtype":{"id":10}},"title":"Using luminescence dating of coarse matrix material to estimate the slip rate of the Astaneh fault, Iran","docAbstract":"<p><span>In this paper, we present optically and infrared stimulated luminescence (OSL and IRSL) ages for four samples from&nbsp;alluvial fan&nbsp;surfaces in the Astaneh Valley. This valley is located in the north-east part of the Alborz range in Iran. Our morphologic interpretations recognize at least three generations of fans in&nbsp;the study area, all of which have been displaced along the left-lateral strike-slip Astaneh fault. Because of the dry, loose, and sometimes complex juxtaposition of the target sediments, we collected the samples in total darkness beneath dark plastic layers placed atop the pit openings. Luminescence ages of the fans are ∼55&nbsp;ka, ∼32&nbsp;ka and ∼16&nbsp;ka. These ages are concurrent with periods of&nbsp;loess&nbsp;deposition and wet climatic conditions previously recorded in the Arabia-Iranian region. They allow estimation of a horizontal slip rate of ∼2&nbsp;mm/yr along the Astaneh fault, which is consistent with additional slip rates determined for the&nbsp;</span>Holocene<span>&nbsp;period along faults further west of the Astaneh fault.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quageo.2011.03.001","issn":"18711014","usgsCitation":"Rizza, M., Mahan, S.A., Ritz, J., Nazari, H., Hollingsworth, J., and Salamati, R., 2011, Using luminescence dating of coarse matrix material to estimate the slip rate of the Astaneh fault, Iran: Quaternary Geochronology, v. 6, no. 3-4, p. 390-406, https://doi.org/10.1016/j.quageo.2011.03.001.","productDescription":"17 p.","startPage":"390","endPage":"406","costCenters":[],"links":[{"id":246483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218470,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quageo.2011.03.001"}],"otherGeospatial":"Caspian Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              46.05468749999999,\n              36.31512514748051\n            ],\n            [\n              55.01953125,\n              36.31512514748051\n            ],\n            [\n              55.01953125,\n              47.81315451752768\n            ],\n            [\n              46.05468749999999,\n              47.81315451752768\n            ],\n            [\n              46.05468749999999,\n              36.31512514748051\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc06ae4b08c986b32a0f6","contributors":{"authors":[{"text":"Rizza, M.","contributorId":35157,"corporation":false,"usgs":true,"family":"Rizza","given":"M.","affiliations":[],"preferred":false,"id":456254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":456257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritz, J.-F.","contributorId":105890,"corporation":false,"usgs":true,"family":"Ritz","given":"J.-F.","email":"","affiliations":[],"preferred":false,"id":456258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nazari, H.","contributorId":78993,"corporation":false,"usgs":true,"family":"Nazari","given":"H.","email":"","affiliations":[],"preferred":false,"id":456256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollingsworth, J.","contributorId":12334,"corporation":false,"usgs":true,"family":"Hollingsworth","given":"J.","email":"","affiliations":[],"preferred":false,"id":456253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salamati, R.","contributorId":56931,"corporation":false,"usgs":true,"family":"Salamati","given":"R.","email":"","affiliations":[],"preferred":false,"id":456255,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044014,"text":"70044014 - 2011 - Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system","interactions":[],"lastModifiedDate":"2015-01-16T10:18:04","indexId":"70044014","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system","docAbstract":"<p><span>Since the launch of the USGS&rsquo;s Prompt Assessment of Global Earthquakes for Response (PAGER) system in fall of 2007, the time needed for the U.S. Geological Survey (USGS) to determine and comprehend the scope of any major earthquake disaster anywhere in the world has been dramatically reduced to less than 30 min. PAGER alerts consist of estimated shaking hazard from the ShakeMap system, estimates of population exposure at various shaking intensities, and a list of the most severely shaken cities in the epicentral area. These estimates help government, scientific, and relief agencies to guide their responses in the immediate aftermath of a significant earthquake. To account for wide variability and uncertainty associated with inventory, structural vulnerability and casualty data, PAGER employs three different global earthquake fatality/loss computation models. This article describes the development of the models and demonstrates the loss estimation capability for earthquakes that have occurred since 2007. The empirical model relies on country-specific earthquake loss data from past earthquakes and makes use of calibrated casualty rates for future prediction. The semi-empirical and analytical models are engineering-based and rely on complex datasets including building inventories, time-dependent population distributions within different occupancies, the vulnerability of regional building stocks, and casualty rates given structural collapse.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Human casualties in earthquakes: progress in modelling and mitigation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-9455-1_6","usgsCitation":"Jaiswal, K., Wald, D.J., Earle, P.S., Porter, K.A., and Hearne, M., 2011, Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system, chap. <i>of</i> Human casualties in earthquakes: progress in modelling and mitigation, v. 29, p. 83-94, https://doi.org/10.1007/978-90-481-9455-1_6.","productDescription":"12 p.","startPage":"83","endPage":"94","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007955","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":271421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","noUsgsAuthors":false,"publicationDate":"2010-12-08","publicationStatus":"PW","scienceBaseUri":"5178fee7e4b0d842c705f6fc","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":474617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earle, Paul S. pearle@usgs.gov","contributorId":840,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":474613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Porter, Keith A.","contributorId":28883,"corporation":false,"usgs":true,"family":"Porter","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044928,"text":"70044928 - 2011 - Mineral resource of the month: chromium","interactions":[],"lastModifiedDate":"2013-05-08T19:43:02","indexId":"70044928","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: chromium","docAbstract":"Chromium is an important metal used as an alloying element in cast iron, steel and superalloys, as well as in refractory and numerous chemical applications.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Papp, J.F., 2011, Mineral resource of the month: chromium: Earth, v. 56, no. 3, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","additionalOnlineFiles":"N","ipdsId":"IP-026443","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270408,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2011_03"}],"volume":"56","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515aac62e4b0105540728a39","contributors":{"authors":[{"text":"Papp, John F. jpapp@usgs.gov","contributorId":2895,"corporation":false,"usgs":true,"family":"Papp","given":"John","email":"jpapp@usgs.gov","middleInitial":"F.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476480,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036253,"text":"70036253 - 2011 - Effects of harvest and climate on population dynamics of northern bobwhites in south Florida","interactions":[],"lastModifiedDate":"2021-01-20T19:56:07.208257","indexId":"70036253","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of harvest and climate on population dynamics of northern bobwhites in south Florida","docAbstract":"<p><strong>Context:<span>&nbsp;</span></strong>Hunting-related (hereafter harvest) mortality is assumed to be compensatory in many exploited species. However, when harvest mortality is additive, hunting can lead to population declines, especially on public land where hunting pressure can be intense. Recent studies indicate that excessive hunting may have contributed to the decline of a northern bobwhite (<i>Colinus virginianus</i>) population in south Florida.</p><p><strong>Aims:<span>&nbsp;</span></strong>This study aimed to estimate population growth rates to determine potential and actual contribution of vital rates to annual changes in population growth rates, and to evaluate the role of harvest and climatic variables on bobwhite population decline.</p><p><strong>Methods:<span>&nbsp;</span></strong>We used demographic parameters estimated from a six-year study to parameterise population matrix models and conduct prospective and retrospective perturbation analyses.</p><p><strong>Key results:<span>&nbsp;</span></strong>The stochastic population growth rate (λ<sub>S</sub> = 0.144) was proportionally more sensitive to adult winter survival and survival of fledglings, nests and broods from first nesting attempts; the same variables were primarily responsible for annual changes in population growth rate. Demographic parameters associated with second nesting attempts made virtually no contribution to population growth rate. All harvest scenarios consistently revealed a substantial impact of harvest on bobwhite population dynamics. If the lowest harvest level recorded in the study period (i.e. 0.08 birds harvested per day per km<sup>2</sup><span>&nbsp;</span>in 2008) was applied, λ<sub>S</sub><span>&nbsp;</span>would increase by 32.1%. Winter temperatures and precipitation negatively affected winter survival, and precipitation acted synergistically with harvest in affecting winter survival.</p><p><strong>Conclusions:<span>&nbsp;</span></strong>Our results suggest that reduction in winter survival due to overharvest has been an important cause of the decline in our study population, but that climatic factors might have also played a role. Thus, for management actions to be effective, assessing the contribution of primary (e.g. harvesting) but also secondary factors (e.g. climate) to population decline may be necessary.</p><p><strong>Implications:<span>&nbsp;</span></strong>Reducing hunting pressure would be necessary for the recovery of the bobwhite population at our study site. In addition, an adaptive harvest management strategy that considers weather conditions in setting harvest quota would help reverse the population decline further.</p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WR10239","issn":"10353712","usgsCitation":"Rolland, V., Hostetler, J., Hines, T., Johnson, F.A., Percival, H.F., and Oli, M., 2011, Effects of harvest and climate on population dynamics of northern bobwhites in south Florida: Wildlife Research, v. 38, no. 5, p. 396-407, https://doi.org/10.1071/WR10239.","productDescription":"12 p.","startPage":"396","endPage":"407","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":246307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218308,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WR10239"}],"country":"United States","state":"Florida","county":"Charlotte","otherGeospatial":"Fred C. Babcock/Cecil M. Webb Wildlife Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.15576171875,\n              26.509904531413927\n            ],\n            [\n              -81.37298583984375,\n              26.509904531413927\n            ],\n            [\n              -81.37298583984375,\n              27.19112839142226\n            ],\n            [\n              -82.15576171875,\n              27.19112839142226\n            ],\n            [\n              -82.15576171875,\n              26.509904531413927\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a070ce4b0c8380cd5152b","contributors":{"authors":[{"text":"Rolland, V.","contributorId":48420,"corporation":false,"usgs":true,"family":"Rolland","given":"V.","email":"","affiliations":[],"preferred":false,"id":455118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, J.A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":47994,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.A.","affiliations":[],"preferred":false,"id":455117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, T.C.","contributorId":36252,"corporation":false,"usgs":true,"family":"Hines","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":455116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":455119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Percival, H. Franklin percivalf@usgs.gov","contributorId":2424,"corporation":false,"usgs":true,"family":"Percival","given":"H.","email":"percivalf@usgs.gov","middleInitial":"Franklin","affiliations":[],"preferred":true,"id":455115,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oli, M.K.","contributorId":108069,"corporation":false,"usgs":true,"family":"Oli","given":"M.K.","affiliations":[],"preferred":false,"id":455120,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036163,"text":"70036163 - 2011 - Forecasting carbon budget under climate change and CO2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model","interactions":[],"lastModifiedDate":"2017-04-06T14:07:25","indexId":"70036163","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3100,"text":"Polish Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting carbon budget under climate change and CO2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model","docAbstract":"The regional carbon budget of the climatic transition zone may be very sensitive to climate change and increasing atmospheric CO2 concentrations. This study simulated the carbon cycles under these changes using process-based ecosystem models. The Integrated Biosphere Simulator (IBIS), a Dynamic Global Vegetation Model (DGVM), was used to evaluate the impacts of climate change and CO2 fertilization on net primary production (NPP), net ecosystem production (NEP), and the vegetation structure of terrestrial ecosystems in Zhejiang province (area 101,800 km2, mainly covered by subtropical evergreen forest and warm-temperate evergreen broadleaf forest) which is located in the subtropical climate area of China. Two general circulation models (HADCM3 and CGCM3) representing four IPCC climate change scenarios (HC3AA, HC3GG, CGCM-sresa2, and CGCM-sresb1) were used as climate inputs for IBIS. Results show that simulated historical biomass and NPP are consistent with field and other modelled data, which makes the analysis of future carbon budget reliable. The results indicate that NPP over the entire Zhejiang province was about 55 Mt C yr-1 during the last half of the 21st century. An NPP increase of about 24 Mt C by the end of the 21st century was estimated with the combined effects of increasing CO2 and climate change. A slight NPP increase of about 5 Mt C was estimated under the climate change alone scenario. Forests in Zhejiang are currently acting as a carbon sink with an average NEP of about 2.5 Mt C yr-1. NEP will increase to about 5 Mt C yr-1 by the end of the 21st century with the increasing atmospheric CO2 concentration and climate change. However, climate change alone will reduce the forest carbon sequestration of Zhejiang's forests. Future climate warming will substantially change the vegetation cover types; warm-temperate evergreen broadleaf forest will be gradually substituted by subtropical evergreen forest. An increasing CO2 concentration will have little contribution to vegetation changes. Simulated NPP shows geographic patterns consistent with temperature to a certain extent, and precipitation is not the limiting factor for forest NPP in the subtropical climate conditions. There is no close relationship between the spatial pattern of NEP and climate condition.","issn":"15052249","usgsCitation":"Zhu, Q., Jiang, H., Liu, J., Peng, C., Fang, X., Yu, S., Zhou, G., Wei, X., and Ju, W., 2011, Forecasting carbon budget under climate change and CO2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model: Polish Journal of Ecology, v. 59, no. 1, p. 3-24.","productDescription":"22 p.","startPage":"3","endPage":"24","numberOfPages":"22","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246270,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1314e4b0c8380cd544f3","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":454521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":454520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":454515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":454519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":454517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":454516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":454514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":454518,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ju, W.","contributorId":10627,"corporation":false,"usgs":true,"family":"Ju","given":"W.","email":"","affiliations":[],"preferred":false,"id":454513,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70044850,"text":"70044850 - 2011 - Mineral resource of the month: gypsum","interactions":[],"lastModifiedDate":"2013-05-08T17:48:40","indexId":"70044850","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: gypsum","docAbstract":"You may not realize it, but the walls of your office are probably made from a mineral: gypsum. Gypsum is an abundant, evaporite-derived sedimentary mineral with deposits located throughout the world. It is often associated with paleoenvironmental lake and marine environments. In its pure form, gypsum consists of calcium sulfate dihydrate, although most crude gypsum naturally occurs in combination with anhydrite, clay, dolomite and/or limestone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Crangle, R., 2011, Mineral resource of the month: gypsum: Earth, v. 56, no. 8, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","additionalOnlineFiles":"N","ipdsId":"IP-030238","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270467,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2011_08"}],"volume":"56","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdefe4b075500ee5ca53","contributors":{"authors":[{"text":"Crangle, Robert D.","contributorId":16293,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert D.","affiliations":[],"preferred":false,"id":476404,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036437,"text":"70036437 - 2011 - Petroleum prospectivity of the Canada Basin, Arctic Ocean","interactions":[],"lastModifiedDate":"2021-01-11T18:17:37.774139","indexId":"70036437","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Petroleum prospectivity of the Canada Basin, Arctic Ocean","docAbstract":"<p id=\"abspara0010\">Reconnaissance seismic reflection data indicate that Canada Basin is a &gt;700,000 sq. km. remnant of the Amerasia Basin of the Arctic Ocean that lies south of the Alpha-Mendeleev Large Igneous Province, which was constructed across the northern part of the Amerasia Basin between about 127 and 89–83.5&nbsp;Ma. Canada Basin was filled by Early Jurassic to Holocene detritus from the Beaufort–Mackenzie Deltaic System, which drains the northern third of interior North America, with sizable contributions from Alaska and Northwest Canada. The basin contains roughly 5 or 6 million cubic km of sediment. Three fourths or more of this volume generates low amplitude seismic reflections, interpreted to represent hemipelagic deposits, which contain lenses to extensive interbeds of moderate amplitude reflections interpreted to represent unconfined turbidite and amalgamated channel deposits.</p><p id=\"abspara0015\">Extrapolation from Arctic Alaska and Northwest Canada suggests that three fourths of the section in Canada Basin is correlative with stratigraphic sequences in these areas that contain intervals of hydrocarbon source rocks. In addition, worldwide heat flow averages suggest that about two thirds of Canada Basin lies in the oil or gas windows. Structural, stratigraphic and combined structural and stratigraphic features of local to regional occurrence offer exploration targets in Canada Basin, and at least one of these contains bright spots. However, deep water (to almost 4000&nbsp;m), remoteness from harbors and markets, and thick accumulations of seasonal to permanent sea ice (until its possible removal by global warming later this century) will require the discovery of very large deposits for commercial success in most parts of Canada Basin.</p>","largerWorkTitle":"Society of Petroleum Engineers - Arctic Technology Conference 2011","conferenceTitle":"Arctic Technology Conference 2011","conferenceDate":"February 2-7, 2011","conferenceLocation":"Houston, TX","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2011.11.001","isbn":"9781618390561","usgsCitation":"Grantz, A., and Hart, P.E., 2011, Petroleum prospectivity of the Canada Basin, Arctic Ocean, <i>in</i> Society of Petroleum Engineers - Arctic Technology Conference 2011, v. 1, Houston, TX, February 2-7, 2011, p. 261-286, https://doi.org/10.1016/j.marpetgeo.2011.11.001.","productDescription":"26 p.","startPage":"261","endPage":"286","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":246611,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a77fde4b0c8380cd785eb","contributors":{"authors":[{"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":456164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":456163,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043476,"text":"70043476 - 2011 - Swimming and other activities: applied aspects of fish swimming performance","interactions":[],"lastModifiedDate":"2019-06-21T15:53:12","indexId":"70043476","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Swimming and other activities: applied aspects of fish swimming performance","docAbstract":"<p><span>Human activities such as hydropower development, water withdrawals, and commercial fisheries often put fish species at risk. Engineered solutions designed to protect species or their life stages are frequently based on assumptions about swimming performance and behaviors. In many cases, however, the appropriate data to support these designs are either unavailable or misapplied. This article provides an overview of the state of knowledge of fish swimming performance &ndash; where the data come from and how they are applied &ndash; identifying both gaps in knowledge and common errors in application, with guidance on how to avoid repeating mistakes, as well as suggestions for further study.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of fish physiology: from genome to the environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Academic Press","publisherLocation":"San Diego, CA","doi":"10.1016/B978-0-12-374553-8.00180-5","usgsCitation":"Castro-Santos, T.R., 2011, Swimming and other activities: applied aspects of fish swimming performance, chap. <i>of</i> Encyclopedia of fish physiology: from genome to the environment, p. 1652-1663, https://doi.org/10.1016/B978-0-12-374553-8.00180-5.","productDescription":"12 p.","startPage":"1652","endPage":"1663","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019887","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":268810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513721f2e4b02ab8869bffb7","contributors":{"editors":[{"text":"Farrell, A.P.","contributorId":113545,"corporation":false,"usgs":true,"family":"Farrell","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":509207,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473670,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032260,"text":"70032260 - 2011 - Mineralogical and geochemical evidence for hydrothermal activity at the west wall of 12°50′N core complex (Mid-Atlantic ridge): a new ultramafic-hosted seafloor hydrothermal deposit?","interactions":[],"lastModifiedDate":"2015-03-23T09:51:31","indexId":"70032260","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mineralogical and geochemical evidence for hydrothermal activity at the west wall of 12°50′N core complex (Mid-Atlantic ridge): a new ultramafic-hosted seafloor hydrothermal deposit?","docAbstract":"<p>Dredging along the west wall of the core complex at 12&deg;50&prime;N Mid-Atlantic Ridge sampled a number of black oxyhydroxide crusts and breccias cemented by black and dark brown oxyhydroxide matrix. Black crusts found on top of basalt clasts (rubble) are mainly composed of Mn-oxides (birnessite, 10-&Aring; manganates) with thin films of nontronite and X-ray amorphous FeOOH on their surfaces. Their chemical composition (low trace- and rare earth-element contents, high Li and Ag concentrations, rare earth element distribution patterns with negative both Ce and Eu anomalies), Sr&ndash;Nd&ndash;Pb-isotope systematic and O-isotope data suggest low-temperature (~&nbsp;20&nbsp;&deg;C) hydrothermal deposition from a diffuse vent area on the seafloor. Mineralogical, petrographic and geochemical investigations of the breccias showed the rock clasts were hydrothermally altered fragments of MORBs. Despite the substantial mineralogical changes caused by the alteration the Sr&ndash;Nd&ndash;Pb-isotope ratios have not been significantly affected by this process. The basalt clasts are cemented by dark brown and black matrix. Dark brown cement exhibits geochemical features (very low trace- and rare earth- element contents, high U concentration, rare earth element distribution pattern with high positive Eu anomaly) and Nd&ndash;Pb-isotope systematics (similar to that of MORB) suggesting that the precursor was a primary, high-temperature Fe-sulfide, which was eventually altered to goethite at ambient seawater conditions. The data presented in this work points towards the possible existence of high- and low-temperature hydrothermal activity at the west wall of the core complex at 12&deg;50&prime;N Mid-Atlantic Ridge. Tectonic setting at the site implies that the proposed hydrothermal field is possibly ultramafic-hosted.</p>","largerWorkTitle":"Elsevier","language":"English","doi":"10.1016/j.margeo.2011.09.002","issn":"00253227","usgsCitation":"Dekov, V., Boycheva, T., Halenius, U., Billstrom, K., Kamenov, G.D., Shanks, W., and Stummeyer, J., 2011, Mineralogical and geochemical evidence for hydrothermal activity at the west wall of 12°50′N core complex (Mid-Atlantic ridge): a new ultramafic-hosted seafloor hydrothermal deposit?: Marine Geology, v. 288, no. 1-4, p. 90-102, https://doi.org/10.1016/j.margeo.2011.09.002.","productDescription":"13 p.","startPage":"90","endPage":"102","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":242614,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2011.09.002"}],"volume":"288","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5a93e4b0c8380cd6ef9d","contributors":{"authors":[{"text":"Dekov, Vesselin","contributorId":58883,"corporation":false,"usgs":true,"family":"Dekov","given":"Vesselin","email":"","affiliations":[],"preferred":false,"id":435298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boycheva, Tanya","contributorId":101501,"corporation":false,"usgs":true,"family":"Boycheva","given":"Tanya","email":"","affiliations":[],"preferred":false,"id":435301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halenius, Ulf","contributorId":104751,"corporation":false,"usgs":true,"family":"Halenius","given":"Ulf","email":"","affiliations":[],"preferred":false,"id":435302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Billstrom, Kjell","contributorId":90971,"corporation":false,"usgs":true,"family":"Billstrom","given":"Kjell","email":"","affiliations":[],"preferred":false,"id":435300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kamenov, George D.","contributorId":76134,"corporation":false,"usgs":true,"family":"Kamenov","given":"George","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":435299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shanks, Wayne C.","contributorId":39419,"corporation":false,"usgs":true,"family":"Shanks","given":"Wayne C.","affiliations":[],"preferred":false,"id":435297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stummeyer, Jens","contributorId":31206,"corporation":false,"usgs":true,"family":"Stummeyer","given":"Jens","email":"","affiliations":[],"preferred":false,"id":435296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70037022,"text":"70037022 - 2011 - Coelomic implantation of satellite transmitters in the bar-tailed godwit (<i>Limosa lapponica</i>) and the bristle-thighed curlew (<i>Numenius tahitiensis</i>) using propofol, bupivacaine, and lidocaine","interactions":[],"lastModifiedDate":"2018-08-21T13:46:01","indexId":"70037022","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2514,"text":"Journal of Zoo and Wildlife Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Coelomic implantation of satellite transmitters in the bar-tailed godwit (<i>Limosa lapponica</i>) and the bristle-thighed curlew (<i>Numenius tahitiensis</i>) using propofol, bupivacaine, and lidocaine","docAbstract":"Intravenous propofol was used as a general anesthetic with a 2∶1 (mg∶mg) adjunctive mixture of lidocaine and bupivacaine as local anesthetics infiltrated into the surgical sites for implantation of satellite transmitters into the right abdominal air sac of 39 female and 4 male bar-tailed godwits (<i>Limosa lapponica baueri</i> and <i>Limosa lapponica menzbeiri</i>) and 11 female and 12 male bristle-thighed curlews (<i>Numenius tahitiensis</i>). The birds were captured on nesting grounds in Alaska, USA, and on overwintering areas in New Zealand and Australia from 2005 through 2008. As it was developed, the mass of the transmitter used changed yearly from a low of 22.4 ± 0.2 g to a high of 27.1 ± 0.2 g and weighed 25.1 ± 0.2 g in the final year. The mean load ratios ranged from 5.2% to 7.7% for godwits and from 5.7% to 7.5% for curlews and exceeded 5% for all years, locations, and genders of both species. The maximum load ratio was 8.3% for a female bar-tailed godwit implanted in Australia in 2008. Three godwits and no curlews died during surgery. Most birds were hyperthermic upon induction but improved during surgery. Two godwits (one in New Zealand and one in Australia) could not stand upon release, likely due to capture myopathy. These birds failed to respond to treatment and were euthanized. The implanted transmitters were used to follow godwits through their southern and northern migrations, and curlews were followed on their southern migration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Zoo and Wildlife Medicine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association of Zoo Veterinarians","doi":"10.1638/2010-0040.1","issn":"10427260","usgsCitation":"Mulcahy, D.M., Gartrell, B.D., Gill, R., Tibbitts, T.L., and Ruthrauff, D.R., 2011, Coelomic implantation of satellite transmitters in the bar-tailed godwit (<i>Limosa lapponica</i>) and the bristle-thighed curlew (<i>Numenius tahitiensis</i>) using propofol, bupivacaine, and lidocaine: Journal of Zoo and Wildlife Medicine, v. 42, no. 1, p. 54-64, https://doi.org/10.1638/2010-0040.1.","productDescription":"11 p.","startPage":"54","endPage":"64","numberOfPages":"11","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":217099,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1638/2010-0040.1"},{"id":245016,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia;New Zealand;United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 112.9,-54.8 ], [ 112.9,71.39 ], [ -129.99,71.39 ], [ -129.99,-54.8 ], [ 112.9,-54.8 ] ] ] } } ] }","volume":"42","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f79ee4b0c8380cd4cbf2","contributors":{"authors":[{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":459015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartrell, Brett D.","contributorId":10299,"corporation":false,"usgs":false,"family":"Gartrell","given":"Brett","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":459018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":459016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":459019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":459017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033996,"text":"70033996 - 2011 - A survey of bees (hymenoptera: Apoidea) of the Indiana dunes and Northwest Indiana, USA","interactions":[],"lastModifiedDate":"2013-01-29T10:16:15","indexId":"70033996","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2556,"text":"Journal of the Kansas Entomological Society","active":true,"publicationSubtype":{"id":10}},"title":"A survey of bees (hymenoptera: Apoidea) of the Indiana dunes and Northwest Indiana, USA","docAbstract":"The Indiana Dunes, and nearby natural areas in northwest Indiana, are floristically rich Midwest U.S. locales with many habitat types. We surveyed bees along a habitat gradient ranging from grasslands to forests in these locales, collecting at least 175 bee species along this gradient plus 29 additional species in other nearby habitats. About 25% of all species were from the genus <i>Lasioglossum</i> and 12% of the species were associated with sandy soils. Several bumblebee (<i>Bombus</i>) species of conservation concern that should occur in this region were not collected during our surveys. Similarity of the northwest Indiana bee fauna to other published U.S. faunas decreased about 1.3% per 100 km distance from northwest Indiana. Thirty percent of bees netted from flowers were males. Males and females differed significantly in their frequency of occurrence on different plant species. For bees collected in bowl traps, the percentage captured in fluorescent yellow traps declined and in fluorescent blue traps increased from spring to late summer. Capture rates for different bee genera varied temporally, with about a quarter of the genera being captured most frequently in late spring and a quarter in late summer. Capture rates for most genera were higher in more open than in more closed canopy habitats. The maximum number of plant species on which a single bee species was captured plateaued at 24, on average. Forty-nine percent of bee species known to occur in Indiana were found at these northwest Indiana sites. Having this relatively high proportion of the total Indiana bee fauna is consistent with Indiana Dunes existing at a biogeographic crossroads where grassland and forest biomes meet in a landscape whose climate and soils are affected by proximity to Lake Michigan. The resulting habitat, plant, edaphic, and climatic diversity likely produces the diverse bee community documented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the Kansas Entomological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kansas Entomological Society","publisherLocation":"Manhattan, KS","doi":"10.2317/JKES101027.1","issn":"00228567","usgsCitation":"Grundel, R., Jean, R., Frohnapple, K., Gibbs, J., Glowacki, G., and Pavlovic, N., 2011, A survey of bees (hymenoptera: Apoidea) of the Indiana dunes and Northwest Indiana, USA: Journal of the Kansas Entomological Society, v. 84, no. 2, p. 105-138, https://doi.org/10.2317/JKES101027.1.","productDescription":"34 p.","startPage":"105","endPage":"138","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":244666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216777,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2317/JKES101027.1"}],"country":"United States","state":"Indiana","otherGeospatial":"Indiana Dunes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0979,37.7717 ], [ -88.0979,41.7607 ], [ -84.7847,41.7607 ], [ -84.7847,37.7717 ], [ -88.0979,37.7717 ] ] ] } } ] }","volume":"84","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e5dce4b0c8380cd46fdb","contributors":{"authors":[{"text":"Grundel, R.","contributorId":37110,"corporation":false,"usgs":true,"family":"Grundel","given":"R.","affiliations":[],"preferred":false,"id":443568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jean, R.P.","contributorId":23361,"corporation":false,"usgs":true,"family":"Jean","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":443566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnapple, K.J.","contributorId":13442,"corporation":false,"usgs":true,"family":"Frohnapple","given":"K.J.","affiliations":[],"preferred":false,"id":443565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, J.","contributorId":88226,"corporation":false,"usgs":true,"family":"Gibbs","given":"J.","affiliations":[],"preferred":false,"id":443569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glowacki, G.A.","contributorId":28843,"corporation":false,"usgs":true,"family":"Glowacki","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":443567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pavlovic, N.B.","contributorId":105076,"corporation":false,"usgs":true,"family":"Pavlovic","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":443570,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034163,"text":"70034163 - 2011 - Agave turneri (Agavaceae), a new species from northeastern Baja California, Mexico","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034163","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1084,"text":"Brittonia","active":true,"publicationSubtype":{"id":10}},"title":"Agave turneri (Agavaceae), a new species from northeastern Baja California, Mexico","docAbstract":"Agave turneri, a new species of Agave from the Sierras Cucap?? and El Mayor in northeastern Baja California, Mexico, is a medium-sized species that does not produce offsets, has a relatively short and narrow panicle, and has a distinctive flower structure. The closest relatives to this new species are Agave moranii, which occurs approximately 200 km to the south of the type locality, and A. deserti var. simplex, which occurs in Arizona and California. This new species is a narrow endemic restricted to specific granodiorite and tonalite habitats in a hyperarid environment. Agave turneri appears to be a critically endangered owing to its habitat preference for specific types of granite in the Sierra Cucap??, threats due to prolonged drought and global change, and its close proximity to the Mexicali metropolitan area. ?? 2010 The New York Botanical Garden.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Brittonia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12228-010-9151-3","issn":"0007196X","usgsCitation":"Webb, R.H., and Salazar-Cesena, J., 2011, Agave turneri (Agavaceae), a new species from northeastern Baja California, Mexico: Brittonia, v. 63, no. 2, p. 203-210, https://doi.org/10.1007/s12228-010-9151-3.","startPage":"203","endPage":"210","numberOfPages":"8","costCenters":[],"links":[{"id":216844,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12228-010-9151-3"},{"id":244740,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-06-09","publicationStatus":"PW","scienceBaseUri":"5059e8d5e4b0c8380cd47edd","contributors":{"authors":[{"text":"Webb, R. H.","contributorId":13648,"corporation":false,"usgs":true,"family":"Webb","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":444380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salazar-Cesena, J. M.","contributorId":93352,"corporation":false,"usgs":true,"family":"Salazar-Cesena","given":"J. M.","affiliations":[],"preferred":false,"id":444381,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034502,"text":"70034502 - 2011 - Soil carbon distribution in Alaska in relation to soil-forming factors","interactions":[],"lastModifiedDate":"2017-04-06T12:39:12","indexId":"70034502","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Soil carbon distribution in Alaska in relation to soil-forming factors","docAbstract":"<p><span>The direction and magnitude of soil organic carbon (SOC) changes in response to climate change remain unclear and depend on the spatial distribution of SOC across landscapes. Uncertainties regarding the fate of SOC are greater in high-latitude systems where data are sparse and the soils are affected by sub-zero temperatures. To address these issues in Alaska, a first-order assessment of data gaps and spatial distributions of SOC was conducted from a recently compiled soil carbon database. Temperature and landform type were the dominant controls on SOC distribution for selected ecoregions. Mean SOC pools (to a depth of 1-m) varied by three, seven and ten-fold across ecoregion, landform, and ecosystem types, respectively. Climate interactions with landform type and SOC were greatest in the uplands. For upland SOC there was a six-fold non-linear increase in SOC with latitude (i.e., temperature) where SOC was lowest in the Intermontane Boreal compared to the Arctic Tundra and Coastal Rainforest. Additionally, in upland systems mineral SOC pools decreased as climate became more continental, suggesting that the lower productivity, higher decomposition rates and fire activity, common in continental climates, interacted to reduce mineral SOC. For lowland systems, in contrast, these interactions and their impacts on SOC were muted or absent making SOC in these environments more comparable across latitudes. Thus, the magnitudes of SOC change across temperature gradients were non-uniform and depended on landform type. Additional factors that appeared to be related to SOC distribution within ecoregions included stand age, aspect, and permafrost presence or absence in black spruce stands. Overall, these results indicate the influence of major interactions between temperature-controlled decomposition and topography on SOC in high-latitude systems. However, there remains a need for more SOC data from wetlands and boreal-region permafrost soils, especially at depths&nbsp;&gt;&nbsp;1&nbsp;m in order to fully understand the effects of climate on soil carbon in Alaska.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2011.10.006","issn":"00167061","usgsCitation":"Johnson, K., Harden, J., McGuire, A., Bliss, N., Bockheim, J.G., Clark, M., Nettleton-Hollingsworth, T., Jorgenson, M., Kane, E., Mack, M., O'Donnell, J., Ping, C., Schuur, E., Turetsky, M., and Valentine, D., 2011, Soil carbon distribution in Alaska in relation to soil-forming factors: Geoderma, v. 167-168, p. 71-84, https://doi.org/10.1016/j.geoderma.2011.10.006.","productDescription":"14 p.","startPage":"71","endPage":"84","numberOfPages":"14","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215684,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2011.10.006"}],"volume":"167-168","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b91efe4b08c986b319bbd","contributors":{"authors":[{"text":"Johnson, K.D.","contributorId":92932,"corporation":false,"usgs":true,"family":"Johnson","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":446110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, J.","contributorId":43918,"corporation":false,"usgs":true,"family":"Harden","given":"J.","email":"","affiliations":[],"preferred":false,"id":446105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":446100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bliss, N.B. 0000-0003-2409-5211","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":104094,"corporation":false,"usgs":true,"family":"Bliss","given":"N.B.","affiliations":[],"preferred":false,"id":446112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bockheim, James G.","contributorId":41948,"corporation":false,"usgs":false,"family":"Bockheim","given":"James","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":446103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, M.R.","contributorId":88135,"corporation":false,"usgs":true,"family":"Clark","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":446109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nettleton-Hollingsworth, T.","contributorId":60087,"corporation":false,"usgs":true,"family":"Nettleton-Hollingsworth","given":"T.","email":"","affiliations":[],"preferred":false,"id":446106,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jorgenson, M.T.","contributorId":26889,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M.T.","affiliations":[],"preferred":false,"id":446101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kane, E.S.","contributorId":42275,"corporation":false,"usgs":true,"family":"Kane","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":446104,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mack, M.","contributorId":71843,"corporation":false,"usgs":true,"family":"Mack","given":"M.","affiliations":[],"preferred":false,"id":446108,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O'Donnell, J.","contributorId":34785,"corporation":false,"usgs":true,"family":"O'Donnell","given":"J.","affiliations":[],"preferred":false,"id":446102,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ping, C.-L.","contributorId":60843,"corporation":false,"usgs":true,"family":"Ping","given":"C.-L.","email":"","affiliations":[],"preferred":false,"id":446107,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schuur, E.A.G.","contributorId":106679,"corporation":false,"usgs":true,"family":"Schuur","given":"E.A.G.","affiliations":[],"preferred":false,"id":446113,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Turetsky, M.R.","contributorId":107470,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":446114,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Valentine, D.W.","contributorId":97157,"corporation":false,"usgs":true,"family":"Valentine","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":446111,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70036812,"text":"70036812 - 2011 - Metacommunity theory as a multispecies, multiscale framework for studying the influence of river network structure on riverine communities and ecosystems","interactions":[],"lastModifiedDate":"2013-03-05T10:49:34","indexId":"70036812","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Metacommunity theory as a multispecies, multiscale framework for studying the influence of river network structure on riverine communities and ecosystems","docAbstract":"Explaining the mechanisms underlying patterns of species diversity and composition in riverine networks is challenging. Historically, community ecologists have conceived of communities as largely isolated entities and have focused on local environmental factors and interspecific interactions as the major forces determining species composition. However, stream ecologists have long embraced a multiscale approach to studying riverine ecosystems and have studied both local factors and larger-scale regional factors, such as dispersal and disturbance. River networks exhibit a dendritic spatial structure that can constrain aquatic organisms when their dispersal is influenced by or confined to the river network. We contend that the principles of metacommunity theory would help stream ecologists to understand how the complex spatial structure of river networks mediates the relative influences of local and regional control on species composition. From a basic ecological perspective, the concept is attractive because new evidence suggests that the importance of regional processes (dispersal) depends on spatial structure of habitat and on connection to the regional species pool. The role of local factors relative to regional factors will vary with spatial position in a river network. From an applied perspective, the long-standing view in ecology that local community composition is an indicator of habitat quality may not be uniformly applicable across a river network, but the strength of such bioassessment approaches probably will depend on spatial position in the network. The principles of metacommunity theory are broadly applicable across taxa and systems but seem of particular consequence to stream ecology given the unique spatial structure of riverine systems. By explicitly embracing processes at multiple spatial scales, metacommunity theory provides a foundation on which to build a richer understanding of stream communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the North American Benthological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Freshwater Science","publisherLocation":"Wolfville, Nova Scotia","doi":"10.1899/10-129.1","issn":"08873593","usgsCitation":"Brown, B., Swan, C., Auerbach, D., Campbell, G.E., Hitt, N., Maloney, K., and Patrick, C., 2011, Metacommunity theory as a multispecies, multiscale framework for studying the influence of river network structure on riverine communities and ecosystems: Journal of the North American Benthological Society, v. 30, no. 1, p. 310-327, https://doi.org/10.1899/10-129.1.","productDescription":"18 p.","startPage":"310","endPage":"327","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475344,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/29157","text":"External Repository"},{"id":217856,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/10-129.1"},{"id":245828,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5469e4b0c8380cd6cf8b","contributors":{"authors":[{"text":"Brown, B.L.","contributorId":81771,"corporation":false,"usgs":true,"family":"Brown","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":457966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swan, C.M.","contributorId":55133,"corporation":false,"usgs":true,"family":"Swan","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":457965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Auerbach, D.A.","contributorId":46376,"corporation":false,"usgs":true,"family":"Auerbach","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":457964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Grant E.H.","contributorId":44650,"corporation":false,"usgs":true,"family":"Campbell","given":"Grant","email":"","middleInitial":"E.H.","affiliations":[],"preferred":false,"id":457963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitt, N.P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":101466,"corporation":false,"usgs":true,"family":"Hitt","given":"N.P.","affiliations":[],"preferred":false,"id":457967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maloney, K.O. 0000-0003-2304-0745","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":105414,"corporation":false,"usgs":true,"family":"Maloney","given":"K.O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":457969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patrick, C.","contributorId":105188,"corporation":false,"usgs":true,"family":"Patrick","given":"C.","email":"","affiliations":[],"preferred":false,"id":457968,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70169308,"text":"70169308 - 2011 - Assessing the role of conspecific attraction in habitat restoration for Henslow's sparrows in Iowa","interactions":[],"lastModifiedDate":"2016-03-24T10:12:51","indexId":"70169308","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the role of conspecific attraction in habitat restoration for Henslow's sparrows in Iowa","docAbstract":"<p>The presence of conspecific individuals may provide important cues about habitat quality for territorial songbirds. We tested the ability of a conspecific song playback system to attract Henslow&rsquo;s sparrows to previously unoccupied restored habitat. We successfully attracted Heslow&rsquo;s sparrows to 3 of 7 treatment plots using conspecific song playbacks and we found no Henslow&rsquo;s sparrows in control plots. The addition of social cues using playback systems in restored grassland habitats may aid conservation efforts of Henslow&rsquo;s sparrows to available habitat.</p>","language":"English","publisher":"South Dakota State University","usgsCitation":"Vogel, J.A., Koford, R.R., and Otis, D.L., 2011, Assessing the role of conspecific attraction in habitat restoration for Henslow's sparrows in Iowa: Prairie Naturalist, v. 43, no. 1/2, p. 23-28.","productDescription":"6 p.","startPage":"23","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024961","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319350,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sdstate.edu/nrm/organizations/gpnss/tpn/2011-archive.cfm"}],"country":"United States","state":"Iowa","county":"Dickinson County","otherGeospatial":"Spring Run Wetland Complex","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-95.386,43.5037],[-95.2825,43.5036],[-94.9139,43.504],[-94.9137,43.4326],[-94.9137,43.3424],[-94.9132,43.2556],[-94.993,43.2551],[-95.0333,43.256],[-95.1503,43.256],[-95.2691,43.2558],[-95.388,43.256],[-95.3866,43.3433],[-95.3865,43.4316],[-95.386,43.5037]]]},\"properties\":{\"name\":\"Dickinson\",\"state\":\"IA\"}}]}","volume":"43","issue":"1/2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f50fb0e4b0f59b85e1ea93","contributors":{"authors":[{"text":"Vogel, Jennifer A.","contributorId":9463,"corporation":false,"usgs":true,"family":"Vogel","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koford, Rolf R.","contributorId":16347,"corporation":false,"usgs":true,"family":"Koford","given":"Rolf","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otis, David L.","contributorId":78455,"corporation":false,"usgs":true,"family":"Otis","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":623519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192758,"text":"70192758 - 2011 - A review of Alabama lignite deposits","interactions":[],"lastModifiedDate":"2020-10-22T16:40:49.370935","indexId":"70192758","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":"16","title":"A review of Alabama lignite deposits","docAbstract":"<p class=\"indent\">This review of Alabama lignite deposits is a part of the U.S. Geological Survey (USGS) National Coal Resource Assessment (NCRA) of the Gulf Coast region (see<span>&nbsp;</span>Ruppert et al., 2002;<span>&nbsp;</span>Dennen, 2009; and other chapters of this publication). Because lignite is not currently mined in Alabama, a detailed assessment of the state was not made, and only a review is presented in this chapter.</p><p class=\"indent\">Lignite beds are found in several stratigraphic horizons within the Paleocene Midway and Paleocene to Eocene Wilcox Groups in the Gulf Coastal Plain of Alabama (Figure 1). There are three main near-surface (less than 250 ft of overburden) lignite deposits in Alabama. In the Midway Group, the Oak Hill lignite deposit occurs in the upper part of the Oak Hill Member of the Naheola Formation (Figure 2). In the Wilcox Group, the Gravel Creek and the Tuscahoma lignite deposits occur in the Coal Bluff Marl Member of the Nanafalia Formation and the Tuscahoma Sand Member of the Tuscahoma Sand Formation, respectively (Figure 2). The Gravel Creek lignite occurs in central and eastern Alabama, and the Oak Hill and Tuscahoma Sand lignites occur in southwest Alabama. Eighty-five percent of this lignite may be recoverable by surface mining methods (Tolson, 1985). The total amount of lignite reported as a reserve by the state is over 4.7 billion short tons (Self et al., 1978).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Aubourg, C.E., 2011, A review of Alabama lignite deposits, chap. 16 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 307-312.","productDescription":"6 p.","startPage":"307","endPage":"312","ipdsId":"IP-020066","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350928,"rank":1,"type":{"id":15,"text":"Index 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mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726465,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":726466,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Aubourg, Claire E.","contributorId":87192,"corporation":false,"usgs":true,"family":"Aubourg","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716843,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192776,"text":"70192776 - 2011 - Introduction","interactions":[],"lastModifiedDate":"2020-10-22T16:59:35.529011","indexId":"70192776","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":"2","title":"Introduction","docAbstract":"<p>The National Coal Resource Assessment (NCRA) team of the U.S. Geological Survey (USGS) has assessed the quantity and quality of coal beds and zones that could be mined during the next 20 years or more. Geologic, geochemical, and resource information was collected and compiled for the five major coal-producing regions of the United States: the Appalachian Basin, Illinois Basin, Northern Rocky Mountains and Great Plains, Colorado Plateau, and the Gulf of Mexico Coastal Plain, (Gulf Coast) (Figure 1). In particular, the NCRA assessed coal-quality information and characterized environmentally significant trace elements, such as arsenic and mercury, that are defined in and administered by 1990 Clean Air Act Amendments (U.S. Environmental Protection Agency, 1990). The results of various USGS coal assessment efforts may be found at: http://energy.cr.usgs.gov/coal/coal_assessments/index.html, and a summary of the results from all assessment areas can be found in Ruppert et al. (2002) and Dennen (2009).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic assessment of coal in the Gulf of Mexico coastal plain","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Warwick, P.D., Hook, R.W., and SanFilipo, J., 2011, Introduction, chap. 2 <i>of</i> Geologic assessment of coal in the Gulf of Mexico coastal plain: AAPG Studies in Geology, v. 62, p. 9-27.","productDescription":"19 p.","startPage":"9","endPage":"27","ipdsId":"IP-020021","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350911,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/books/book/1259/chapter/107077702/introduction-coal-geology-mining-history-and"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Gulf of Mexico coastal plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.7236328125,\n              29.49698759653577\n            ],\n            [\n              -92.4169921875,\n              29.49698759653577\n            ],\n            [\n              -92.4169921875,\n              32.21280106801518\n            ],\n            [\n              -96.7236328125,\n              32.21280106801518\n            ],\n            [\n              -96.7236328125,\n              29.49698759653577\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743587e4b0a9a2e9e25cba","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726429,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Karlsen, Alexander K.","contributorId":44089,"corporation":false,"usgs":false,"family":"Karlsen","given":"Alexander K.","affiliations":[],"preferred":false,"id":726430,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":2584,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","email":"mmerrill@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726431,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":726432,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hook, Robert W.","contributorId":26006,"corporation":false,"usgs":true,"family":"Hook","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":716889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"SanFilipo, John R. 0000-0002-8739-5628 jsan@usgs.gov","orcid":"https://orcid.org/0000-0002-8739-5628","contributorId":2385,"corporation":false,"usgs":true,"family":"SanFilipo","given":"John R.","email":"jsan@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":726428,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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