{"pageNumber":"1764","pageRowStart":"44075","pageSize":"25","recordCount":184739,"records":[{"id":99270,"text":"sir20115046 - 2011 - Gulkana Glacier, Alaska-Mass balance, meteorology, and water measurements-1997-2001","interactions":[],"lastModifiedDate":"2024-01-16T22:51:26.939831","indexId":"sir20115046","displayToPublicDate":"2011-05-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5046","title":"Gulkana Glacier, Alaska-Mass balance, meteorology, and water measurements-1997-2001","docAbstract":"The measured winter snow, maximum winter snow, net, and annual balances for 1997-2001 in the Gulkana Glacier basin are determined at specific points and over the entire glacier area using the meteorological, hydrological, and glaciological data. We provide descriptions of glacier geometry to aid in estimation of conventional and reference surface mass balances and descriptions of ice motion to aid in the understanding of the glacier's response to its changing geometry. These data provide annual estimates for area altitude distribution, equilibrium line altitude, and accumulation area ratio during the study interval. New determinations of historical area altitude distributions are given for 1900 and annually from 1966 to 2001. As original weather instrumentation is nearing the end of its deployment lifespan, we provide new estimates of overlap comparisons and precipitation catch efficiency.\n\nDuring 1997-2001, Gulkana Glacier showed a continued and accelerated negative mass balance trend, especially below the equilibrium line altitude where thinning was pronounced. Ice motion also slowed, which combined with the negative mass balance, resulted in glacier retreat under a warming climate. Average annual runoff augmentation by glacier shrinkage for 1997-2001 was 25 percent compared to the previous average of 13 percent, in accordance with the measured glacier volume reductions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115046","usgsCitation":"March, R.S., and O’Neel, S., 2011, Gulkana Glacier, Alaska-Mass balance, meteorology, and water measurements-1997-2001: U.S. Geological Survey Scientific Investigations Report 2011-5046, viii, 70 p., https://doi.org/10.3133/sir20115046.","productDescription":"viii, 70 p.","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":424458,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95192.htm","linkFileType":{"id":5,"text":"html"}},{"id":115729,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5046/","linkFileType":{"id":5,"text":"html"}},{"id":116114,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5046.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulkana Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -145.33928137695307,\n              63.2999444760608\n            ],\n            [\n              -145.5156977043993,\n              63.2999444760608\n            ],\n            [\n              -145.5156977043993,\n              63.25130158823154\n            ],\n            [\n              -145.33928137695307,\n              63.25130158823154\n            ],\n            [\n              -145.33928137695307,\n              63.2999444760608\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae5e4b07f02db68a792","contributors":{"authors":[{"text":"March, Rod S. rsmarch@usgs.gov","contributorId":416,"corporation":false,"usgs":true,"family":"March","given":"Rod","email":"rsmarch@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":307948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":307949,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99264,"text":"fs20113014 - 2011 - Using models for the optimization of hydrologic monitoring","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"fs20113014","displayToPublicDate":"2011-05-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3014","title":"Using models for the optimization of hydrologic monitoring","docAbstract":"Hydrologists are often asked what kind of monitoring network can most effectively support science-based water-resources management decisions. Currently (2011), hydrologic monitoring locations often are selected by addressing observation gaps in the existing network or non-science issues such as site access. A model might then be calibrated to available data and applied to a prediction of interest (regardless of how well-suited that model is for the prediction). However, modeling tools are available that can inform which locations and types of data provide the most 'bang for the buck' for a specified prediction. Put another way, the hydrologist can determine which observation data most reduce the model uncertainty around a specified prediction.\r\n\r\nAn advantage of such an approach is the maximization of limited monitoring resources because it focuses on the difference in prediction uncertainty with or without additional collection of field data. Data worth can be calculated either through the addition of new data or subtraction of existing information by reducing monitoring efforts (Beven, 1993). The latter generally is not widely requested as there is explicit recognition that the worth calculated is fundamentally dependent on the prediction specified. If a water manager needs a new prediction, the benefits of reducing the scope of a monitoring effort, based on an old prediction, may be erased by the loss of information important for the new prediction.\r\n\r\nThis fact sheet focuses on the worth or value of new data collection by quantifying the reduction in prediction uncertainty achieved be adding a monitoring observation. This calculation of worth can be performed for multiple potential locations (and types) of observations, which then can be ranked for their effectiveness for reducing uncertainty around the specified prediction. This is implemented using a Bayesian approach with the PREDUNC utility in the parameter estimation software suite PEST (Doherty, 2010).\r\n\r\nThe techniques briefly described earlier are described in detail in a U.S. Geological Survey Scientific Investigations Report available on the Internet (Fienen and others, 2010; http://pubs.usgs.gov/sir/2010/5159/). This fact sheet presents a synopsis of the techniques as applied to a synthetic model based on a model constructed using properties from the Lake Michigan Basin (Hoard, 2010).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113014","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Fienen, M., Hunt, R.J., Doherty, J.E., and Reeves, H.W., 2011, Using models for the optimization of hydrologic monitoring: U.S. Geological Survey Fact Sheet 2011-3014, 6 p., https://doi.org/10.3133/fs20113014.","productDescription":"6 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116954,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3014.jpg"},{"id":204768,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3014/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602eb1","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":307932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307931,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118809,"text":"70118809 - 2011 - Seeing the forest and the trees: USGS scientist links local changes to global scale","interactions":[],"lastModifiedDate":"2018-01-12T12:00:17","indexId":"70118809","displayToPublicDate":"2011-05-16T13:29:11","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Seeing the forest and the trees: USGS scientist links local changes to global scale","docAbstract":"<p>The recent recipient of two major awards, Craig D. Allen, a research ecologist with the U.S. Geological Survey Fort Collins Science Center, has loved trees since childhood. He is now considered an expert of world renown on the twin phenomena of forest changes and tree mortality resulting from climate warming and drought, and in 2010 was twice recognized for his scientific contributions.</p><p>In December 2010, Dr. Allen was named a 2010 Fellow of the American Association for the Advancement of Science “for outstanding leadership in the synthesis of global forest responses to climate change, built from worldwide collaboration and a deep understanding of the environmental history of the southwestern United States.”</p><p>In March 2010, he was honored with the Meritorious Service Award from the U.S. Department of the Interior (DOI) in recognition of his outstanding vision, initiative, and scientific contributions to the USGS, DOI, and U.S. Department of Agriculture in establishing a model science program to support adaptive land management at the new Valles Caldera National Preserve in north-central New Mexico.</p><p>Dr. Allen has authored more than 85 publications on landscape ecology and landscape change, from fire history and ecology to ecosystem responses to climate change. He has appeared on NOVA discussing fire ecology and on The Discovery Channel and Discovery Canada explaining the links between drought-induced tree mortality and climate warming, in addition to being interviewed and quoted in innumerable newspaper articles on both topics.</p><p>But how did this unassuming scientist grow from nurturing maple saplings on 40 acres in Wisconsin to understanding forest system stress worldwide?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Wilson, J., and Allen, C.D., 2011, Seeing the forest and the trees: USGS scientist links local changes to global scale, 1 p.","productDescription":"1 p.","numberOfPages":"1","costCenters":[],"links":[{"id":291417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7f65e4b0824b2d1477b6","contributors":{"authors":[{"text":"Wilson, Jim","contributorId":10503,"corporation":false,"usgs":false,"family":"Wilson","given":"Jim","affiliations":[],"preferred":false,"id":497280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99263,"text":"ofr20111091 - 2011 - Distribution of Fecal Indicator Bacteria along the Malibu, California, Coastline","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"ofr20111091","displayToPublicDate":"2011-05-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1091","title":"Distribution of Fecal Indicator Bacteria along the Malibu, California, Coastline","docAbstract":"Each year, over 550 million people visit California's public beaches. To protect beach-goers from exposure to waterborne disease, California state law requires water-quality monitoring for fecal indicator bacteria (FIB), such as enterococci and Escherichia coli (E. coli), at beaches having more than 50,000 yearly visitors. FIB are used to assess the microbiological quality of water because, although not typically disease causing, they are correlated with the occurrence of certain waterborne diseases. Tests show that FIB concentrations occasionally exceed U.S. Environmental Protection Agency (USEPA) public health standards for recreational water in Malibu Lagoon and at several Malibu beaches (Regional Water Quality Control Board, 2009).\r\nScientists from the U.S. Geological Survey's (USGS) California Water Science Center are doing a study to identify the distribution and sources of FIB in coastal Malibu waters (fig. 1). The study methods were similar to those used in a study of FIB contamination on beaches in the Santa Barbara, California, area (Izbicki and others, 2009). This report describes the study approach and presents preliminary results used to evaluate the distribution and source of FIB in the Malibu area. Results of this study will help decision-makers address human health issues associated with FIB contamination in Malibu, and the methods used in this study can be used in other coastal areas affected by FIB contamination.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111091","collaboration":"In cooperation with the City of Malibu","usgsCitation":"Izbicki, J., 2011, Distribution of Fecal Indicator Bacteria along the Malibu, California, Coastline: U.S. Geological Survey Open-File Report 2011-1091, 8 p., https://doi.org/10.3133/ofr20111091.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116950,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1091.jpg"},{"id":14679,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1091/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db649204","contributors":{"authors":[{"text":"Izbicki, John 0000-0003-0816-4408","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":91905,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","affiliations":[],"preferred":false,"id":307928,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70236059,"text":"70236059 - 2011 - Fire as an evolutionary pressure shaping plant traits","interactions":[],"lastModifiedDate":"2022-08-26T16:37:51.943805","indexId":"70236059","displayToPublicDate":"2011-05-14T11:34:06","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5521,"text":"Trends in Plant Science","active":true,"publicationSubtype":{"id":10}},"title":"Fire as an evolutionary pressure shaping plant traits","docAbstract":"<p><span>Traits, such as resprouting, serotiny and germination by heat and smoke, are adaptive in fire-prone environments. However, plants are not adapted to fire&nbsp;</span><i>per se</i><span>&nbsp;but to fire regimes. Species can be threatened when humans alter the regime, often by increasing or decreasing fire frequency. Fire-adaptive traits are potentially the result of different evolutionary pathways. Distinguishing between traits that are adaptations originating in response to fire or&nbsp;exaptations&nbsp;originating in response to other factors might not always be possible. However, fire has been a factor throughout the history of land-plant evolution and is not strictly a Neogene phenomenon. Mesozoic fossils show evidence of fire-adaptive traits and, in some lineages, these might have persisted to the present as fire adaptations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tplants.2011.04.002","usgsCitation":"Keeley, J.E., Pausas, J.G., Rundel, P.W., Bond, W.J., and Bradstock, R.A., 2011, Fire as an evolutionary pressure shaping plant traits: Trends in Plant Science, v. 16, no. 8, p. 406-411, https://doi.org/10.1016/j.tplants.2011.04.002.","productDescription":"6 p.","startPage":"406","endPage":"411","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475002,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/43109","text":"External Repository"},{"id":405691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":849885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pausas, Juli G.","contributorId":197439,"corporation":false,"usgs":false,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":849886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rundel, Philip W.","contributorId":107552,"corporation":false,"usgs":true,"family":"Rundel","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":849887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":849888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradstock, Ross A.","contributorId":42826,"corporation":false,"usgs":false,"family":"Bradstock","given":"Ross","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":849889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":99261,"text":"ofr20111045 - 2011 - The dynamics of fine-grain sediment dredged from Santa Cruz Harbor","interactions":[],"lastModifiedDate":"2022-09-08T20:32:23.510399","indexId":"ofr20111045","displayToPublicDate":"2011-05-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1045","title":"The dynamics of fine-grain sediment dredged from Santa Cruz Harbor","docAbstract":"<p><span>In the fall and early winter of 2009, a demonstration project was done at Santa Cruz Harbor, California, to determine if 450 m</span><sup>3</sup><span>/day of predominantly (71 percent) mud-sized sediment could be dredged from the inner portion of the harbor and discharged to the coastal ocean without significant impacts to the beach and inner shelf. During the project, more than 7600 m</span><sup>3</sup><span>&nbsp;of sediment (~5400 m</span><sup>3</sup><span>&nbsp;of fine-grain material) was dredged during 17 days and discharged approximately 60 m offshore of the harbor at a depth of 2 m on the inner shelf. The U.S. Geological Survey’s Pacific Coastal and Marine Science Center was funded by the U.S. Army Corps of Engineers and the Santa Cruz Port District to do an integrated mapping and process study to investigate the fate of the mud-sized sediment dredged from the inner portion of Santa Cruz Harbor and to determine if any of the fine-grain material settled out on the shoreline and/or inner shelf during the fall and early winter of 2009. This was done by collecting high resolution oceanographic and sediment geochemical measurements along the shoreline and on the continental shelf of northern Monterey Bay to monitor the fine-grain sediment dredged from Santa Cruz Harbor and discharged onto the inner shelf. These in place measurements, in conjunction with beach, water column, and seabed surveys, were used as boundary and calibration information for a three-dimensional numerical circulation and sediment dynamics model to better understand the fate of the fine-grain sediment dredged from Santa Cruz Harbor and the potential consequences of disposing this type of material on the beach and on the northern Monterey Bay continental shelf.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111045","usgsCitation":"Storlazzi, C., Conaway, C., Presto, M., Logan, J., Cronin, K., van Ormondt, M., Lescinski, J., Harden, E.L., Lacy, J.R., and Tonnon, P.K., 2011, The dynamics of fine-grain sediment dredged from Santa Cruz Harbor: U.S. Geological Survey Open-File Report 2011-1045, v, 110 p., https://doi.org/10.3133/ofr20111045.","productDescription":"v, 110 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116949,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1045.gif"},{"id":406399,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95194.htm","linkFileType":{"id":5,"text":"html"}},{"id":14677,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1045/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Harbor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.028751373291,\n              36.930271781871554\n            ],\n            [\n              -121.98858261108397,\n              36.930271781871554\n            ],\n            [\n              -121.98858261108397,\n              36.964294867385455\n            ],\n            [\n              -122.028751373291,\n              36.964294867385455\n            ],\n            [\n              -122.028751373291,\n              36.930271781871554\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4e08","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":307921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conaway, Christopher H.","contributorId":52620,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[],"preferred":false,"id":307919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presto, M. Katherine","contributorId":30192,"corporation":false,"usgs":true,"family":"Presto","given":"M. Katherine","affiliations":[],"preferred":false,"id":307915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":307916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cronin, Katherine","contributorId":27505,"corporation":false,"usgs":true,"family":"Cronin","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":307914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Ormondt, Maarten","contributorId":50181,"corporation":false,"usgs":true,"family":"van Ormondt","given":"Maarten","affiliations":[],"preferred":false,"id":307918,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lescinski, Jamie","contributorId":35371,"corporation":false,"usgs":true,"family":"Lescinski","given":"Jamie","affiliations":[],"preferred":false,"id":307917,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harden, E. Lynne","contributorId":54639,"corporation":false,"usgs":true,"family":"Harden","given":"E.","email":"","middleInitial":"Lynne","affiliations":[],"preferred":false,"id":307920,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307913,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tonnon, Pieter K.","contributorId":79525,"corporation":false,"usgs":true,"family":"Tonnon","given":"Pieter","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":307922,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":99262,"text":"sir20115012 - 2011 - Gas and isotope chemistry of thermal features in Yellowstone National Park, Wyoming","interactions":[],"lastModifiedDate":"2019-03-04T12:25:53","indexId":"sir20115012","displayToPublicDate":"2011-05-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5012","title":"Gas and isotope chemistry of thermal features in Yellowstone National Park, Wyoming","docAbstract":"<p>This report presents 130 gas analyses and 31 related water analyses on samples collected from thermal features at Yellowstone between 2003 and 2009. An overview of previous studies of gas emissions at Yellowstone is also given. The analytical results from the present study include bulk chemistry of gases and waters and isotope values for water and steam (delta18O, dealtaD), carbon dioxide (delta13C only), methane (delta13C only), helium, neon, and argon. We include appendixes containing photos of sample sites, geographic information system (GIS) files including shape and kml formats, and analytical results in spreadsheets. In addition, we provide a lengthy discussion of previous work on gas chemistry at Yellowstone and a general discussion of the implications of our results. We demonstrate that gases collected from different thermal areas often have distinct chemical signatures, and that differences across the thermal areas are not a simple function of surface temperatures or the type of feature. Instead, gas chemistry and isotopic composition are linked to subsurface lithologies and varying contributions from magmatic, crustal, and meteoric sources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115012","usgsCitation":"Bergfeld, D., Lowenstern, J.B., Hunt, A.G., Shanks, W.P., and Evans, W., 2011, Gas and isotope chemistry of thermal features in Yellowstone National Park, Wyoming (First posted May 12, 2011; Revised and reposted October 27, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2011-5012, v, 26 p., https://doi.org/10.3133/sir20115012.","productDescription":"v, 26 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":438826,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H13105","text":"USGS data release","linkHelpText":"Chemical and isotopic data on gases and waters for thermal and non-thermal features across Yellowstone National Park (2003-2015)"},{"id":116948,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20115012.gif"},{"id":296508,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5012/sir2011-5012_text_v1.1.pdf","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296509,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5012/sir2011-5012_appendixes/sir2011-5012_v1.1_Appendix%20_1.pdf","text":"Appendix 1","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296510,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5012/sir2011-5012_appendixes/sir2011-5012_appendix2.kmz","text":"Appendix 2","size":"29 kB"},{"id":296511,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5012/sir2011-5012_appendixes/sir2011-5012_appendix3_gis.zip","text":"Appendix 3","size":"29 kB"},{"id":296512,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2011/5012/sir2011-5012_tables/sir_2011-5012_v1.1_tables.xls","text":"Tables 1-4","size":"226 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":14678,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5012/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.16790771484375,\n              44.054037803237804\n            ],\n            [\n              -111.16790771484375,\n              45.11423838585088\n            ],\n            [\n              -109.676513671875,\n              45.11423838585088\n            ],\n            [\n              -109.676513671875,\n              44.054037803237804\n            ],\n            [\n              -111.16790771484375,\n              44.054037803237804\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"First posted May 12, 2011; Revised and reposted October 27, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b1329","contributors":{"authors":[{"text":"Bergfeld, D. dbergfel@usgs.gov","contributorId":2069,"corporation":false,"usgs":true,"family":"Bergfeld","given":"D.","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":307924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shanks, W.C. Pat III","contributorId":93949,"corporation":false,"usgs":true,"family":"Shanks","given":"W.C.","suffix":"III","email":"","middleInitial":"Pat","affiliations":[],"preferred":false,"id":307927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, William","contributorId":9305,"corporation":false,"usgs":true,"family":"Evans","given":"William","affiliations":[],"preferred":false,"id":307926,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198343,"text":"70198343 - 2011 - Shallow degassing events as a trigger for very-long-period seismicity at Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2019-07-18T08:06:12","indexId":"70198343","displayToPublicDate":"2011-05-12T08:14:39","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Shallow degassing events as a trigger for very-long-period seismicity at Kilauea Volcano, Hawaii","docAbstract":"<p><span>The first eruptive activity at Kīlauea Volcano’s summit in 25&nbsp;years began in March 2008 with the opening of a 35-m-wide vent in Halema‘uma‘u crater. The new activity has produced prominent very-long-period (VLP) signals corresponding with two new behaviors: episodic tremor bursts and small explosive events, both of which represent degassing events from the top of the lava column. Previous work has shown that VLP seismicity has long been present at Kīlauea’s summit, and is sourced approximately 1&nbsp;km below Halema‘uma‘u. By integrating video observations, infrasound and seismic data, we show that the onset of the large VLP signals occurs within several seconds of the onset of the degassing events. This timing indicates that the VLP is caused by forces—sourced at or very near the lava free surface due to degassing—transmitted down the magma column and coupling to the surrounding rock at 1&nbsp;km depth.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-011-0475-y","usgsCitation":"Patrick, M.R., Wilson, D., Fee, D., Orr, T.R., and Swanson, D., 2011, Shallow degassing events as a trigger for very-long-period seismicity at Kilauea Volcano, Hawaii: Bulletin of Volcanology, v. 73, no. 9, p. 1179-1186, https://doi.org/10.1007/s00445-011-0475-y.","productDescription":"8 p.","startPage":"1179","endPage":"1186","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","volume":"73","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-12","publicationStatus":"PW","scienceBaseUri":"5b98b41ce4b0702d0e844a6a","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, David C. dwilson@usgs.gov","contributorId":4588,"corporation":false,"usgs":true,"family":"Wilson","given":"David C.","email":"dwilson@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":741154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":741155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":139620,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":741156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741157,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":9001500,"text":"sir20095120 - 2011 - Borehole geophysical investigation of a formerly used defense site, Machiasport, Maine, 2003-2006","interactions":[],"lastModifiedDate":"2019-10-24T14:19:42","indexId":"sir20095120","displayToPublicDate":"2011-05-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5120","title":"Borehole geophysical investigation of a formerly used defense site, Machiasport, Maine, 2003-2006","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, collected borehole geophysical logs in 18 boreholes and interpreted the data along with logs from 19 additional boreholes as part of an ongoing, collaborative investigation at three environmental restoration sites in Machiasport, Maine. These sites, located on hilltops overlooking the seacoast, formerly were used for military defense. At each of the sites, chlorinated solvents, used as part of defense-site operations, have contaminated the fractured-rock aquifer. Borehole geophysical techniques and hydraulic methods were used to characterize bedrock lithology, fractures, and hydraulic properties. In addition, each geophysical method was evaluated for effectiveness for site characterization and for potential application for further aquifer characterization and (or) evaluation of remediation efforts. Results of borehole geophysical logging indicate the subsurface is highly fractured, metavolcanic, intrusive, metasedimentary bedrock. Selected geophysical logs were cross-plotted to assess correlations between rock properties. These plots included combinations of gamma, acoustic reflectivity, electromagnetic induction conductivity, normal resistivity, and single-point resistance. The combined use of acoustic televiewer (ATV) imaging and natural gamma logs proved to be effective for delineating rock types. Each of the rock units in the study area could be mapped in the boreholes, on the basis of the gamma and ATV reflectivity signatures. The gamma and mean ATV reflectivity data were used along with the other geophysical logs for an integrated interpretation, yielding a determination of quartz monzonite, rhyolite, metasedimentary units, or diabase/gabbro rock types. The interpretation of rock types on the basis of the geophysical logs compared well to drilling logs and geologic mapping. These results may be helpful for refining the geologic framework at depth. A stereoplot of all fractures intersecting the boreholes indicates numerous fractures, a high proportion of steeply dipping fractures, and considerable variation in fracture orientation. Low-dip-angle fractures associated with unloading and exfoliation are also present, especially at a depth of less than 100 feet below the top of casing. These sub-horizontal fractures help to connect the steeply dipping fractures, making this a highly connected fracture network. The high variability in the fracture orientations also increases the connectivity of the fracture network. A preliminary comparison of all fracture data from all the boreholes suggests fracturing decreases with depth. Because all the boreholes were not drilled to the same depth, however, there is a clear sampling bias. Hence, the deepest boreholes are analyzed separately for fracture density. For the deepest boreholes in the study, the intensity of fracturing does not decline significantly with depth. It is possible the fractures observed in these boreholes become progressively tighter or closed with depth, but this is difficult to verify with the borehole methods used in this investigation. The fact that there are more sealed fractures at depth (observed in optical televiewer logs in some of the boreholes) may indicate less opening of the sealed fractures, less water moving through the rock, and less weathering of the fracture infilling minerals. Although the fracture orientation remained fairly constant with depth, differences in the fracture patterns for the three restoration sites indicate the orientation of fractures varies across the study area. The fractures in boreholes on Miller Mountain predominantly strike northwest-southeast, and to a lesser degree they strike northeast. The fractures on or near the summit of Howard Mountain strike predominantly east-west and dip north and south, and the fractures near the Transmitter Site strike northeast-southwest and dip northwest and southeast. The fracture populations for the boreholes on or near the summit of Howard Mountain show more variation than at the other two sites. This variation may be related to the proximity of the fault, which is northeast of the summit of Howard Mountain. In a side-by-side comparison of stereoplots from selected boreholes, there was no clear correspondence between fracture orientation and proximity to the fault. There is, however, a difference in the total populations of fractures for the boreholes on or near the summit of Howard Mountain and the boreholes near the Transmitter Site. Further to the southwest and further away from the fault, the fractures at the Transmitter Site predominantly strike northeast-southwest and northwest-southeast.Heat-pulse flowmeter (HPFM) logging was used to identify transmissive fractures and to estimate the hydraulic properties along the boreholes. Ambient downflow was measured in 13 boreholes and ambient upflow was measured in 9 boreholes. In nine other bedrock boreholes, the HPFM did not detect measurable vertical flow. The observed direction of vertical flow in the boreholes generally was consistent with the conceptual flow model of downward movement in recharge locations and upward flow in discharge locations or at breaks in the slope of land surface. Under low-rate pumping or injection rates [0.25 to 1 gallon per minute (gal/min)], one to three inflow zones were identified in each borehole. Two limitations of HPFM methods are (1) the HPFM can only identify zones within 1.5 to 2 orders of magnitude of the most transmissive zone in each borehole, and (2) the HPFM cannot detect flow rates less than 0.010 + or - 0.005 gal/min, which corresponds to a transmissivity of about 1 foot squared per day (ft2/d). Consequently, the HPFM is considered an effective tool for identifying the most transmissive fractures in a borehole, down to its detection level. Transmissivities below that cut-off must be measured with another method, such as packer testing or fluid-replacement logging. Where sufficient water-level and flowmeter data were available, HPFM results were numerically modeled. For each borehole model, the fracture location and measured flow rates were specified, and the head and transmissivity of each fracture zone were adjusted until a model fit was achieved with the interpreted ambient and stressed flow profiles. The transmissivities calculated by this method are similar to the results of an open-hole slug test; with the added information from the flowmeter, however, the head and transmissivity of discrete zones also can be determined. The discrete-interval transmissivities ranged from 0.16 to 330 ft2/d. The flowmeter-derived open-hole transmissivity, which is the combined total of each of the transmissive zones, ranged from 1 to 511 ft2/d. The whole-well open-hole transmissivity values determined with HPFM methods were compared to the results of open-hole hydraulic tests. Despite the fact that the flowmeter-derived transmissivities consistently were lower than the estimates derived from open-hole hydraulic tests alone, the correlation was very strong (with a coefficient of determination, R2, of 0.9866), indicating the HPFM method provides a reasonable estimate of transmissivities for the most transmissive fractures in the borehole. Geologic framework, fracture characterization, and estimates of hydraulic properties were interpreted together to characterize the fracture network. The data and interpretation presented in this report should provide information useful for site investigators as the conceptual site groundwater flow model is refined. Collectively, the results and the conceptual site model are important for evaluating remediation options and planning or implementing the design of a well field and borehole completions that will be adequate for monitoring flow, remediation efforts, groundwater levels, and (or) water quality. Similar kinds of borehole geophysical logging (specifically the borehole imaging, gamma, fluid logs, and HPFM) should be conducted in any newly installed boreholes and integrated with interpretations of any nearby boreholes. If boreholes are installed close to existing or other new boreholes, cross-hole flowmeter surveys may be appropriate and may help characterize the aquifer properties and connections between the boreholes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095120","collaboration":"Prepared in cooperation with the\r\nU.S. Army Corps of Engineers, New England District","usgsCitation":"Johnson, C.D., Mondazzi, R.A., and Joesten, P.K., 2011, Borehole geophysical investigation of a formerly used defense site, Machiasport, Maine, 2003-2006: U.S. Geological Survey Scientific Investigations Report 2009-5120, Report: viii, 75 p.; 6 Appendixes, https://doi.org/10.3133/sir20095120.","productDescription":"Report: viii, 75 p.; 6 Appendixes","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":116985,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5120.jpg"},{"id":368562,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2009/5120/pdf/Appendixes%201-6_individual/sir2009-5120_apx01.pdf","text":"Appendix 1"},{"id":368564,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2009/5120/pdf/Appendixes%201-6_individual/sir2009-5120_apx03.pdf","text":"Appendix 3"},{"id":368563,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2009/5120/pdf/Appendixes%201-6_individual/sir2009-5120_apx02.pdf","text":"Appendix 2"},{"id":368565,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2009/5120/pdf/Appendixes%201-6_individual/sir2009-5120_apx04.pdf","text":"Appendix 4"},{"id":368566,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2009/5120/pdf/Appendixes%201-6_individual/sir2009-5120_apx05.pdf","text":"Appendix 5"},{"id":368567,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2009/5120/pdf/Appendixes%201-6_individual/sir2009-5120_apx06.pdf","text":"Appendix 6"},{"id":19868,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5120/pdf/sir2009-5120_text_508.pdf","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maine","city":"Machiasport","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.50240325927734,\n              44.618088532560364\n            ],\n            [\n              -67.24113464355469,\n              44.618088532560364\n            ],\n            [\n              -67.24113464355469,\n              44.75429167998072\n            ],\n            [\n              -67.50240325927734,\n              44.75429167998072\n            ],\n            [\n              -67.50240325927734,\n              44.618088532560364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602a09","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":344636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mondazzi, Remo A.","contributorId":77898,"corporation":false,"usgs":true,"family":"Mondazzi","given":"Remo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148187,"text":"70148187 - 2011 - Social network models predict movement and connectivity in ecological landscapes","interactions":[],"lastModifiedDate":"2015-05-26T10:09:16","indexId":"70148187","displayToPublicDate":"2011-05-11T11:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Social network models predict movement and connectivity in ecological landscapes","docAbstract":"<p>Network analysis is on the rise across scientific disciplines because of its ability to reveal complex, and often emergent, patterns and dynamics. Nonetheless, a growing concern in network analysis is the use of limited data for constructing networks. This concern is strikingly relevant to ecology and conservation biology, where network analysis is used to infer connectivity across landscapes. In this context, movement among patches is the crucial parameter for interpreting connectivity but because of the difficulty of collecting reliable movement data, most network analysis proceeds with only indirect information on movement across landscapes rather than using observed movement to construct networks. Statistical models developed for social networks provide promising alternatives for landscape network construction because they can leverage limited movement information to predict linkages. Using two mark-recapture datasets on individual movement and connectivity across landscapes, we test whether commonly used network constructions for interpreting connectivity can predict actual linkages and network structure, and we contrast these approaches to social network models. We find that currently applied network constructions for assessing connectivity consistently, and substantially, overpredict actual connectivity, resulting in considerable overestimation of metapopulation lifetime. Furthermore, social network models provide accurate predictions of network structure, and can do so with remarkably limited data on movement. Social network models offer a flexible and powerful way for not only understanding the factors influencing connectivity but also for providing more reliable estimates of connectivity and metapopulation persistence in the face of limited data.</p>","language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1107549108","collaboration":"US Army Corps of Engineers; US Fish and Wildlife Service; US Geological Survey; National Science Foundation (NSF) Quantitative Spatial Ecology, Evolution, and Environment (QSE3) at the University of Florida","usgsCitation":"Fletcher, R.J., Acevedo, M., Reichert, B.E., Pias, K., and Kitchens, W.M., 2011, Social network models predict movement and connectivity in ecological landscapes: Proceedings of the National Academy of Sciences of the United States of America, v. 108, no. 48, p. 19282-19287, https://doi.org/10.1073/pnas.1107549108.","productDescription":"6 p.","startPage":"19282","endPage":"19287","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030070","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1107549108","text":"Publisher Index Page"},{"id":300773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"48","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-11-14","publicationStatus":"PW","scienceBaseUri":"55659956e4b0d9246a9eb644","contributors":{"authors":[{"text":"Fletcher, Robert J. Jr.","contributorId":41294,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":547586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acevedo, M.A.","contributorId":91317,"corporation":false,"usgs":true,"family":"Acevedo","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":547587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pias, Kyle E.","contributorId":26535,"corporation":false,"usgs":true,"family":"Pias","given":"Kyle E.","affiliations":[],"preferred":false,"id":547589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":99258,"text":"ds597 - 2011 - Locations and attributes of wind turbines in Colorado, 2009","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"ds597","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"597","title":"Locations and attributes of wind turbines in Colorado, 2009","docAbstract":"The Colorado wind-turbine data series provides geospatial data for all wind turbines established within the State as of August 2009. Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, and county. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, year the facility went online, and development status of wind facility. Turbine locations were derived from August 2009 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program; the photographs have a positional accuracy of about + or - 5 meters. The location of turbines under construction during August 2009 likely will be less accurate than the location of existing turbines. \r\n\r\nThis data series contributes to an Online Interactive Energy Atlas currently (2011) in development by the U.S. Geological Survey. The Energy Atlas will synthesize data on existing and potential energy development in Colorado and New Mexico and will include additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools will be included in the Energy Atlas. The format of the Energy Atlas will facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds597","usgsCitation":"Carr, N.B., Diffendorfer, J.E., Fancher, T., Latysh, N.E., Leib, K.J., Matherne, A., and Turner, C., 2011, Locations and attributes of wind turbines in Colorado, 2009: U.S. Geological Survey Data Series 597, Downloads Directory, https://doi.org/10.3133/ds597.","productDescription":"Downloads Directory","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":14674,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/597/","linkFileType":{"id":5,"text":"html"}},{"id":116981,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_597.png"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a69e4b07f02db63bf4f","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":307902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S.","contributorId":17689,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy S.","affiliations":[],"preferred":false,"id":307899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latysh, Natalie E.","contributorId":39860,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":307896,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matherne, Anne-Marie 0000-0002-5873-2226","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":32279,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne-Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turner, Christine cturner@usgs.gov","contributorId":1189,"corporation":false,"usgs":true,"family":"Turner","given":"Christine","email":"cturner@usgs.gov","affiliations":[],"preferred":true,"id":307897,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":99260,"text":"tm6A37 - 2011 - MODFLOW-NWT, a Newton formulation for MODFLOW-2005","interactions":[],"lastModifiedDate":"2023-05-25T13:14:41.301706","indexId":"tm6A37","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A37","title":"MODFLOW-NWT, a Newton formulation for MODFLOW-2005","docAbstract":"This report documents a Newton formulation of MODFLOW-2005, called MODFLOW-NWT. MODFLOW-NWT is a standalone program that is intended for solving problems involving drying and rewetting nonlinearities of the unconfined groundwater-flow equation. MODFLOW-NWT must be used with the Upstream-Weighting (UPW) Package for calculating intercell conductances in a different manner than is done in the Block-Centered Flow (BCF), Layer Property Flow (LPF), or Hydrogeologic-Unit Flow (HUF; Anderman and Hill, 2000) Packages.\r\n\r\nThe UPW Package treats nonlinearities of cell drying and rewetting by use of a continuous function of groundwater head, rather than the discrete approach of drying and rewetting that is used by the BCF, LPF, and HUF Packages. This further enables application of the Newton formulation for unconfined groundwater-flow problems because conductance derivatives required by the Newton method are smooth over the full range of head for a model cell.\r\n\r\nThe NWT linearization approach generates an asymmetric matrix, which is different from the standard MODFLOW formulation that generates a symmetric matrix. Because all linear solvers presently available for use with MODFLOW-2005 solve only symmetric matrices, MODFLOW-NWT includes two previously developed asymmetric matrix-solver options. The matrix-solver options include a generalized-minimum-residual (GMRES) Solver and an Orthomin / stabilized conjugate-gradient (CGSTAB) Solver. The GMRES Solver is documented in a previously published report, such that only a brief description and input instructions are provided in this report. However, the CGSTAB Solver (called <sub>X</sub>MD) is documented in this report.\r\n\r\nFlow-property input for the UPW Package is designed based on the LPF Package and material-property input is identical to that for the LPF Package except that the rewetting and vertical-conductance correction options of the LPF Package are not available with the UPW Package. Input files constructed for the LPF Package can be used with slight modification as input for the UPW Package. This report presents the theory and methods used by MODFLOW-NWT, including the UPW Package. Additionally, this report provides comparisons of the new methodology to analytical solutions of groundwater flow and to standard MODFLOW-2005 results by use of an unconfined aquifer MODFLOW example problem. The standard MODFLOW-2005 simulation uses the LPF Package with the wet/dry option active. A new example problem also is presented to demonstrate MODFLOW-NWT's ability to provide a solution for a difficult unconfined groundwater-flow problem.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm6A37","collaboration":"Groundwater Resources Program","usgsCitation":"Niswonger, R., Panday, S., and Ibaraki, M., 2011, MODFLOW-NWT, a Newton formulation for MODFLOW-2005: U.S. Geological Survey Techniques and Methods 6-A37, vii, 44 p., https://doi.org/10.3133/tm6A37.","productDescription":"vii, 44 p.","additionalOnlineFiles":"N","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":14676,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6a37/","linkFileType":{"id":5,"text":"html"}},{"id":116983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_a37.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648d45","contributors":{"authors":[{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":307910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":307912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ibaraki, Motomu","contributorId":81235,"corporation":false,"usgs":true,"family":"Ibaraki","given":"Motomu","email":"","affiliations":[],"preferred":false,"id":307911,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99259,"text":"ds596 - 2011 - Locations and attributes of wind turbines in New Mexico, 2009","interactions":[],"lastModifiedDate":"2012-02-02T00:15:56","indexId":"ds596","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"596","title":"Locations and attributes of wind turbines in New Mexico, 2009","docAbstract":"The New Mexico wind-turbine data series provides geospatial data for all wind turbines established within the State as of August 2009. Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, and county. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, year the facility went online, and development status of wind facility. Turbine locations were derived from 1-meter August 2009 true-color aerial photographs produced by the National Agriculture Imagery Program; the photographs have a positional accuracy of about + or - 5 meters. The location of turbines under construction during August 2009 likely will be less accurate than the location of existing turbines. \r\n\r\nThis data series contributes to an Online Interactive Energy Atlas currently (2011) in development by the U.S. Geological Survey. The Energy Atlas will synthesize data on existing and potential energy development in Colorado and New Mexico and will include additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools will be included in the Energy Atlas. The format of the Energy Atlas will facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds596","usgsCitation":"Carr, N.B., Diffendorfer, J.E., Fancher, T., Latysh, N.E., Leib, K.J., Matherne, A., and Turner, C., 2011, Locations and attributes of wind turbines in New Mexico, 2009: U.S. Geological Survey Data Series 596, Downloads Directory, https://doi.org/10.3133/ds596.","productDescription":"Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":116984,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_596.bmp"},{"id":14675,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/596/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a69e4b07f02db63bf51","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":307909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S.","contributorId":17689,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy S.","affiliations":[],"preferred":false,"id":307906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Latysh, Natalie E.","contributorId":39860,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":307903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matherne, Anne-Marie 0000-0002-5873-2226","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":32279,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne-Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turner, Christine cturner@usgs.gov","contributorId":1189,"corporation":false,"usgs":true,"family":"Turner","given":"Christine","email":"cturner@usgs.gov","affiliations":[],"preferred":true,"id":307904,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":99255,"text":"sir20115063 - 2011 - Recommended methods for range-wide monitoring of prairie dogs in the United States","interactions":[],"lastModifiedDate":"2018-10-20T12:36:50","indexId":"sir20115063","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5063","title":"Recommended methods for range-wide monitoring of prairie dogs in the United States","docAbstract":"One of the greatest challenges for conserving grassland, prairie scrub, and shrub-steppe ecosystems is maintaining prairie dog populations across the landscape. Of the four species of prairie dogs found in the United States, the Utah prairie dog (Cynomys parvidens) is listed under the Endangered Species Act (ESA) as threatened, the Gunnison's prairie dog (C. gunnisoni) is a candidate for listing in a portion of its range, and the black-tailed prairie dog (C. ludovicianus) and white-tailed prairie dog (C. leucurus) have each been petitioned for listing at least once in recent history. Although the U.S. Fish and Wildlife Service (USFWS) determined listing is not warranted for either the black-tailed prairie dog or white-tailed prairie dog, the petitions and associated reviews demonstrated the need for the States to monitor and manage for self-sustaining populations. \r\n\r\nIn response to these findings, a multi-State conservation effort was initiated for the nonlisted species which included the following proposed actions: (1) completing an assessment of each prairie dog species in each State, (2) developing a range-wide monitoring protocol for each species using a statistically valid sampling procedure that would allow comparable analyses across States, and (3) monitoring prairie dog status every 3-5 years depending upon the species. To date, each State has completed an assessment and currently is monitoring prairie dog status; however, for some species, the inconsistency in survey methodology has made it difficult to compare data year-to-year or State-to-State. At the Prairie Dog Conservation Team meeting held in November 2008, there was discussion regarding the use of different methods to survey prairie dogs. A recommendation from this meeting was to convene a panel in a workshop-type forum and have the panel review the different methods being used and provide recommendations for range-wide monitoring protocols for each species of prairie dog. Consequently, the Western Association of Fish and Wildlife Agencies (WAFWA), in coordination with USFWS and U.S. Geological Survey (USGS), hosted a prairie dog species survey methodology workshop January 25-28, 2010 in Fort Collins, Colorado. The workshop provided all WAFWA partners and interested parties the opportunity to present their survey methodology to a review panel made up of experts in the fields of quantitative biology, population biology, species biology, and biostatistics. This report presents the panel's survey methodology recommendations for each of the four species of prairie dogs found in the United States and, for the black-tailed prairie dog, a list of action items to facilitate implementation of the recommended methodology. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115063","usgsCitation":"McDonald, L.L., Stanley, T.R., Otis, D.L., Biggins, D.E., Stevens, P., Koprowski, J., and Ballard, W., 2011, Recommended methods for range-wide monitoring of prairie dogs in the United States: U.S. Geological Survey Scientific Investigations Report 2011-5063, iv, 23 p.;  Appendix, https://doi.org/10.3133/sir20115063.","productDescription":"iv, 23 p.;  Appendix","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":116979,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5063.png"},{"id":14671,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5063/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629f00","contributors":{"authors":[{"text":"McDonald, Lyman L.","contributorId":14939,"corporation":false,"usgs":true,"family":"McDonald","given":"Lyman","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":307883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307882,"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":307885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevens, Patricia D.","contributorId":97230,"corporation":false,"usgs":true,"family":"Stevens","given":"Patricia D.","affiliations":[],"preferred":false,"id":307887,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koprowski, John L.","contributorId":20057,"corporation":false,"usgs":true,"family":"Koprowski","given":"John L.","affiliations":[],"preferred":false,"id":307884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ballard, Warren","contributorId":80398,"corporation":false,"usgs":true,"family":"Ballard","given":"Warren","affiliations":[],"preferred":false,"id":307886,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70168469,"text":"70168469 - 2011 - Use of early-successional managed northern forest by mature-forest species during the post-fledging period","interactions":[],"lastModifiedDate":"2016-02-16T17:08:35","indexId":"70168469","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Use of early-successional managed northern forest by mature-forest species during the post-fledging period","docAbstract":"<div class=\"page\" title=\"Page 2\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p>In eastern North America, after the young fledge, both adult and juvenile mature-forest birds may use regenerating clearcuts, although which species frequent early-successional forest and during which life stages is not well documented. To assess whether birds nesting in mature forest in north-central Minnesota use regenerating clearcuts 2&ndash;10 years old, we netted after birds fledged (2006&ndash;2009) and during the breeding season (2009). In addition, we monitored Ovenbird (<i>Seiurus aurocapilla</i>) nests and banded nestlings in adjacent mature forest and estimated the age at which juveniles used regenerating clearcuts. While banding, we also recorded nests of any species encountered opportunistically in regenerating clearcuts as evidence of breeding in this cover type. During July and August, we captured 4556 birds of 62 species, of which 1746 (38%) were of 28 mature-forest species. As reported elsewhere, most (76%) mature-forest birds we captured were of only a few species: Ovenbird, American Redstart (<i>Setophaga ruticilla</i>), Least Flycatcher (<i>Empidonax minimus</i>), and Black-and-white Warbler (<i>Mniotilta varia</i>). In 2009, 21% of captures during the nesting period were of mature-forest birds. Comparing dates of fledging from monitored nests to dates of capture in clearcuts implies that nearly all (95%) hatch-year Ovenbirds using clearcuts were independent of adult care. Capture dates of juveniles of other mature-forest species were similar. Although we captured 340 hatch-year Ovenbirds in regenerating clearcuts, we captured only one of 424 Ovenbirds we had banded as nestlings in adjacent mature forest. Within the clearcuts, we encountered nests of five species that typically nest in mature forest.</p>\n<p>&nbsp;</p>\n</div>\n</div>\n</div>","language":"English","publisher":"Cooper Ornithological Club","publisherLocation":"Santa Clara, CA","doi":"10.1525/cond.2011.110012","usgsCitation":"Streby, H.M., Peterson, S.M., McAllister, T.L., and Andersen, D., 2011, Use of early-successional managed northern forest by mature-forest species during the post-fledging period: The Condor, v. 113, no. 4, p. 817-824, https://doi.org/10.1525/cond.2011.110012.","productDescription":"8 p.","startPage":"817","endPage":"824","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026735","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":475006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.110012","text":"Publisher Index Page"},{"id":318093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Chippewa National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.72412109375,\n              47.387193097780425\n            ],\n            [\n              -94.72412109375,\n              47.864773955792245\n            ],\n            [\n              -93.3782958984375,\n              47.864773955792245\n            ],\n            [\n              -93.3782958984375,\n              47.387193097780425\n            ],\n            [\n              -94.72412109375,\n              47.387193097780425\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"113","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c4565ce4b0946c652185f2","contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":620453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":620618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAllister, Tara L.","contributorId":166970,"corporation":false,"usgs":false,"family":"McAllister","given":"Tara","email":"","middleInitial":"L.","affiliations":[{"id":24577,"text":"University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":620619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":620620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043902,"text":"70043902 - 2011 - Degradation of the disease-associated prion protein by a serine protease from lichens.","interactions":[],"lastModifiedDate":"2020-08-31T16:54:26.155979","indexId":"70043902","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Degradation of the disease-associated prion protein by a serine protease from lichens.","docAbstract":"<p><span>The disease-associated prion protein (PrP</span><sup>TSE</sup><span>), the probable etiological agent of the transmissible spongiform encephalopathies (TSEs), is resistant to degradation and can persist in the environment. Lichens, mutualistic symbioses containing fungi, algae, bacteria and occasionally cyanobacteria, are ubiquitous in the environment and have evolved unique biological activities allowing their survival in challenging ecological niches. We investigated PrP</span><sup>TSE</sup><span>&nbsp;inactivation by lichens and found acetone extracts of three lichen species (</span><i>Parmelia sulcata</i><span>,&nbsp;</span><i>Cladonia rangiferina</i><span>&nbsp;and&nbsp;</span><i>Lobaria pulmonaria</i><span>) have the ability to degrade prion protein (PrP) from TSE-infected hamsters, mice and deer. Immunoblots measuring PrP levels and protein misfolding cyclic amplification indicated at least two logs of reductions in PrP</span><sup>TSE</sup><span>. Degradative activity was not found in closely related lichen species or in algae or a cyanobacterium that inhabit lichens. Degradation was blocked by Pefabloc SC, a serine protease inhibitor, but not inhibitors of other proteases or enzymes. Additionally, we found that PrP levels in PrP</span><sup>TSE</sup><span>-enriched preps or infected brain homogenates are also reduced following exposure to freshly-collected&nbsp;</span><i>P. sulcata</i><span>&nbsp;or an aqueous extract of the lichen. Our findings indicate that these lichen extracts efficiently degrade PrP</span><sup>TSE</sup><span>&nbsp;and suggest that some lichens could have potential to inactivate TSE infectivity on the landscape or be a source for agents to degrade prions. Further work to clone and characterize the protease, assess its effect on TSE infectivity and determine which organism or organisms present in lichens produce or influence the protease activity is warranted.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0019836","usgsCitation":"Johnson, C.J., Bennett, J.P., Biro, S., Duque-Velasquez, J., Rodriguez, C.M., Bessen, R.A., and Rocke, T.E., 2011, Degradation of the disease-associated prion protein by a serine protease from lichens.: PLoS ONE, v. 6, no. 5, e19836, 12 p., https://doi.org/10.1371/journal.pone.0019836.","productDescription":"e19836, 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040899","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0019836","text":"Publisher Index Page"},{"id":267989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Oregon, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-88.684434,48.115785],[-88.459735,48.183807],[-89.234533,47.851718],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.746521,41.759982],[-86.241446,42.534697],[-86.226305,42.988284],[-86.529507,43.593462],[-86.25395,44.64808],[-85.618639,45.186771],[-85.651435,44.831624],[-85.520443,44.961149],[-85.568781,44.774477],[-85.475748,44.814532],[-85.388593,45.23524],[-84.975357,45.373587],[-85.076284,45.62266],[-84.774014,45.788957],[-83.538306,45.358167],[-83.271464,45.038114],[-83.443718,44.952247],[-83.276137,44.69434],[-83.333757,44.372486],[-83.885328,43.946691],[-83.909479,43.672622],[-83.703446,43.597646],[-83.28231,43.938031],[-82.793205,44.023247],[-82.422768,43.007956],[-82.548169,42.591848],[-82.820118,42.626333],[-83.497733,41.731847],[-83.880387,41.720089]]],[[[-90.418136,46.566094],[-89.228362,46.912751],[-88.207853,47.451208],[-87.816958,47.471998],[-87.715942,47.439816],[-88.281652,47.138239],[-88.462349,46.786711],[-88.194361,46.948578],[-87.776567,46.874293],[-87.259116,46.488283],[-86.850111,46.434114],[-84.964652,46.772845],[-85.015211,46.479712],[-84.193729,46.53992],[-84.106247,46.321963],[-84.249164,46.206461],[-83.873147,45.993426],[-83.615343,46.095976],[-83.517242,45.923614],[-84.647609,46.049704],[-84.820557,45.868293],[-85.499422,46.09692],[-86.22906,45.94857],[-86.616972,45.620581],[-86.717828,45.668106],[-86.555547,45.813499],[-86.981349,45.696463],[-86.988438,45.810621],[-87.986134,44.705936],[-87.924044,44.540991],[-87.017036,45.299254],[-87.726766,43.903297],[-87.900242,42.49302],[-90.640927,42.508302],[-91.069549,42.769628],[-91.21827,43.497228],[-96.453049,43.500415],[-96.452791,45.28428],[-96.857751,45.605962],[-96.593216,45.813873],[-96.562811,46.11625],[-97.217992,48.919735],[-95.153711,48.998903],[-95.153333,49.305655],[-94.957465,49.370186],[-94.690889,48.778066],[-94.500203,48.698175],[-93.709147,48.518029],[-92.984963,48.623731],[-92.627833,48.522167],[-92.712562,48.463013],[-92.378922,48.235782],[-92.055228,48.359213],[-91.542512,48.053268],[-90.925092,48.229897],[-90.761555,48.100133],[-89.489226,48.014528],[-90.86827,47.5569],[-92.086089,46.794339],[-91.781928,46.697604],[-90.871126,46.961129],[-90.760095,46.903296],[-90.920813,46.637432],[-90.418136,46.566094]]],[[[-121.922236,45.649083],[-121.131953,45.609762],[-118.987129,45.999855],[-116.940681,45.996274],[-116.60504,45.781018],[-116.469813,45.620604],[-117.215573,44.453746],[-116.947591,44.191264],[-117.026222,42.000252],[-124.270464,42.045553],[-124.552441,42.840568],[-124.150267,43.91085],[-123.974124,46.168798],[-123.115904,46.185268],[-122.904119,46.083734],[-122.691008,45.624739],[-121.922236,45.649083]]]]},\"properties\":{\"name\":\"Michigan\",\"nation\":\"USA 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S.M.","contributorId":13362,"corporation":false,"usgs":true,"family":"Biro","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":474428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duque-Velasquez, J. C.","contributorId":57683,"corporation":false,"usgs":true,"family":"Duque-Velasquez","given":"J. C.","affiliations":[],"preferred":false,"id":474431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez, Cynthia M.","contributorId":27753,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Cynthia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474427,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bessen, R. A.","contributorId":91611,"corporation":false,"usgs":true,"family":"Bessen","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":474432,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":99257,"text":"ds599 - 2011 - Coal database for Cook Inlet and North Slope, Alaska","interactions":[],"lastModifiedDate":"2012-08-29T01:01:53","indexId":"ds599","displayToPublicDate":"2011-05-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"599","title":"Coal database for Cook Inlet and North Slope, Alaska","docAbstract":"This database is a compilation of published and nonconfidential unpublished coal data from Alaska. Although coal occurs in isolated areas throughout Alaska, this study includes data only from the Cook Inlet and North Slope areas. The data include entries from and interpretations of oil and gas well logs, coal-core geophysical logs (such as density, gamma, and resistivity), seismic shot hole lithology descriptions, measured coal sections, and isolated coal outcrops. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds599","collaboration":"Prepared in cooperation with the Department of Energy, National Energy Technology Laboratory\r\n","usgsCitation":"Stricker, G.D., Spear, B.D., Sprowl, J.M., Dietrich, J.D., McCauley, M.I., and Kinney, S.A., 2011, Coal database for Cook Inlet and North Slope, Alaska: U.S. Geological Survey Data Series 599, v, 11 p., https://doi.org/10.3133/ds599.","productDescription":"v, 11 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116982,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_599.png"},{"id":14673,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/599/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5ddff5","contributors":{"authors":[{"text":"Stricker, Gary D. gstricker@usgs.gov","contributorId":87163,"corporation":false,"usgs":true,"family":"Stricker","given":"Gary","email":"gstricker@usgs.gov","middleInitial":"D.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":307894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Brianne D.","contributorId":15657,"corporation":false,"usgs":true,"family":"Spear","given":"Brianne","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":307891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprowl, Jennifer M.","contributorId":50175,"corporation":false,"usgs":true,"family":"Sprowl","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietrich, John D.","contributorId":53841,"corporation":false,"usgs":true,"family":"Dietrich","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":307893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCauley, Michael I.","contributorId":93941,"corporation":false,"usgs":true,"family":"McCauley","given":"Michael","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":307895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307890,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":99253,"text":"sir20105223 - 2011 - Effects of recreational flow releases on natural resources of the Indian and Hudson Rivers in the Central Adirondack Mountains, New York, 2004-06","interactions":[],"lastModifiedDate":"2015-03-25T13:33:41","indexId":"sir20105223","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5223","title":"Effects of recreational flow releases on natural resources of the Indian and Hudson Rivers in the Central Adirondack Mountains, New York, 2004-06","docAbstract":"<p>The U.S. Geological Survey (USGS), the New York State Department of Environmental Conservation (NYSDEC), and Cornell University carried out a cooperative 2-year study from the fall of 2004 through the fall of 2006 to characterize the potential effects of recreational-flow releases from Lake Abanakee on natural resources in the Indian and Hudson Rivers. Researchers gathered baseline information on hydrology, temperature, habitat, nearshore wetlands, and macroinvertebrate and fish communities and assessed the behavior and thermoregulation of stocked brown trout in study reaches from both rivers and from a control river. The effects of recreational-flow releases (releases) were assessed by comparing data from affected reaches with data from the same reaches during nonrelease days, control reaches in a nearby run-of-the-river system (the Cedar River), and one reach in the Hudson River upstream from the confluence with the Indian River. A streamgage downstream from Lake Abanakee transmitted data by satellite from November 2004 to November 2006; these data were used as the basis for developing a rating curve that was used to estimate discharges for the study period. River habitat at most study reaches was delineated by using Global Positioning System and ArcMap software on a handheld computer, and wetlands were mapped by ground-based measurements of length, width, and areal density. River temperature in the Indian and Hudson Rivers was monitored continuously at eight sites during June through September of 2005 and 2006; temperature was mapped in 2005 by remote imaging made possible through collaboration with the Rochester Institute of Technology. Fish communities at all study reaches were surveyed and characterized through quantitative, nearshore electrofishing surveys. Macroinvertebrate communities in all study reaches were sampled using the traveling-kick method and characterized using standard indices. Radio telemetry was used to track the movement and persistence of stocked brown trout (implanted with temperature-sensitive transmitters) in the Indian and Hudson Rivers during the summer of 2005 and in all three rivers during the summer of 2006. The releases had little effect on river temperatures, but increased discharges by about one order of magnitude. Regardless of the releases, river temperatures at all study sites commonly exceeded the threshold known to be stressful to brown trout. At most sites, mean and median water temperatures on release days were not significantly different, or slightly lower, than water temperatures on nonrelease days. Most differences were very small and, thus, were probably not biologically meaningful. The releases generally increased the total surface area of fast-water habitat (rapids, runs, and riffles) and decreased the total surface area of slow-water habitat (pools, glides, backwater areas, and side channels). The total surface areas of wetlands bordering the Indian River were substantially smaller than the surface areas bordering the Cedar River; however, no channel geomorphology or watershed soil and topographic data were assessed to determine whether the releases or other factors were mainly responsible for observed differences. Results from surveys of resident biota indicate that the releases generally had a limited effect on fish and macroinvertebrate communities in the Indian River and had no effect on communities in the Hudson River. Compared to fish data from Cedar River control sites, the impoundment appeared to reduce total density, biomass, and richness in the Indian River at the first site downstream from Lake Abanakee, moderately reduce the indexes at the other two sites on the Indian River, and slightly reduce the indexes at the first Hudson River site downstream from the confluence with the Indian River. The densities of individual fish populations at all Indian River sites were also reduced, but related effects on fish populations in the Hudson River were less evident. Altho</p>","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105223","collaboration":"Prepared in cooperation with the\r\nNew York State Department of Environmental Conservation","usgsCitation":"Baldigo, B., Mulvihill, C., Ernst, A., and Boisvert, B., 2011, Effects of recreational flow releases on natural resources of the Indian and Hudson Rivers in the Central Adirondack Mountains, New York, 2004-06: U.S. Geological Survey Scientific Investigations Report 2010-5223, xix, 72 p., https://doi.org/10.3133/sir20105223.","productDescription":"xix, 72 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5223.gif"},{"id":14669,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5223/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611998","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulvihill, C.I.","contributorId":17350,"corporation":false,"usgs":true,"family":"Mulvihill","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":307876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ernst, A.G.","contributorId":8973,"corporation":false,"usgs":true,"family":"Ernst","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":307875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boisvert, B.A.","contributorId":79601,"corporation":false,"usgs":true,"family":"Boisvert","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":307878,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99252,"text":"fs20103105 - 2011 - Understanding processes affecting mineral deposits in humid environments","interactions":[],"lastModifiedDate":"2018-10-15T09:05:09","indexId":"fs20103105","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3105","title":"Understanding processes affecting mineral deposits in humid environments","docAbstract":"Recent interdisciplinary studies by the U.S. Geological Survey have resulted in substantial progress toward understanding the influence that climate and hydrology have on the geochemical signatures of mineral deposits and the resulting mine wastes in the eastern United States. Specific areas of focus include the release, transport, and fate of acid, metals, and associated elements from inactive mines in temperate coastal areas and of metals from unmined mineral deposits in tropical to subtropical areas; the influence of climate, geology, and hydrology on remediation options for abandoned mines; and the application of radiogenic isotopes to uniquely apportion source contributions that distinguish natural from mining sources and extent of metal transport.\r\n\r\nThe environmental effects of abandoned mines and unmined mineral deposits result from a complex interaction of a variety of chemical and physical factors. These include the geology of the mineral deposit, the hydrologic setting of the mineral deposit and associated mine wastes, the chemistry of waters interacting with the deposit and associated waste material, the engineering of a mine as it relates to the reactivity of mine wastes, and climate, which affects such factors as temperature and the amounts of precipitation and evapotranspiration; these factors, in turn, influence the environmental behavior of mineral deposits. The role of climate is becoming increasingly important in environmental investigations of mineral deposits because of the growing concerns about climate change. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103105","usgsCitation":"Seal, R., and Ayuso, R.A., 2011, Understanding processes affecting mineral deposits in humid environments: U.S. Geological Survey Fact Sheet 2010-3105, 6 p., https://doi.org/10.3133/fs20103105.","productDescription":"6 p.","additionalOnlineFiles":"N","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":116947,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3105.gif"},{"id":14668,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3105/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dde4b07f02db5e2433","contributors":{"authors":[{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":307873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307874,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173762,"text":"70173762 - 2011 - Common loon nest defense against an American mink","interactions":[],"lastModifiedDate":"2016-06-08T14:26:34","indexId":"70173762","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Common loon nest defense against an American mink","docAbstract":"<p><span>We describe a successful nest defense strategy of an adult </span><i>Gavia immer</i><span> (Common Loon) during an attempted predation event by a </span><i>Nevison vison</i><span> (American Mink) at Umbagog National Wildlife Refuge, NH. It is suspected that mink occasionally depredate loon nests, but defense strategies have not been described previously.</span></p>","language":"English","publisher":"Humboldt Field Research Institute","doi":"10.1656/045.018.0212","usgsCitation":"McCarthy, K.P., and DeStefano, S., 2011, Common loon nest defense against an American mink: Northeastern Naturalist, v. 18, no. 2, p. 247-249, https://doi.org/10.1656/045.018.0212.","productDescription":"3 p.","startPage":"247","endPage":"249","ipdsId":"IP-017803","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575941c6e4b04f417c2567c7","contributors":{"authors":[{"text":"McCarthy, Kyle P.","contributorId":146574,"corporation":false,"usgs":false,"family":"McCarthy","given":"Kyle","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":638078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638074,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99254,"text":"ofr20111109 - 2011 - Avian community responses to juniper woodland structure and thinning treatments on the Colorado Plateau","interactions":[],"lastModifiedDate":"2017-11-25T14:02:27","indexId":"ofr20111109","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1109","title":"Avian community responses to juniper woodland structure and thinning treatments on the Colorado Plateau","docAbstract":"Federal land managers are increasingly implementing fuels-reduction treatments throughout the western United States with objectives of ecological restoration and fire hazard reduction in pinyon-juniper (Pinus spp.-Juniperus  spp.) woodlands. The pinyon-juniper woodland ecosystem complex is highly variable across the western landscape, as is bird community composition. We investigated relations between breeding birds and vegetation characteristics in modified pinyon-juniper woodlands at three sites (BLM, USFS, NPS) on the Colorado Plateau. During the breeding seasons of 2005 and 2006, we surveyed birds and measured vegetation in 74 study plots. These plots were each 3.1 hectares (ha; 7.6 acres), located across the range of natural variation, with 41 control sites and 33 plots in areas previously thinned by hand-cutting or chaining. We found that relations of avian pinyon-juniper specialists and priority species to vegetation characteristics were generally in agreement with the findings of previous studies and known nesting and feeding habits of those birds. Relatively high density of pinyon pines was important to species richness and abundance in 6 of 14 species. Abundance of all species was related to treatment method, and we found no difference in bird communities at chaining and hand-cut sites.\nWe also studied responses of breeding birds to mechanical reduction of pinyon-juniper woodlands scattered across sagebrush steppe in 11 control and 9 treatment plots at Grand Staircase-Escalante National Monument, Utah, in 2005 and 2006. We surveyed birds in 3.1-ha (7.6-acre) plots during the breeding season before and following treatment. Thinning in April 2006 removed a mean of 92 percent (standard error = 6.4 percent) of the live trees from treatment plots. Two of 14 species, Gray Vireo (Vireo vicinior) and Brown-headed Cowbird (Molothrus ater), were not detected after thinning. Shrub-nesting birds, including sagebrush specialist Brewer's Sparrow (Spizella breweri), increased in relative abundance in treatment areas compared to controls. However, some species may exhibit a time lag in response, and further changes in community composition and abundance could result. Our findings lend support to the concept that multiple small-scale fuels-reduction treatments, applied over the landscape, may provide the variety of successional stages needed to support a full assemblage of avian species in pinyon-juniper woodlands on the Colorado Plateau. Limiting scale and increasing precision of fuels-reduction projects in pinyon-juniper vegetation communities may maximize the benefits of management to both the pinyon-juniper and sagebrush steppe avian communities. We conclude that small-scale fuels-reduction treatments can benefit many bird species while reducing fire risk and restoring an ecological balance.","language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111109","collaboration":"In cooperation with The University of Arizona,  School of Natural Resources and the Environment","usgsCitation":"Crow, C., and van Riper, C., 2011, Avian community responses to juniper woodland structure and thinning treatments on the Colorado Plateau: U.S. Geological Survey Open-File Report 2011-1109, v, 32 p., https://doi.org/10.3133/ofr20111109.","productDescription":"v, 32 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":116927,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1109.gif"},{"id":14670,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1109/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db659402","contributors":{"authors":[{"text":"Crow, Claire","contributorId":103778,"corporation":false,"usgs":true,"family":"Crow","given":"Claire","email":"","affiliations":[],"preferred":false,"id":307880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":307879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001495,"text":"ofr20111079 - 2011 - Assessment of soil-gas and soil contamination at the South Prong Creek Disposal Area, Fort Gordon, Georgia, 2009-2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111079","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1079","title":"Assessment of soil-gas and soil contamination at the South Prong Creek Disposal Area, Fort Gordon, Georgia, 2009-2010","docAbstract":"Soil gas and soil were assessed for contaminants at the South Prong Creek Disposal Area at Fort Gordon, Georgia, from October 2009 to September 2010. The assessment included identifying and delineating organic contaminants present in soil-gas and inorganic contaminants present in soil samples collected from the area estimated to be the South Prong Creek Disposal Area, including two seeps and the hyporheic zone. This assessment was conducted to provide environmental contamination data to Fort Gordon personnel pursuant to requirements for the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process. All soil-gas samplers in the two seeps and the hyporheic zone contained total petroleum hydrocarbons above the method detection level. The highest total petroleum hydrocarbon concentration detected from the two seeps was 54.23 micrograms per liter, and the highest concentration in the hyporheic zone was 344.41 micrograms per liter. The soil-gas samplers within the boundary of the South Prong Creek Disposal Area and along the unnamed road contained total petroleum hydrocarbon mass above the method detection level. The highest total petroleum hydrocarbon mass detected was 147.09 micrograms in a soil-gas sampler near the middle of the unnamed road that traverses the South Prong Creek Disposal Area. The highest undecane mass detected was 4.48 micrograms near the location of the highest total petroleum hydrocarbon mass. Some soil-gas samplers detected undecane mass greater than the method detection level of 0.04 micrograms, with the highest detection of toluene mass of 109.72 micrograms in the same location as the highest total petroleum hydrocarbon mass. Soil-gas samplers installed in areas of high contaminant mass had no detections of explosives and chemical agents above their respective method detection levels. Inorganic concentrations in five soil samples did not exceed regional screening levels established by the U.S. Environmental Protection Agency. Barium concentrations, however, were up to four times higher than the background concentrations reported in similar Coastal Plain sediments of South Carolina.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111079","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Caldwell, A.W., Falls, W.F., Guimaraes, W.B., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2011, Assessment of soil-gas and soil contamination at the South Prong Creek Disposal Area, Fort Gordon, Georgia, 2009-2010: U.S. Geological Survey Open-File Report 2011-1079, vi, 34 p. , https://doi.org/10.3133/ofr20111079.","productDescription":"vi, 34 p. ","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":116946,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1079.jpg"},{"id":19866,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1079/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db667ff7","contributors":{"authors":[{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":344633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":344632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":344631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344629,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":9001497,"text":"sir20115038 - 2011 - Monitoring CO2 emissions in tree kill areas near the resurgent dome at Long Valley Caldera, California","interactions":[],"lastModifiedDate":"2022-02-04T22:14:02.419562","indexId":"sir20115038","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5038","displayTitle":"Monitoring CO<sub>2</sub> emissions in tree kill areas near the resurgent dome at Long Valley Caldera, California","title":"Monitoring CO2 emissions in tree kill areas near the resurgent dome at Long Valley Caldera, California","docAbstract":"We report results of yearly measurements of the diffuse CO<sub>2</sub> flux and shallow soil temperatures collected since 2006 across two sets of tree-kill areas at Long Valley Caldera, California. These data provide background information about CO<sub>2</sub> discharge during a period with moderate seismicity, but little to no deformation. The tree kills are located at long-recognized areas of weak thermal fluid upflow, but have expanded in recent years, possibly in response to geothermal fluid production at Casa Diablo. The amount of CO<sub>2</sub> discharged from the older kill area at Basalt Canyon is fairly constant and is around 3-5 tonnes of CO<sub>2</sub> per day from an area of about 15,000 m<sup>2</sup>. The presence of isobutane in gas samples from sites in and around Basalt Canyon suggests that geothermal fluid production directly effects fluid upflow in the region close to the power plant. The average fluxes at Shady Rest are lower than average fluxes at Basalt Canyon, but the area affected by fluid upflow is larger. Total CO<sub>2</sub> discharged from the central portion of the kill area at Shady Rest has been variable, ranging from 6 to11 tonnes per day across 61,000 m<sup>2</sup>. Gas collected at Shady Rest contains no detectable isobutane to link emissions chemically to geothermal fluid production, but two samples from 2009-10 have detectable H<sub>2</sub>S and suggest an increasing geothermal character of emitted gas. The appearance of this gas at the surface may signal increased drawdown of water levels near the geothermal productions wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115038","usgsCitation":"Bergfeld, D., and Evans, W.C., 2011, Monitoring CO2 emissions in tree kill areas near the resurgent dome at Long Valley Caldera, California: U.S. Geological Survey Scientific Investigations Report 2011-5038, iv, 9 p., https://doi.org/10.3133/sir20115038.","productDescription":"iv, 9 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":116928,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5038.gif"},{"id":19867,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5038/","linkFileType":{"id":5,"text":"html"}},{"id":395503,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95189.htm"}],"country":"United States","state":"California","otherGeospatial":"Long Valley caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.9594,\n              37.6378\n            ],\n            [\n              -118.8389,\n              37.6378\n            ],\n            [\n              -118.8389,\n              37.7342\n            ],\n            [\n              -118.9594,\n              37.7342\n            ],\n            [\n              -118.9594,\n              37.6378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db6991ee","contributors":{"authors":[{"text":"Bergfeld, D. dbergfel@usgs.gov","contributorId":2069,"corporation":false,"usgs":true,"family":"Bergfeld","given":"D.","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":344634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":344635,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001493,"text":"ofr20111081 - 2011 - Assessment of soil-gas and soil contamination at the Patterson Anti-Tank Range, Fort Gordon, Georgia, 2009-2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111081","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1081","title":"Assessment of soil-gas and soil contamination at the Patterson Anti-Tank Range, Fort Gordon, Georgia, 2009-2010","docAbstract":"Soil gas and soil were assessed for contaminants at the Patterson Anti-Tank Range at Fort Gordon, Georgia, from October 2009 to September 2010. The assessment included identifying and delineating organic contaminants present in soil-gas samplers from the area estimated to be the Patterson Anti-Tank Range and in the hyporheic zone and floodplain of Brier Creek. This assessment was conducted to provide environmental contamination data to Fort Gordon personnel pursuant to requirements for the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process. Soil-gas samplers in the hyporheic zone and floodplain of Brier Creek contained total petroleum hydrocarbons, benzene, octane, and pentadecane concentrations above method detection levels. All soil-gas samplers within the boundary of the Patterson Anti-Tank Range contained total petroleum hydrocarbons above the method detection level. The highest total petroleum hydrocarbon mass detected was 147.09 micrograms in a soil-gas sampler located near the middle of the site and near the remnants of a manmade earthen mound and trench. The highest toluene mass detected was 1.04 micrograms and was located in the center of the Patterson Anti-Tank Range and coincides with a manmade earthen mound. Some soil-gas samplers installed detected undecane masses greater than the method detection level of 0.04 microgram, with the highest detection of soil-gas undecane mass of 58.64 micrograms collected along the southern boundary of the site. Some soil-gas samplers were installed in areas of high-contaminant mass to assess for explosives and chemical agents. Explosives or chemical agents were not detected above their respective method detection levels for all soil-gas samplers installed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111081","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Caldwell, A.W., Falls, W.F., Guimaraes, W.B., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2011, Assessment of soil-gas and soil contamination at the Patterson Anti-Tank Range, Fort Gordon, Georgia, 2009-2010: U.S. Geological Survey Open-File Report 2011-1081, vi, 40 p., https://doi.org/10.3133/ofr20111081.","productDescription":"vi, 40 p.","additionalOnlineFiles":"N","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":116944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1081.jpg"},{"id":19275,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1081/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9fe4b07f02db660ff6","contributors":{"authors":[{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":344621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":344620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":344619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344617,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":9001494,"text":"ofr20111107 - 2011 - Seasonal distribution and aerial surveys of mountain goats in Mount Rainier, North Cascades, and Olympic National Parks, Washington","interactions":[],"lastModifiedDate":"2017-12-11T11:15:12","indexId":"ofr20111107","displayToPublicDate":"2011-05-10T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1107","title":"Seasonal distribution and aerial surveys of mountain goats in Mount Rainier, North Cascades, and Olympic National Parks, Washington","docAbstract":"<p>We described the seasonal distribution of Geographic Positioning System (GPS)-collared mountain goats (Oreamnos americanus) in Mount Rainier, North Cascades, and Olympic National Parks to evaluate aerial survey sampling designs and provide general information for park managers. This work complemented a companion study published elsewhere of aerial detection biases of mountain goat surveys in western Washington. Specific objectives reported here were to determine seasonal and altitudinal movements, home range distributions, and temporal dynamics of mountain goat movements in and out of aerial survey sampling frames established within each park. We captured 25 mountain goats in Mount Rainier (9), North Cascades (5), and Olympic (11) National Parks, and fitted them with GPS-collars programmed to obtain 6-8 locations daily. We obtained location data on 23 mountain goats for a range of 39-751 days from 2003 to 2008. Altitudinal distributions of GPS-collared mountain goats varied individually and seasonally, but median altitudes used by individual goats during winter ranged from 817 to 1,541 meters in Olympic and North Cascades National Parks, and 1,215 to 1,787 meters in Mount Rainier National Park. Median altitudes used by GPS-collared goats during summer ranged from 1,312 to 1,819 meters in Olympic and North Cascades National Parks, and 1,780 to 2,061 meters in Mount Rainier National Park. GPS-collared mountain goats generally moved from low-altitude winter ranges to high-altitude summer ranges between June 11 and June 19 (range April 24-July 3) and from summer to winter ranges between October 26 and November 9 (range September 11-December 23). Seasonal home ranges (95 percent of adaptive kernel utilization distribution) of males and female mountain goats were highly variable, ranging from 1.6 to 37.0 kilometers during summers and 0.7 to 9.5 kilometers during winters. Locations of GPS-collared mountain goats were almost 100 percent within the sampling frame used for mountain goat surveys in Mount Rainier National Park, whereas generally greater than 80 and greater than 60 percent of locations were within sampling units delineated in North Cascades and Olympic National Parks, respectively. Presence of GPS-collared mountain goats within the sampling frame of Olympic National Park varied by diurnal period (midday versus crepuscular), survey season (July versus September), and the interaction of diurnal period and survey season. Aerial surveys conducted in developing a sightability model for mountain goat aerial surveys indicated mean detection probabilities of 0.69, 0.76, and 0.87 in North Cascades, Olympic, and Mount Rainier National Parks, respectively. Higher detection probabilities in Mount Rainier likely reflected larger group sizes and more open habitat conditions than in North Cascades and Olympic National Parks. Use of sightability models will reduce biases of population estimates in each park, but resulting population estimates must still be considered minimum population estimates in Olympic and North Cascades National Parks because the current sampling frames do not encompass those populations completely. Because mountain goats were reliably present within the sampling frame in Mount Rainier National Park, we found no compelling need to adjust mountain goat survey boundaries in that park. Expanding survey coverage in North Cascades and Olympic National Parks to more reliably encompass the altitudinal distribution of mountain goats during summer would enhance population estimation accuracy in the future. Lowering the altitude boundary of mountain goat survey units by as little as 100 meters to 1,425 meters in Olympic National Park would increase mountain goat presence within the survey and reduce variation in counts related to movements of mountain goats outside the survey boundaries.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111107","collaboration":"Prepared in cooperation with the U.S. National Park Service and Washington Department of Fish and Wildlife","usgsCitation":"Jenkins, K., Beirne, K., Happe, P., Hoffman, R., Rice, C., and Schaberl, J., 2011, Seasonal distribution and aerial surveys of mountain goats in Mount Rainier, North Cascades, and Olympic National Parks, Washington: U.S. Geological Survey Open-File Report 2011-1107, vi, 26 p.; Appendices, https://doi.org/10.3133/ofr20111107.","productDescription":"vi, 26 p.; Appendices","numberOfPages":"56","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":116945,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1107.jpg"},{"id":19865,"rank":200,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1107","linkFileType":{"id":5,"text":"html"}},{"id":298139,"rank":201,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1107/pdf/ofr20111107.pdf","text":"Report","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e5b","contributors":{"authors":[{"text":"Jenkins, Kurt","contributorId":30681,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":344622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beirne, Katherine","contributorId":58754,"corporation":false,"usgs":true,"family":"Beirne","given":"Katherine","affiliations":[],"preferred":false,"id":344624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Happe, Patricia","contributorId":83248,"corporation":false,"usgs":true,"family":"Happe","given":"Patricia","affiliations":[],"preferred":false,"id":344625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, Roger","contributorId":102192,"corporation":false,"usgs":true,"family":"Hoffman","given":"Roger","affiliations":[],"preferred":false,"id":344627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Cliff","contributorId":99272,"corporation":false,"usgs":true,"family":"Rice","given":"Cliff","affiliations":[],"preferred":false,"id":344626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaberl, Jim","contributorId":49093,"corporation":false,"usgs":true,"family":"Schaberl","given":"Jim","email":"","affiliations":[],"preferred":false,"id":344623,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}