{"pageNumber":"683","pageRowStart":"17050","pageSize":"25","recordCount":46666,"records":[{"id":70034078,"text":"70034078 - 2011 - Ground deformation monitoring using small baseline DInSAR technique: A case study in Taiyuan City from 2003 to 2009","interactions":[],"lastModifiedDate":"2017-04-06T13:46:25","indexId":"70034078","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1234,"text":"Chinese Journal of Geophysics (Acta Geophysica Sinica)","active":true,"publicationSubtype":{"id":10}},"title":"Ground deformation monitoring using small baseline DInSAR technique: A case study in Taiyuan City from 2003 to 2009","docAbstract":"DInSAR technique based on time series of SAR images has been very popular to monitor ground stow deformation in recent years such as permanent scatterers (PS) method small baseline subsets (SBAS) method and coherent targets (CT) method. By taking advantage of PS method and CT method in this paper small baseline DTnSAR technique is used to investigate the ground deformation of Taiyuan City Shanxi Province from 2003 to 2009 by using 23 ENVISAT ASAR images. The experiment results demonstrate that: (1) during this period four significant subsidence centers have been developed in Taiyuan namely Xiayuan Wujiabu Xiaodian Sunjiazhai. The largest subsidence center is Sunjiazhai with an average subsidence rate of -77. 28 mm/a; (2) The subsidence of the old center Wanbolin has sHowed down. And the subsidence in the northern region has stopped and some areas even rebounded. (3) The change of subsidence centers indicates that the control measures of \"closing wells and reducing exploitation\" taken by the Taiyuan government has achieved initial effects. (4) The experiment results have been validated with leveling data and the acouracy is 2. 90 mm which shows that the small baseline DInSAR technique can be used to monitor urban ground deformation.","language":"Chinese","doi":"10.3969/j.issn.0001-5733.2011.03.006","issn":"00015733","usgsCitation":"Wu, H., Zhang, Y., Chen, X., Lu, T., Du, J., Sun, Z., and Sun, G., 2011, Ground deformation monitoring using small baseline DInSAR technique: A case study in Taiyuan City from 2003 to 2009: Chinese Journal of Geophysics (Acta Geophysica Sinica), v. 54, no. 3, p. 673-680, https://doi.org/10.3969/j.issn.0001-5733.2011.03.006.","productDescription":"8 p.","startPage":"673","endPage":"680","numberOfPages":"8","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244419,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216542,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3969/j.issn.0001-5733.2011.03.006"}],"volume":"54","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2a93e4b0c8380cd5b2ad","contributors":{"authors":[{"text":"Wu, H.-A.","contributorId":17850,"corporation":false,"usgs":true,"family":"Wu","given":"H.-A.","email":"","affiliations":[],"preferred":false,"id":443968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Y.-H.","contributorId":99799,"corporation":false,"usgs":true,"family":"Zhang","given":"Y.-H.","email":"","affiliations":[],"preferred":false,"id":443973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, X.-Y.","contributorId":11449,"corporation":false,"usgs":true,"family":"Chen","given":"X.-Y.","email":"","affiliations":[],"preferred":false,"id":443967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, T.","contributorId":20182,"corporation":false,"usgs":true,"family":"Lu","given":"T.","email":"","affiliations":[],"preferred":false,"id":443969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Du, J.","contributorId":40044,"corporation":false,"usgs":true,"family":"Du","given":"J.","email":"","affiliations":[],"preferred":false,"id":443971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sun, Z.-H.","contributorId":52428,"corporation":false,"usgs":true,"family":"Sun","given":"Z.-H.","email":"","affiliations":[],"preferred":false,"id":443972,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sun, G.-T.","contributorId":28829,"corporation":false,"usgs":true,"family":"Sun","given":"G.-T.","email":"","affiliations":[],"preferred":false,"id":443970,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034081,"text":"70034081 - 2011 - Terrestrial sensitivity to abrupt cooling recorded by aeolian activity in northwest Ohio, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034081","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial sensitivity to abrupt cooling recorded by aeolian activity in northwest Ohio, USA","docAbstract":"Optically stimulated luminescence dated sand dunes and Pleistocene beach ridges in northwest Ohio are used to reconstruct landscape modification more than 5000. yr after deglaciation. Four of the OSL ages (13.3-11.1. ka) cluster around the Younger Dryas cold event, five ages (10.8-8.2. ka) cluster around the Preboreal, one young age (0.9-0.7. ka) records more recent aeolian activity, and one age of 15.1-13.1. ka dates a barrier spit in Lake Warren. In northwest Ohio, both landscape instability recorded by aeolian activity and a vegetation response recorded by pollen are coeval with the Younger Dryas. However, the climate conditions during the Preboreal resulting in aeolian activity are not recorded in the available pollen records. From this, we conclude that aeolian dunes and surfaces susceptible to deflation are sensitive to cooler, drier episodes of climate and can complement pollen data. Younger Dryas and Preboreal aged aeolian activity in northwestern Ohio coincides with aeolian records elsewhere in the Great Lakes region east of the prairie-forest ecotone. ?? 2011 University of Washington.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.yqres.2011.01.009","issn":"00335894","usgsCitation":"Campbell, M., Fisher, T., and Goble, R., 2011, Terrestrial sensitivity to abrupt cooling recorded by aeolian activity in northwest Ohio, USA: Quaternary Research, v. 75, no. 3, p. 411-416, https://doi.org/10.1016/j.yqres.2011.01.009.","startPage":"411","endPage":"416","numberOfPages":"6","costCenters":[],"links":[{"id":244452,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216574,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2011.01.009"}],"volume":"75","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"505ba563e4b08c986b3209f6","contributors":{"authors":[{"text":"Campbell, M.C.","contributorId":97348,"corporation":false,"usgs":true,"family":"Campbell","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":443989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, T.G.","contributorId":67754,"corporation":false,"usgs":true,"family":"Fisher","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":443988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goble, R.J.","contributorId":21265,"corporation":false,"usgs":true,"family":"Goble","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":443987,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034084,"text":"70034084 - 2011 - Implementing telemetry on new species in remote areas: Recommendations from a large-scale satellite tracking study of African waterfowl","interactions":[],"lastModifiedDate":"2017-08-26T16:27:13","indexId":"70034084","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2970,"text":"Ostrich","active":true,"publicationSubtype":{"id":10}},"title":"Implementing telemetry on new species in remote areas: Recommendations from a large-scale satellite tracking study of African waterfowl","docAbstract":"We provide recommendations for implementing telemetry studies on waterfowl on the basis of our experience in a tracking study conducted in three countries of sub-Saharan Africa. The aim of the study was to document movements by duck species identified as priority candidates for the potential spread of avian influenza. Our study design included both captive and field test components on four wild duck species (Garganey, Comb Duck, White-faced Duck and Fulvous Duck). We used our location data to evaluate marking success and determine when signal loss occurred. The captive study of eight ducks marked with non-working transmitters in a zoo in Montpellier, France, prior to fieldwork showed no evidence of adverse effects, and the harness design appeared to work well. The field study in Malawi, Nigeria and Mali started in 2007 on 2 February, 6 February and 14 February, and ended on 22 November 2007 (288 d), 20 January 2010 (1 079 d), and 3 November 2008 (628 d), respectively. The field study indicated that 38 of 47 (81%) of the platform transmitter terminals (PTTs) kept transmitting after initial deployment, and the transmitters provided 15 576 locations. Signal loss during the field study was attributed to three main causes: PTT loss, PTT failure and mortality (natural, human-caused and PTT-related). The PTT signal quality varied by geographic region, and interference caused signal loss in the Mediterranean Sea region. We recommend careful attention at the beginning of the study to determine the optimum timing of transmitter deployment and the number of transmitters to be deployed per species. These sample sizes should be calculated by taking into account region-specific causes of signal loss to ensure research objectives are met. These recommendations should be useful for researchers undertaking a satellite tracking program, especially when working in remote areas of Africa where logistics are difficult or with poorly-known species. ?? NISC (Pty) Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ostrich","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2989/00306525.2011.556786","issn":"00306525","usgsCitation":"Cappelle, J., Iverson, S.A., Takekawa, J.Y., Newman, S.H., Dodman, T., and Gaidet, N., 2011, Implementing telemetry on new species in remote areas: Recommendations from a large-scale satellite tracking study of African waterfowl: Ostrich, v. 82, no. 1, p. 17-26, https://doi.org/10.2989/00306525.2011.556786.","startPage":"17","endPage":"26","numberOfPages":"10","costCenters":[],"links":[{"id":244511,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216630,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2989/00306525.2011.556786"}],"volume":"82","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-16","publicationStatus":"PW","scienceBaseUri":"505a3914e4b0c8380cd617c4","contributors":{"authors":[{"text":"Cappelle, J.","contributorId":56774,"corporation":false,"usgs":true,"family":"Cappelle","given":"J.","email":"","affiliations":[],"preferred":false,"id":443997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, S. A.","contributorId":22556,"corporation":false,"usgs":true,"family":"Iverson","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":444000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, S. H.","contributorId":21888,"corporation":false,"usgs":false,"family":"Newman","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":443995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodman, T.","contributorId":59543,"corporation":false,"usgs":true,"family":"Dodman","given":"T.","affiliations":[],"preferred":false,"id":443998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaidet, N.","contributorId":60359,"corporation":false,"usgs":true,"family":"Gaidet","given":"N.","affiliations":[],"preferred":false,"id":443999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034098,"text":"70034098 - 2011 - Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034098","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States","docAbstract":"Invasive species are regularly claimed as the second threat to biodiversity. To apply a relevant response to the potential consequences associated with invasions (e.g., emphasize management efforts to prevent new colonization or to eradicate the species in places where it has already settled), it is essential to understand invasion mechanisms and dynamics. Quantifying and understanding what influences rates of spatial spread is a key research area for invasion theory. In this paper, we develop a model to account for occupancy dynamics of an invasive species. Our model extends existing models to accommodate several elements of invasive processes; we chose the framework of hierarchical modeling to assess site occupancy status during an invasion. First, we explicitly accounted for spatial structure and how distance among sites and position relative to one another affect the invasion spread. In particular, we accounted for the possibility of directional propagation and provided a way of estimating the direction of this possible spread. Second, we considered the influence of local density on site occupancy. Third, we decided to split the colonization process into two subprocesses, initial colonization and recolonization, which may be ground-breaking because these subprocesses may exhibit different relationships with environmental variations (such as density variation) or colonization history (e.g., initial colonization might facilitate further colonization events). Finally, our model incorporates imperfection in detection, which might be a source of substantial bias in estimating population parameters. We focused on the case of the Eurasian Collared-Dove (Streptopelia decaocto) and its invasion of the United States since its introduction in the early 1980s, using data from the North American BBS (Breeding Bird Survey). The Eurasian Collared-Dove is one of the most successful invasive species, at least among terrestrial vertebrates. Our model provided estimation of the spread direction consistent with empirical observations. Site persistence probability exhibits a quadratic response to density. We also succeeded at detecting differences in the relationship between density and initial colonization vs. recolonization probabilities. We provide a map of sites that may be colonized in the future as an example of possible practical application of our work. ?? 2011 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/09-1877.1","issn":"10510761","usgsCitation":"Bled, F., Royle, J., and Cam, E., 2011, Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States: Ecological Applications, v. 21, no. 1, p. 290-302, https://doi.org/10.1890/09-1877.1.","startPage":"290","endPage":"302","numberOfPages":"13","costCenters":[],"links":[{"id":216840,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-1877.1"},{"id":244736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a309ce4b0c8380cd5d7bc","contributors":{"authors":[{"text":"Bled, F.","contributorId":41676,"corporation":false,"usgs":true,"family":"Bled","given":"F.","affiliations":[],"preferred":false,"id":444067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":444068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cam, E.","contributorId":12952,"corporation":false,"usgs":true,"family":"Cam","given":"E.","affiliations":[],"preferred":false,"id":444066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034103,"text":"70034103 - 2011 - Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC)","interactions":[],"lastModifiedDate":"2025-05-14T18:54:35.141578","indexId":"70034103","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC)","docAbstract":"<p><span>Aeromagnetic data belonging to the State Company of Geology and Mining of Iraq (GEOSURV) have been recovered from magnetic tapes and early paper maps. In 1974 a national airborne survey was flown by the French firm Compagnie General de Geophysique (CGG). Following the survey the magnetic data were stored on magnetic tapes within an air conditioned archive run by GEOSURV. In 1990, the power supply to the archive was cut resulting in the present‐day poor condition of the tapes. Frontier Processing Company and the U.S. Geological Survey (USGS) have been able to recover over 99 percent of the original digital data from the CGG tapes. Preliminary reprocessing of the data yielded a total magnetic field anomaly map that reveals fine structures not evident in available published maps. Successful restoration of these comprehensive, high quality digital datasets obviates the need to resurvey the entire country, thereby saving considerable time and money. These data were delivered to GEOSURV in a standard format for further analysis and interpretation. A parallel effort by GETECH concentrated on recovering the legacy gravity data from the original field data sheets archived by IPC (Iraq Petroleum Company). These data have been compiled with more recent GEOSURV sponsored surveys thus allowing for the first time a comprehensive digital and unified national gravity database to be constructed with full principal facts. Figure 1 shows the final aeromagnetic and gravity data coverage of Iraq. The only part of Iraq lacking gravity and aeromagnetic data coverage is the mountainous areas of the Kurdish region of northeastern Iraq. Joint interpretation of the magnetic and gravity data will help guide future geophysical investigations by GEOSURV, whose ultimate aim is to discover economical mineral and energy resources.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3628209","usgsCitation":"Smith, D.V., Drenth, B.J., Fairhead, J., Lei, K., Dark, J., and Al-Bassam, K., 2011, Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC): SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 856-860, https://doi.org/10.1190/1.3628209.","startPage":"856","endPage":"860","numberOfPages":"5","costCenters":[],"links":[{"id":244802,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran, Iraq","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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Center","active":true,"usgs":true}],"preferred":true,"id":444106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairhead, J.D.","contributorId":102714,"corporation":false,"usgs":true,"family":"Fairhead","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":444108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lei, K.","contributorId":19810,"corporation":false,"usgs":true,"family":"Lei","given":"K.","email":"","affiliations":[],"preferred":false,"id":444103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dark, J.A.","contributorId":43599,"corporation":false,"usgs":true,"family":"Dark","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":444105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Al-Bassam, 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,{"id":70034108,"text":"70034108 - 2011 - Sources and physical processes responsible for OH/H2O in the lunar soil as revealed by the Moon Mineralogy Mapper (M3)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:43","indexId":"70034108","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Sources and physical processes responsible for OH/H2O in the lunar soil as revealed by the Moon Mineralogy Mapper (M3)","docAbstract":"Analysis of two absorption features near 3 m in the lunar reflectance spectrum, observed by the orbiting M3 spectrometer and interpreted as being due to OH and H2O, is presented, and the results are used to discuss the processes producing these molecules. This analysis focuses on the dependence of the absorptions on lunar physical properties, including composition, illumination, latitude, and temperature. Solar wind proton-induced hydroxylation is proposed as the creation process, and its products could be a source for other reported types of hydrogen-rich material and water. The irregular and damaged fine-grained lunar soil seems especially adapted for trapping solar wind protons and forming OH owing to abundant dangling oxygen bonds. The M3 data reveal that the strengths of the two absorptions are correlated and widespread, and both are correlated with lunar composition but in different ways. Feldspathic material seems richer in OH. These results seem to rule out water from the lunar interior and cometary infall as major sources. There appear to be correlations of apparent band strengths with time of day and lighting conditions. However, thermal emission from the Moon reduces the apparent strengths of the M3 absorptions, and its removal is not yet completely successful. Further, many of the lunar physical properties are themselves intercorrelated, and so separating these dependencies on the absorptions is difficult, due to the incomplete M3 data set. This process should also operate on other airless silicate surfaces, such as Mercury and Vesta, which will be visited by the Dawn spacecraft in mid-2011. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010JE003711","issn":"01480227","usgsCitation":"McCord, T.B., Taylor, L., Combe, J.#., Kramer, G., Pieters, C., Sunshine, J., and Clark, R.N., 2011, Sources and physical processes responsible for OH/H2O in the lunar soil as revealed by the Moon Mineralogy Mapper (M3): Journal of Geophysical Research E: Planets, v. 116, no. 4, https://doi.org/10.1029/2010JE003711.","costCenters":[],"links":[{"id":475351,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003711","text":"Publisher Index Page"},{"id":244868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216965,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003711"}],"volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-14","publicationStatus":"PW","scienceBaseUri":"505b935be4b08c986b31a454","contributors":{"authors":[{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":444132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, L.A.","contributorId":14160,"corporation":false,"usgs":true,"family":"Taylor","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":444128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Combe, J. #NAME?","contributorId":37982,"corporation":false,"usgs":false,"family":"Combe","given":"J.","email":"","middleInitial":"#NAME?","affiliations":[],"preferred":false,"id":444130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, G.","contributorId":32378,"corporation":false,"usgs":true,"family":"Kramer","given":"G.","email":"","affiliations":[],"preferred":false,"id":444129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":444131,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sunshine, J.M.","contributorId":74591,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":444133,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":444127,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034114,"text":"70034114 - 2011 - Age, genesis, and paleoclimatic interpretation of the Sangamon/Loveland complex in the Lower Mississippi Valley, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034114","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Age, genesis, and paleoclimatic interpretation of the Sangamon/Loveland complex in the Lower Mississippi Valley, USA","docAbstract":"For more than a century, the Sangamon paleosol (the Sangamon) has been an integral part of geologic and pedologic investigations in the central United States, including the Upper Mississippi and Lower Missouri River Valleys. Compositional, pedologic, micromorphologic, stratigraphic, and age data indicate that the prominent reddish paleosol developed in silt-rich deposits of the Lower Mississippi Valley, from southernmost Illinois to northwestern Mississippi, represents multiple periods of soil formation, and is wholly or in part time equivalent to the Sangamon of the central United States. Thermoluminescence data, for localities where the Sangamon developed in loess, indicate that the primary period of loess deposition was from 190 to 130 ka (oxygen isotope stage, OIS6), that loess deposition continued intermittently from 130 to 74 ka (OIS5), and that deposition was wholly or in part coeval with Loveland loess deposition in the central United States. Beryllium-10, chemical, and pedologic data indicate that in the Lower Mississippi Valley: (1) the Sangamon represents a minimum time period of 60-80 k.y.; (2) there were at least two periods of soil formation, ca. 130-90 ka and 74-58 ka (OIS4); and (3) rates of weathering and pedogenesis equaled or exceeded the net loess-accumulation rate until at least 46 ka (OIS3) and resulted in development of a paleosol in the overlying basal Roxana Silt. Along a N-S transect from southern Illinois to western Mississippi, Sangamon macroscopic characteristics as well asthe micro-morphology, chemistry, and mineralogy, suggest a regional paleoclimate during periods of soil formation that: (1) was warm to hot, with a wider range in temperature, precipitation, and evapotranspiration than present; (2) had seasonal to decadal or longer periods of drought; and (3) had down-valley (southward) trends of increasing temperature and precipitation and decreasing seasonality and variation in annualto decadal precipitation. ?? 2011 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/B30208.1","issn":"00167606","usgsCitation":"Markewich, H.W., Wysocki, D., Pavich, M., and Rutledge, E., 2011, Age, genesis, and paleoclimatic interpretation of the Sangamon/Loveland complex in the Lower Mississippi Valley, USA: Geological Society of America Bulletin, v. 123, no. 1-2, p. 21-39, https://doi.org/10.1130/B30208.1.","startPage":"21","endPage":"39","numberOfPages":"19","costCenters":[],"links":[{"id":216603,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30208.1"},{"id":244483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2010-10-08","publicationStatus":"PW","scienceBaseUri":"5059e8f5e4b0c8380cd47fec","contributors":{"authors":[{"text":"Markewich, H. W.","contributorId":31426,"corporation":false,"usgs":true,"family":"Markewich","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":444166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wysocki, D.A.","contributorId":11678,"corporation":false,"usgs":true,"family":"Wysocki","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":444165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavich, M.J.","contributorId":70788,"corporation":false,"usgs":true,"family":"Pavich","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":444168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutledge, E.M.","contributorId":47819,"corporation":false,"usgs":true,"family":"Rutledge","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":444167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034132,"text":"70034132 - 2011 - Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna river basin (India)","interactions":[],"lastModifiedDate":"2018-02-22T16:16:51","indexId":"70034132","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna river basin (India)","docAbstract":"<p>The objective of this study was to investigate the changes in cropland areas as a result of water availability using Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m time-series data and spectral matching techniques (SMTs). The study was conducted in the Krishna River basin in India, a very large river basin with an area of 265 752 km<sup>2</sup><span>&nbsp;</span>(26 575 200 ha), comparing a water-surplus year (2000–2001) and a water-deficit year (2002–2003). The MODIS 250&nbsp;m time-series data and SMTs were found ideal for agricultural cropland change detection over large areas and provided fuzzy classification accuracies of 61–100% for various land‐use classes and 61–81% for the rain-fed and irrigated classes. The most mixing change occurred between rain-fed cropland areas and informally irrigated (e.g. groundwater and small reservoir) areas. Hence separation of these two classes was the most difficult. The MODIS 250 m-derived irrigated cropland areas for the districts were highly correlated with the Indian Bureau of Statistics data, with<span>&nbsp;</span><i>R</i><span>&nbsp;</span><sup>2</sup>-values between 0.82 and 0.86.</p><p>The change in the net area irrigated was modest, with an irrigated area of 8&nbsp;669&nbsp;881 ha during the water-surplus year, as compared with 7&nbsp;718&nbsp;900 ha during the water-deficit year. However, this is quite misleading as most of the major changes occurred in cropping intensity, such as changing from higher intensity to lower intensity (e.g. from double crop to single crop). The changes in cropping intensity of the agricultural cropland areas that took place in the water-deficit year (2002–2003) when compared with the water-surplus year (2000–2001) in the Krishna basin were: (a) 1&nbsp;078&nbsp;564 ha changed from double crop to single crop, (b) 1&nbsp;461&nbsp;177 ha changed from continuous crop to single crop, (c) 704&nbsp;172 ha changed from irrigated single crop to fallow and (d) 1&nbsp;314&nbsp;522 ha changed from minor irrigation (e.g. tanks, small reservoirs) to rain-fed. These are highly significant changes that will have strong impact on food security. Such changes may be expected all over the world in a changing climate.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161003749485","issn":"01431161","usgsCitation":"Gumma, M., Thenkabail, P.S., Muralikrishna, I., Velpuri, N.M., Gangadhararao, P., Dheeravath, V., Biradar, C., Nalan, S., and Gaur, A., 2011, Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna river basin (India): International Journal of Remote Sensing, v. 32, no. 12, p. 3495-3520, https://doi.org/10.1080/01431161003749485.","productDescription":"26 p.","startPage":"3495","endPage":"3520","numberOfPages":"26","costCenters":[],"links":[{"id":216904,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161003749485"},{"id":244805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-06-28","publicationStatus":"PW","scienceBaseUri":"5059f409e4b0c8380cd4bad7","contributors":{"authors":[{"text":"Gumma, Murali Krishna","contributorId":50426,"corporation":false,"usgs":true,"family":"Gumma","given":"Murali Krishna","affiliations":[],"preferred":false,"id":444246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":444252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muralikrishna, I.V.","contributorId":31234,"corporation":false,"usgs":true,"family":"Muralikrishna","given":"I.V.","email":"","affiliations":[],"preferred":false,"id":444248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":4441,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":444251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gangadhararao, P.T.","contributorId":19406,"corporation":false,"usgs":true,"family":"Gangadhararao","given":"P.T.","email":"","affiliations":[],"preferred":false,"id":444247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":444250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Biradar, C.M.","contributorId":35563,"corporation":false,"usgs":true,"family":"Biradar","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":444249,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nalan, S.A.","contributorId":7110,"corporation":false,"usgs":true,"family":"Nalan","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":444245,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gaur, A.","contributorId":74603,"corporation":false,"usgs":true,"family":"Gaur","given":"A.","email":"","affiliations":[],"preferred":false,"id":444253,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034138,"text":"70034138 - 2011 - Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:50","indexId":"70034138","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data","docAbstract":"Maps of irrigated areas are essential for Ghana's agricultural development. The goal of this research was to map irrigated agricultural areas and explain methods and protocols using remote sensing. Landsat Enhanced Thematic Mapper (ETM+) data and time-series Moderate Resolution Imaging Spectroradiometer (MODIS) data were used to map irrigated agricultural areas as well as other land use/land cover (LULC) classes, for Ghana. Temporal variations in the normalized difference vegetation index (NDVI) pattern obtained in the LULC class were used to identify irrigated and non-irrigated areas. First, the temporal variations in NDVI pattern were found to be more consistent in long-duration irrigated crops than with short-duration rainfed crops due to more assured water supply for irrigated areas. Second, surface water availability for irrigated areas is dependent on shallow dug-wells (on river banks) and dug-outs (in river bottoms) that affect the timing of crop sowing and growth stages, which was in turn reflected in the seasonal NDVI pattern. A decision tree approach using Landsat 30 m one time data fusion with MODIS 250 m time-series data was adopted to classify, group, and label classes. Finally, classes were tested and verified using ground truth data and national statistics. Fuzzy classification accuracy assessment for the irrigated classes varied between 67 and 93%. An irrigated area derived from remote sensing (32,421 ha) was 20-57% higher than irrigated areas reported by Ghana's Irrigation Development Authority (GIDA). This was because of the uncertainties involved in factors such as: (a) absence of shallow irrigated area statistics in GIDA statistics, (b) non-clarity in the irrigated areas in its use, under-development, and potential for development in GIDA statistics, (c) errors of omissions and commissions in the remote sensing approach, and (d) comparison involving widely varying data types, methods, and approaches used in determining irrigated area statistics using GIDA and remote sensing. Extensive field campaigns to help in better classification and validation of irrigated areas using high (30 m ) to very high (<5 m) resolution remote sensing data that are fused with multi temporal data like MODIS are the way forward. This is especially true in accounting for small yet contiguous patches of irrigated areas from dug-wells and dug-outs. ?? 2011 by the authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3390/rs3040816","issn":"20724292","usgsCitation":"Gumma, M., Thenkabail, P., Hideto, F., Nelson, A., Dheeravath, V., Busia, D., and Rala, A., 2011, Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data: Remote Sensing, v. 3, no. 4, p. 816-835, https://doi.org/10.3390/rs3040816.","startPage":"816","endPage":"835","numberOfPages":"20","costCenters":[],"links":[{"id":475249,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs3040816","text":"Publisher Index Page"},{"id":216515,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs3040816"},{"id":244392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-15","publicationStatus":"PW","scienceBaseUri":"505a505de4b0c8380cd6b64a","contributors":{"authors":[{"text":"Gumma, M.K.","contributorId":12286,"corporation":false,"usgs":true,"family":"Gumma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":444275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, P.S.","contributorId":66071,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":444281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hideto, F.","contributorId":37567,"corporation":false,"usgs":true,"family":"Hideto","given":"F.","email":"","affiliations":[],"preferred":false,"id":444276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, A.","contributorId":50343,"corporation":false,"usgs":true,"family":"Nelson","given":"A.","affiliations":[],"preferred":false,"id":444277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":444278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Busia, D.","contributorId":60471,"corporation":false,"usgs":true,"family":"Busia","given":"D.","email":"","affiliations":[],"preferred":false,"id":444280,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rala, A.","contributorId":58119,"corporation":false,"usgs":true,"family":"Rala","given":"A.","email":"","affiliations":[],"preferred":false,"id":444279,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034164,"text":"70034164 - 2011 - Abundance, stock origin, and length of marked and unmarked juvenile Chinook salmon in the surface waters of greater Puget Sound","interactions":[],"lastModifiedDate":"2020-09-11T15:28:29.780202","indexId":"70034164","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Abundance, stock origin, and length of marked and unmarked juvenile Chinook salmon in the surface waters of greater Puget Sound","docAbstract":"<p><span>This study focuses on the use by juvenile Chinook salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span>&nbsp;of the rarely studied neritic environment (surface waters overlaying the sublittoral zone) in greater Puget Sound. Juvenile Chinook salmon inhabit the sound from their late estuarine residence and early marine transition to their first year at sea. We measured the density, origin, and size of marked (known hatchery) and unmarked (majority naturally spawned) juveniles by means of monthly surface trawls at six river mouth estuaries in Puget Sound and the areas in between. Juvenile Chinook salmon were present in all months sampled (April–November). Unmarked fish in the northern portion of the study area showed broader seasonal distributions of density than did either marked fish in all areas or unmarked fish in the central and southern portions of the sound. Despite these temporal differences, the densities of marked fish appeared to drive most of the total density estimates across space and time. Genetic analysis and coded wire tag data provided us with documented individuals from at least 16 source populations and indicated that movement patterns and apparent residence time were, in part, a function of natal location and time passed since the release of these fish from hatcheries. Unmarked fish tended to be smaller than marked fish and had broader length frequency distributions. The lengths of unmarked fish were negatively related to the density of both marked and unmarked Chinook salmon, but those of marked fish were not. These results indicate more extensive use of estuarine environments by wild than by hatchery juvenile Chinook salmon as well as differential use (e.g., rearing and migration) of various geographic regions of greater Puget Sound by juvenile Chinook salmon in general. In addition, the results for hatchery‐generated timing, density, and length differences have implications for the biological interactions between hatchery and wild fish throughout Puget Sound.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2010.550253","usgsCitation":"Rice, C.A., Greene, C., Moran, P., Teel, D., Kuligowski, D., Reisenbichler, R.R., Beamer, E., Karr, J., and Fresh, K., 2011, Abundance, stock origin, and length of marked and unmarked juvenile Chinook salmon in the surface waters of greater Puget Sound: Transactions of the American Fisheries Society, v. 140, no. 1, p. 170-189, https://doi.org/10.1080/00028487.2010.550253.","startPage":"170","endPage":"189","numberOfPages":"20","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":244772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378341,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://afspubs.onlinelibrary.wiley.com/doi/10.1080/00028487.2010.550253"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.17321777343749,\n              46.99524110694593\n            ],\n            [\n              -122.1514892578125,\n              46.99524110694593\n            ],\n            [\n              -122.1514892578125,\n              48.93693495409401\n            ],\n            [\n              -123.17321777343749,\n              48.93693495409401\n            ],\n            [\n              -123.17321777343749,\n              46.99524110694593\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"140","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-07","publicationStatus":"PW","scienceBaseUri":"5059e660e4b0c8380cd47399","contributors":{"authors":[{"text":"Rice, C. A.","contributorId":106116,"corporation":false,"usgs":true,"family":"Rice","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":444390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, C.M.","contributorId":50012,"corporation":false,"usgs":true,"family":"Greene","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":444383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, P.","contributorId":34746,"corporation":false,"usgs":true,"family":"Moran","given":"P.","email":"","affiliations":[],"preferred":false,"id":444382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teel, D.J.","contributorId":71800,"corporation":false,"usgs":true,"family":"Teel","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":444385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuligowski, D.R.","contributorId":82950,"corporation":false,"usgs":true,"family":"Kuligowski","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":444388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reisenbichler, Reginald R.","contributorId":20623,"corporation":false,"usgs":true,"family":"Reisenbichler","given":"Reginald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":444387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beamer, E.M.","contributorId":55241,"corporation":false,"usgs":true,"family":"Beamer","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":444384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karr, J.R.","contributorId":74091,"corporation":false,"usgs":true,"family":"Karr","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":444386,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fresh, K.L.","contributorId":105916,"corporation":false,"usgs":true,"family":"Fresh","given":"K.L.","affiliations":[],"preferred":false,"id":444389,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034168,"text":"70034168 - 2011 - Users as essential contributors to spatial cyberinfrastructures","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034168","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Users as essential contributors to spatial cyberinfrastructures","docAbstract":"Current accounts of spatial cyberinfrastructure development tend to overemphasize technologies to the neglect of critical social and cultural issues on which adoption depends. Spatial cyberinfrastructures will have a higher chance of success if users of many types, including nonprofessionals, are made central to the development process. Recent studies in the history of infrastructures reveal key turning points and issues that should be considered in the development of spatial cyberinfrastructure projects. These studies highlight the importance of adopting qualitative research methods to learn how users work with data and digital tools, and how user communities form. The author's empirical research on data sharing networks in the Pacific Northwest salmon crisis at the turn of the 21st century demonstrates that ordinary citizens can contribute critical local knowledge to global databases and should be considered in the design and construction of spatial cyberinfrastructures.","largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","language":"English","doi":"10.1073/pnas.0907677108","issn":"00278424","usgsCitation":"Poore, B., 2011, Users as essential contributors to spatial cyberinfrastructures, <i>in</i> Proceedings of the National Academy of Sciences of the United States of America, v. 108, no. 14, p. 5510-5515, https://doi.org/10.1073/pnas.0907677108.","startPage":"5510","endPage":"5515","numberOfPages":"6","costCenters":[],"links":[{"id":475353,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.0907677108","text":"External Repository"},{"id":216938,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.0907677108"},{"id":244840,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505bbffae4b08c986b329e73","contributors":{"authors":[{"text":"Poore, B.S.","contributorId":102249,"corporation":false,"usgs":true,"family":"Poore","given":"B.S.","email":"","affiliations":[],"preferred":false,"id":444402,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034170,"text":"70034170 - 2011 - High-frequency filtering of strong-motion records","interactions":[],"lastModifiedDate":"2013-03-05T11:35:55","indexId":"70034170","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1101,"text":"Bulletin of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency filtering of strong-motion records","docAbstract":"The influence of noise in strong-motion records is most problematic at low and high frequencies where the signal to noise ratio is commonly low compared to that in the mid-spectrum. The impact of low-frequency noise (<1 Hz) on strong-motion intensity parameters such as ground velocities, displacements and response spectral ordinates can be dramatic and consequentially it has become standard practice to low-cut (high-pass) filter strong-motion data with corner frequencies often chosen based on the shape of Fourier amplitude spectra and the signal-to-noise ratio. It has been shown that response spectral ordinates should not be used beyond some fraction of the corner period (reciprocal of the corner frequency) of the low-cut filter. This article examines the effect of high-frequency noise (>5 Hz) on computed pseudo-absolute response spectral accelerations (PSAs). In contrast to the case of low-frequency noise our analysis shows that filtering to remove high-frequency noise is only necessary in certain situations and that PSAs can often be used up to 100 Hz even if much lower high-cut corner frequencies are required to remove the noise. This apparent contradiction can be explained by the fact that PSAs are often controlled by ground accelerations associated with much lower frequencies than the natural frequency of the oscillator because path and site attenuation (often modelled by Q and κ, respectively) have removed the highest frequencies. We demonstrate that if high-cut filters are to be used, then their corner frequencies should be selected on an individual basis, as has been done in a few recent studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10518-010-9208-4","issn":"1570761X","usgsCitation":"Douglas, J., and Boore, D., 2011, High-frequency filtering of strong-motion records: Bulletin of Earthquake Engineering, v. 9, no. 2, p. 395-409, https://doi.org/10.1007/s10518-010-9208-4.","productDescription":"15 p.","startPage":"395","endPage":"409","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487174,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://brgm.hal.science/hal-00567837","text":"External Repository"},{"id":216968,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10518-010-9208-4"},{"id":244871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-09-16","publicationStatus":"PW","scienceBaseUri":"505a30e9e4b0c8380cd5da66","contributors":{"authors":[{"text":"Douglas, J.","contributorId":27811,"corporation":false,"usgs":true,"family":"Douglas","given":"J.","email":"","affiliations":[],"preferred":false,"id":444409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":444410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034201,"text":"70034201 - 2011 - Geochemical and isotopic study of soils and waters from an Italian contaminated site: Agro Aversano (Campania)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034201","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical and isotopic study of soils and waters from an Italian contaminated site: Agro Aversano (Campania)","docAbstract":"Lead isotope applications have been widely used in recent years in environmental studies conducted on different kinds of sampled media. In the present paper, Pb isotope ratios have been used to determine the sources of metal pollution in soils and waters in the Agro Aversano area. During three different sampling phases, a total of 113 surface soils (5-20. cm), 20 samples from 2 soil profiles (0-1. m), 11 stream waters and 4 groundwaters were collected. Major element concentrations in sampled media have been analyzed by the ICP-MS technique. Surface soils (20 samples), all soil profiles and all waters have been also analyzed for Pb isotope compositions by thermal ionization (TIMS). The geochemical data were assessed using statistic methods and cartographically elaborated in order to have a clear picture of the level of disturbance of the area. Pb isotopic data were studied to discriminate between anthropogenic and geologic sources. Our results show that As (5.6-25.6. mg/kg), Cu (9-677. mg/kg), Pb (22-193. mg/kg), Tl (0.53-3.62. mg/kg), V (26-142. mg/kg) and Zn (34-215. mg//kg) contents in analyzed soils, exceed the intervention limits fixed by the Italian Environmental Law for residential areas in some of the sampled sites, while intervention limit for industrial areas is exceeded only for Cu concentrations. Lead isotopic data, show that there is a high similarity between the ratios measured in the leached soil samples and those deriving from anthropic activities. This similarity with anthropogenic Pb is also evident in the ratios measured in both groundwater and stream water samples. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geochemical Exploration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gexplo.2010.09.013","issn":"03756742","usgsCitation":"Bove, M., Ayuso, R., de Vivo, B., Lima, A., and Albanese, S., 2011, Geochemical and isotopic study of soils and waters from an Italian contaminated site: Agro Aversano (Campania): Journal of Geochemical Exploration, v. 109, no. 1-3, p. 38-50, https://doi.org/10.1016/j.gexplo.2010.09.013.","startPage":"38","endPage":"50","numberOfPages":"13","costCenters":[],"links":[{"id":244809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216908,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gexplo.2010.09.013"}],"volume":"109","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a15d8e4b0c8380cd54f74","contributors":{"authors":[{"text":"Bove, M.A.","contributorId":49211,"corporation":false,"usgs":true,"family":"Bove","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":444574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayuso, R. A. 0000-0002-8496-9534","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":27079,"corporation":false,"usgs":true,"family":"Ayuso","given":"R. A.","affiliations":[],"preferred":false,"id":444572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Vivo, B.","contributorId":50549,"corporation":false,"usgs":false,"family":"de Vivo","given":"B.","affiliations":[],"preferred":false,"id":444575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lima, A.","contributorId":74884,"corporation":false,"usgs":true,"family":"Lima","given":"A.","affiliations":[],"preferred":false,"id":444576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albanese, S.","contributorId":35972,"corporation":false,"usgs":true,"family":"Albanese","given":"S.","affiliations":[],"preferred":false,"id":444573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034203,"text":"70034203 - 2011 - A comparison of recharge rates in aquifers of the United States based on groundwater-age data","interactions":[],"lastModifiedDate":"2020-01-28T08:40:59","indexId":"70034203","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of recharge rates in aquifers of the United States based on groundwater-age data","docAbstract":"An overview is presented of existing groundwater-age data and their implications for assessing rates and timescales of recharge in selected unconfined aquifer systems of the United States. Apparent age distributions in aquifers determined from chlorofluorocarbon, sulfur hexafluoride, tritium/helium-3, and radiocarbon measurements from 565 wells in 45 networks were used to calculate groundwater recharge rates. Timescales of recharge were defined by 1,873 distributed tritium measurements and 102 radiocarbon measurements from 27 well networks. Recharge rates ranged from < 10 to 1,200 mm/yr in selected aquifers on the basis of measured vertical age distributions and assuming exponential age gradients. On a regional basis, recharge rates based on tracers of young groundwater exhibited a significant inverse correlation with mean annual air temperature and a significant positive correlation with mean annual precipitation. Comparison of recharge derived from groundwater ages with recharge derived from stream base-flow evaluation showed similar overall patterns but substantial local differences. Results from this compilation demonstrate that age-based recharge estimates can provide useful insights into spatial and temporal variability in recharge at a national scale and factors controlling that variability. Local age-based recharge estimates provide empirical data and process information that are needed for testing and improving more spatially complete model-based methods.","language":"English","publisher":"Springer","doi":"10.1007/s10040-011-0722-5","issn":"14312174","usgsCitation":"McMahon, P., Plummer, N., Böhlke, J., Shapiro, S., and Hinkle, S., 2011, A comparison of recharge rates in aquifers of the United States based on groundwater-age data: Hydrogeology Journal, v. 19, no. 4, p. 779-800, https://doi.org/10.1007/s10040-011-0722-5.","productDescription":"22 p.","startPage":"779","endPage":"800","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":244842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"19","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-08","publicationStatus":"PW","scienceBaseUri":"5059e371e4b0c8380cd46010","contributors":{"authors":[{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":444579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":444582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Böhlke, J.K. 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":96696,"corporation":false,"usgs":true,"family":"Böhlke","given":"J.K.","affiliations":[],"preferred":false,"id":444583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shapiro, S.D.","contributorId":68492,"corporation":false,"usgs":true,"family":"Shapiro","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":444580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinkle, S.R.","contributorId":74778,"corporation":false,"usgs":true,"family":"Hinkle","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":444581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034221,"text":"70034221 - 2011 - Analysis of passive surface-wave noise in surface microseismic data and its implications","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034221","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of passive surface-wave noise in surface microseismic data and its implications","docAbstract":"Tight gas reservoirs are projected to be a major portion of future energy resources. Because of their low permeability, hydraulic fracturing of these reservoirs is required to improve the permeability and reservoir productivity. Passive seismic monitoring is one of the few tools that can be used to characterize the changes in the reservoir due to hydraulic fracturing. Although the majority of the studies monitoring hydraulic fracturing exploit down hole microseismic data, surface microseismic monitoring is receiving increased attention because it is potentially much less expensive to acquire. Due to a broader receiver aperture and spatial coverage, surface microseismic data may be more advantageous than down hole microseismic data. The effectiveness of this monitoring technique, however, is strongly dependent on the signal-to-noise ratio of the data. Cultural and ambient noise can mask parts of the waveform that carry information about the subsurface, thereby decreasing the effectiveness of surface microseismic analysis in identifying and locating the microseismic events. Hence, time and spatially varying suppression of the surface-wave noise ground roll is a critical step in surface microseismic monitoring. Here, we study a surface passive dataset that was acquired over a Barnett Shale Formation reservoir during two weeks of hydraulic fracturing, in order to characterize and suppress the surface noise in this data. We apply techniques to identify the characteristics of the passive ground roll. Exploiting those characteristics, we can apply effective noise suppression techniques to the passive data. ?? 2011 Society of Exploration Geophysicists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1190/1.3627485","issn":"10523812","usgsCitation":"Forghani-Arani, F., Willis, M., Haines, S., Batzle, M., and Davidson, M., 2011, Analysis of passive surface-wave noise in surface microseismic data and its implications: SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 1493-1498, https://doi.org/10.1190/1.3627485.","startPage":"1493","endPage":"1498","numberOfPages":"6","costCenters":[],"links":[{"id":216695,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3627485"},{"id":244581,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"5059eb25e4b0c8380cd48c55","contributors":{"authors":[{"text":"Forghani-Arani, F.","contributorId":76969,"corporation":false,"usgs":true,"family":"Forghani-Arani","given":"F.","affiliations":[],"preferred":false,"id":444689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willis, M.","contributorId":82910,"corporation":false,"usgs":true,"family":"Willis","given":"M.","email":"","affiliations":[],"preferred":false,"id":444690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, S. 0000-0003-2611-8165","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":13052,"corporation":false,"usgs":true,"family":"Haines","given":"S.","affiliations":[],"preferred":false,"id":444687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batzle, M.","contributorId":107527,"corporation":false,"usgs":true,"family":"Batzle","given":"M.","email":"","affiliations":[],"preferred":false,"id":444691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davidson, M.","contributorId":58868,"corporation":false,"usgs":true,"family":"Davidson","given":"M.","email":"","affiliations":[],"preferred":false,"id":444688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034232,"text":"70034232 - 2011 - Lava tube shatter rings and their correlation with lava flux increases at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2012-12-18T09:39:02","indexId":"70034232","displayToPublicDate":"2011-01-01T00:00:00","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":"Lava tube shatter rings and their correlation with lava flux increases at Kīlauea Volcano, Hawai‘i","docAbstract":"Shatter rings are circular to elliptical volcanic features, typically tens of meters in diameter, which form over active lava tubes. They are typified by an upraised rim of blocky rubble and a central depression. Prior to this study, shatter rings had not been observed forming, and, thus, were interpreted in many ways. This paper describes the process of formation for shatter rings observed at Kīlauea Volcano during November 2005–July 2006. During this period, tilt data, time-lapse images, and field observations showed that episodic tilt changes at the nearby Pu‘u ‘Ō‘ō cone, the shallow magmatic source reservoir, were directly related to fluctuations in the level of lava in the active lava tube, with periods of deflation at Pu‘u ‘Ō‘ō correlating with increases in the level of the lava stream surface. Increases in lava level are interpreted as increases in lava flux, and were coincident with lava breakouts from shatter rings constructed over the lava tube. The repetitive behavior of the lava flux changes, inferred from the nearly continuous tilt oscillations, suggests that shatter rings form from the repeated rise and fall of a portion of a lava tube roof. The locations of shatter rings along the active lava tube suggest that they form where there is an abrupt decrease in flow velocity through the tube, e.g., large increase in tube width, abrupt decrease in tube slope, and (or) sudden change in tube direction. To conserve volume, this necessitates an abrupt increase in lava stream depth and causes over-pressurization of the tube. More than a hundred shatter rings have been identified on volcanoes on Hawai‘i and Maui, and dozens have been reported from basaltic lava fields in Iceland, Australia, Italy, Samoa, and the mainland United States. A quick study of other basaltic lava fields worldwide, using freely available satellite imagery, suggests that they might be even more common than previously thought. If so, this confirms that episodic fluctuation in lava effusion rate is a relatively common process at basaltic volcanoes, and that the presence of shatter rings in prehistoric lava flow fields can be used as evidence that such fluctuations have occurred.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Volcanology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00445-010-0414-3","issn":"02588900","usgsCitation":"Orr, T., 2011, Lava tube shatter rings and their correlation with lava flux increases at Kīlauea Volcano, Hawai‘i: Bulletin of Volcanology, v. 73, no. 3, p. 335-346, https://doi.org/10.1007/s00445-010-0414-3.","productDescription":"12 p.","startPage":"335","endPage":"346","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":216848,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00445-010-0414-3"},{"id":244744,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.056854 ], [ -155.798371,19.550464 ], [ -155.016307,19.550464 ], [ -155.016307,19.056854 ], [ -155.798371,19.056854 ] ] ] } } ] }","volume":"73","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-10-02","publicationStatus":"PW","scienceBaseUri":"505a458fe4b0c8380cd6740a","contributors":{"authors":[{"text":"Orr, T.R.","contributorId":29244,"corporation":false,"usgs":true,"family":"Orr","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":444794,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034235,"text":"70034235 - 2011 - Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","interactions":[],"lastModifiedDate":"2015-07-22T10:07:43","indexId":"70034235","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","docAbstract":"<p><span>Most studies of King Rail (</span><i>Rallus elegans</i><span>) have investigated habitat use during the nesting season, while few comparisons have been made between the nesting and brood-rearing seasons. King Rails were located during the nesting season in Missouri using repeated surveys with call playback, and systematic searches for broods were conducted during the brood-rearing season. King Rail adults were located at twelve points in 2006 and 14 points in 2007, and five King Rail broods were located in each year. Water depth was measured and dominant cover type determined for randomly sampled 5-m plots within used and unused habitats. Logistic regression models were fitted to the data and top models were selected from the candidate set using AIC</span><sub>c</sub><span>. Nesting adults occurred more often in areas dominated by short (&le;1 m) emergent vegetation (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= 0.77 &plusmn; 0.27) and deeper water (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= 0.05 &plusmn; 0.02). Broods occurred more often in areas dominated by short emergent vegetation (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= 1.19 &plusmn; 0.37) and shallow water (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;= -0.17 &plusmn; 0.06), and avoided areas dominated by tall (&gt;1 m) emergent vegetation (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\" alt=\"\" /></span><span>&nbsp;=-1.15 &plusmn; 0.45). A modified catch-curve analysis was used to estimate chick daily survival rates during selected 7-day periods for each year. Daily survival rate ranged from 0.92 &plusmn; 0.008 in late June 2007 to 0.96 &plusmn; 0.005 in late July 2006. Management plans for King Rails should include the different habitat types needed during the nesting and brood-rearing stages.</span></p>","largerWorkTitle":"Waterbirds","language":"English","doi":"10.1675/063.034.0204","issn":"15244695","usgsCitation":"Darrah, A., and Krementz, D., 2011, Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys: Waterbirds, v. 34, no. 2, p. 160-167, https://doi.org/10.1675/063.034.0204.","startPage":"160","endPage":"167","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216880,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.034.0204"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f47e4b0c8380cd5cc46","contributors":{"authors":[{"text":"Darrah, A.J.","contributorId":57691,"corporation":false,"usgs":true,"family":"Darrah","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":444800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, D.G.","contributorId":74332,"corporation":false,"usgs":true,"family":"Krementz","given":"D.G.","affiliations":[],"preferred":false,"id":444801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034238,"text":"70034238 - 2011 - Classifying the hydrologic function of prairie potholes with remote sensing and GIS","interactions":[],"lastModifiedDate":"2017-04-06T13:33:15","indexId":"70034238","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Classifying the hydrologic function of prairie potholes with remote sensing and GIS","docAbstract":"<p><span>A sequence of Landsat TM/ETM+ scenes capturing the substantial surface water variations exhibited by prairie pothole wetlands over a drought to deluge period were analyzed in an attempt to determine the general hydrologic function of individual wetlands (recharge, flow-through, and discharge). Multipixel objects (water bodies) were clustered according to their temporal changes in water extents. We found that wetlands receiving groundwater discharge responded differently over the time period than wetlands that did not. Also, wetlands located within topographically closed discharge basins could be distinguished from discharge basins with overland outlets. Field verification data showed that discharge wetlands with closed basins were most distinct and identifiable with reasonable accuracies (user’s accuracy = 97%, producer’s accuracy = 71%). The classification of other hydrologic function types had lower accuracies reducing the overall accuracy for the four hydrologic function classes to 51%. A simplified classification approach identifying only two hydrologic function classes was 82%. Although this technique has limited success for detecting small wetlands, Landsat-derived multipixel-object clustering can reliably differentiate wetlands receiving groundwater discharge and provides a new approach to quantify wetland dynamics in landscape scale investigations and models.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-011-0146-y","issn":"02775212","usgsCitation":"Rover, J.R., Wright, C., Euliss, N.H., Mushet, D.M., and Wylie, B.K., 2011, Classifying the hydrologic function of prairie potholes with remote sensing and GIS: Wetlands, v. 31, no. 2, p. 319-327, https://doi.org/10.1007/s13157-011-0146-y.","productDescription":"9 p.","startPage":"319","endPage":"327","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":216944,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-011-0146-y"},{"id":244846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-22","publicationStatus":"PW","scienceBaseUri":"5059f632e4b0c8380cd4c5f3","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":444842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, C.K.","contributorId":25780,"corporation":false,"usgs":true,"family":"Wright","given":"C.K.","affiliations":[],"preferred":false,"id":444841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":444843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":444844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":444840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034241,"text":"70034241 - 2011 - Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:51","indexId":"70034241","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions","docAbstract":"Recent paleomagnetic work has highlighted a common and shallow inclination bias in continental redbeds. The Permian and Triassic paleomagnetic records from Laurentia are almost entirely derived from such sedimentary rocks, so a pervasive inclination error will expectedly bias the apparent polar wander path of Laurentia in a significant way. The long-standing discrepancy between the apparent polar wander paths of Laurentia and Gondwana in Permian and Triassic time may be a consequence of such a widespread data-pathology. Here we present new Middle Permian paleomagnetic data from igneous rocks and a contact metamorphosed limestone from cratonic Laurentia. The exclusively reversed Middle Permian magnetization is hosted by low-Ti titanomagnetite and pyrrhotite and yields a paleomagnetic pole at 56.3??S, 302.9??E (A95=3.8, N=6). This pole, which is unaffected by inclination shallowing, suggests that a shallow inclination bias may indeed be present in the Laurentian records. To further consider this hypothesis, we conduct a virtual geomagnetic pole distribution analysis, comparing theoretical expectations of a statistical field model (TK03.GAD) against published data-sets. This exercise provides independent evidence that the Laurentian paleomagnetic data is widely biased, likely because of sedimentary inclination shallowing. We estimate the magnitude of this error from our model results and present and discuss several alternative corrections. ?? 2011 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.tecto.2011.08.016","issn":"00401951","usgsCitation":"Domeier, M., Van Der Voo, R., and Denny, F., 2011, Widespread inclination shallowing in Permian and Triassic paleomagnetic data from Laurentia: Support from new paleomagnetic data from Middle Permian shallow intrusions in southern Illinois (USA) and virtual geomagnetic pole distributions: Tectonophysics, v. 511, no. 1-2, p. 38-52, https://doi.org/10.1016/j.tecto.2011.08.016.","startPage":"38","endPage":"52","numberOfPages":"15","costCenters":[],"links":[{"id":216520,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.tecto.2011.08.016"},{"id":244397,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"511","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd0b2e4b08c986b32efe3","contributors":{"authors":[{"text":"Domeier, M.","contributorId":78170,"corporation":false,"usgs":true,"family":"Domeier","given":"M.","email":"","affiliations":[],"preferred":false,"id":444855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Der Voo, R.","contributorId":61959,"corporation":false,"usgs":true,"family":"Van Der Voo","given":"R.","email":"","affiliations":[],"preferred":false,"id":444854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, F.B.","contributorId":53546,"corporation":false,"usgs":true,"family":"Denny","given":"F.B.","email":"","affiliations":[],"preferred":false,"id":444853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034255,"text":"70034255 - 2011 - Remote sensing of soil moisture using airborne hyperspectral data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034255","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of soil moisture using airborne hyperspectral data","docAbstract":"Landscape assessment of soil moisture is critical to understanding the hydrological cycle at the regional scale and in broad-scale studies of biophysical processes affected by global climate changes in temperature and precipitation. Traditional efforts to measure soil moisture have been principally restricted to in situ measurements, so remote sensing techniques are often employed. Hyperspectral sensors with finer spatial resolution and narrow band widths may offer an alternative to traditional multispectral analysis of soil moisture, particularly in landscapes with high spatial heterogeneity. This preliminary research evaluates the ability of remotely sensed hyperspectral data to quantify soil moisture for the Little River Experimental Watershed (LREW), Georgia. An airborne hyperspectral instrument with a short-wavelength infrared (SWIR) sensor was flown in 2005 and 2007 and the results were correlated to in situ soil moisture values. A significant statistical correlation (R2 value above 0.7 for both sampling dates) for the hyperspectral instrument data and the soil moisture probe data at 5.08 cm (2 inches) was determined. While models for the 20.32 cm (8 inches) and 30.48 cm (12 inches) depths were tested, they were not able to estimate soil moisture to the same degree.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2747/1548-1603.48.4.522","issn":"15481603","usgsCitation":"Finn, M., Lewis, M., Bosch, D., Giraldo, M., Yamamoto, K., Sullivan, D., Kincaid, R., Luna, R., Allam, G., Kvien, C., and Williams, M., 2011, Remote sensing of soil moisture using airborne hyperspectral data: GIScience and Remote Sensing, v. 48, no. 4, p. 522-540, https://doi.org/10.2747/1548-1603.48.4.522.","startPage":"522","endPage":"540","numberOfPages":"19","costCenters":[],"links":[{"id":216731,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.48.4.522"},{"id":244617,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"505aa706e4b0c8380cd851a4","contributors":{"authors":[{"text":"Finn, M.","contributorId":45539,"corporation":false,"usgs":true,"family":"Finn","given":"M.","email":"","affiliations":[],"preferred":false,"id":444926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, M.","contributorId":37395,"corporation":false,"usgs":true,"family":"Lewis","given":"M.","email":"","affiliations":[],"preferred":false,"id":444924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosch, D.","contributorId":83241,"corporation":false,"usgs":true,"family":"Bosch","given":"D.","email":"","affiliations":[],"preferred":false,"id":444929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giraldo, Mario","contributorId":66094,"corporation":false,"usgs":true,"family":"Giraldo","given":"Mario","email":"","affiliations":[],"preferred":false,"id":444928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamamoto, K.","contributorId":103119,"corporation":false,"usgs":true,"family":"Yamamoto","given":"K.","email":"","affiliations":[],"preferred":false,"id":444931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, D.","contributorId":37569,"corporation":false,"usgs":true,"family":"Sullivan","given":"D.","affiliations":[],"preferred":false,"id":444925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincaid, R.","contributorId":30847,"corporation":false,"usgs":true,"family":"Kincaid","given":"R.","email":"","affiliations":[],"preferred":false,"id":444922,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luna, R.","contributorId":46708,"corporation":false,"usgs":true,"family":"Luna","given":"R.","email":"","affiliations":[],"preferred":false,"id":444927,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allam, G.","contributorId":27712,"corporation":false,"usgs":true,"family":"Allam","given":"G.","email":"","affiliations":[],"preferred":false,"id":444921,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kvien, Craig","contributorId":33434,"corporation":false,"usgs":true,"family":"Kvien","given":"Craig","email":"","affiliations":[],"preferred":false,"id":444923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, Murray","contributorId":100499,"corporation":false,"usgs":true,"family":"Williams","given":"Murray","email":"","affiliations":[],"preferred":false,"id":444930,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70037024,"text":"70037024 - 2011 - Predicting carnivore occurrence with noninvasive surveys and occupancy modeling","interactions":[],"lastModifiedDate":"2017-05-18T13:12:41","indexId":"70037024","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting carnivore occurrence with noninvasive surveys and occupancy modeling","docAbstract":"<p><span>Terrestrial carnivores typically have large home ranges and exist at low population densities, thus presenting challenges to wildlife researchers. We employed multiple, noninvasive survey methods&mdash;scat detection dogs, remote cameras, and hair snares&mdash;to collect detection&ndash;nondetection data for elusive American black bears (</span><i class=\"a-plus-plus\">Ursus americanus</i><span>), fishers (</span><i class=\"a-plus-plus\">Martes pennanti)</i><span>, and bobcats (</span><i class=\"a-plus-plus\">Lynx rufus</i><span>) throughout the rugged Vermont landscape. We analyzed these data using occupancy modeling that explicitly incorporated detectability as well as habitat and landscape variables. For black bears, percentage of forested land within 5&nbsp;km of survey sites was an important positive predictor of occupancy, and percentage of human developed land within 5&nbsp;km was a negative predictor. Although the relationship was less clear for bobcats, occupancy appeared positively related to the percentage of both mixed forest and forested wetland habitat within 1&nbsp;km of survey sites. The relationship between specific covariates and fisher occupancy was unclear, with no specific habitat or landscape variables directly related to occupancy. For all species, we used model averaging to predict occurrence across the study area. Receiver operating characteristic (ROC) analyses of our black bear and fisher models suggested that occupancy modeling efforts with data from noninvasive surveys could be useful for carnivore conservation and management, as they provide insights into habitat use at the regional and landscape scale without requiring capture or direct observation of study species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-010-9547-1","issn":"09212973","usgsCitation":"Long, R.A., Donovan, T., MacKay, P., Zielinski, W.J., and Buzas, J.S., 2011, Predicting carnivore occurrence with noninvasive surveys and occupancy modeling: Landscape Ecology, v. 26, no. 3, p. 327-340, https://doi.org/10.1007/s10980-010-9547-1.","productDescription":"14 p.","startPage":"327","endPage":"340","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013148","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":245049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217130,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-010-9547-1"}],"country":"United States","state":"Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.2733154296875,\n              42.744995166137286\n            ],\n            [\n              -72.45483398437499,\n              42.7288567472319\n            ],\n            [\n              -72.55645751953124,\n              42.850799307092515\n            ],\n            [\n              -72.50701904296875,\n              42.96446257387128\n            ],\n            [\n           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A.","contributorId":11732,"corporation":false,"usgs":false,"family":"Long","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":459024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. tdonovan@usgs.gov","contributorId":2653,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese M.","email":"tdonovan@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":459028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKay, Paula","contributorId":37042,"corporation":false,"usgs":false,"family":"MacKay","given":"Paula","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":459026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zielinski, William J.","contributorId":35440,"corporation":false,"usgs":false,"family":"Zielinski","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":459025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buzas, Jeffrey S.","contributorId":86080,"corporation":false,"usgs":false,"family":"Buzas","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":459027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037017,"text":"70037017 - 2011 - The secret to successful solute-transport modeling","interactions":[],"lastModifiedDate":"2020-01-14T10:33:01","indexId":"70037017","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"The secret to successful solute-transport modeling","docAbstract":"Modeling subsurface solute transport is difficult—more so than modeling heads and flows. The classical governing equation does not always adequately represent what we see at the field scale. In such cases, commonly used numerical models are solving the wrong equation. Also, the transport equation is hyperbolic where advection is dominant, and parabolic where hydrodynamic dispersion is dominant. No single numerical method works well for all conditions, and for any given complex field problem, where seepage velocity is highly variable, no one method will be optimal everywhere. Although we normally expect a numerically accurate solution to the governing groundwater-flow equation, errors in concentrations from numerical dispersion and/or oscillations may be large in some cases. The accuracy and efficiency of the numerical solution to the solute-transport equation are more sensitive to the numerical method chosen than for typical groundwater-flow problems. However, numerical errors can be kept within acceptable limits if sufficient computational effort is expended. But impractically long\nsimulation times may promote a tendency to ignore or accept numerical errors. One approach to effective solutetransport modeling is to keep the model relatively simple and use it to test and improve conceptual understanding of the system and the problem at hand. It should not be expected that all concentrations observed in the field can be reproduced. Given a knowledgeable analyst, a reasonable description of a hydrogeologic framework, and the\navailability of solute-concentration data, the secret to successful solute-transport modeling may simply be to lower expectations.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00764.x","issn":"0017467X","usgsCitation":"Konikow, L.F., 2011, The secret to successful solute-transport modeling: Ground Water, v. 49, no. 2, p. 144-159, https://doi.org/10.1111/j.1745-6584.2010.00764.x.","productDescription":"16 p.","startPage":"144","endPage":"159","numberOfPages":"16","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-29","publicationStatus":"PW","scienceBaseUri":"505ba8e3e4b08c986b321f00","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":458985,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036988,"text":"70036988 - 2011 - Geochemical analysis of Atlantic rim water, Carbon County, Wyoming: New applications for characterizing coalbed natural gas reservoirs","interactions":[],"lastModifiedDate":"2020-12-21T13:09:17.614014","indexId":"70036988","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical analysis of Atlantic rim water, Carbon County, Wyoming: New applications for characterizing coalbed natural gas reservoirs","docAbstract":"<p>Coalbed natural gas (CBNG) production typically requires the extraction of large volumes of water from target formations, thereby influencing any associated reservoir systems. We describe isotopic tracers that provide immediate data on the presence or absence of biogenic natural gas and the identify methane-containing reservoirs are hydrologically confined. Isotopes of dissolved inorganic carbon and strontium, along with water quality data, were used to characterize the CBNG reservoirs and hydrogeologic systems of Wyoming’s Atlantic Rim. Water was analyzed from a stream, springs, and CBNG wells.</p><p> Strontium isotopic composition and major ion geochemistry identify two groups of surface water samples. Muddy Creek and Mesaverde Group spring samples are Ca-Mg-SO4–type water with higher 87Sr/86Sr, reflecting relatively young groundwater recharged from precipitation in the Sierra Madre. Groundwaters emitted from the Lewis Shale springs are Na-HCO3–type waters with lower 87Sr/86Sr, reflecting sulfate reduction and more extensive water-rock interaction.</p><p> To distinguish coalbed waters, methanogenically enriched d13CDIC was used from other natural waters. Enriched d13CDIC, between −3.6 and +13.3‰, identified spring water that likely originates from Mesaverde coalbed reservoirs. Strongly positive d13CDIC, between +12.6 and +22.8‰, identified those coalbed reservoirs that are confined, whereas lower d13CDIC, between +0.0 and +9.9‰, identified wells within unconfined reservoir systems</p>","language":"English","publisher":"American Association of Petroleum Geologists","publisherLocation":"Tulsa, OK","doi":"10.1306/06301009190","usgsCitation":"McLaughlin, J., Frost, C., and Sharma, S., 2011, Geochemical analysis of Atlantic rim water, Carbon County, Wyoming: New applications for characterizing coalbed natural gas reservoirs: American Association of Petroleum Geologists Bulletin, v. 95, no. 2, p. 191-217, https://doi.org/10.1306/06301009190.","productDescription":"27 p.","startPage":"191","endPage":"217","numberOfPages":"27","costCenters":[],"links":[{"id":245868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Carbon 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J.F.","contributorId":41683,"corporation":false,"usgs":true,"family":"McLaughlin","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":458871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, C.D.","contributorId":20900,"corporation":false,"usgs":true,"family":"Frost","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":458869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharma, Shruti","contributorId":34088,"corporation":false,"usgs":true,"family":"Sharma","given":"Shruti","email":"","affiliations":[],"preferred":false,"id":458870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036987,"text":"70036987 - 2011 - Successful integration efforts in water quality from the integrated Ocean Observing System Regional Associations and the National Water Quality Monitoring Network","interactions":[],"lastModifiedDate":"2020-12-17T17:09:36.700553","indexId":"70036987","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2678,"text":"Marine Technology Society Journal","active":true,"publicationSubtype":{"id":10}},"title":"Successful integration efforts in water quality from the integrated Ocean Observing System Regional Associations and the National Water Quality Monitoring Network","docAbstract":"<p><span>The Integrated Ocean Observing System (IOOS</span><sup>®</sup><span>) Regional Associations and Interagency Partners hosted a water quality workshop in January 2010 to discuss issues of nutrient enrichment and dissolved oxygen depletion (hypoxia), harmful algal blooms (HABs), and beach water quality. In 2007, the National Water Quality Monitoring Council piloted demonstration projects as part of the National Water Quality Monitoring Network (Network) for U.S. Coastal Waters and their Tributaries in three IOOS Regional Associations, and these projects are ongoing. Examples of integrated science-based solutions to water quality issues of major concern from the IOOS regions and Network demonstration projects are explored in this article. These examples illustrate instances where management decisions have benefited from decision-support tools that make use of interoperable data. Gaps, challenges, and outcomes are identified, and a proposal is made for future work toward a multiregional water quality project for beach water quality.</span></p>","language":"English","publisher":"Ingenta Connect","doi":"10.4031/MTSJ.45.1.3","issn":"00253324","usgsCitation":"Ragsdale, R., Vowinkel, E., Porter, D., Hamilton, P., Morrison, R., Kohut, J., Connell, B., Kelsey, H., and Trowbridge, P., 2011, Successful integration efforts in water quality from the integrated Ocean Observing System Regional Associations and the National Water Quality Monitoring Network: Marine Technology Society Journal, v. 45, no. 1, p. 19-28, https://doi.org/10.4031/MTSJ.45.1.3.","productDescription":"10 p.","startPage":"19","endPage":"28","costCenters":[],"links":[{"id":475200,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4031/mtsj.45.1.3","text":"Publisher Index Page"},{"id":245840,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9da3e4b08c986b31d981","contributors":{"authors":[{"text":"Ragsdale, R.","contributorId":46343,"corporation":false,"usgs":true,"family":"Ragsdale","given":"R.","email":"","affiliations":[],"preferred":false,"id":458865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vowinkel, E.","contributorId":51134,"corporation":false,"usgs":true,"family":"Vowinkel","given":"E.","affiliations":[],"preferred":false,"id":458866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, D.","contributorId":13470,"corporation":false,"usgs":true,"family":"Porter","given":"D.","email":"","affiliations":[],"preferred":false,"id":458861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamilton, P.","contributorId":42034,"corporation":false,"usgs":true,"family":"Hamilton","given":"P.","affiliations":[],"preferred":false,"id":458863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, R.","contributorId":39953,"corporation":false,"usgs":true,"family":"Morrison","given":"R.","affiliations":[],"preferred":false,"id":458862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohut, J.","contributorId":105152,"corporation":false,"usgs":true,"family":"Kohut","given":"J.","affiliations":[],"preferred":false,"id":458868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Connell, B.","contributorId":44013,"corporation":false,"usgs":true,"family":"Connell","given":"B.","email":"","affiliations":[],"preferred":false,"id":458864,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kelsey, H.","contributorId":84556,"corporation":false,"usgs":true,"family":"Kelsey","given":"H.","email":"","affiliations":[],"preferred":false,"id":458867,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trowbridge, P.","contributorId":12296,"corporation":false,"usgs":true,"family":"Trowbridge","given":"P.","email":"","affiliations":[],"preferred":false,"id":458860,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70036958,"text":"70036958 - 2011 - Monitoring carnivore populations at the landscape scale: occupancy modelling of tigers from sign surveys","interactions":[],"lastModifiedDate":"2014-07-29T10:31:46","indexId":"70036958","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring carnivore populations at the landscape scale: occupancy modelling of tigers from sign surveys","docAbstract":"<p>1. Assessing spatial distributions of threatened large carnivores at landscape scales poses formidable challenges because of their rarity and elusiveness. As a consequence of logistical constraints, investigators typically rely on sign surveys. Most survey methods, however, do not explicitly address the central problem of imperfect detections of animal signs in the field, leading to underestimates of true habitat occupancy and distribution.</p>\n<br/>\n<p>2. We assessed habitat occupancy for a tiger <i>Panthera tigris</i> metapopulation across a c. 38 000-km<sup>2</sup> landscape in India, employing a spatially replicated survey to explicitly address imperfect detections. Ecological predictions about tiger presence were confronted with sign detection data generated from occupancy sampling of 205 sites, each of 188 km<sup>2</sup>.</p>\n<br/>\n<p>3. A recent occupancy model that considers Markovian dependency among sign detections on spatial replicates performed better than the standard occupancy model (ΔAIC = 184·9). A formulation of this model that fitted the data best showed that density of ungulate prey and levels of human disturbance were key determinants of local tiger presence. Model averaging resulted in a replicate-level detection probability [inline image] = 0·17 (0·17) for signs and a tiger habitat occupancy estimate of [inline image] = 0·665 (0·0857) or 14 076 (1814) km2 of potential habitat of 21 167 km<sup>2</sup>. In contrast, a traditional presence-versus-absence approach underestimated occupancy by 47%. Maps of probabilities of local site occupancy clearly identified tiger source populations at higher densities and matched observed tiger density variations, suggesting their potential utility for population assessments at landscape scales.</p>\n<br/>\n<p>4. Synthesis and applications. Landscape-scale sign surveys can efficiently assess large carnivore spatial distributions and elucidate the factors governing their local presence, provided ecological and observation processes are both explicitly modelled. Occupancy sampling using spatial replicates can be used to reliably and efficiently identify tiger population sources and help monitor metapopulations. Our results reinforce earlier findings that prey depletion and human disturbance are key drivers of local tiger extinctions and tigers can persist even in human-dominated landscapes through effective protection of source populations. Our approach facilitates efficient targeting of tiger conservation interventions and, more generally, provides a basis for the reliable integration of large carnivore monitoring data between local and landscape scales.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Scientific Publications","publisherLocation":"Oxford, United Kingdom","doi":"10.1111/j.1365-2664.2011.02002.x","issn":"00218901","usgsCitation":"Karanth, K.U., Gopalaswamy, A., Kumar, N.S., Vaidyanathan, S., Nichols, J., and MacKenzie, D.I., 2011, Monitoring carnivore populations at the landscape scale: occupancy modelling of tigers from sign surveys: Journal of Applied Ecology, v. 48, no. 4, p. 1048-1056, https://doi.org/10.1111/j.1365-2664.2011.02002.x.","productDescription":"9 p.","startPage":"1048","endPage":"1056","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475282,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2011.02002.x","text":"Publisher Index Page"},{"id":245807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217835,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2011.02002.x"}],"country":"India","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 72.01,10.83 ], [ 72.01,19.94 ], [ 79.91,19.94 ], [ 79.91,10.83 ], [ 72.01,10.83 ] ] ] } } ] }","volume":"48","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-11","publicationStatus":"PW","scienceBaseUri":"505a5d93e4b0c8380cd70481","contributors":{"authors":[{"text":"Karanth, Kota Ullas","contributorId":42815,"corporation":false,"usgs":true,"family":"Karanth","given":"Kota","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":458667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gopalaswamy, Arjun M.","contributorId":12167,"corporation":false,"usgs":true,"family":"Gopalaswamy","given":"Arjun M.","affiliations":[],"preferred":false,"id":458665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Narayanarao Samba","contributorId":102307,"corporation":false,"usgs":true,"family":"Kumar","given":"Narayanarao","email":"","middleInitial":"Samba","affiliations":[],"preferred":false,"id":458669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaidyanathan, Srinivas","contributorId":15444,"corporation":false,"usgs":true,"family":"Vaidyanathan","given":"Srinivas","email":"","affiliations":[],"preferred":false,"id":458666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":458664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacKenzie, Darryl I.","contributorId":94436,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":458668,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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