{"pageNumber":"1957","pageRowStart":"48900","pageSize":"25","recordCount":184617,"records":[{"id":70033942,"text":"70033942 - 2010 - Testing alternative models of climate-mediated extirpations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033942","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Testing alternative models of climate-mediated extirpations","docAbstract":"Biotic responses to climate change will vary among taxa and across latitudes, elevational gradients, and degrees of insularity. However, due to factors such as phenotypic plasticity, ecotypic variation, and evolved tolerance to thermal stress, it remains poorly understood whether losses should be greatest in populations experiencing the greatest climatic change or living in places where the prevailing climate is closest to the edge of the species' bioclimatic envelope (e.g., at the hottest, driest sites). Research on American pikas (Ochotona princeps) in montane areas of the Great Basin during 1994-1999 suggested that 20th-century population extirpations were predicted by a combination of biogeographic, anthropogenic, and especially climatic factors. Surveys during 2005-2007 documented additional extirpations and within-site shifts of pika distributions at remaining sites. To evaluate the evidence in support of alternative hypotheses involving effects of thermal stress on pikas, we placed temperature sensors at 156 locations within pika habitats in the vicinity of 25 sites with historical records of pikas in the Basin. We related these time series of sensor data to data on ambient temperature from weather stations within the Historical Climate Network. We then used these highly correlated relationships, combined with long-term data from the same weather stations, to hindcast temperatures within pika habitats from 1945 through 2006. To explain patterns of loss, we posited three alternative classes of direct thermal stress: (1) acute cold stress (number of days below a threshold temperature); (2) acute heat stress (number of days above a threshold, temperature); and. (3) chronic heat stress (average summer temperature). Climate change was defined as change in our thermal metrics between two 31-y.r periods: 1945-1975 and 1976-2006. We found that patterns of persistence were well predicted by metrics of climate. Our best models suggest some effects of climate change; however, recent and long-term metrics of chronic heat stress and acute cold stress, neither previously recognized as sources of stress for pikas, were some of the best predictors of pika persistence. Results illustrate that extremely rapid distributional shifts can be explained by climatic influences and have implications for conservation topics such as reintroductions and early-warning indicators. ?? 2010 by the Ecological society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-1011.1","issn":"10510761","usgsCitation":"Beever, E., Chris, R., Mote, P., and Wilkening, J., 2010, Testing alternative models of climate-mediated extirpations: Ecological Applications, v. 20, no. 1, p. 164-178, https://doi.org/10.1890/08-1011.1.","startPage":"164","endPage":"178","numberOfPages":"15","costCenters":[],"links":[{"id":214481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-1011.1"},{"id":242209,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba5bae4b08c986b320c2d","contributors":{"authors":[{"text":"Beever, E.A.","contributorId":80040,"corporation":false,"usgs":true,"family":"Beever","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":443305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chris, R.A.Y.","contributorId":86185,"corporation":false,"usgs":true,"family":"Chris","given":"R.A.Y.","email":"","affiliations":[],"preferred":false,"id":443306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mote, P.W.","contributorId":50743,"corporation":false,"usgs":true,"family":"Mote","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":443303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilkening, J.L.","contributorId":59259,"corporation":false,"usgs":true,"family":"Wilkening","given":"J.L.","affiliations":[],"preferred":false,"id":443304,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034076,"text":"70034076 - 2010 - Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003","interactions":[],"lastModifiedDate":"2012-03-12T17:21:50","indexId":"70034076","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003","docAbstract":"The overarching goal of this research was to develop methods and protocols for mapping irrigated areas using a Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m time series, to generate irrigated area statistics, and to compare these with ground- and census-based statistics. The primary mega-file data-cube (MFDC), comparable to a hyper-spectral data cube, used in this study consisted of 952 bands of data in a single file that were derived from MODIS 500 m, 7-band reflectance data acquired every 8-days during 2001-2003. The methods consisted of (a) segmenting the 952-band MFDC based not only on elevation-precipitation-temperature zones but on major and minor irrigated command area boundaries obtained from India's Central Board of Irrigation and Power (CBIP), (b) developing a large ideal spectral data bank (ISDB) of irrigated areas for India, (c) adopting quantitative spectral matching techniques (SMTs) such as the spectral correlation similarity (SCS) R<sup>2</sup>-value, (d) establishing a comprehensive set of protocols for class identification and labeling, and (e) comparing the results with the National Census data of India and field-plot data gathered during this project for determining accuracies, uncertainties and errors. The study produced irrigated area maps and statistics of India at the national and the subnational (e.g., state, district) levels based on MODIS data from 2001-2003. The Total Area Available for Irrigation (TAAI) and Annualized Irrigated Areas (AIAs) were 113 and 147 million hectares (MHa), respectively. The TAAI does not consider the intensity of irrigation, and its nearest equivalent is the net irrigated areas in the Indian National Statistics. The AIA considers intensity of irrigation and is the equivalent of \"irrigated potential utilized (IPU)\" reported by India's Ministry of Water Resources (MoWR). The field-plot data collected during this project showed that the accuracy of TAAI classes was 88% with a 12% error of omission and 32% of error of commission. Comparisons between the AIA and IPU produced an R<sup>2</sup>-value of 0.84. However, AIA was consistently higher than IPU. The causes for differences were both in traditional approaches and remote sensing. The causes of uncertainties unique to traditional approaches were (a) inadequate accounting of minor irrigation (groundwater, small reservoirs and tanks), (b) unwillingness to share irrigated area statistics by the individual Indian states because of their stakes, (c) absence of comprehensive statistical analyses of reported data, and (d) subjectivity involved in observation-based data collection process. The causes of uncertainties unique to remote sensing approaches were (a) irrigated area fraction estimate and related sub-pixel area computations and (b) resolution of the imagery. The causes of uncertainties common in both traditional and remote sensing approaches were definitions and methodological issues. ?? 2009 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"ISPRS Journal of Photogrammetry and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.isprsjprs.2009.08.004","issn":"09242716","usgsCitation":"Dheeravath, V., Thenkabail, P., Chandrakantha, G., Noojipady, P., Reddy, G., Biradar, C., Gumma, M., and Velpuri, M., 2010, Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003: ISPRS Journal of Photogrammetry and Remote Sensing, v. 65, no. 1, p. 42-59, https://doi.org/10.1016/j.isprsjprs.2009.08.004.","startPage":"42","endPage":"59","numberOfPages":"18","costCenters":[],"links":[{"id":216511,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.isprsjprs.2009.08.004"},{"id":244388,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3f08e4b0c8380cd641f0","contributors":{"authors":[{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":443959,"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":443960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandrakantha, G.","contributorId":39610,"corporation":false,"usgs":true,"family":"Chandrakantha","given":"G.","email":"","affiliations":[],"preferred":false,"id":443957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noojipady, P.","contributorId":42453,"corporation":false,"usgs":true,"family":"Noojipady","given":"P.","affiliations":[],"preferred":false,"id":443958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, G.P.O.","contributorId":14666,"corporation":false,"usgs":true,"family":"Reddy","given":"G.P.O.","email":"","affiliations":[],"preferred":false,"id":443955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biradar, C.M.","contributorId":35563,"corporation":false,"usgs":true,"family":"Biradar","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":443956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gumma, M.K.","contributorId":12286,"corporation":false,"usgs":true,"family":"Gumma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":443954,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Velpuri, M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":7935,"corporation":false,"usgs":true,"family":"Velpuri","given":"M.","affiliations":[],"preferred":false,"id":443953,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034369,"text":"70034369 - 2010 - Carbon dioxide on the satellites of Saturn: Results from the Cassini VIMS investigation and revisions to the VIMS wavelength scale","interactions":[],"lastModifiedDate":"2012-03-12T17:21:52","indexId":"70034369","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide on the satellites of Saturn: Results from the Cassini VIMS investigation and revisions to the VIMS wavelength scale","docAbstract":"Several of the icy satellites of Saturn show the spectroscopic signature of the asymmetric stretching mode of C-O in carbon dioxide (CO<sub>2</sub>) at or near the nominal solid-phase laboratory wavelength of 4.2675 ??m (2343.3 cm<sup>-1</sup>), discovered with the Visible-Infrared Mapping Spectrometer (VIMS) on the Cassini spacecraft. We report here on an analysis of the variation in wavelength and width of the CO<sub>2</sub> absorption band in the spectra of Phoebe, Iapetus, Hyperion, and Dione. Comparisons are made to laboratory spectra of pure CO<sub>2</sub>, CO<sub>2</sub> clathrates, ternary mixtures of CO<sub>2</sub> with other volatiles, implanted and adsorbed CO<sub>2</sub> in non-volatile materials, and ab initio theoretical calculations of CO<sub>2</sub> * nH<sub>2</sub>O. At the wavelength resolution of VIMS, the CO<sub>2</sub> on Phoebe is indistinguishable from pure CO<sub>2</sub> ice (each molecule's nearby neighbors are also CO<sub>2</sub>) or type II clathrate of CO<sub>2</sub> in H<sub>2</sub>O. In contrast, the CO<sub>2</sub> band on Iapetus, Hyperion, and Dione is shifted to shorter wavelengths (typically ???4.255 ??m (???2350.2 cm<sup>-1</sup>)) and broadened. These wavelengths are characteristic of complexes of CO<sub>2</sub> with different near-neighbor molecules that are encountered in other volatile mixtures such as with H<sub>2</sub>O and CH<sub>3</sub>OH, and non-volatile host materials like silicates, some clays, and zeolites. We suggest that Phoebe's CO<sub>2</sub> is native to the body as part of the initial inventory of condensates and now exposed on the surface, while CO<sub>2</sub> on the other three satellites results at least in part from particle or UV irradiation of native H<sub>2</sub>O plus a source of C, implantation or accretion from external sources, or redistribution of native CO<sub>2</sub> from the interior. The analysis presented here depends on an accurate VIMS wavelength scale. In preparation for this work, the baseline wavelength calibration for the Cassini VIMS was found to be distorted around 4.3 ??m, apparently as a consequence of telluric CO<sub>2</sub> gas absorption in the pre-launch calibration. The effect can be reproduced by convolving a sequence of model detector response profiles with a deep atmospheric CO<sub>2</sub> absorption profile, producing distorted detector profile shapes and shifted central positions. In a laboratory blackbody spectrum used for radiance calibration, close examination of the CO<sub>2</sub> absorption profile shows a similar deviation from that expected from a model. These modeled effects appear to be sufficient to explain the distortion in the existing wavelength calibration now in use. A modification to the wavelength calibration for 13 adjacent bands is provided. The affected channels span about 0.2 ??m centered on 4.28 ??m. The maximum wavelength change is about 10 nm toward longer wavelength. This adjustment has implications for interpretation of some of the spectral features observed in the affected wavelength interval, such as from CO<sub>2</sub>, as discussed in this paper.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2009.07.012","issn":"00191035","usgsCitation":"Cruikshank, D.P., Meyer, A., Brown, R.H., Clark, R.N., Jaumann, R., Stephan, K., Hibbitts, C.A., Sandford, S., Mastrapa, R., Filacchione, G., Ore, C., Nicholson, P.D., Buratti, B.J., McCord, T.B., Nelson, R., Dalton, J., Baines, K.H., and Matson, D.L., 2010, Carbon dioxide on the satellites of Saturn: Results from the Cassini VIMS investigation and revisions to the VIMS wavelength scale: Icarus, v. 206, no. 2, p. 561-572, https://doi.org/10.1016/j.icarus.2009.07.012.","startPage":"561","endPage":"572","numberOfPages":"12","costCenters":[],"links":[{"id":216528,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2009.07.012"},{"id":244405,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f361e4b0c8380cd4b778","contributors":{"authors":[{"text":"Cruikshank, D. P.","contributorId":51434,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":445452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, A.W.","contributorId":51473,"corporation":false,"usgs":true,"family":"Meyer","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":445453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":445444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":445460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":445445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hibbitts, C. A.","contributorId":21703,"corporation":false,"usgs":false,"family":"Hibbitts","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sandford, S.A.","contributorId":106300,"corporation":false,"usgs":true,"family":"Sandford","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":445461,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mastrapa, R.M.E.","contributorId":23758,"corporation":false,"usgs":true,"family":"Mastrapa","given":"R.M.E.","email":"","affiliations":[],"preferred":false,"id":445448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Filacchione, G.","contributorId":48740,"corporation":false,"usgs":true,"family":"Filacchione","given":"G.","affiliations":[],"preferred":false,"id":445451,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ore, C.M.D.","contributorId":77388,"corporation":false,"usgs":true,"family":"Ore","given":"C.M.D.","email":"","affiliations":[],"preferred":false,"id":445459,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":445454,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":445456,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":445457,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nelson, R.M.","contributorId":38316,"corporation":false,"usgs":true,"family":"Nelson","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":445450,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Dalton, J.B.","contributorId":77251,"corporation":false,"usgs":true,"family":"Dalton","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":445458,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445449,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Matson, D. L.","contributorId":59940,"corporation":false,"usgs":false,"family":"Matson","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":445455,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70043212,"text":"70043212 - 2010 - Normalized velocity profiles of field-measured turbidity currents","interactions":[],"lastModifiedDate":"2013-03-04T15:32:03","indexId":"70043212","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Normalized velocity profiles of field-measured turbidity currents","docAbstract":"Multiple turbidity currents were recorded in two submarine canyons with maximum speed as high as 280 cm/s. For each individual turbidity current measured at a fixed station, its depth-averaged velocity typically decreased over time while its thickness increased. Some turbidity currents gained in speed as they traveled downcanyon, suggesting a possible self-accelerating process. The measured velocity profiles, first in this high resolution, allowed normalizations with various schemes. Empirical functions, obtained from laboratory experiments whose spatial and time scales are two to three orders of magnitude smaller, were found to represent the field data fairly well. The best similarity collapse of the velocity profiles was achieved when the streamwise velocity and the elevation were normalized respectively by the depth-averaged velocity and the turbidity current thickness. This normalization scheme can be generalized to an empirical function <i>Y</i> = exp(–&alpha;X<sup>&beta;</sup>) for the jet region above the velocity maximum. Confirming theoretical arguments and laboratory results of other studies, the field turbidity currents are Froude-supercritical.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G30582.1","usgsCitation":"Xu, J., 2010, Normalized velocity profiles of field-measured turbidity currents: Geology, v. 38, no. 6, p. 563-566, https://doi.org/10.1130/G30582.1.","productDescription":"4 p.","startPage":"563","endPage":"566","onlineOnly":"N","ipdsId":"IP-015666","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":268724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268723,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30582.1"}],"volume":"38","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5135d08ce4b03b8ec4025b8d","contributors":{"authors":[{"text":"Xu, Jingping jpx@usgs.gov","contributorId":2574,"corporation":false,"usgs":true,"family":"Xu","given":"Jingping","email":"jpx@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":473179,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043220,"text":"70043220 - 2010 - Using the Sonoran and Libyan Desert test sites to monitor the temporal stability of reflective solar bands for Landsat 7 enhanced thematic mapper plus and Terra moderate resolution imaging spectroradiometer sensors","interactions":[],"lastModifiedDate":"2013-05-15T12:29:32","indexId":"70043220","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Using the Sonoran and Libyan Desert test sites to monitor the temporal stability of reflective solar bands for Landsat 7 enhanced thematic mapper plus and Terra moderate resolution imaging spectroradiometer sensors","docAbstract":"Remote sensing imagery is effective for monitoring environmental and climatic changes because of the extent of the global coverage and long time scale of the observations. Radiometric calibration of remote sensing sensors is essential for quantitative & qualitative science and applications. Pseudo-invariant ground targets have been extensively used to monitor the long-term radiometric calibration stability of remote sensing sensors. This paper focuses on the use of the Sonoran Desert site to monitor the radiometric stability of the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. The results are compared with the widely used Libya 4 Desert site in an attempt to evaluate the suitability of the Sonoran Desert site for sensor inter-comparison and calibration stability monitoring. Since the overpass times of ETM+ and MODIS differ by about 30 minutes, the impacts due to different view geometries or test site Bi-directional Reflectance Distribution Function (BRDF) are also presented. In general, the long-term drifts in the visible bands are relatively large compared to the drift in the near-infrared bands of both sensors. The lifetime Top-of-Atmosphere (TOA) reflectance trends from both sensors over 10 years are extremely stable, changing by no more than 0.1% per year (except ETM+ Band 1 and MODIS Band 3) over the two sites used for the study. The use of a semi-empirical BRDF model can reduce the impacts due to view geometries, thus enabling a better estimate of sensor temporal drifts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SPIE Digital Library","doi":"10.1117/1.3424910","usgsCitation":"Angal, A., Xiong, X., Choi, T., Chander, G., and Wu, A., 2010, Using the Sonoran and Libyan Desert test sites to monitor the temporal stability of reflective solar bands for Landsat 7 enhanced thematic mapper plus and Terra moderate resolution imaging spectroradiometer sensors: Journal of Applied Remote Sensing, v. 4, no. 1, 043525, https://doi.org/10.1117/1.3424910.","productDescription":"043525","ipdsId":"IP-016646","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272292,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/1.3424910"}],"country":"United States","volume":"4","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955850e4b0a933d82c4ccf","contributors":{"authors":[{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":473192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":473190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choi, Tae-young","contributorId":89036,"corporation":false,"usgs":true,"family":"Choi","given":"Tae-young","affiliations":[],"preferred":false,"id":473193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":473189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":473191,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70146878,"text":"70146878 - 2010 - <i>Przewalskium albirostre</i> (Artiodactyla: Cervidae)","interactions":[],"lastModifiedDate":"2015-04-29T14:07:52","indexId":"70146878","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2654,"text":"Mammalian Species","active":true,"publicationSubtype":{"id":10}},"title":"<i>Przewalskium albirostre</i> (Artiodactyla: Cervidae)","docAbstract":"<p><i>Przewalskium albirostre</i><span><span class=\"Apple-converted-space\">&nbsp;</span>(Przewalski, 1883) is a physically unique cervid commonly called the white-lipped deer.<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Przewalskium</i><span><span class=\"Apple-converted-space\">&nbsp;</span>is monotypic. This species is a high-elevation specialist endemic to the eastern Tibetan Plateau where it inhabits relatively open hills and mountains with a mosaic of forest edges, meadows, and shrublands. Populations of<span class=\"Apple-converted-space\">&nbsp;</span></span><i>P. albirostre</i><span><span class=\"Apple-converted-space\">&nbsp;</span>are highly fragmented and vulnerable because of exploitation and competition with domestic livestock of pastoralists. There have been no systematic efforts to estimate the total number of extant<span class=\"Apple-converted-space\">&nbsp;</span></span><i>P. albirostre,</i><span><span class=\"Apple-converted-space\">&nbsp;</span>and it is considered Vulnerable by the International Union for Conservation of Nature and Natural Resources. It is farmed for its antlers in China and is represented in zoos and private collections.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1644/849.1","usgsCitation":"Leslie, D.M., 2010, <i>Przewalskium albirostre</i> (Artiodactyla: Cervidae): Mammalian Species, v. 42, no. 849, p. 7-18, https://doi.org/10.1644/849.1.","productDescription":"12 p.","startPage":"7","endPage":"18","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-006871","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475815,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/849.1","text":"Publisher Index Page"},{"id":299957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"849","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"554200aee4b0a658d793b289","contributors":{"authors":[{"text":"Leslie, David M. Jr. 0000-0002-3884-1484 cleslie@usgs.gov","orcid":"https://orcid.org/0000-0002-3884-1484","contributorId":2483,"corporation":false,"usgs":true,"family":"Leslie","given":"David","suffix":"Jr.","email":"cleslie@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":545450,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036421,"text":"70036421 - 2010 - Water quality of least-impaired lakes in eastern and southern Arkansas","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036421","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Water quality of least-impaired lakes in eastern and southern Arkansas","docAbstract":"A three-phased study identified one least-impaired (reference) lake for each of four Arkansas lake classifications: three classifications in the Mississippi Alluvial Plain (MAP) ecoregion and a fourth classification in the South Central Plains (SCP) ecoregion. Water quality at three of the least-impaired lakes generally was comparable and also was comparable to water quality from Kansas and Missouri reference lakes and Texas least-impaired lakes. Water quality of one least-impaired lake in the MAP ecoregion was not as good as water quality in other least-impaired lakes in Arkansas or in the three other states: a probable consequence of all lakes in that classification having a designated use as a source of irrigation water. Chemical and physical conditions for all four lake classifications were at times naturally harsh as limnological characteristics changed temporally. As a consequence of allochthonous organic material, oxbow lakes isolated within watersheds comprised of swamps were susceptible to low dissolved oxygen concentrations to the extent that conditions would be limiting to some aquatic biota. Also, pH in lakes in the SCP ecoregion was <6.0, a level exceeding current Arkansas water-quality standards but typical of black water systems. Water quality of the deepest lakes exceeded that of shallow lakes. N/P ratios and trophic state indices may be less effective for assessing water quality for shallow lakes (<2 m) than for deep lakes because there is an increased exposure of sediment (and associated phosphorus) to disturbance and light in the former. ?? 2009 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10661-009-1120-5","issn":"01676369","usgsCitation":"Justus, B., 2010, Water quality of least-impaired lakes in eastern and southern Arkansas: Environmental Monitoring and Assessment, v. 168, no. 1-4, p. 363-383, https://doi.org/10.1007/s10661-009-1120-5.","startPage":"363","endPage":"383","numberOfPages":"21","costCenters":[],"links":[{"id":218350,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-009-1120-5"},{"id":246350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"168","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-08-25","publicationStatus":"PW","scienceBaseUri":"505bc8d4e4b08c986b32cb24","contributors":{"authors":[{"text":"Justus, B.","contributorId":74232,"corporation":false,"usgs":true,"family":"Justus","given":"B.","affiliations":[],"preferred":false,"id":456058,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003705,"text":"70003705 - 2010 - K is for potassium","interactions":[],"lastModifiedDate":"2013-06-05T10:12:58","indexId":"70003705","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"K is for potassium","docAbstract":"K - the chemical symbol for the element/metal potassium.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Langer, W.H., 2010, K is for potassium: Aggregates Manager, v. 15, no. 11, p. 36-36.","productDescription":"1 p.","startPage":"36","endPage":"36","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":203901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24501,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.aggman.com/carved-in-stone-9/","linkFileType":{"id":5,"text":"html"}}],"volume":"15","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b48ac","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":348417,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003706,"text":"70003706 - 2010 - H is for highway","interactions":[],"lastModifiedDate":"2013-06-05T10:07:58","indexId":"70003706","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"H is for highway","docAbstract":"From cow paths to freeways, we seldom appreciate what went into America's highway system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Langer, W.H., 2010, H is for highway: Aggregates Manager, v. 15, no. 8, p. 36-36.","productDescription":"1 p.","startPage":"36","endPage":"36","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":203902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24487,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.aggman.com/carved-in-stone-6/?pg=1","linkFileType":{"id":5,"text":"html"}}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aefe4b07f02db69160b","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":348418,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037717,"text":"70037717 - 2010 - New models for Paleoproterozoic orogenesis in the Cheyenne belt region: Evidence from the geology and U-Pb geochronology of the Big Creek Gneiss, southeastern Wyoming","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"70037717","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"New models for Paleoproterozoic orogenesis in the Cheyenne belt region: Evidence from the geology and U-Pb geochronology of the Big Creek Gneiss, southeastern Wyoming","docAbstract":"The disputed age of the deep crust of the Colorado Province is central to hypotheses for Paleoproterozoic crustal growth in the region. We studied the high-grade Big Creek Gneiss, southeastern Wyoming, as a potential exposure of pre-1780 Ma basement rocks. New geologic mapping and U-Pb geochronological data indicate that the Big Creek Gneiss exposes a deeper, but coeval, level of the Green Mountain arc relative to the predominantly supracrustal section to the west. The Big Creek Gneiss is composed of: supracrustal rocks; a ca. 1780 Ma Green Mountain arc-correlative, bimodal intrusive suite; a ca. 1763 Ma extensional(?) bimodal intrusive suite; and widespread ca. 1630 Ma pegmatitic leucogranite. The mafic member of the younger bimodal suite is documented here for the first time. U-Pb zircon ages from migmatite leucosomes indicate penetrative deformation of the Big Creek Gneiss at ca. 1750 Ma. We find that the postarc intrusive suite is mantle-involved, implying a second period of crustal growth. Shortening postdates arc magmatism by ~20 m.y., implying that termination of arc magmatism and accretion were separate events. Finally, criteria previously used to constrain the polarity of subduction for the Green Mountain arc are not reliable. We propose two competing models: (1) southward-dipping Green Mountain arc subduction (present coordinates), with slab breakoff-related magmatism following arc accretion; or (2) northward-dipping subduction, with extensional postarc magmatism. In both models, high-temperature deformation coincides with accretion along the Cheyenne belt, and extensional magmatism is an important component of crustal growth. We prefer the northward-dipping subduction model because it can be better integrated with regional tectonic events and published isotopic compositions of the igneous rocks. ?? 2010 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/B30164.1","issn":"00167606","usgsCitation":"Jones, D., Snoke, A., Premo, W.R., and Chamberlain, K., 2010, New models for Paleoproterozoic orogenesis in the Cheyenne belt region: Evidence from the geology and U-Pb geochronology of the Big Creek Gneiss, southeastern Wyoming: Geological Society of America Bulletin, v. 122, no. 11-12, p. 1877-1898, https://doi.org/10.1130/B30164.1.","startPage":"1877","endPage":"1898","numberOfPages":"22","costCenters":[],"links":[{"id":217943,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30164.1"},{"id":245916,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2010-08-11","publicationStatus":"PW","scienceBaseUri":"505a65eee4b0c8380cd72ca8","contributors":{"authors":[{"text":"Jones, D.S.","contributorId":48005,"corporation":false,"usgs":true,"family":"Jones","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":462472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snoke, A.W.","contributorId":14899,"corporation":false,"usgs":true,"family":"Snoke","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":462470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Premo, W. R. 0000-0001-9904-4801","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":22782,"corporation":false,"usgs":true,"family":"Premo","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":462471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chamberlain, K.R.","contributorId":49546,"corporation":false,"usgs":true,"family":"Chamberlain","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":462473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037704,"text":"70037704 - 2010 - Shallow subsurface structure of the Wasatch fault, Provo segment, Utah, from integrated compressional and shear-wave seismic reflection profiles with implications for fault structure and development","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"70037704","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Shallow subsurface structure of the Wasatch fault, Provo segment, Utah, from integrated compressional and shear-wave seismic reflection profiles with implications for fault structure and development","docAbstract":"Integrated vibroseis compressional and experimental hammer-source, shear-wave, seismic reflection profiles across the Provo segment of the Wasatch fault zone in Utah reveal near-surface and shallow bedrock structures caused by geologically recent deformation. Combining information from the seismic surveys, geologic mapping, terrain analysis, and previous seismic first-arrival modeling provides a well-constrained cross section of the upper ~500 m of the subsurface. Faults are mapped from the surface, through shallow, poorly consolidated deltaic sediments, and cutting through a rigid bedrock surface. The new seismic data are used to test hypotheses on changing fault orientation with depth, the number of subsidiary faults within the fault zone and the width of the fault zone, and the utility of integrating separate elastic methods to provide information on a complex structural zone. Although previous surface mapping has indicated only a few faults, the seismic section shows a wider and more complex deformation zone with both synthetic and antithetic normal faults. Our study demonstrates the usefulness of a combined shallow and deeper penetrating geophysical survey, integrated with detailed geologic mapping to constrain subsurface fault structure. Due to the complexity of the fault zone, accurate seismic velocity information is essential and was obtained from a first-break tomography model. The new constraints on fault geometry can be used to refine estimates of vertical versus lateral tectonic movements and to improve seismic hazard assessment along the Wasatch fault through an urban area. We suggest that earthquake-hazard assessments made without seismic reflection imaging may be biased by the previous mapping of too few faults. ?? 2010 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/B30174.1","issn":"00167606","usgsCitation":"McBride, J., Stephenson, W.J., Williams, R.A., Odum, J.K., Worley, D.M., South, J., Brinkerhoff, A., Keach, R., and Okojie-Ayoro, A.O., 2010, Shallow subsurface structure of the Wasatch fault, Provo segment, Utah, from integrated compressional and shear-wave seismic reflection profiles with implications for fault structure and development: Geological Society of America Bulletin, v. 122, no. 11-12, p. 1800-1814, https://doi.org/10.1130/B30174.1.","startPage":"1800","endPage":"1814","numberOfPages":"15","costCenters":[],"links":[{"id":218083,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30174.1"},{"id":246064,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2010-08-11","publicationStatus":"PW","scienceBaseUri":"505b8e41e4b08c986b31880f","contributors":{"authors":[{"text":"McBride, J.H.","contributorId":99712,"corporation":false,"usgs":true,"family":"McBride","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":462401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, W. J.","contributorId":87982,"corporation":false,"usgs":true,"family":"Stephenson","given":"W.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":462399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, R. A.","contributorId":82323,"corporation":false,"usgs":true,"family":"Williams","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Odum, J. K.","contributorId":105705,"corporation":false,"usgs":true,"family":"Odum","given":"J.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":462402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Worley, D. M.","contributorId":98332,"corporation":false,"usgs":true,"family":"Worley","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":462400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"South, J.V.","contributorId":72188,"corporation":false,"usgs":true,"family":"South","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":462397,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brinkerhoff, A.R.","contributorId":16253,"corporation":false,"usgs":true,"family":"Brinkerhoff","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":462394,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keach, R.W.","contributorId":64928,"corporation":false,"usgs":true,"family":"Keach","given":"R.W.","affiliations":[],"preferred":false,"id":462396,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Okojie-Ayoro, A. O.","contributorId":60853,"corporation":false,"usgs":true,"family":"Okojie-Ayoro","given":"A.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":462395,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70189026,"text":"70189026 - 2010 - Are modern geothermal waters in northwest Nevada forming epithermal gold deposits?","interactions":[],"lastModifiedDate":"2017-06-29T14:53:05","indexId":"70189026","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Are modern geothermal waters in northwest Nevada forming epithermal gold deposits?","docAbstract":"<p>Hydrothermal systems currently are active near some gold deposits in northwestern Nevada. Possible links of these modern systems to gold mineralization were evaluated by chemically and isotopically analyzing water samples from the Brady, Dixie Valley, Humboldt House, San Emidio-Empire, Soda Lake, and Wabuska geothermal areas. In addition, quartz veins from Humboldt House and the adjacent Florida Canyon Mine were analyzed to compare ore and gangue phases with those predicted to form from proximal hydrothermal fluids.</p><p>Nearly all water samples are alkali-chloride-type. Total dissolved solids range from 800 to 3900 mg/L, and pH varies from 5.6 to 7.8. Geochemical modeling with SOLVEQ, WATCH, and CHILLER predict the precipitation of silica in all systems during cooling. Anhydrite, calcite, barite, pyrite, base-metal sulfides, and alumino-silicates are variably saturated at calculated reservoir temperatures and also precipitate during boiling/cooling of some fluids. Measured dissolved gold concentrations are low (&lt;0.2<span>μg/L), but are generally consistent with contents predicted by equilibrium of sampled solutions with elemental gold at reservoir temperatures. &nbsp;Although the modern geothermal waters can precipitate ore minerals, the low gold and other ore metal concentrations require very large fluid volumes to form a deposit of economic interest.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geological Society of Nevada Symposium, Great Basin Evolution and Metallogeny 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geological Society of Nevada","usgsCitation":"Breit, G.N., Hunt, A.G., Wolf, R.E., Koenig, A.E., Fifarek, R., and Coolbaugh, M.F., 2010, Are modern geothermal waters in northwest Nevada forming epithermal gold deposits?, <i>in</i> Geological Society of Nevada Symposium, Great Basin Evolution and Metallogeny 2010, p. 833-844.","productDescription":"12 p.","startPage":"833","endPage":"844","ipdsId":"IP-020129","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c9e4b0d1f9f05067fe","contributors":{"authors":[{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenig, Alan E. 0000-0002-5230-0924 akoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":1564,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","email":"akoenig@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fifarek, Richard","contributorId":193871,"corporation":false,"usgs":false,"family":"Fifarek","given":"Richard","email":"","affiliations":[],"preferred":false,"id":702476,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coolbaugh, Mark F.","contributorId":193870,"corporation":false,"usgs":false,"family":"Coolbaugh","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":702475,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189023,"text":"70189023 - 2010 - Transient electromagnetic mapping of clay units in the San Luis Valley, Colorado","interactions":[],"lastModifiedDate":"2017-09-20T15:04:08","indexId":"70189023","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Transient electromagnetic mapping of clay units in the San Luis Valley, Colorado","docAbstract":"<p>Transient&nbsp;<span>electromagnetic soundings were used to obtain information needed to refine hydrologic models of the San Luis Valley, Colorado. The soundings were able to map an aquitard called the blue clay that separates an unconfined surface aquifer from a deeper confined aquifer. The blue clay forms a conductor with an average resistivity of 6.9 ohm‐m. Above the conductor are found a mixture of gray clay and sand. The gray clay has an average resistivity of 21 ohm‐m, while the sand has a resistivity of greater than 100 ohm‐m. The large difference in resistivity of these units makes mapping them with a surface geophysical method relatively easy. The blue clay was deposited at the bottom of Lake Alamosa which filled most of the San Luis Valley during the Pleistocene. The geometry of the blue clay is influenced by a graben on the eastern side of the valley. The depth to the blue clay is greater over the graben. Along the eastern edge of valley the blue clay appears to be truncated by faults.</span><br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.3445428","usgsCitation":"Fitterman, D.V., and Grauch, V.J., 2010, Transient electromagnetic mapping of clay units in the San Luis Valley, Colorado, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010, p. 154-164, https://doi.org/10.4133/1.3445428.","productDescription":"11 p.","startPage":"154","endPage":"164","ipdsId":"IP-019459","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Valley","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-17","publicationStatus":"PW","scienceBaseUri":"595611c9e4b0d1f9f0506802","contributors":{"authors":[{"text":"Fitterman, David V. dfitterman@usgs.gov","contributorId":1106,"corporation":false,"usgs":true,"family":"Fitterman","given":"David","email":"dfitterman@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702462,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","interactions":[{"subject":{"id":70156906,"text":"70156906 - 2010 - Water-budget methods","indexId":"70156906","publicationYear":"2010","noYear":false,"chapter":"2","title":"Water-budget methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":1},{"subject":{"id":70189916,"text":"70189916 - 2010 - Modeling methods","indexId":"70189916","publicationYear":"2010","noYear":false,"chapter":"3","title":"Modeling methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":2},{"subject":{"id":70189917,"text":"70189917 - 2010 - Heat tracer methods","indexId":"70189917","publicationYear":"2010","noYear":false,"chapter":"8","title":"Heat tracer methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":3}],"lastModifiedDate":"2021-04-26T17:33:28.485087","indexId":"70189200","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Estimating groundwater recharge","docAbstract":"<p><span>Understanding groundwater recharge is essential for successful management of water resources and modeling fluid and contaminant transport within the subsurface. This book provides a critical evaluation of the theory and assumptions that underlie methods for estimating rates of groundwater recharge. Detailed explanations of the methods are provided - allowing readers to apply many of the techniques themselves without needing to consult additional references. Numerous practical examples highlight benefits and limitations of each method. Approximately 900 references allow advanced practitioners to pursue additional information on any method. For the first time, theoretical and practical considerations for selecting and applying methods for estimating groundwater recharge are covered in a single volume with uniform presentation. Hydrogeologists, water-resource specialists, civil and agricultural engineers, earth and environmental scientists and agronomists will benefit from this informative and practical book. It can serve as the primary text for a graduate-level course on groundwater recharge or as an adjunct text for courses on groundwater hydrology or hydrogeology.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511780745","usgsCitation":"Healy, R.W., 2010, Estimating groundwater recharge, 256 p., https://doi.org/10.1017/CBO9780511780745.","productDescription":"256 p.","ipdsId":"IP-017602","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-05","publicationStatus":"PW","scienceBaseUri":"595f4c48e4b0d1f9f057e38f","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703463,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189025,"text":"70189025 - 2010 - Specular reflection on Titan: Liquids in Kraken Mare","interactions":[],"lastModifiedDate":"2017-06-29T14:02:00","indexId":"70189025","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Specular reflection on Titan: Liquids in Kraken Mare","docAbstract":"<p><span>After more than 50 close flybys of Titan by the Cassini spacecraft, it has become evident that features similar in morphology to terrestrial lakes and seas exist in Titan's polar regions. As Titan progresses into northern spring, the much more numerous and larger lakes and seas in the north-polar region suggested by Cassini RADAR data, are becoming directly illuminated for the first time since the arrival of the Cassini spacecraft. This allows the Cassini optical instruments to search for specular reflections to provide further confirmation that liquids are present in these evident lakes. On July 8, 2009 Cassini VIMS detected a specular reflection in the north-polar region of Titan associated with Kraken Mare, one of Titan's large, presumed seas, indicating the lake's surface is smooth and free of scatterers with respect to the wavelength of 5&nbsp;</span><i>μ</i><span>m, where VIMS detected the specular signal, strongly suggesting it is liquid.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2009GL042312","usgsCitation":"Stephan, K., Jaumann, R., Brown, R.H., Soderblom, J.M., Soderblom, L.A., Barnes, J.W., Sotin, C., Griffith, C.A., Kirk, R.L., Baines, K.H., Buratti, B.J., Clark, R.N., Lytle, D.M., Nelson, R.M., and Nicholson, P.D., 2010, Specular reflection on Titan: Liquids in Kraken Mare: Geophysical Research Letters, v. 37, no. 7, p. 1-5, https://doi.org/10.1029/2009GL042312.","productDescription":"Article L07104; 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-020044","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-04-07","publicationStatus":"PW","scienceBaseUri":"595611c9e4b0d1f9f0506800","contributors":{"authors":[{"text":"Stephan, Katrin","contributorId":147248,"corporation":false,"usgs":false,"family":"Stephan","given":"Katrin","email":"","affiliations":[],"preferred":false,"id":702610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaumann, Ralf","contributorId":147249,"corporation":false,"usgs":false,"family":"Jaumann","given":"Ralf","email":"","affiliations":[],"preferred":false,"id":702611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Robert H.","contributorId":147246,"corporation":false,"usgs":false,"family":"Brown","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":702612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soderblom, Jason M.","contributorId":193866,"corporation":false,"usgs":false,"family":"Soderblom","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":702613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soderblom, Laurence A. 0000-0002-0917-853X lsoderblom@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":2721,"corporation":false,"usgs":true,"family":"Soderblom","given":"Laurence","email":"lsoderblom@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":702614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnes, Jason W.","contributorId":147251,"corporation":false,"usgs":false,"family":"Barnes","given":"Jason","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":702616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Griffith, Caitlin A.","contributorId":193921,"corporation":false,"usgs":false,"family":"Griffith","given":"Caitlin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702617,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":702618,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baines, Kevin H.","contributorId":193922,"corporation":false,"usgs":false,"family":"Baines","given":"Kevin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":702619,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Buratti, Bonnie J.","contributorId":152192,"corporation":false,"usgs":false,"family":"Buratti","given":"Bonnie","email":"","middleInitial":"J.","affiliations":[{"id":18876,"text":"California Institute of Technology, Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":702620,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702621,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lytle, Dyer M.","contributorId":193923,"corporation":false,"usgs":false,"family":"Lytle","given":"Dyer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":702622,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nelson, Robert M.","contributorId":193924,"corporation":false,"usgs":false,"family":"Nelson","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":702623,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nicholson, Philip D.","contributorId":193925,"corporation":false,"usgs":false,"family":"Nicholson","given":"Philip","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":702624,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70190462,"text":"70190462 - 2010 - Quantifying rock uplift rates using channel steepness and cosmogenic nuclide–determined erosion rates: Examples from northern and southern Italy","interactions":[],"lastModifiedDate":"2017-09-01T11:05:40","indexId":"70190462","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying rock uplift rates using channel steepness and cosmogenic nuclide–determined erosion rates: Examples from northern and southern Italy","docAbstract":"<p><span>Rock uplift rates can be difficult to measure over 10</span><sup>3</sup><span>–10</span><sup>5</sup><span><span>&nbsp;</span>yr time scales. If, however, a landscape approaches steady state, where hillslope erosion and rock uplift rates are steady and locally similar, then it should be possible to quantify rock uplift rates from hillslope erosion rates. Here, we test this prediction by comparing channel steepness index values and<span>&nbsp;</span></span><sup>10</sup><span>Be catchment-averaged erosion rates to well-constrained rock uplift rates in two landscapes in Italy. The first field area is the Romagna Apennines, northern Italy, where rock uplift rates are relatively uniform, between 0.2 and 0.5 mm/yr (regional mean 0.40 ± 0.15 [SE] mm/yr), and have been steady since 0.9 Ma. The second area is the region around northeastern Sicily and the southernmost Italian peninsula, where rock uplift rates are higher and exhibit a strong spatial gradient, from ∼0.7 to ∼1.6 mm/yr (regional mean 1.09 ± 0.13 [SE] mm/yr). In both regions, channel steepness indices and<span>&nbsp;</span></span><sup>10</sup><span>Be erosion rates vary directly with rock uplift rates. Although there is considerable variability in erosion rates, regionally averaged rates in both the northern (0.46 ± 0.04 [SE] mm/yr) and southern (1.21 ± 0.24 [SE] mm/yr) areas accurately measure rock uplift rates. Although channel steepness indices do not quantify rock uplift rates, they are useful for (1) identifying regional patterns of rock uplift, (2) identifying areas where uplift rates might be expected to be uniform, and (3) informing<span>&nbsp;</span></span><sup>10</sup><span>Be sampling strategies. This study demonstrates that, together, channel steepness and hillslope erosion rates can provide a powerful tool for determining rock uplift rates.</span></p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/L96.1","usgsCitation":"Cyr, A.J., Granger, D., Olivetti, V., and Molin, P., 2010, Quantifying rock uplift rates using channel steepness and cosmogenic nuclide–determined erosion rates: Examples from northern and southern Italy: Lithosphere, v. 2, no. 3, p. 188-198, https://doi.org/10.1130/L96.1.","productDescription":"11 p.","startPage":"188","endPage":"198","ipdsId":"IP-018502","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":475904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l96.1","text":"Publisher Index Page"},{"id":345420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","volume":"2","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59aa71dde4b0e9bde130d017","contributors":{"authors":[{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granger, Darryl E.","contributorId":40137,"corporation":false,"usgs":true,"family":"Granger","given":"Darryl E.","affiliations":[],"preferred":false,"id":709274,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Olivetti, Valerio","contributorId":191611,"corporation":false,"usgs":false,"family":"Olivetti","given":"Valerio","email":"","affiliations":[],"preferred":false,"id":709276,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Molin, Paola","contributorId":196097,"corporation":false,"usgs":false,"family":"Molin","given":"Paola","email":"","affiliations":[],"preferred":false,"id":709275,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70188017,"text":"70188017 - 2010 - Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data","interactions":[],"lastModifiedDate":"2017-05-26T13:42:56","indexId":"70188017","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data","docAbstract":"<p><span>This study introduces a new geographic framework, phenological classification, for the conterminous United States based on Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time-series data and a digital elevation model. The resulting pheno-class map is comprised of 40 pheno-classes, each having unique phenological and topographic characteristics. Cross-comparison of the pheno-classes with the 2001 National Land Cover Database indicates that the new map contains additional phenological and climate information. The pheno-class framework may be a suitable basis for the development of an Advanced Very High Resolution Radiometer (AVHRR)-MODIS NDVI translation algorithm and for various biogeographic studies.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs2020526","usgsCitation":"Gu, Y., Brown, J.F., Miura, T., van Leeuwen, W., and Reed, B.C., 2010, Phenological classification of the United States: A geographic framework for extending multi-sensor time-series data: Remote Sensing, v. 2, no. 2, p. 526-544, https://doi.org/10.3390/rs2020526.","productDescription":"19 p.","startPage":"526","endPage":"544","ipdsId":"IP-017418","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475844,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs2020526","text":"Publisher Index Page"},{"id":341806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-02-11","publicationStatus":"PW","scienceBaseUri":"59293e9ae4b016f7a940771e","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":3241,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miura, Tomoaki","contributorId":192312,"corporation":false,"usgs":false,"family":"Miura","given":"Tomoaki","email":"","affiliations":[],"preferred":false,"id":696193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Leeuwen, Willem","contributorId":148978,"corporation":false,"usgs":false,"family":"van Leeuwen","given":"Willem","email":"","affiliations":[],"preferred":false,"id":696194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Bradley C. 0000-0002-1132-7178 reed@usgs.gov","orcid":"https://orcid.org/0000-0002-1132-7178","contributorId":2901,"corporation":false,"usgs":true,"family":"Reed","given":"Bradley","email":"reed@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696195,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189205,"text":"70189205 - 2010 - Comment on “Two statistics for evaluating parameter identifiability and error reduction” by John Doherty and Randall J. Hunt","interactions":[],"lastModifiedDate":"2017-07-05T16:10:38","indexId":"70189205","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Comment on “Two statistics for evaluating parameter identifiability and error reduction” by John Doherty and Randall J. Hunt","docAbstract":"<p>Doherty and Hunt (2009)<span><span>&nbsp;</span>present important ideas for first-order-second moment sensitivity analysis, but five issues are discussed in this comment. First, considering the composite-scaled sensitivity (CSS) jointly with parameter correlation coefficients (PCC) in a CSS/PCC analysis addresses the difficulties with CSS mentioned in the introduction. Second, their new parameter identifiability statistic actually is likely to do a poor job of parameter identifiability in common situations. The statistic instead performs the very useful role of showing how model parameters are included in the estimated singular value decomposition (SVD) parameters. Its close relation to CSS is shown. Third, the idea from p. 125 that a suitable truncation point for SVD parameters can be identified using the prediction variance is challenged using results from<span>&nbsp;</span></span>Moore and Doherty (2005)<span>. Fourth, the relative error reduction statistic of Doherty and Hunt is shown to belong to an emerging set of statistics here named perturbed calculated variance statistics. Finally, the perturbed calculated variance statistics OPR and PPR mentioned on p. 121 are shown to explicitly include the parameter null-space component of uncertainty. Indeed, OPR and PPR results that account for null-space uncertainty have appeared in the literature since 2000.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2009.10.011","usgsCitation":"Hill, M.C., 2010, Comment on “Two statistics for evaluating parameter identifiability and error reduction” by John Doherty and Randall J. Hunt: Journal of Hydrology, v. 380, no. 3-4, p. 481-488, https://doi.org/10.1016/j.jhydrol.2009.10.011.","productDescription":"8 p.","startPage":"481","endPage":"488","ipdsId":"IP-013335","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"380","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab9e4b0d1f9f056a7bc","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703482,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190465,"text":"70190465 - 2010 - The age of the Steens reversal and the Columbia River Basalt Group","interactions":[],"lastModifiedDate":"2017-08-31T15:48:25","indexId":"70190465","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"The age of the Steens reversal and the Columbia River Basalt Group","docAbstract":"<p><span>The Columbia River Basalt Group (CRBG) eruptions have a well-defined relative magnetostratigraphy but have not been definitively correlated to the geomagnetic polarity time scale.&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages are presented from lavas erupted in the<span>&nbsp;</span></span><i>R</i><sub>0</sub><span><span>&nbsp;</span>through<span>&nbsp;</span></span><i>N</i><sub>1</sub><span>magnetozones of the CRBG and in the transition between<span>&nbsp;</span></span><i>R</i><sub>0</sub><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>N</i><sub>0</sub><span>. Four ages from transitionally magnetized lava flows at Steens Mountain, Catlow Peak, and Poker Jim Ridge with a weighted mean age 16.58</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.10</span><span>&nbsp;</span><span>Ma</span><a class=\"workspace-trigger\" name=\"bfn1\" href=\"http://www.sciencedirect.com/science/article/pii/S0009254110001221?via%3Dihub#fn1\" data-mce-href=\"http://www.sciencedirect.com/science/article/pii/S0009254110001221?via%3Dihub#fn1\"><sup>1</sup></a><span><span>&nbsp;</span>and the more precise age 16.654</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.025</span><span>&nbsp;</span><span>Ma of the normally magnetized Oregon Canyon tuff at the top of the Catlow Peak section show that the oldest CRBG magnetozone (</span><i>R</i><sub>0</sub><span>) correlates with the C5Cr chron. Bayesian statistical analysis applied to data from four flows at Catlow Peak (using the mean age of the Steens reversal) gives a best and preferred age of the Steens reversal of 16.73</span><span>&nbsp;</span><span>+</span><span>&nbsp;</span><span>0.13/−0.08</span><span>&nbsp;</span><span>Ma (95% confidence). Depending on the geomagnetic polarity time scale model, the eruption rate from<span>&nbsp;</span></span><i>N</i><sub>0</sub><span><span>&nbsp;</span>through<span>&nbsp;</span></span><i>R</i><sub>2</sub><span><span>&nbsp;</span>(0.34–0.45</span><span>&nbsp;</span><span>Ma in the middle and the bulk of the CRBG emplacement) averaged 0.30–0.41</span><span>&nbsp;</span><span>km</span><sup>3</sup><span>/a and peaked at a rate 1 1/2 to 4 1/2 times higher during<span>&nbsp;</span></span><i>R</i><sub>2.</sub></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2010.04.001","usgsCitation":"Jarboe, N.A., Coe, R.S., Renne, P., and Glen, J.M., 2010, The age of the Steens reversal and the Columbia River Basalt Group: Chemical Geology, v. 274, no. 3-4, p. 158-168, https://doi.org/10.1016/j.chemgeo.2010.04.001.","productDescription":"11 p.","startPage":"158","endPage":"168","ipdsId":"IP-021994","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":345397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"274","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a92041e4b07e1a023ccdac","contributors":{"authors":[{"text":"Jarboe, Nicholas A.","contributorId":196084,"corporation":false,"usgs":false,"family":"Jarboe","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, Robert S.","contributorId":20477,"corporation":false,"usgs":true,"family":"Coe","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":709297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renne, Paul R.","contributorId":47680,"corporation":false,"usgs":false,"family":"Renne","given":"Paul R.","affiliations":[],"preferred":false,"id":709298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glen, Jonathan M. G. jglen@usgs.gov","contributorId":1753,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M. G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":709299,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037314,"text":"70037314 - 2010 - Stress response of brown pelican nestlings to ectoparasite infestation","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037314","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Stress response of brown pelican nestlings to ectoparasite infestation","docAbstract":"Measurement of corticosterone has become a useful tool for assessing the response of individuals to ecological stressors of interest. Enhanced corticosterone levels can promote survival of stressful events; however, in situations where a stressor persists and corticosterone levels remain elevated, the adrenocortical response can be detrimental. A potential ecological stressor for wild birds is parasitism by ectoparasites. We studied the stress response of 11-23-day-old brown pelican (Pelecanus occidentalis) nestlings by measuring plasma corticosterone levels in relation to the presence of the soft tick Carios capensis at two colonies in South Carolina in 2005. We expected to see higher baseline and stress-induced levels of corticosterone for parasitized chicks compared to those nestlings with no ticks. Although nestlings mounted a response to capture stress, tick category was not associated with corticosterone levels at either colony. Our results appear to contrast those of previous studies and indicate that the adrenocortical response of the host is likely dependent on the type of ectoparasite and the degree of infestation. ?? 2009 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"General and Comparative Endocrinology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ygcen.2009.08.009","issn":"00166480","usgsCitation":"Eggert, L., Jodice, P., and O’Reilly, K.M., 2010, Stress response of brown pelican nestlings to ectoparasite infestation: General and Comparative Endocrinology, v. 166, no. 1, p. 33-38, https://doi.org/10.1016/j.ygcen.2009.08.009.","startPage":"33","endPage":"38","numberOfPages":"6","costCenters":[],"links":[{"id":245225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217290,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ygcen.2009.08.009"}],"volume":"166","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b64e4b08c986b31ce52","contributors":{"authors":[{"text":"Eggert, L.M.F.","contributorId":77393,"corporation":false,"usgs":true,"family":"Eggert","given":"L.M.F.","email":"","affiliations":[],"preferred":false,"id":460433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jodice, P.G.R.","contributorId":79846,"corporation":false,"usgs":true,"family":"Jodice","given":"P.G.R.","email":"","affiliations":[],"preferred":false,"id":460434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Reilly, K. M.","contributorId":108345,"corporation":false,"usgs":true,"family":"O’Reilly","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":460435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037181,"text":"70037181 - 2010 - Judging a brook by its cover: The relation between ecological condition of a stream and urban land cover in new England","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037181","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Judging a brook by its cover: The relation between ecological condition of a stream and urban land cover in new England","docAbstract":"The US Geological Survey conducted an urban land-use study in the New England Coastal Basins (NECB) area during 2001 to determine how urbanization relates to changes in the ecological condition of streams. Thirty sites were selected that differed in their level of watershed development (low to high). An urban intensity value was calculated for each site from 24 landscape variables. Together, these 30 values reppresented a gradient of urban intensity. Among various biological, chemical, and physical factors surveyed at each site, benthic invertebrate assemblages were sampled from stream riffles and also from multiple habitats along the length of the sampling reach. We use some of the NECB data to derive a four-variable urbanintensity index (NECB-UII), where each variable represents a distinct component of urbanization: increasing human presence, expanding infrastructure, landscape development, and riparian vegetation loss. Using the NECB-UII as a characterization of urbanization, we describe how landscape fragmentation occurs with urbanization and how changes in the invertebrate assemblages, represented by metrics of ecological condition, are related to urbanization. Metrics with a strong linear response included EPT taxa richness, percentage richness of non-insect taxa, and pollution-tolerance values. Additionally, we describe how these relations can help in estimating the expected condition of a stream for its level of urbanization, thereby establishing a baseline for evaluating possible affects from specific point-source stressors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1656/045.017.0103","issn":"10926194","usgsCitation":"Coles, J., Cuffney, T., McMahon, G., and Rosiu, C., 2010, Judging a brook by its cover: The relation between ecological condition of a stream and urban land cover in new England: Northeastern Naturalist, v. 17, no. 1, p. 29-48, https://doi.org/10.1656/045.017.0103.","startPage":"29","endPage":"48","numberOfPages":"20","costCenters":[],"links":[{"id":217141,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1656/045.017.0103"},{"id":245060,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4028e4b0c8380cd64b2b","contributors":{"authors":[{"text":"Coles, J.F.","contributorId":80257,"corporation":false,"usgs":true,"family":"Coles","given":"J.F.","affiliations":[],"preferred":false,"id":459780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, T. F.","contributorId":108134,"corporation":false,"usgs":true,"family":"Cuffney","given":"T. F.","affiliations":[],"preferred":false,"id":459783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, G.","contributorId":87263,"corporation":false,"usgs":true,"family":"McMahon","given":"G.","email":"","affiliations":[],"preferred":false,"id":459781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosiu, C. J.","contributorId":97034,"corporation":false,"usgs":true,"family":"Rosiu","given":"C. J.","affiliations":[],"preferred":false,"id":459782,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037149,"text":"70037149 - 2010 - Influence of roads, rivers, and mountains on natal dispersal of white-tailed deer","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037149","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Influence of roads, rivers, and mountains on natal dispersal of white-tailed deer","docAbstract":"Natural and anthropogenic landscape features, such as rivers, mountain ranges, and roads can alter animal dispersal paths and movement patterns. Consequently landscape, through its effects on dispersal, may influence many ecological processes, including disease transmission, invasion dynamics, and gene flow. To investigate influences of landscape features on dispersal patterns of a large mammal, we captured and radiomarked 363 juvenile male white-tailed deer (Odocoileus virginianus), including 212 confirmed dispersers, in 2 topographically dissimilar study areas in Pennsylvania, USA. Dispersal azimuths were uniformly distributed in the western study area (WSA), where there was irregular, hilly topography. Mean dispersal azimuths paralleled ridge direction in the eastern study area, where long parallel ridges were aligned northeastsouthwest. Major roads in both areas and a large river in the WSA were semipermeable barriers to dispersal of juvenile males; dispersal paths were less likely to intersect these linear features. Dispersal movements were direct and brief, typically lasting <12 hours. For all dispersers, we found no evidence for preference or avoidance of establishing adult, postdispersal ranges in proximity to roads; however, deer that encountered roads near the terminus of their dispersal path were more likely to stop on the near side. Further, for deer that established postdispersal home ranges near major roads, these features influenced range placement such that locations were typically clustered on one side of the road. The influence of roads, rivers, and mountains on dispersal paths and postdispersal locations of white-tailed deer suggest that landscape-specific features should be considered in conservation and management of this and possibly other species of large mammals. ?? 2010 The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2009-096","issn":"0022541X","usgsCitation":"Long, E., Diefenbach, D., Wallingford, B., and Rosenberry, C., 2010, Influence of roads, rivers, and mountains on natal dispersal of white-tailed deer: Journal of Wildlife Management, v. 74, no. 6, p. 1242-1249, https://doi.org/10.2193/2009-096.","startPage":"1242","endPage":"1249","numberOfPages":"8","costCenters":[],"links":[{"id":217139,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2009-096"},{"id":245058,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b73e4b0c8380cd62539","contributors":{"authors":[{"text":"Long, E.S.","contributorId":85305,"corporation":false,"usgs":true,"family":"Long","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":459614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":106592,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane R.","affiliations":[],"preferred":false,"id":459615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallingford, B.D.","contributorId":62726,"corporation":false,"usgs":true,"family":"Wallingford","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":459613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, C.S.","contributorId":22884,"corporation":false,"usgs":true,"family":"Rosenberry","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":459612,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037317,"text":"70037317 - 2010 - Sustained increase in food supplies reduces broodmate aggression in black-legged kittiwakes","interactions":[],"lastModifiedDate":"2020-11-03T15:32:57.565668","indexId":"70037317","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":770,"text":"Animal Behaviour","active":true,"publicationSubtype":{"id":10}},"title":"Sustained increase in food supplies reduces broodmate aggression in black-legged kittiwakes","docAbstract":"<p><span>The amount of food ingested by chicks has often been suggested as being the main proximate factor controlling broodmate aggression in facultatively siblicidal species. Although several experiments have demonstrated that short-term&nbsp;food deprivation&nbsp;causes a temporary increase in aggression, no study has, to our knowledge, experimentally manipulated overall food supplies and considered&nbsp;long-term effects&nbsp;on chick behaviour and life history traits. We provided supplemental food to breeding pairs of&nbsp;black-legged kittiwakes,&nbsp;</span><span><i>Rissa</i>&nbsp;tridactyla</span><span>, over an entire breeding season and compared the aggressive behaviour of their chicks with that of chicks of control pairs. Control A-chicks (first to hatch) showed more frequent and intense aggression than their experimental counterparts. Furthermore, the more A-chicks begged and the lower their growth rate the more aggressive they were. The consequences of increased aggression for B-chicks (second to hatch) were lower begging rate, lower growth rate and lower survival. We thus provide evidence that a sustained increase in food availability affects broodmate aggression and chick survival at the nest and we discuss the various proximate and ultimate causes involved in the evolution of broodmate aggression.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.anbehav.2010.02.003","usgsCitation":"White, J., Leclaire, S., Kriloff, M., Mulard, H., Hatch, S.A., and Danchin, E., 2010, Sustained increase in food supplies reduces broodmate aggression in black-legged kittiwakes: Animal Behaviour, v. 79, no. 5, p. 1095-1100, https://doi.org/10.1016/j.anbehav.2010.02.003.","productDescription":"6 p.","startPage":"1095","endPage":"1100","numberOfPages":"6","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":245289,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Middleton Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -146.41616821289062,\n              59.39442265678515\n            ],\n            [\n              -146.2451934814453,\n              59.39442265678515\n            ],\n            [\n              -146.2451934814453,\n              59.47543020423106\n            ],\n            [\n              -146.41616821289062,\n              59.47543020423106\n            ],\n            [\n              -146.41616821289062,\n              59.39442265678515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba321e4b08c986b31fbb3","contributors":{"authors":[{"text":"White, J.","contributorId":56355,"corporation":false,"usgs":true,"family":"White","given":"J.","affiliations":[],"preferred":false,"id":460444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leclaire, S.","contributorId":39591,"corporation":false,"usgs":true,"family":"Leclaire","given":"S.","email":"","affiliations":[],"preferred":false,"id":460443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kriloff, M.","contributorId":66942,"corporation":false,"usgs":true,"family":"Kriloff","given":"M.","email":"","affiliations":[],"preferred":false,"id":460446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mulard, Herve","contributorId":104602,"corporation":false,"usgs":false,"family":"Mulard","given":"Herve","email":"","affiliations":[],"preferred":false,"id":460448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":460445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Danchin, E.","contributorId":89635,"corporation":false,"usgs":true,"family":"Danchin","given":"E.","affiliations":[],"preferred":false,"id":460447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037318,"text":"70037318 - 2010 - Liana habitat and host preferences in northern temperate forests","interactions":[],"lastModifiedDate":"2013-06-24T09:34:42","indexId":"70037318","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Liana habitat and host preferences in northern temperate forests","docAbstract":"Lianas and other climbers are important ecological and structural components of forest communities. Like other plants, their abundance in a given habitat depends on a variety of factors, such as light, soil moisture and nutrients. However, since lianas require external support, host tree characteristics also influence their distribution. Lianas are conspicuous life forms in tropical regions, but in temperate areas, where they are less prominent, little is known about factors that control their distributions in these forests. We surveyed the climbing plant species in 20 mature (100 years and greater) forested habitats in the Midwest USA at a variety of levels from simple presence/absence, to ground layer abundances, to those species that had ascended trees. We also examined attributes of the tree species with climbers attached to them. Using cluster analysis, we distinguished five different tree communities in our survey locations. We determined that 25% of the trees we surveyed had one or more lianas attached to it, with Parthenocissus quinquefolia (Virginia creeper) the most common climbing species encountered. Canopy cover and soil attributes both influenced climber species presence/absence and ground layer climber abundance. The proportion of liana species of a given climbing type (roots, stem twiner, tendril climber) was significantly related to the DBH of the host tree, with more root climbers and fewer stem and tendril climbers on large trees. In general, the DBH of climbing lianas had a significant positive relationship to the DBH of the host tree; however this varied by the identity of the liana and the tree species. The greater the DBH of the host tree, the higher the probability that it was colonized by one or more lianas, with tree species such as Pinus banksiana (jack pine) and Quercus alba (white oak) being more susceptible to liana colonization than others. Finally, some liana species such as Celastrus scandens (American bittersweet) showed a preference for certain tree species (i.e., P. banksiana) as hosts. The information obtained about the relationship between the tree and climber community in this study provides insight into some of the factors that influence liana distributions in understudied temperate forest habitats and how lianas contribute to the structure of these mature forests. In addition, these data can provide a point of comparison to other liana communities in both temperate and tropical regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2010.07.045","issn":"03781127","usgsCitation":"Leicht-Young, S.A., Pavlovic, N., Frohnapple, K., and Grundel, R., 2010, Liana habitat and host preferences in northern temperate forests: Forest Ecology and Management, v. 260, no. 9, p. 1467-1477, https://doi.org/10.1016/j.foreco.2010.07.045.","productDescription":"11 p.","startPage":"1467","endPage":"1477","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217346,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2010.07.045"},{"id":245290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"260","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a474ae4b0c8380cd677fe","contributors":{"authors":[{"text":"Leicht-Young, S. A.","contributorId":41648,"corporation":false,"usgs":true,"family":"Leicht-Young","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavlovic, N.B.","contributorId":105076,"corporation":false,"usgs":true,"family":"Pavlovic","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":460452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnapple, K.J.","contributorId":13442,"corporation":false,"usgs":true,"family":"Frohnapple","given":"K.J.","affiliations":[],"preferred":false,"id":460449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grundel, R.","contributorId":37110,"corporation":false,"usgs":true,"family":"Grundel","given":"R.","affiliations":[],"preferred":false,"id":460450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037316,"text":"70037316 - 2010 - The impact of rare taxa on a fish index of biotic integrity","interactions":[],"lastModifiedDate":"2012-03-12T17:22:07","indexId":"70037316","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"The impact of rare taxa on a fish index of biotic integrity","docAbstract":"The index of biotic integrity (IBI) is a commonly used bioassessment tool that integrates abundance and richness measures to assess water quality. In developing IBIs that are both responsive to human disturbance and resistant to natural variability and sampling error, water managers must decide how to weigh information about rare and abundant taxa, which in turn requires an understanding of the sensitivity of indices to rare taxa. Herein, we investigated the influence of rare fish taxa (within the lower 5% of rank abundance curves) on IBI metric and total scores for stream sites in two of Minnesota's major river basins, the St. Croix (n = 293 site visits) and Upper Mississippi (n = 210 site visits). We artificially removed rare taxa from biological samples by (1) separately excluding each individual taxon that fell within the lower 5% of rank abundance curves; (2) simultaneously excluding all taxa that had an abundance of one (singletons) or two (doubletons); and (3) simultaneously excluding all taxa that fell within the lower 5% of rank abundance curves. We then compared IBI metric and total scores before and after removal of rare taxa using the normalized root mean square error (nRMSE) and regression analysis. The difference in IBI metric and total scores increased as more taxa were removed. Moreover, when multiple rare taxa were removed, the nRMSE was related to sample abundance and to total taxa richness, with greater nRMSE observed in samples with a larger number of taxa or sample abundance. Metrics based on relative abundance of fish taxa were less sensitive to the loss of rare taxa, whereas those based on taxa richness were more sensitive, because taxa richness metrics give more weight to rare taxa compared to the relative abundance metrics. ?? 2010 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolind.2009.12.006","issn":"1470160X","usgsCitation":"Wan, H., Chizinski, C., Dolph, C., Vondracek, B., and Wilson, B., 2010, The impact of rare taxa on a fish index of biotic integrity: Ecological Indicators, v. 10, no. 4, p. 781-788, https://doi.org/10.1016/j.ecolind.2009.12.006.","startPage":"781","endPage":"788","numberOfPages":"8","costCenters":[],"links":[{"id":475837,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11299/183649","text":"External Repository"},{"id":217320,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2009.12.006"},{"id":245258,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baceae4b08c986b32383b","contributors":{"authors":[{"text":"Wan, H.","contributorId":29246,"corporation":false,"usgs":true,"family":"Wan","given":"H.","email":"","affiliations":[],"preferred":false,"id":460438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, C.J.","contributorId":50635,"corporation":false,"usgs":true,"family":"Chizinski","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":460439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolph, C.L.","contributorId":58864,"corporation":false,"usgs":true,"family":"Dolph","given":"C.L.","affiliations":[],"preferred":false,"id":460440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vondracek, B.","contributorId":69930,"corporation":false,"usgs":true,"family":"Vondracek","given":"B.","affiliations":[],"preferred":false,"id":460441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, B.N.","contributorId":84192,"corporation":false,"usgs":true,"family":"Wilson","given":"B.N.","email":"","affiliations":[],"preferred":false,"id":460442,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}