{"pageNumber":"747","pageRowStart":"18650","pageSize":"25","recordCount":46883,"records":[{"id":70034610,"text":"70034610 - 2010 - On the composition of earth's short-period seismic noise field","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034610","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"On the composition of earth's short-period seismic noise field","docAbstract":"In the classic microseismic band of 5-20 sec, seismic noise consists mainly of fundamental mode Rayleigh and Love waves; however, at shorter periods seismic noise also contains a significant amount of body-wave energy and higher mode surface waves. In this study we perform a global survey of Earth's short-period seismic noise field with the goal of quantifying the relative contributions of these propagation modes. We examined a year's worth of vertical component data from 18 seismic arrays of the International Monitoring System that were sited in a variety of geologic environments. The apertures of the arrays varied from 2 to 28 km, constraining the periods we analyzed to 0.25-2.5 sec. Using frequency-wavenumber analysis we identified the apparent velocity for each sample of noise and classified its mode of propagation. The dominant component was found to be L<sub>g</sub>, occurring in about 50% of the noise windows. Because L<sub>g</sub> does not propagate across ocean-continent boundaries, this energy is most likely created in shallow water areas near coastlines. The next most common component was P-wave energy, which accounted for about 28% of the noise windows. These were split between regional P waves (P<sub>n</sub>=P<sub>g</sub> at 6%), mantle bottoming P waves (14%), and core-sensitive waves (PKP at 8%). This energy is mostly generated in deep water away from coastlines, with a region of the North Pacific centered at 165?? W and 40?? N being especially prolific. The remainder of the energy arriving in the noise consisted of R<sub>g</sub> waves (28%), a large fraction of which may have a cultural origin. Hence, in contrast to the classic micro-seismic band of 5-20 sec, at shorter periods fundamental mode Rayleigh waves are the least significant component.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090120","issn":"00371106","usgsCitation":"Koper, K., Seats, K., and Benz, H., 2010, On the composition of earth's short-period seismic noise field: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 606-617, https://doi.org/10.1785/0120090120.","startPage":"606","endPage":"617","numberOfPages":"12","costCenters":[],"links":[{"id":215862,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090120"},{"id":243694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","scienceBaseUri":"505a6dbfe4b0c8380cd752e0","contributors":{"authors":[{"text":"Koper, K.D.","contributorId":69798,"corporation":false,"usgs":true,"family":"Koper","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":446653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seats, K.","contributorId":70258,"corporation":false,"usgs":true,"family":"Seats","given":"K.","affiliations":[],"preferred":false,"id":446654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, H.","contributorId":61953,"corporation":false,"usgs":true,"family":"Benz","given":"H.","email":"","affiliations":[],"preferred":false,"id":446652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034637,"text":"70034637 - 2010 - Saturn's icy satellites investigated by Cassini-VIMS. II. Results at the end of nominal mission","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034637","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":"Saturn's icy satellites investigated by Cassini-VIMS. II. Results at the end of nominal mission","docAbstract":"We report the detailed analysis of the spectrophotometric properties of Saturn's icy satellites as derived by full-disk observations obtained by visual and infrared mapping spectrometer (VIMS) experiment aboard Cassini. In this paper, we have extended the coverage until the end of the Cassini's nominal mission (June 1st 2008), while a previous paper (Filacchione, G., and 28 colleagues [2007]. Icarus 186, 259-290, hereby referred to as Paper I) reported the preliminary results of this study. During the four years of nominal mission, VIMS has observed the entire population of Saturn's icy satellites allowing us to make a comparative analysis of the VIS-NIR spectral properties of the major satellites (Mimas, Enceladus, Tethys, Dione, Rhea, Hyperion, Iapetus) and irregular moons (Atlas, Prometheus, Pandora, Janus, Epimetheus, Telesto, Calypso, Phoebe). The results we discuss here are derived from the entire dataset available at June 2008 which consists of 1417 full-disk observations acquired from a variety of distances and inclinations from the equatorial plane, with different phase angles and hemispheric coverage. The most important spectrophotometric indicators (as defined in Paper I: I/F continua at 0.55 ??m, 1.822 ??m and 3.547 ??m, visible spectral slopes, water and carbon dioxide bands depths and positions) are calculated for each observation in order to investigate the disk-integrated composition of the satellites, the distribution of water ice respect to \"contaminants\" abundances and typical regolith grain properties. These quantities vary from the almost pure water ice surfaces of Enceladus and Calypso to the organic and carbon dioxide rich Hyperion, Iapetus and Phoebe. Janus visible colors are intermediate between these two classes having a slightly positive spectral slope. These results could help to decipher the origins and evolutionary history of the minor moons of the Saturn's system. We introduce a polar representation of the spectrophotometric parameters as function of the solar phase angle (along radial distance) and of the effective longitude interval illuminated by the Sun and covered by VIMS during the observation (in azimuth) to better investigate the spatial distribution of the spectrophotometric quantities across the regular satellites hemispheres. Finally, we report the observed spectral positions of the 4.26 ??m band of the carbon dioxide present in the surface material of three outermost moons Hyperion, Iapetus and Phoebe. ?? 2009 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2009.11.006","issn":"00191035","usgsCitation":"Filacchione, G., Capaccioni, F., Clark, R.N., Cuzzi, J., Cruikshank, D.P., Coradini, A., Cerroni, P., Nicholson, P.D., McCord, T.B., Brown, R.H., Buratti, B.J., Tosi, F., Nelson, R., Jaumann, R., and Stephan, K., 2010, Saturn's icy satellites investigated by Cassini-VIMS. II. Results at the end of nominal mission: Icarus, v. 206, no. 2, p. 507-523, https://doi.org/10.1016/j.icarus.2009.11.006.","startPage":"507","endPage":"523","numberOfPages":"17","costCenters":[],"links":[{"id":215778,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2009.11.006"},{"id":243603,"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":"505b86f8e4b08c986b31622b","contributors":{"authors":[{"text":"Filacchione, G.","contributorId":48740,"corporation":false,"usgs":true,"family":"Filacchione","given":"G.","affiliations":[],"preferred":false,"id":446804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capaccioni, F.","contributorId":90900,"corporation":false,"usgs":true,"family":"Capaccioni","given":"F.","email":"","affiliations":[],"preferred":false,"id":446811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":446797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cuzzi, J.N.","contributorId":53962,"corporation":false,"usgs":true,"family":"Cuzzi","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":446806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cruikshank, D. P.","contributorId":51434,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coradini, A.","contributorId":34679,"corporation":false,"usgs":true,"family":"Coradini","given":"A.","affiliations":[],"preferred":false,"id":446802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cerroni, P.","contributorId":7869,"corporation":false,"usgs":true,"family":"Cerroni","given":"P.","affiliations":[],"preferred":false,"id":446798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446807,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":446809,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446801,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446808,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tosi, F.","contributorId":9472,"corporation":false,"usgs":false,"family":"Tosi","given":"F.","email":"","affiliations":[{"id":34654,"text":"Istituto di Astrofisica e Planetologia Spaziali, INAF","active":true,"usgs":false}],"preferred":false,"id":446800,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nelson, R.M.","contributorId":38316,"corporation":false,"usgs":true,"family":"Nelson","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":446803,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":446810,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":446799,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70034665,"text":"70034665 - 2010 - Hyperspectral analysis of columbia spotted frog habitat","interactions":[],"lastModifiedDate":"2017-11-17T15:53:45","indexId":"70034665","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":"Hyperspectral analysis of columbia spotted frog habitat","docAbstract":"Wildlife managers increasingly are using remotely sensed imagery to improve habitat delineations and sampling strategies. Advances in remote sensing technology, such as hyperspectral imagery, provide more information than previously was available with multispectral sensors. We evaluated accuracy of high-resolution hyperspectral image classifications to identify wetlands and wetland habitat features important for Columbia spotted frogs (Rana luteiventris) and compared the results to multispectral image classification and United States Geological Survey topographic maps. The study area spanned 3 lake basins in the Salmon River Mountains, Idaho, USA. Hyperspectral data were collected with an airborne sensor on 30 June 2002 and on 8 July 2006. A 12-year comprehensive ground survey of the study area for Columbia spotted frog reproduction served as validation for image classifications. Hyperspectral image classification accuracy of wetlands was high, with a producer's accuracy of 96 (44 wetlands) correctly classified with the 2002 data and 89 (41 wetlands) correctly classified with the 2006 data. We applied habitat-based rules to delineate breeding habitat from other wetlands, and successfully predicted 74 (14 wetlands) of known breeding wetlands for the Columbia spotted frog. Emergent sedge microhabitat classification showed promise for directly predicting Columbia spotted frog egg mass locations within a wetland by correctly identifying 72 (23 of 32) of known locations. Our study indicates hyperspectral imagery can be an effective tool for mapping spotted frog breeding habitat in the selected mountain basins. We conclude that this technique has potential for improving site selection for inventory and monitoring programs conducted across similar wetland habitat and can be a useful tool for delineating wildlife habitats. ?? 2010 The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2008-534","issn":"0022541X","usgsCitation":"Shive, J., Pilliod, D., and Peterson, C., 2010, Hyperspectral analysis of columbia spotted frog habitat: Journal of Wildlife Management, v. 74, no. 6, p. 1387-1394, https://doi.org/10.2193/2008-534.","startPage":"1387","endPage":"1394","numberOfPages":"8","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":243515,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215694,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2008-534"}],"volume":"74","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a37b9e4b0c8380cd610e2","contributors":{"authors":[{"text":"Shive, J.P.","contributorId":85427,"corporation":false,"usgs":true,"family":"Shive","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":446940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, D. S.","contributorId":45259,"corporation":false,"usgs":false,"family":"Pilliod","given":"D. S.","affiliations":[],"preferred":false,"id":446939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, C.R.","contributorId":12823,"corporation":false,"usgs":true,"family":"Peterson","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":446938,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035205,"text":"70035205 - 2010 - Relevance of risk predictions derived from a chronic species sensitivity distribution with cadmium to aquatic populations and ecosystems","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70035205","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3300,"text":"Risk Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Relevance of risk predictions derived from a chronic species sensitivity distribution with cadmium to aquatic populations and ecosystems","docAbstract":"Criteria to protect aquatic life are intended to protect diverse ecosystems, but in practice are usually developed from compilations of single-species toxicity tests using standard test organisms that were tested in laboratory environments. Species sensitivity distributions (SSDs) developed from these compilations are extrapolated to set aquatic ecosystem criteria. The protectiveness of the approach was critically reviewed with a chronic SSD for cadmium comprising 27 species within 21 genera. Within the data set, one genus had lower cadmium effects concentrations than the SSD fifth percentile-based criterion, so in theory this genus, the amphipod Hyalella, could be lost or at least allowed some level of harm by this criteria approach. However, population matrix modeling projected only slightly increased extinction risks for a temperate Hyalella population under scenarios similar to the SSD fifth percentile criterion. The criterion value was further compared to cadmium effects concentrations in ecosystem experiments and field studies. Generally, few adverse effects were inferred from ecosystem experiments at concentrations less than the SSD fifth percentile criterion. Exceptions were behavioral impairments in simplified food web studies. No adverse effects were apparent in field studies under conditions that seldom exceeded the criterion. At concentrations greater than the SSD fifth percentile, the magnitudes of adverse effects in the field studies were roughly proportional to the laboratory-based fraction of species with adverse effects in the SSD. Overall, the modeling and field validation comparisons of the chronic criterion values generally supported the relevance and protectiveness of the SSD fifth percentile approach with cadmium. ?? 2009 Society for Risk Analysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Risk Analysis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1539-6924.2009.01275.x","issn":"02724332","usgsCitation":"Mebane, C., 2010, Relevance of risk predictions derived from a chronic species sensitivity distribution with cadmium to aquatic populations and ecosystems: Risk Analysis, v. 30, no. 2, p. 203-223, https://doi.org/10.1111/j.1539-6924.2009.01275.x.","startPage":"203","endPage":"223","numberOfPages":"21","costCenters":[],"links":[{"id":215275,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1539-6924.2009.01275.x"},{"id":243065,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa6b6e4b0c8380cd84fe5","contributors":{"authors":[{"text":"Mebane, C.A.","contributorId":84134,"corporation":false,"usgs":true,"family":"Mebane","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":449719,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035208,"text":"70035208 - 2010 - Earth system sensitivity inferred from Pliocene modelling and data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035208","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Earth system sensitivity inferred from Pliocene modelling and data","docAbstract":"Quantifying the equilibrium response of global temperatures to an increase in atmospheric carbon dioxide concentrations is one of the cornerstones of climate research. Components of the Earths climate system that vary over long timescales, such as ice sheets and vegetation, could have an important effect on this temperature sensitivity, but have often been neglected. Here we use a coupled atmosphere-ocean general circulation model to simulate the climate of the mid-Pliocene warm period (about three million years ago), and analyse the forcings and feedbacks that contributed to the relatively warm temperatures. Furthermore, we compare our simulation with proxy records of mid-Pliocene sea surface temperature. Taking these lines of evidence together, we estimate that the response of the Earth system to elevated atmospheric carbon dioxide concentrations is 30-50% greater than the response based on those fast-adjusting components of the climate system that are used traditionally to estimate climate sensitivity. We conclude that targets for the long-term stabilization of atmospheric greenhouse-gas concentrations aimed at preventing a dangerous human interference with the climate system should take into account this higher sensitivity of the Earth system. ?? 2010 Macmillan Publishers Limited. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1038/ngeo706","issn":"17520894","usgsCitation":"Lunt, D., Haywood, A., Schmidt, G., Salzmann, U., Valdes, P., and Dowsett, H., 2010, Earth system sensitivity inferred from Pliocene modelling and data: Nature Geoscience, v. 3, no. 1, p. 60-64, https://doi.org/10.1038/ngeo706.","startPage":"60","endPage":"64","numberOfPages":"5","costCenters":[],"links":[{"id":215303,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo706"},{"id":243098,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-06","publicationStatus":"PW","scienceBaseUri":"505a049ce4b0c8380cd50aa7","contributors":{"authors":[{"text":"Lunt, D.J.","contributorId":105127,"corporation":false,"usgs":true,"family":"Lunt","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":449734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haywood, A.M.","contributorId":101050,"corporation":false,"usgs":true,"family":"Haywood","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":449733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, G.A.","contributorId":31595,"corporation":false,"usgs":true,"family":"Schmidt","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":449729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salzmann, U.","contributorId":95711,"corporation":false,"usgs":true,"family":"Salzmann","given":"U.","email":"","affiliations":[],"preferred":false,"id":449732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdes, P.J.","contributorId":77331,"corporation":false,"usgs":true,"family":"Valdes","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":449730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, H.J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":87924,"corporation":false,"usgs":true,"family":"Dowsett","given":"H.J.","affiliations":[],"preferred":false,"id":449731,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035296,"text":"70035296 - 2010 - A spatial resolution threshold of land cover in estimating terrestrial carbon sequestration in four counties in Georgia and Alabama, USA","interactions":[],"lastModifiedDate":"2013-06-17T13:17:39","indexId":"70035296","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"A spatial resolution threshold of land cover in estimating terrestrial carbon sequestration in four counties in Georgia and Alabama, USA","docAbstract":"Changes in carbon density (i.e., carbon stock per unit area) and land cover greatly affect carbon sequestration. Previous studies have shown that land cover change detection strongly depends on spatial scale. However, the influence of the spatial resolution of land cover change information on the estimated terrestrial carbon sequestration is not known. Here, we quantified and evaluated the impact of land cover change databases at various spatial resolutions (250 m, 500 m, 1 km, 2 km, and 4 km) on the magnitude and spatial patterns of regional carbon sequestration in four counties in Georgia and Alabama using the General Ensemble biogeochemical Modeling System (GEMS). Results indicated a threshold of 1 km in the land cover change databases and in the estimated regional terrestrial carbon sequestration. Beyond this threshold, significant biases occurred in the estimation of terrestrial carbon sequestration, its interannual variability, and spatial patterns. In addition, the overriding impact of interannual climate variability on the temporal change of regional carbon sequestration was unrealistically overshadowed by the impact of land cover change beyond the threshold. The implications of these findings directly challenge current continental- to global-scale carbon modeling efforts relying on information at coarse spatial resolution without incorporating fine-scale land cover dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-7-71-2010","issn":"17264170","usgsCitation":"Zhao, S., Liu, S., Li, Z., and Sohl, T.L., 2010, A spatial resolution threshold of land cover in estimating terrestrial carbon sequestration in four counties in Georgia and Alabama, USA: Biogeosciences, v. 7, no. 1, p. 71-80, https://doi.org/10.5194/bg-7-71-2010.","productDescription":"10 p.","startPage":"71","endPage":"80","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475874,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-7-71-2010","text":"Publisher Index Page"},{"id":266036,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-7-71-2010"},{"id":242937,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama;Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.5,30.2 ], [ -88.5,35.0 ], [ -80.8,35.0 ], [ -80.8,30.2 ], [ -88.5,30.2 ] ] ] } } ] }","volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-07","publicationStatus":"PW","scienceBaseUri":"5059e5a2e4b0c8380cd46eb0","contributors":{"authors":[{"text":"Zhao, S.Q.","contributorId":63235,"corporation":false,"usgs":true,"family":"Zhao","given":"S.Q.","email":"","affiliations":[],"preferred":false,"id":450064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":450066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Z.","contributorId":29160,"corporation":false,"usgs":true,"family":"Li","given":"Z.","affiliations":[],"preferred":false,"id":450063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sohl, Terry L. 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":76419,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":450065,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035302,"text":"70035302 - 2010 - Environmental controls on drainage behavior of an ephemeral stream","interactions":[],"lastModifiedDate":"2018-04-02T15:24:40","indexId":"70035302","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3478,"text":"Stochastic Environmental Research and Risk Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Environmental controls on drainage behavior of an ephemeral stream","docAbstract":"Streambed drainage was measured at the cessation of 26 ephemeral streamflow events in Rillito Creek, Tucson, Arizona from August 2000 to June 2002 using buried time domain reflectometry (TDR) probes. An unusual drainage response was identified, which was characterized by sharp drainage from saturation to near field capacity at each depth with an increased delay between depths. We simulated the drainage response using a variably saturated numerical flow model representing a two-layer system with a high permeability layer overlying a lower permeability layer. Both the observed data and the numerical simulation show a strong correlation between the drainage velocity and the temperature of the stream water. A linear combination of temperature and the no-flow period preceding flow explained about 90% of the measured variations in drainage velocity. Evaluation of this correlative relationship with the one-dimensional numerical flow model showed that the observed temperature fluctuations could not reproduce the magnitude of variation in the observed drainage velocity. Instead, the model results indicated that flow duration exerts the most control on drainage velocity, with the drainage velocity decreasing nonlinearly with increasing flow duration. These findings suggest flow duration is a primary control of water availability for plant uptake in near surface sediments of an ephemeral stream, an important finding for estimating the ecological risk of natural or engineered changes to streamflow patterns. Correlative analyses of soil moisture data, although easy and widely used, can result in erroneous conclusions of hydrologic cause—effect relationships, and demonstrating the need for joint physically-based numerical modeling and data synthesis for hypothesis testing to support quantitative risk analysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stochastic Environmental Research and Risk Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"http://www.springer.com","doi":"10.1007/s00477-010-0398-8","issn":"14363240","usgsCitation":"Blasch, K., Ferre, T., and Vrugt, J., 2010, Environmental controls on drainage behavior of an ephemeral stream: Stochastic Environmental Research and Risk Assessment, v. 24, no. 7, p. 1077-1087, https://doi.org/10.1007/s00477-010-0398-8.","productDescription":"11 p.","startPage":"1077","endPage":"1087","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":243041,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215251,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00477-010-0398-8"}],"country":"United States","state":"Arizona","city":"Tucson","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0594,31.9917 ], [ -111.0594,32.3202 ], [ -110.7082,32.3202 ], [ -110.7082,31.9917 ], [ -111.0594,31.9917 ] ] ] } } ] }","volume":"24","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-04-27","publicationStatus":"PW","scienceBaseUri":"505a09b5e4b0c8380cd5201f","contributors":{"authors":[{"text":"Blasch, K.W.","contributorId":29877,"corporation":false,"usgs":true,"family":"Blasch","given":"K.W.","affiliations":[],"preferred":false,"id":450088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferre, T.P.A.","contributorId":196167,"corporation":false,"usgs":false,"family":"Ferre","given":"T.P.A.","email":"","affiliations":[],"preferred":false,"id":450089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrugt, J.A.","contributorId":77378,"corporation":false,"usgs":true,"family":"Vrugt","given":"J.A.","affiliations":[],"preferred":false,"id":450090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035357,"text":"70035357 - 2010 - A century of climate and ecosystem change in Western Montana: What do temperature trends portend?","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035357","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"A century of climate and ecosystem change in Western Montana: What do temperature trends portend?","docAbstract":"The physical science linking human-induced increases in greenhouse gasses to the warming of the global climate system is well established, but the implications of this warming for ecosystem processes and services at regional scales is still poorly understood. Thus, the objectives of this work were to: (1) describe rates of change in temperature averages and extremes for western Montana, a region containing sensitive resources and ecosystems, (2) investigate associations between Montana temperature change to hemispheric and global temperature change, (3) provide climate analysis tools for land and resource managers responsible for researching and maintaining renewable resources, habitat, and threatened/endangered species and (4) integrate our findings into a more general assessment of climate impacts on ecosystem processes and services over the past century. Over 100 years of daily and monthly temperature data collected in western Montana, USA are analyzed for long-term changes in seasonal averages and daily extremes. In particular, variability and trends in temperature above or below ecologically and socially meaningful thresholds within this region (e.g., -17.8??C (0??F), 0??C (32??F), and 32.2??C (90??F)) are assessed. The daily temperature time series reveal extremely cold days (??? -17.8??C) terminate on average 20 days earlier and decline in number, whereas extremely hot days (???32??C) show a three-fold increase in number and a 24-day increase in seasonal window during which they occur. Results show that regionally important thresholds have been exceeded, the most recent of which include the timing and number of the 0??C freeze/thaw temperatures during spring and fall. Finally, we close with a discussion on the implications for Montana's ecosystems. Special attention is given to critical processes that respond non-linearly as temperatures exceed critical thresholds, and have positive feedbacks that amplify the changes. ?? Springer Science + Business Media B.V. 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10584-009-9642-y","issn":"01650009","usgsCitation":"Pederson, G., Graumlich, L., Fagre, D., Kipfer, T., and Muhlfeld, C., 2010, A century of climate and ecosystem change in Western Montana: What do temperature trends portend?: Climatic Change, v. 98, no. 1-2, p. 133-154, https://doi.org/10.1007/s10584-009-9642-y.","startPage":"133","endPage":"154","numberOfPages":"22","costCenters":[],"links":[{"id":215552,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-009-9642-y"},{"id":243364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2009-08-21","publicationStatus":"PW","scienceBaseUri":"5059e33de4b0c8380cd45ed1","contributors":{"authors":[{"text":"Pederson, G.T.","contributorId":19353,"corporation":false,"usgs":true,"family":"Pederson","given":"G.T.","email":"","affiliations":[],"preferred":false,"id":450308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graumlich, L.J.","contributorId":30417,"corporation":false,"usgs":true,"family":"Graumlich","given":"L.J.","affiliations":[],"preferred":false,"id":450309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagre, D.B.","contributorId":52135,"corporation":false,"usgs":true,"family":"Fagre","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":450310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kipfer, T.","contributorId":59646,"corporation":false,"usgs":true,"family":"Kipfer","given":"T.","email":"","affiliations":[],"preferred":false,"id":450311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muhlfeld, C.C.","contributorId":97850,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"C.C.","affiliations":[],"preferred":false,"id":450312,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035359,"text":"70035359 - 2010 - Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model","interactions":[],"lastModifiedDate":"2013-05-14T10:49:54","indexId":"70035359","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model","docAbstract":"The Integrated Biosphere Simulator is used to evaluate the spatial and temporal patterns of the crucial hydrological variables [run-off and actual evapotranspiration (AET)] of the water balance across China for the period 1951–2006 including a precipitation analysis. Results suggest three major findings. First, simulated run-off captured 85% of the spatial variability and 80% of the temporal variability for 85 hydrological gauges across China. The mean relative errors were within 20% for 66% of the studied stations and within 30% for 86% of the stations. The Nash–Sutcliffe coefficients indicated that the quantity pattern of run-off was also captured acceptably except for some watersheds in southwestern and northwestern China. The possible reasons for underestimation of run-off in the Tibetan plateau include underestimation of precipitation and uncertainties in other meteorological data due to complex topography, and simplified representations of the soil depth attribute and snow processes in the model. Second, simulated AET matched reasonably with estimated values calculated as the residual of precipitation and run-off for watersheds controlled by the hydrological gauges. Finally, trend analysis based on the Mann–Kendall method indicated that significant increasing and decreasing patterns in precipitation appeared in the northwest part of China and the Yellow River region, respectively. Significant increasing and decreasing trends in AET were detected in the Southwest region and the Yangtze River region, respectively. In addition, the Southwest region, northern China (including the Heilongjiang, Liaohe, and Haihe Basins), and the Yellow River Basin showed significant decreasing trends in run-off, and the Zhemin hydrological region showed a significant increasing trend.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.7496","issn":"08856087","usgsCitation":"Zhu, Q., Jiang, H., Liu, J., Wei, X., Peng, C., Fang, X., Liu, S., Zhou, G., Yu, S., and Ju, W., 2010, Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model: Hydrological Processes, v. 24, no. 4, p. 429-445, https://doi.org/10.1002/hyp.7496.","productDescription":"17 p.","startPage":"429","endPage":"445","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215101,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7496"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-11-10","publicationStatus":"PW","scienceBaseUri":"505a0c00e4b0c8380cd529bf","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":450325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":450323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":450318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":450321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":450322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":450320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":450324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":450317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":450319,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ju, W.","contributorId":10627,"corporation":false,"usgs":true,"family":"Ju","given":"W.","email":"","affiliations":[],"preferred":false,"id":450316,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70035517,"text":"70035517 - 2010 - Estimating length of avian incubation and nestling stages in afrotropical forest birds from interval-censored nest records","interactions":[],"lastModifiedDate":"2017-05-07T11:54:14","indexId":"70035517","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Estimating length of avian incubation and nestling stages in afrotropical forest birds from interval-censored nest records","docAbstract":"In the East Usambara Mountains in northeast Tanzania, research on the effects of forest fragmentation and disturbance on nest survival in understory birds resulted in the accumulation of 1,002 nest records between 2003 and 2008 for 8 poorly studied species. Because information on the length of the incubation and nestling stages in these species is nonexistent or sparse, our objectives in this study were (1) to estimate the length of the incubation and nestling stage and (2) to compute nest survival using these estimates in combination with calculated daily survival probability. Because our data were interval censored, we developed and applied two new statistical methods to estimate stage length. In the 8 species studied, the incubation stage lasted 9.6-21.8 days and the nestling stage 13.9-21.2 days. Combining these results with estimates of daily survival probability, we found that nest survival ranged from 6.0% to 12.5%. We conclude that our methodology for estimating stage lengths from interval-censored nest records is a reasonable and practical approach in the presence of interval-censored data. ?? 2010 The American Ornithologists' Union.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2009.09140","issn":"00048038","usgsCitation":"Stanley, T., and Newmark, W., 2010, Estimating length of avian incubation and nestling stages in afrotropical forest birds from interval-censored nest records: The Auk, v. 127, no. 1, p. 79-85, https://doi.org/10.1525/auk.2009.09140.","productDescription":"7 p.","startPage":"79","endPage":"85","costCenters":[],"links":[{"id":475947,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2009.09140","text":"Publisher Index Page"},{"id":244351,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b27e4b0c8380cd525cd","contributors":{"authors":[{"text":"Stanley, T.R.","contributorId":61379,"corporation":false,"usgs":true,"family":"Stanley","given":"T.R.","affiliations":[],"preferred":false,"id":451048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newmark, W.D.","contributorId":100644,"corporation":false,"usgs":true,"family":"Newmark","given":"W.D.","email":"","affiliations":[],"preferred":false,"id":451049,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035550,"text":"70035550 - 2010 - Ensemble habitat mapping of invasive plant species","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70035550","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3300,"text":"Risk Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble habitat mapping of invasive plant species","docAbstract":"Ensemble species distribution models combine the strengths of several species environmental matching models, while minimizing the weakness of any one model. Ensemble models may be particularly useful in risk analysis of recently arrived, harmful invasive species because species may not yet have spread to all suitable habitats, leaving species-environment relationships difficult to determine. We tested five individual models (logistic regression, boosted regression trees, random forest, multivariate adaptive regression splines (MARS), and maximum entropy model or Maxent) and ensemble modeling for selected nonnative plant species in Yellowstone and Grand Teton National Parks, Wyoming; Sequoia and Kings Canyon National Parks, California, and areas of interior Alaska. The models are based on field data provided by the park staffs, combined with topographic, climatic, and vegetation predictors derived from satellite data. For the four invasive plant species tested, ensemble models were the only models that ranked in the top three models for both field validation and test data. Ensemble models may be more robust than individual species-environment matching models for risk analysis. ?? 2010 Society for Risk Analysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Risk Analysis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1539-6924.2009.01343.x","issn":"02724332","usgsCitation":"Stohlgren, T., Ma, P., Kumar, S., Rocca, M., Morisette, J., Jarnevich, C., and Benson, N., 2010, Ensemble habitat mapping of invasive plant species: Risk Analysis, v. 30, no. 2, p. 224-235, https://doi.org/10.1111/j.1539-6924.2009.01343.x.","startPage":"224","endPage":"235","numberOfPages":"12","costCenters":[],"links":[{"id":475842,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1539-6924.2009.01343.x","text":"Publisher Index Page"},{"id":216505,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1539-6924.2009.01343.x"},{"id":244382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a097ee4b0c8380cd51f3d","contributors":{"authors":[{"text":"Stohlgren, T.J.","contributorId":7217,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":451195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, P.","contributorId":53194,"corporation":false,"usgs":true,"family":"Ma","given":"P.","email":"","affiliations":[],"preferred":false,"id":451197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, S.","contributorId":89843,"corporation":false,"usgs":true,"family":"Kumar","given":"S.","affiliations":[],"preferred":false,"id":451200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocca, M.","contributorId":95300,"corporation":false,"usgs":true,"family":"Rocca","given":"M.","email":"","affiliations":[],"preferred":false,"id":451201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morisette, J.T.","contributorId":57029,"corporation":false,"usgs":true,"family":"Morisette","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":451199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, C. S.","contributorId":54932,"corporation":false,"usgs":true,"family":"Jarnevich","given":"C. S.","affiliations":[],"preferred":false,"id":451198,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benson, N.","contributorId":38238,"corporation":false,"usgs":true,"family":"Benson","given":"N.","affiliations":[],"preferred":false,"id":451196,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035588,"text":"70035588 - 2010 - Spatial distribution of pingos in Northern Asia","interactions":[],"lastModifiedDate":"2018-06-16T18:01:06","indexId":"70035588","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1350,"text":"Cryosphere Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution of pingos in Northern Asia","docAbstract":"Pingos are prominent periglacial landforms in vast regions of the Arctic and Subarctic. They are indicators of modern and past conditions of permafrost, surface geology, hydrology and climate. A first version of a detailed spatial geodatabase of more than 6000 pingo locations in a 3.5 ?? 106 km2 region of Northern Asia was assembled from topographic maps. A first order analysis was carried out with respect to permafrost, landscape characteristics, surface geology, hydrology, climate, and elevation datasets using a Geographic Information System (GIS). Pingo heights in the dataset vary between 2 and 37 m, with a mean height of 4.8 m. About 64% of the pingos occur in continuous permafrost with high ice content and thick sediments; another 19% in continuous permafrost with moderate ice content and thick sediments. The majority of these pingos likely formed through closed system freezing, typical of those located in drained thermokarst lake basins of northern lowlands with continuous permafrost. About 82% of the pingos are located in the tundra bioclimatic zone. Most pingos in the dataset are located in regions with mean annual ground temperatures between -3 and -11 ??C and mean annual air temperatures between -7 and -18 ??C. The dataset confirms that surface geology and hydrology are key factors for pingo formation and occurrence. Based on model predictions for near-future permafrost distribution, hundreds of pingos along the southern margins of permafrost will be located in regions with thawing permafrost by 2100, which ultimately may lead to increased occurrence of pingo collapse. Based on our dataset and previously published estimates of pingo numbers from other regions, we conclude that there are more than 11 000 pingos on Earth. ?? 2010 Author(s).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Cryosphere Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.5194/tcd-4-1781-2010","issn":"19940432","usgsCitation":"Grosse, G., and Jones, B.M., 2010, Spatial distribution of pingos in Northern Asia: Cryosphere Discussions, v. 4, no. 3, p. 1781-1837, https://doi.org/10.5194/tcd-4-1781-2010.","startPage":"1781","endPage":"1837","numberOfPages":"57","costCenters":[],"links":[{"id":487785,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tcd-4-1781-2010","text":"Publisher Index Page"},{"id":243881,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216042,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/tcd-4-1781-2010"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b946fe4b08c986b31aaa5","contributors":{"authors":[{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":451351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":451350,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036159,"text":"70036159 - 2010 - Accuracy of gap analysis habitat models in predicting physical features for wildlife-habitat associations in the southwest U.S.","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70036159","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of gap analysis habitat models in predicting physical features for wildlife-habitat associations in the southwest U.S.","docAbstract":"Despite widespread and long-standing efforts to model wildlife-habitat associations using remotely sensed and other spatially explicit data, there are relatively few evaluations of the performance of variables included in predictive models relative to actual features on the landscape. As part of the National Gap Analysis Program, we specifically examined physical site features at randomly selected sample locations in the Southwestern U.S. to assess degree of concordance with predicted features used in modeling vertebrate habitat distribution. Our analysis considered hypotheses about relative accuracy with respect to 30 vertebrate species selected to represent the spectrum of habitat generalist to specialist and categorization of site by relative degree of conservation emphasis accorded to the site. Overall comparison of 19 variables observed at 382 sample sites indicated ???60% concordance for 12 variables. Directly measured or observed variables (slope, soil composition, rock outcrop) generally displayed high concordance, while variables that required judgments regarding descriptive categories (aspect, ecological system, landform) were less concordant. There were no differences detected in concordance among taxa groups, degree of specialization or generalization of selected taxa, or land conservation categorization of sample sites with respect to all sites. We found no support for the hypothesis that accuracy of habitat models is inversely related to degree of taxa specialization when model features for a habitat specialist could be more difficult to represent spatially. Likewise, we did not find support for the hypothesis that physical features will be predicted with higher accuracy on lands with greater dedication to biodiversity conservation than on other lands because of relative differences regarding available information. Accuracy generally was similar (>60%) to that observed for land cover mapping at the ecological system level. These patterns demonstrate resilience of gap analysis deductive model processes to the type of remotely sensed or interpreted data used in habitat feature predictions. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2010.08.034","issn":"03043800","usgsCitation":"Boykin, K., Thompson, B., and Propeck-Gray, S., 2010, Accuracy of gap analysis habitat models in predicting physical features for wildlife-habitat associations in the southwest U.S.: Ecological Modelling, v. 221, no. 23, p. 2769-2775, https://doi.org/10.1016/j.ecolmodel.2010.08.034.","startPage":"2769","endPage":"2775","numberOfPages":"7","costCenters":[],"links":[{"id":246205,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218216,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2010.08.034"}],"volume":"221","issue":"23","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e68ae4b0c8380cd474a6","contributors":{"authors":[{"text":"Boykin, K.G.","contributorId":62797,"corporation":false,"usgs":true,"family":"Boykin","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":454498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, B.C.","contributorId":102433,"corporation":false,"usgs":true,"family":"Thompson","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":454499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Propeck-Gray, S.","contributorId":24609,"corporation":false,"usgs":true,"family":"Propeck-Gray","given":"S.","email":"","affiliations":[],"preferred":false,"id":454497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036184,"text":"70036184 - 2010 - Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites","interactions":[],"lastModifiedDate":"2013-05-12T21:39:11","indexId":"70036184","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites","docAbstract":"Establishing satellite measurement consistency by using common desert sites has become increasingly more important not only for climate change detection but also for quantitative retrievals of geophysical variables in satellite applications. Using the Antarctic Dome C site (75°06′S, 123°21′E, elevation 3.2 km) for satellite radiometric calibration and validation (Cal/Val) is of great interest owing to its unique location and characteristics. The site surface is covered with uniformly distributed permanent snow, and the atmospheric effect is small and relatively constant. In this study, the long-term stability and spectral characteristics of this site are evaluated using well-calibrated satellite instruments such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Preliminary results show that despite a few limitations, the site in general is stable in the long term, the bidirectional reflectance distribution function (BRDF) model works well, and the site is most suitable for the Cal/Val of reflective solar bands in the 0.4–1.0 µm range. It was found that for the past decade, the reflectivity change of the site is within 1.35% at 0.64 µm, and interannual variability is within 2%. The site is able to resolve calibration biases between instruments at a level of ~1%. The usefulness of the site is demonstrated by comparing observations from seven satellite instruments involving four space agencies, including OrbView-2–SeaWiFS, Terra–Aqua MODIS, Earth Observing 1 (EO-1) – Hyperion, Meteorological Operational satellite programme (MetOp) – Advanced Very High Resolution Radiometer (AVHRR), Envisat Medium Resolution Imaging Spectrometer (MERIS) – dvanced Along-Track Scanning Radiometer (AATSR), and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Dome C is a promising candidate site for climate quality calibration of satellite radiometers towards more consistent satellite measurements, as part of the framework for climate change detection and data quality assurance for the Global Earth Observation System of Systems (GEOSS).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Remote Sensing Society","doi":"10.5589/m10-075","issn":"07038992","usgsCitation":"Cao, C., Uprety, S., Xiong, J., Wu, A., Jing, P., Smith, D., Chander, G., Fox, N., and Ungar, S., 2010, Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites: Canadian Journal of Remote Sensing, v. 36, no. 5, p. 498-513, https://doi.org/10.5589/m10-075.","productDescription":"16 p.","startPage":"498","endPage":"513","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":218572,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5589/m10-075"},{"id":246595,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"505a0a64e4b0c8380cd52338","contributors":{"authors":[{"text":"Cao, C.","contributorId":37944,"corporation":false,"usgs":true,"family":"Cao","given":"C.","email":"","affiliations":[],"preferred":false,"id":454680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uprety, S.","contributorId":65345,"corporation":false,"usgs":true,"family":"Uprety","given":"S.","affiliations":[],"preferred":false,"id":454686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, J.","contributorId":58472,"corporation":false,"usgs":true,"family":"Xiong","given":"J.","email":"","affiliations":[],"preferred":false,"id":454684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, A.","contributorId":44019,"corporation":false,"usgs":true,"family":"Wu","given":"A.","email":"","affiliations":[],"preferred":false,"id":454682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jing, P.","contributorId":38859,"corporation":false,"usgs":true,"family":"Jing","given":"P.","email":"","affiliations":[],"preferred":false,"id":454681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, D.","contributorId":60978,"corporation":false,"usgs":true,"family":"Smith","given":"D.","affiliations":[],"preferred":false,"id":454685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":454683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, N.","contributorId":90905,"corporation":false,"usgs":true,"family":"Fox","given":"N.","email":"","affiliations":[],"preferred":false,"id":454687,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ungar, S.","contributorId":15413,"corporation":false,"usgs":true,"family":"Ungar","given":"S.","affiliations":[],"preferred":false,"id":454679,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70036205,"text":"70036205 - 2010 - Teaching citizen science skills online: Implications for invasive species training programs","interactions":[],"lastModifiedDate":"2012-03-12T17:22:05","indexId":"70036205","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":834,"text":"Applied Environmental Education and Communication","active":true,"publicationSubtype":{"id":10}},"title":"Teaching citizen science skills online: Implications for invasive species training programs","docAbstract":"Citizen science programs are emerging as an efficient way to increase data collection and help monitor invasive species. Effective invasive species monitoring requires rigid data quality assurances if expensive control efforts are to be guided by volunteer data. To achieve data quality, effective online training is needed to improve field skills and reach large numbers of remote sentinel volunteers critical to early detection and rapid response. The authors evaluated the effectiveness of online static and multimedia tutorials to teach citizen science volunteers (n = 54) how to identify invasive plants; establish monitoring plots; measure percent cover; and use Global Positioning System (GPS) units. Participants trained using static and multimedia tutorials provided less (p <.001) correct species identifications (63% and 67%) than did professionals (83%) across all species, but they did not differ (p =.125) between each other. However, their ability to identify conspicuous species was comparable to that of professionals. The variability in percent plant cover estimates between static (??10%) and multimedia (??13%) participants did not differ (p =.86 and.08, respectively) from those of professionals (??9%). Trained volunteers struggled with plot setup and GPS skills. Overall, the online approach used did not influence conferred field skills and abilities. Traditional or multimedia online training augmented with more rigorous, repeated, and hands-on, in-person training in specialized skills required for more difficult tasks will likely improve volunteer abilities, data quality, and overall program effectiveness. ?? Taylor & Francis Group, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Environmental Education and Communication","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/1533015X.2010.530896","issn":"1533015X","usgsCitation":"Newman, G., Crall, A., Laituri, M., Graham, J., Stohlgren, T., Moore, J., Kodrich, K., and Holfelder, K., 2010, Teaching citizen science skills online: Implications for invasive species training programs: Applied Environmental Education and Communication, v. 9, no. 4, p. 276-286, https://doi.org/10.1080/1533015X.2010.530896.","startPage":"276","endPage":"286","numberOfPages":"11","costCenters":[],"links":[{"id":246468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218458,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/1533015X.2010.530896"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba3f8e4b08c986b320005","contributors":{"authors":[{"text":"Newman, G.","contributorId":107657,"corporation":false,"usgs":true,"family":"Newman","given":"G.","email":"","affiliations":[],"preferred":false,"id":454877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crall, A.","contributorId":60064,"corporation":false,"usgs":true,"family":"Crall","given":"A.","email":"","affiliations":[],"preferred":false,"id":454873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laituri, M.","contributorId":24208,"corporation":false,"usgs":true,"family":"Laituri","given":"M.","affiliations":[],"preferred":false,"id":454870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, J.","contributorId":73826,"corporation":false,"usgs":true,"family":"Graham","given":"J.","email":"","affiliations":[],"preferred":false,"id":454874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stohlgren, T.","contributorId":40766,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.","affiliations":[],"preferred":false,"id":454871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, J.C.","contributorId":95141,"corporation":false,"usgs":true,"family":"Moore","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":454876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kodrich, K.","contributorId":75366,"corporation":false,"usgs":true,"family":"Kodrich","given":"K.","email":"","affiliations":[],"preferred":false,"id":454875,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holfelder, K.A.","contributorId":50391,"corporation":false,"usgs":true,"family":"Holfelder","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":454872,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70036207,"text":"70036207 - 2010 - Identifying regions of strong scattering at the core-mantle boundary from analysis of PKKP precursor energy","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036207","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Identifying regions of strong scattering at the core-mantle boundary from analysis of PKKP precursor energy","docAbstract":"We detect seismic scattering from the core-mantle boundary related to the phase PKKP (PK. KP) in data from small aperture seismic arrays in India and Canada. The detection of these scattered waves in data from small aperture arrays is new and allows a better characterization of the fine-scale structure of the deep Earth especially in the southern hemisphere. Their slowness vector is determined from array processing allowing location of the heterogeneities at the core-mantle boundary using back-projection techniques through 1D Earth models. We identify strong scattering at the core-mantle boundary (CMB) beneath the Caribbean, Patagonia and the Antarctic Peninsula as well as beneath southern Africa. An analysis of the scattering regions relative to sources and receivers indicates that these regions represent areas of increased scattering likely due to increased heterogeneities close to the CMB. The 1. Hz array data used in this study is most sensitive to heterogeneity with scale lengths of about 10. km. Given the small size of the scatterers, a chemical origin of the heterogeneities is likely. By comparing the location of the fine-scale heterogeneity to geodynamical models and tomographic images, we identify different scattering mechanisms in regions related to subduction (Caribbean and Patagonia) and dense thermo chemical piles (Southern Africa). ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.epsl.2010.07.014","issn":"0012821X","usgsCitation":"Rost, S., and Earle, P., 2010, Identifying regions of strong scattering at the core-mantle boundary from analysis of PKKP precursor energy: Earth and Planetary Science Letters, v. 297, no. 3-4, p. 616-626, https://doi.org/10.1016/j.epsl.2010.07.014.","startPage":"616","endPage":"626","numberOfPages":"11","costCenters":[],"links":[{"id":246502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218486,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2010.07.014"}],"volume":"297","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3854e4b0c8380cd61521","contributors":{"authors":[{"text":"Rost, S.","contributorId":90579,"corporation":false,"usgs":true,"family":"Rost","given":"S.","email":"","affiliations":[],"preferred":false,"id":454881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Earle, P.S.","contributorId":17011,"corporation":false,"usgs":true,"family":"Earle","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":454880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036232,"text":"70036232 - 2010 - Habitat suitability and conservation of the Giant Gartersnake (Thamnophis gigas) in the Sacramento Valley of California","interactions":[],"lastModifiedDate":"2017-11-18T12:33:46","indexId":"70036232","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Habitat suitability and conservation of the Giant Gartersnake (Thamnophis gigas) in the Sacramento Valley of California","docAbstract":"Resource managers often have little information regarding the habitat requirements and distribution of rare species. Factor analysis-based habitat suitability models describe the ecological niche of a species and identify locations where these conditions occur on the landscape using existing occurrence data. We used factor analyses to assess the suitability of habitats for Thamnophis gigas (Giant Gartersnake), a rare, threatened species endemic to the Central Valley of California, USA, and to map the locations of habitat suitable for T. gigas in the Sacramento Valley. Factor analyses indicated that the niche of T. gigas is composed of sites near rice agriculture with low stream densities. Sites with high canal densities and near wetlands also appeared suitable, but results for these variables were sensitive to potential sampling bias. In the Sacramento Valley, suitable habitats occur primarily in the central portion of the valley floor. Based upon the results of the factor analyses, recovery planning for T. gigas will require an on-the-ground assessment of the current distribution and abundance of T. gigas, maintaining the few remaining natural wetlands and the practice of rice agriculture in the Sacramento Valley, and studying the effects of agricultural practices and land use changes on populations of T. gigas. ?? 2010 by the American Society of Ichthyologists and Herpetologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1643/CE-09-199","issn":"00458511","usgsCitation":"Halstead, B., Wylie, G., and Casazza, M.L., 2010, Habitat suitability and conservation of the Giant Gartersnake (Thamnophis gigas) in the Sacramento Valley of California: Copeia, no. 4, p. 591-599, https://doi.org/10.1643/CE-09-199.","startPage":"591","endPage":"599","numberOfPages":"9","costCenters":[],"links":[{"id":246434,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218427,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CE-09-199"}],"issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f2ce4b0c8380cd5cb5a","contributors":{"authors":[{"text":"Halstead, B.J.","contributorId":42045,"corporation":false,"usgs":true,"family":"Halstead","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":455013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, G.D.","contributorId":68238,"corporation":false,"usgs":true,"family":"Wylie","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":455014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":455012,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036274,"text":"70036274 - 2010 - Active remote sensing of snow using NMM3D/DMRT and comparison with CLPX II airborne data","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036274","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Active remote sensing of snow using NMM3D/DMRT and comparison with CLPX II airborne data","docAbstract":"We applied the Numerical Maxwell Model of three-dimensional simulations (NMM3D) in the Dense Media Radiative Theory (DMRT) to calculate backscattering coefficients. The particles' positions are computer-generated and the subsequent Foldy-Lax equations solved numerically. The phase matrix in NMM3D has significant cross-polarization, particularly when the particles are densely packed. The NMM3D model is combined with DMRT in calculating the microwave scattering by dry snow. The NMM3D/DMRT equations are solved by an iterative solution up to the second order in the case of small to moderate optical thickness. The numerical results of NMM3D/DMRT are illustrated and compared with QCA/DMRT. The QCA/DMRT and NMM3D/DMRT results are also applied to compare with data from two specific datasets from the second Cold Land Processes Experiment (CLPX II) in Alaska and Colorado. The data are obtained at the Ku-band (13.95 GHz) observations using airborne imaging polarimetric scatterometer (POLSCAT). It is shown that the model predictions agree with the field measurements for both co-polarization and cross-polarization. For the Alaska region, the average snow depth and snow density are used as the inputs for DMRT. The grain size, selected from within the range of the ground measurements, is used as a best-fit parameter within the range. For the Colorado region, we use the Variable Infiltration Capacity Model (VIC) to obtain the input snow profiles for NMM3D/DMRT. ?? 2010 IEEE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1109/JSTARS.2010.2053919","usgsCitation":"Xu, X., Liang, D., Tsang, L., Andreadis, K., Josberger, E., Lettenmaier, D., Cline, D., and Yueh, S., 2010, Active remote sensing of snow using NMM3D/DMRT and comparison with CLPX II airborne data: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 3, no. 4 PART 2, p. 689-697, https://doi.org/10.1109/JSTARS.2010.2053919.","startPage":"689","endPage":"697","numberOfPages":"9","costCenters":[],"links":[{"id":246121,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218136,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2010.2053919"}],"volume":"3","issue":"4 PART 2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e6ace4b0c8380cd47598","contributors":{"authors":[{"text":"Xu, X.","contributorId":55166,"corporation":false,"usgs":true,"family":"Xu","given":"X.","email":"","affiliations":[],"preferred":false,"id":455216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liang, D.","contributorId":66483,"corporation":false,"usgs":true,"family":"Liang","given":"D.","email":"","affiliations":[],"preferred":false,"id":455219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tsang, L.","contributorId":43950,"corporation":false,"usgs":true,"family":"Tsang","given":"L.","email":"","affiliations":[],"preferred":false,"id":455215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andreadis, K.M.","contributorId":8294,"corporation":false,"usgs":true,"family":"Andreadis","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":455214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Josberger, E.G.","contributorId":61161,"corporation":false,"usgs":true,"family":"Josberger","given":"E.G.","email":"","affiliations":[],"preferred":false,"id":455217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lettenmaier, D.P.","contributorId":61175,"corporation":false,"usgs":true,"family":"Lettenmaier","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":455218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cline, D.W.","contributorId":86919,"corporation":false,"usgs":true,"family":"Cline","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":455220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yueh, S.H.","contributorId":88990,"corporation":false,"usgs":true,"family":"Yueh","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":455221,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70036339,"text":"70036339 - 2010 - Effects of amphibian chytrid fungus on individual survival probability in wild boreal toads","interactions":[],"lastModifiedDate":"2017-11-17T15:44:47","indexId":"70036339","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of amphibian chytrid fungus on individual survival probability in wild boreal toads","docAbstract":"Chytridiomycosis is linked to the worldwide decline of amphibians, yet little is known about the demographic effects of the disease. We collected capture-recapture data on three populations of boreal toads (Bufo boreas [Bufo = Anaxyrus]) in the Rocky Mountains (U.S.A.). Two of the populations were infected with chytridiomycosis and one was not. We examined the effect of the presence of amphibian chytrid fungus (Batrachochytrium dendrobatidis [Bd]; the agent of chytridiomycosis) on survival probability and population growth rate. Toads that were infected with Bd had lower average annual survival probability than uninfected individuals at sites where Bd was detected, which suggests chytridiomycosis may reduce survival by 31-42% in wild boreal toads. Toads that were negative for Bd at infected sites had survival probabilities comparable to toads at the uninfected site. Evidence that environmental covariates (particularly cold temperatures during the breeding season) influenced toad survival was weak. The number of individuals in diseased populations declined by 5-7%/year over the 6 years of the study, whereas the uninfected population had comparatively stable population growth. Our data suggest that the presence of Bd in these toad populations is not causing rapid population declines. Rather, chytridiomycosis appears to be functioning as a low-level, chronic disease whereby some infected individuals survive but the overall population effects are still negative. Our results show that some amphibian populations may be coexisting with Bd and highlight the importance of quantitative assessments of survival in diseased animal populations. Journal compilation. ?? 2010 Society for Conservation Biology. No claim to original US government works.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1523-1739.2010.01506.x","issn":"08888892","usgsCitation":"Pilliod, D., Muths, E., Scherer, R.D., Bartelt, P., Corn, P., Hossack, B., Lambert, B., Mccaffery, R., and Gaughan, C., 2010, Effects of amphibian chytrid fungus on individual survival probability in wild boreal toads: Conservation Biology, v. 24, no. 5, p. 1259-1267, https://doi.org/10.1111/j.1523-1739.2010.01506.x.","startPage":"1259","endPage":"1267","numberOfPages":"9","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":246604,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218579,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1523-1739.2010.01506.x"}],"volume":"24","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-04-20","publicationStatus":"PW","scienceBaseUri":"505a0687e4b0c8380cd512b2","contributors":{"authors":[{"text":"Pilliod, D. S.","contributorId":45259,"corporation":false,"usgs":false,"family":"Pilliod","given":"D. S.","affiliations":[],"preferred":false,"id":455618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, E.","contributorId":6394,"corporation":false,"usgs":true,"family":"Muths","given":"E.","affiliations":[],"preferred":false,"id":455613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scherer, R. D.","contributorId":8061,"corporation":false,"usgs":false,"family":"Scherer","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":455614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartelt, P.E.","contributorId":31948,"corporation":false,"usgs":true,"family":"Bartelt","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":455616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corn, P.S.","contributorId":63751,"corporation":false,"usgs":true,"family":"Corn","given":"P.S.","affiliations":[],"preferred":false,"id":455620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, B. R.","contributorId":10756,"corporation":false,"usgs":true,"family":"Hossack","given":"B. R.","affiliations":[],"preferred":false,"id":455615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lambert, B.A.","contributorId":58378,"corporation":false,"usgs":true,"family":"Lambert","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":455619,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mccaffery, R.","contributorId":107139,"corporation":false,"usgs":true,"family":"Mccaffery","given":"R.","affiliations":[],"preferred":false,"id":455621,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gaughan, C.","contributorId":42050,"corporation":false,"usgs":true,"family":"Gaughan","given":"C.","email":"","affiliations":[],"preferred":false,"id":455617,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70036340,"text":"70036340 - 2010 - Broad accommodation of rift-related extension recorded by dyke intrusion in Saudi Arabia","interactions":[],"lastModifiedDate":"2017-04-06T11:48:41","indexId":"70036340","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Broad accommodation of rift-related extension recorded by dyke intrusion in Saudi Arabia","docAbstract":"<p><span>The extensive harrat lava province of Arabia formed during the past 30 million years in response to Red Sea rifting and mantle upwelling. The area was regarded as seismically quiet, but between April and June 2009 a swarm of more than 30,000 earthquakes struck one of the lava fields in the province, Harrat Lunayyir, northwest Saudi Arabia. Concerned that larger damaging earthquakes might occur, the Saudi Arabian government evacuated 40,000 people from the region. Here we use geologic, geodetic and seismic data to show that the earthquake swarm resulted from magmatic dyke intrusion. We document a surface fault rupture that is 8</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>km long with 91</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>cm of offset. Surface deformation is best modelled by the shallow intrusion of a north-west trending dyke that is about 10</span><span class=\"mb\"><span class=\"mb\">&thinsp;</span></span><span>km long. Seismic waves generated during the earthquakes exhibit overlapping very low- and high-frequency components. We interpret the low frequencies to represent intrusion of magma and the high frequencies to represent fracturing of the crystalline basement rocks. Rather than extension being accommodated entirely by the central Red Sea rift axis, we suggest that the broad deformation observed in Harrat Lunayyir indicates that rift margins can remain as active sites of extension throughout rifting. Our analyses allowed us to forecast the likelihood of a future eruption or large earthquake in the region and informed the decisions made by the Saudi Arabian government to return the evacuees.</span></p>","language":"English","publisher":"Nature","publisherLocation":"New York, NY","doi":"10.1038/ngeo966","issn":"17520894","usgsCitation":"Pallister, J., McCausland, W., Jonsson, S., Lu, Z., Zahran, H., El, H.S., Aburukbah, A., Stewart, I., Lundgren, P., White, R., and Moufti, M., 2010, Broad accommodation of rift-related extension recorded by dyke intrusion in Saudi Arabia: Nature Geoscience, v. 3, p. 705-712, https://doi.org/10.1038/ngeo966.","productDescription":"8 p.","startPage":"705","endPage":"712","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":246605,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","state":"Harrat Lunayyir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              37.5,\n              24\n            ],\n            [\n              37.5,\n              26\n            ],\n            [\n              39,\n              26\n            ],\n            [\n              39,\n              24\n            ],\n            [\n              37.5,\n              24\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2010-09-26","publicationStatus":"PW","scienceBaseUri":"5059f285e4b0c8380cd4b208","contributors":{"authors":[{"text":"Pallister, J.S.","contributorId":46534,"corporation":false,"usgs":true,"family":"Pallister","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":455626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCausland, W.A.","contributorId":23003,"corporation":false,"usgs":true,"family":"McCausland","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":455625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jonsson, Sigurjon","contributorId":72123,"corporation":false,"usgs":true,"family":"Jonsson","given":"Sigurjon","email":"","affiliations":[],"preferred":false,"id":455630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":455632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zahran, H.M.","contributorId":69001,"corporation":false,"usgs":true,"family":"Zahran","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":455629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"El, Hadidy S.","contributorId":53215,"corporation":false,"usgs":true,"family":"El","given":"Hadidy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":455627,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aburukbah, A.","contributorId":54057,"corporation":false,"usgs":true,"family":"Aburukbah","given":"A.","affiliations":[],"preferred":false,"id":455628,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stewart, I.C.F.","contributorId":18914,"corporation":false,"usgs":true,"family":"Stewart","given":"I.C.F.","email":"","affiliations":[],"preferred":false,"id":455623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lundgren, P.R.","contributorId":95315,"corporation":false,"usgs":true,"family":"Lundgren","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":455631,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"White, R.A.","contributorId":21953,"corporation":false,"usgs":true,"family":"White","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":455624,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moufti, M.R.H.","contributorId":12306,"corporation":false,"usgs":true,"family":"Moufti","given":"M.R.H.","affiliations":[],"preferred":false,"id":455622,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70036367,"text":"70036367 - 2010 - Recruitment of burbot (Lota lota L.) in Lake Erie: An empirical modelling approach","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036367","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment of burbot (Lota lota L.) in Lake Erie: An empirical modelling approach","docAbstract":"World-wide, many burbot Lota lota (L.) populations have been extirpated or are otherwise in need of conservation measures. By contrast, burbot made a dramatic recovery in Lake Erie during 1993-2001 but declined during 2002-2007, due in part to a sharp decrease in recruitment. We used Akaike's Information Criterion to evaluate 129 linear regression models that included all combinations of one to seven ecological indices as predictors of burbot recruitment. Two models were substantially supported by the data: (i) the number of days in which water temperatures were within optimal ranges for burbot spawning and development combined with biomass of yearling and older (YAO) yellow perch Perca flavescens (Mitchill); and (ii) biomass of YAO yellow perch. Warmer winter water temperatures and increases in yellow perch biomass were associated with decreases in burbot recruitment. Continued warm winter water temperatures could result in declines in burbot recruitment, particularly in the southern part of the species' range. Published 2010. This article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology of Freshwater Fish","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1600-0633.2010.00414.x","issn":"09066691","usgsCitation":"Stapanian, M., Witzel, L., and Cook, A., 2010, Recruitment of burbot (Lota lota L.) in Lake Erie: An empirical modelling approach: Ecology of Freshwater Fish, v. 19, no. 3, p. 326-337, https://doi.org/10.1111/j.1600-0633.2010.00414.x.","startPage":"326","endPage":"337","numberOfPages":"12","costCenters":[],"links":[{"id":218526,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0633.2010.00414.x"},{"id":246546,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-08-15","publicationStatus":"PW","scienceBaseUri":"50e4a355e4b0e8fec6cdb828","contributors":{"authors":[{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":455754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witzel, L.D.","contributorId":70324,"corporation":false,"usgs":true,"family":"Witzel","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":455755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, A.","contributorId":88174,"corporation":false,"usgs":true,"family":"Cook","given":"A.","affiliations":[],"preferred":false,"id":455756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036368,"text":"70036368 - 2010 - Quantifying potential tsunami hazard in the Puysegur subduction zone, south of New Zealand","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036368","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying potential tsunami hazard in the Puysegur subduction zone, south of New Zealand","docAbstract":"Studies of subduction zone seismogenesis and tsunami potential, particularly of large subduction zones, have recently seen a resurgence after the great 2004 earthquake and tsunami offshore of Sumatra, yet these global studies have generally neglected the tsunami potential of small subduction zones such as the Puysegur subduction zone, south of New Zealand. Here, we study one such relatively small subduction zone by analysing the historical seismicity over the entire plate boundary region south of New Zealand, using these data to determine the seismic moment deficit of the subduction zone over the past ~100 yr. Our calculations indicate unreleased moment equivalent to a magnitude Mw 8.3 earthquake, suggesting this subduction zone has the potential to host a great, tsunamigenic event. We model this tsunami hazard and find that a tsunami caused by a great earthquake on the Puysegur subduction zone would pose threats to the coasts of southern and western South Island, New Zealand, Tasmania and southeastern Australia, nearly 2000 km distant. No claim to original US government works Geophysical Journal International ?? 2010 RAS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2010.04808.x","issn":"0956540X","usgsCitation":"Hayes, G., and Furlong, K., 2010, Quantifying potential tsunami hazard in the Puysegur subduction zone, south of New Zealand: Geophysical Journal International, v. 183, no. 3, p. 1512-1524, https://doi.org/10.1111/j.1365-246X.2010.04808.x.","startPage":"1512","endPage":"1524","numberOfPages":"13","costCenters":[],"links":[{"id":475820,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2010.04808.x","text":"Publisher Index Page"},{"id":218527,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2010.04808.x"},{"id":246547,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-10-22","publicationStatus":"PW","scienceBaseUri":"505a91d6e4b0c8380cd804be","contributors":{"authors":[{"text":"Hayes, G.P.","contributorId":75764,"corporation":false,"usgs":true,"family":"Hayes","given":"G.P.","email":"","affiliations":[],"preferred":false,"id":455758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furlong, K.P.","contributorId":35490,"corporation":false,"usgs":true,"family":"Furlong","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":455757,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036369,"text":"70036369 - 2010 - Effects of nourishment on the form and function of an estuarine beach","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036369","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Effects of nourishment on the form and function of an estuarine beach","docAbstract":"Beach nourishment programs in estuaries can enhance shore protection, but they decrease habitat suitability by creating higher berms and wider backshores than would occur under natural conditions. Use of sediment sources from outside the area can result in sedimentary characteristics that differ from native sediments on the surface and at depth, altering conditions for both aeolian transport to dunes and interstitial fauna. Field data were gathered on an estuarine beach to determine differences in beach profile change, depth of sediment reworking, and potential for aeolian transport due to nourishment. Data were gathered over a 20-month period 6 months prior to nourishment, 3 days after nourishment, 6 months after nourishment, and 14 months after nourishment when the beach was mechanically graded to eliminate a vertical scarp in the foreshore. The nourishment consisted of 87,900m3 of sediment emplaced to create a 1.34-km-long, 30-m-wide berm 2.3m above mean tide level. Seven percent of the fill was removed from the profile within 6 months after nourishment, accompanied by 7m in horizontal retreat of the artificial berm. The fill on the backshore remained above the zone of wave influence over a winter storm season and was separated from the active foreshore by the scarp. Nourished sediments on the intertidal foreshore were significantly different from native sediments to a depth of 0.20m below the surface. A lag surface of coarse sediment formed by deflation on the backshore, resulting in a rate of aeolian transport &lt;2% of the rate on the wave-reworked foreshore.Nourishing a beach to a level higher than would be created by natural processes can create a profile that compartmentalizes and restricts transport of sediment and movement of fauna between the foreshore and backshore. Mechanical grading can eliminate the scarp, allow for faunal interaction, and reestablish wave reworking of the backshore that will facilitate aeolian transport. Using an initial design to nourish the backshore at a lower elevation and allowing a dune to provide protection against flooding during major storms could prevent a scarp from forming and eliminate the need for follow-up grading. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecoleng.2010.07.016","issn":"09258574","usgsCitation":"Jackson, N., Nordstrom, K., Saini, S., and Smith, D., 2010, Effects of nourishment on the form and function of an estuarine beach: Ecological Engineering, v. 36, no. 12, p. 1709-1718, https://doi.org/10.1016/j.ecoleng.2010.07.016.","startPage":"1709","endPage":"1718","numberOfPages":"10","costCenters":[],"links":[{"id":218555,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2010.07.016"},{"id":246577,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a076ce4b0c8380cd516be","contributors":{"authors":[{"text":"Jackson, N.L.","contributorId":104189,"corporation":false,"usgs":true,"family":"Jackson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":455762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, K.F.","contributorId":17733,"corporation":false,"usgs":true,"family":"Nordstrom","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":455760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saini, S.","contributorId":7953,"corporation":false,"usgs":true,"family":"Saini","given":"S.","email":"","affiliations":[],"preferred":false,"id":455759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":455761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036370,"text":"70036370 - 2010 - Distribution, behavior, and transport of inorganic and methylmercury in a high gradient stream","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036370","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Distribution, behavior, and transport of inorganic and methylmercury in a high gradient stream","docAbstract":"Concentrations of Hg remain elevated in physical and biological media of the South River (Virginia, USA), despite the cessation of the industrial use of Hg in its watershed nearly six decades ago, and physical characteristics that would not seem to favor Hg(II)-methylation. A 3-a study of inorganic Hg (IHg) and methylmercury (MeHg) was conducted in physical media (soil, sediment, surface water, porewater and soil/sediment extracts) to identify non-point sources, transport mechanisms, and potential controls on Hg(II)-methylation. Data collected from surface water and sediment indicate that the majority of the non-point sources of IHg to the South River are within the first 14. km downstream from the historic point source. Partitioning data indicate that particle bound IHg is introduced in this reach, releasing dissolved and colloidal bound IHg, which is transported downstream. Extraction experiments revealed that floodplain soils released a higher fraction of their IHg content in aqueous extractions than fine-grained sediment (FGS). Based on ultrafiltration [<5000 nominal molecular weight cutoff (NMWC)] the majority of soil IHg released was colloidal in nature, providing evidence for the continued evolution of IHg for Hg(II)-methylation from soil. Strong seasonal patterns in MeHg concentrations were observed in surface water and sediment. The highest concentrations of MeHg in surface water were observed at moderate temperatures, suggesting that other factors limit net Hg(II)-methylation. Seasonal changes in sediment organic content and the fraction of 1. N KOH-extractable THg were also observed and may be important factors in controlling net Hg(II)-methylation rates. Sulfate concentrations in surface water are low and the evidence suggests that Fe reduction may be an important Hg(II)-methylation process. The highest sediment MeHg concentrations were observed in habitats with large amounts of FGS, which are more prevalent in the upper half of the study area due to the lower hydrologic gradient and agricultural impacts. Past and present land use practices and other geomorphologic controls contribute to the erosion of banks and accumulation of fine-grained sediment in this section of the river, acting as sources of IHg. ?? 2010 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2010.09.004","issn":"08832927","usgsCitation":"Flanders, J., Turner, R., Morrison, T., Jensen, R., Pizzuto, J., Skalak, K., and Stahl, R., 2010, Distribution, behavior, and transport of inorganic and methylmercury in a high gradient stream: Applied Geochemistry, v. 25, no. 11, p. 1756-1769, https://doi.org/10.1016/j.apgeochem.2010.09.004.","startPage":"1756","endPage":"1769","numberOfPages":"14","costCenters":[],"links":[{"id":218581,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2010.09.004"},{"id":246606,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a031ce4b0c8380cd50346","contributors":{"authors":[{"text":"Flanders, J.R.","contributorId":87401,"corporation":false,"usgs":true,"family":"Flanders","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":455768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, R.R.","contributorId":29983,"corporation":false,"usgs":true,"family":"Turner","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":455764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, T.","contributorId":90966,"corporation":false,"usgs":true,"family":"Morrison","given":"T.","affiliations":[],"preferred":false,"id":455769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jensen, R.","contributorId":58877,"corporation":false,"usgs":true,"family":"Jensen","given":"R.","affiliations":[],"preferred":false,"id":455766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pizzuto, J.","contributorId":32381,"corporation":false,"usgs":true,"family":"Pizzuto","given":"J.","email":"","affiliations":[],"preferred":false,"id":455765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skalak, K.","contributorId":22997,"corporation":false,"usgs":true,"family":"Skalak","given":"K.","affiliations":[],"preferred":false,"id":455763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stahl, R.","contributorId":60888,"corporation":false,"usgs":true,"family":"Stahl","given":"R.","email":"","affiliations":[],"preferred":false,"id":455767,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036399,"text":"70036399 - 2010 - Predicted and observed spectral response from collocated shallow, active- and passive- source Vs data at five ANSS sites, Illinois and Indiana, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036399","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Predicted and observed spectral response from collocated shallow, active- and passive- source Vs data at five ANSS sites, Illinois and Indiana, USA","docAbstract":"[No abstract available]","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/gssrl.81.6.955","issn":"08950695","usgsCitation":"Odum, J.K., Stephenson, W.J., and Williams, R.A., 2010, Predicted and observed spectral response from collocated shallow, active- and passive- source Vs data at five ANSS sites, Illinois and Indiana, USA: Seismological Research Letters, v. 81, no. 6, p. 955-964, https://doi.org/10.1785/gssrl.81.6.955.","startPage":"955","endPage":"964","numberOfPages":"10","costCenters":[],"links":[{"id":218499,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/gssrl.81.6.955"},{"id":246516,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-11-15","publicationStatus":"PW","scienceBaseUri":"505a818ce4b0c8380cd7b5b1","contributors":{"authors":[{"text":"Odum, J. K.","contributorId":105705,"corporation":false,"usgs":true,"family":"Odum","given":"J.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":455942,"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":455941,"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":455940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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