{"pageNumber":"823","pageRowStart":"20550","pageSize":"25","recordCount":40778,"records":[{"id":70034211,"text":"70034211 - 2010 - A multiscale and multidisciplinary investigation of ecosystem-atmosphere CO<sub>2</sub> exchange over the rocky mountains of colorado","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034211","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"A multiscale and multidisciplinary investigation of ecosystem-atmosphere CO<sub>2</sub> exchange over the rocky mountains of colorado","docAbstract":"A field study combined with modeling investigation demonstrated that the organization of CO2 transport by mountain terrain strongly affects the regional CO2 budget. Atmospheric dynamics can lead to complicated flows generated by inhomogeneous landscapes, topography or synoptic weather systems. The field campaign conducted of a ground deployment, the Carbon in the Mountain Experiment (CME04), and an aircraft deployment of the national Center for Atmospheric Research (NCAR) C-130, the Airborne Carbon in the Mountains Experiment (ACME04) over the period of spring to fall of 2004 to cover the seasonal variation of ecosystem-atmosphere carbon exchange. The role of the mountain circulation in CO2 transport can be played over seemingly flat terrain by mesoscale flows generated by various physical processes. The three dimensional observation strategy considered can also be applied over flat terrain.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the American Meteorological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2009BAMS2733.1","issn":"00030007","usgsCitation":"Sun, J., Oncley, S., Burns, S.P., Stephens, B., Lenschow, D., Campos, T., Monson, R.K., Schimel, D.S., Sacks, W., De Wekker, S.F., Lai, C., Lamb, B., Ojima, D., Ellsworth, P., Sternberg, L., Zhong, S., Clements, C., Moore, D., Anderson, D., Watt, A., Hu, J., Tschudi, M., Aulenbach, S., Allwine, E., and Coons, T., 2010, A multiscale and multidisciplinary investigation of ecosystem-atmosphere CO<sub>2</sub> exchange over the rocky mountains of colorado: Bulletin of the American Meteorological Society, v. 91, no. 2, p. 209-230, https://doi.org/10.1175/2009BAMS2733.1.","startPage":"209","endPage":"230","numberOfPages":"22","costCenters":[],"links":[{"id":475801,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2009bams2733.1","text":"Publisher Index Page"},{"id":244429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216552,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2009BAMS2733.1"}],"volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e48fe4b0c8380cd46718","contributors":{"authors":[{"text":"Sun, Jielun","contributorId":33443,"corporation":false,"usgs":true,"family":"Sun","given":"Jielun","email":"","affiliations":[],"preferred":false,"id":444628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oncley, S.P.","contributorId":13416,"corporation":false,"usgs":true,"family":"Oncley","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":444622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Sean P.","contributorId":98921,"corporation":false,"usgs":true,"family":"Burns","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":444643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephens, B.B.","contributorId":100883,"corporation":false,"usgs":true,"family":"Stephens","given":"B.B.","email":"","affiliations":[],"preferred":false,"id":444644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lenschow, D.H.","contributorId":63614,"corporation":false,"usgs":true,"family":"Lenschow","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":444635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campos, T.","contributorId":55665,"corporation":false,"usgs":true,"family":"Campos","given":"T.","email":"","affiliations":[],"preferred":false,"id":444634,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monson, Russell K.","contributorId":48136,"corporation":false,"usgs":true,"family":"Monson","given":"Russell","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":444632,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schimel, D. S.","contributorId":84104,"corporation":false,"usgs":true,"family":"Schimel","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":444639,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sacks, W.J.","contributorId":103117,"corporation":false,"usgs":true,"family":"Sacks","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":444645,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"De Wekker, Stephan F. J.","contributorId":90958,"corporation":false,"usgs":false,"family":"De Wekker","given":"Stephan","email":"","middleInitial":"F. 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,{"id":70034122,"text":"70034122 - 2010 - Estimating black bear density using DNA data from hair snares","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034122","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":"Estimating black bear density using DNA data from hair snares","docAbstract":"DNA-based mark-recapture has become a methodological cornerstone of research focused on bear species. The objective of such studies is often to estimate population size; however, doing so is frequently complicated by movement of individual bears. Movement affects the probability of detection and the assumption of closure of the population required in most models. To mitigate the bias caused by movement of individuals, population size and density estimates are often adjusted using ad hoc methods, including buffering the minimum polygon of the trapping array. We used a hierarchical, spatial capturerecapture model that contains explicit components for the spatial-point process that governs the distribution of individuals and their exposure to (via movement), and detection by, traps. We modeled detection probability as a function of each individual's distance to the trap and an indicator variable for previous capture to account for possible behavioral responses. We applied our model to a 2006 hair-snare study of a black bear (Ursus americanus) population in northern New York, USA. Based on the microsatellite marker analysis of collected hair samples, 47 individuals were identified. We estimated mean density at 0.20 bears/km<sup>2</sup>. A positive estimate of the indicator variable suggests that bears are attracted to baited sites; therefore, including a trap-dependence covariate is important when using bait to attract individuals. Bayesian analysis of the model was implemented in WinBUGS, and we provide the model specification. The model can be applied to any spatially organized trapping array (hair snares, camera traps, mist nests, etc.) to estimate density and can also account for heterogeneity and covariate information at the trap or individual level. ?? The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2009-101","issn":"0022541X","usgsCitation":"Gardner, B., Royle, J., Wegan, M., Rainbolt, R., and Curtis, P.D., 2010, Estimating black bear density using DNA data from hair snares: Journal of Wildlife Management, v. 74, no. 2, p. 318-325, https://doi.org/10.2193/2009-101.","startPage":"318","endPage":"325","numberOfPages":"8","costCenters":[],"links":[{"id":216755,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2009-101"},{"id":244641,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505a0b0fe4b0c8380cd52548","contributors":{"authors":[{"text":"Gardner, B.","contributorId":26793,"corporation":false,"usgs":true,"family":"Gardner","given":"B.","email":"","affiliations":[],"preferred":false,"id":444201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":444203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wegan, M.T.","contributorId":22883,"corporation":false,"usgs":true,"family":"Wegan","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":444200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rainbolt, R.E.","contributorId":19005,"corporation":false,"usgs":true,"family":"Rainbolt","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":444199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curtis, Paul D.","contributorId":83633,"corporation":false,"usgs":true,"family":"Curtis","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":444202,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034119,"text":"70034119 - 2010 - Vulnerability of deep groundwater in the Bengal Aquifer System to contamination by arsenic","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034119","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":"Vulnerability of deep groundwater in the Bengal Aquifer System to contamination by arsenic","docAbstract":"Shallow groundwater, the primary water source in the Bengal Basin, contains up to 100 times the World Health Organization (WHO) drinking-water guideline of 10g l 1 arsenic (As), threatening the health of 70 million people. Groundwater from a depth greater than 150m, which almost uniformly meets the WHO guideline, has become the preferred alternative source. The vulnerability of deep wells to contamination by As is governed by the geometry of induced groundwater flow paths and the geochemical conditions encountered between the shallow and deep regions of the aquifer. Stratification of flow separates deep groundwater from shallow sources of As in some areas. Oxidized sediments also protect deep groundwater through the ability of ferric oxyhydroxides to adsorb As. Basin-scale groundwater flow modelling suggests that, over large regions, deep hand-pumped wells for domestic supply may be secure against As invasion for hundreds of years. By contrast, widespread deep irrigation pumping might effectively eliminate deep groundwater as an As-free resource within decades. Finer-scale models, incorporating spatial heterogeneity, are needed to investigate the security of deep municipal abstraction at specific urban locations. ?? 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/ngeo750","issn":"17520894","usgsCitation":"Burgess, W., Hoque, M., Michael, H., Voss, C., Breit, G.N., and Ahmed, K., 2010, Vulnerability of deep groundwater in the Bengal Aquifer System to contamination by arsenic: Nature Geoscience, v. 3, no. 2, p. 83-87, https://doi.org/10.1038/ngeo750.","startPage":"83","endPage":"87","numberOfPages":"5","costCenters":[],"links":[{"id":216691,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo750"},{"id":244576,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-01-17","publicationStatus":"PW","scienceBaseUri":"505bc37ae4b08c986b32b1d4","contributors":{"authors":[{"text":"Burgess, W.G.","contributorId":24195,"corporation":false,"usgs":true,"family":"Burgess","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":444186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoque, M.A.","contributorId":67329,"corporation":false,"usgs":true,"family":"Hoque","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":444188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, H.A.","contributorId":98858,"corporation":false,"usgs":true,"family":"Michael","given":"H.A.","email":"","affiliations":[],"preferred":false,"id":444191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, C.I.","contributorId":79515,"corporation":false,"usgs":true,"family":"Voss","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":444189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breit, G. N.","contributorId":94664,"corporation":false,"usgs":true,"family":"Breit","given":"G.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":444190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahmed, K.M.","contributorId":48415,"corporation":false,"usgs":true,"family":"Ahmed","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":444187,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034116,"text":"70034116 - 2010 - Ecosystem effects of environmental flows: Modelling and experimental floods in a dryland river","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034116","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem effects of environmental flows: Modelling and experimental floods in a dryland river","docAbstract":"Successful environmental flow prescriptions require an accurate understanding of the linkages among flow events, geomorphic processes and biotic responses. We describe models and results from experimental flow releases associated with an environmental flow program on the Bill Williams River (BWR), Arizona, in arid to semiarid western U.S.A. Two general approaches for improving knowledge and predictions of ecological responses to environmental flows are: (1) coupling physical system models to ecological responses and (2) clarifying empirical relationships between flow and ecological responses through implementation and monitoring of experimental flow releases. We modelled the BWR physical system using: (1) a reservoir operations model to simulate reservoir releases and reservoir water levels and estimate flow through the river system under a range of scenarios, (2) one- and two-dimensional river hydraulics models to estimate stage-discharge relationships at the whole-river and local scales, respectively, and (3) a groundwater model to estimate surface- and groundwater interactions in a large, alluvial valley on the BWR where surface flow is frequently absent. An example of a coupled, hydrology-ecology model is the Ecosystems Function Model, which we used to link a one-dimensional hydraulic model with riparian tree seedling establishment requirements to produce spatially explicit predictions of seedling recruitment locations in a Geographic Information System. We also quantified the effects of small experimental floods on the differential mortality of native and exotic riparian trees, on beaver dam integrity and distribution, and on the dynamics of differentially flow-adapted benthic macroinvertebrate groups. Results of model applications and experimental flow releases are contributing to adaptive flow management on the BWR and to the development of regional environmental flow standards. General themes that emerged from our work include the importance of response thresholds, which are commonly driven by geomorphic thresholds or mediated by geomorphic processes, and the importance of spatial and temporal variation in the effects of flows on ecosystems, which can result from factors such as longitudinal complexity and ecohydrological feedbacks. ?? Published 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2009.02271.x","issn":"00465070","usgsCitation":"Shafroth, P., Wilcox, A., Lytle, D., Hickey, J., Andersen, D., Beauchamp, V., Hautzinger, A., McMullen, L., and Warner, A., 2010, Ecosystem effects of environmental flows: Modelling and experimental floods in a dryland river: Freshwater Biology, v. 55, no. 1, p. 68-85, https://doi.org/10.1111/j.1365-2427.2009.02271.x.","startPage":"68","endPage":"85","numberOfPages":"18","costCenters":[],"links":[{"id":216660,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2009.02271.x"},{"id":244544,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-15","publicationStatus":"PW","scienceBaseUri":"505a059ce4b0c8380cd50e8b","contributors":{"authors":[{"text":"Shafroth, P.B.","contributorId":65041,"corporation":false,"usgs":true,"family":"Shafroth","given":"P.B.","email":"","affiliations":[],"preferred":false,"id":444176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox, A.C.","contributorId":89720,"corporation":false,"usgs":true,"family":"Wilcox","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":444181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lytle, D.A.","contributorId":85422,"corporation":false,"usgs":true,"family":"Lytle","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":444179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickey, J.T.","contributorId":57296,"corporation":false,"usgs":true,"family":"Hickey","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":444175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersen, D.C.","contributorId":19119,"corporation":false,"usgs":true,"family":"Andersen","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":444173,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beauchamp, Vanessa B.","contributorId":76544,"corporation":false,"usgs":true,"family":"Beauchamp","given":"Vanessa B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":444178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hautzinger, A.","contributorId":88973,"corporation":false,"usgs":true,"family":"Hautzinger","given":"A.","affiliations":[],"preferred":false,"id":444180,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McMullen, L.E.","contributorId":51576,"corporation":false,"usgs":true,"family":"McMullen","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":444174,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warner, A.","contributorId":68137,"corporation":false,"usgs":true,"family":"Warner","given":"A.","email":"","affiliations":[],"preferred":false,"id":444177,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034101,"text":"70034101 - 2010 - Do competitors modulate rare plant response to precipitation change?","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034101","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Do competitors modulate rare plant response to precipitation change?","docAbstract":"Ecologists increasingly suspect that climate change will directly impact species physiology, demography, and phenology, but also indirectly affect these measures via changes to the surrounding community. Unfortunately, few studies examine both the direct and indirect pathways of impact. Doing so is important because altered competitive pressures can reduce or magnify the direct responses of a focal species to climate change. Here, we examine the effects of changing rainfall on three rare annual plant species in the presence and absence of competition on the California Channel Islands. We used rain-out shelters and hand watering to exclude and augment early, late, and season-long rainfall, spanning the wide range of precipitation change forecast for the region. In the absence of competition, droughts reduced the population growth rates of two of three focal annuals, while increased rainfall was only sometimes beneficial, As compared to the focal species, the dominant competitors were more sensitive to the precipitation treatments, benefiting from increased season-long precipitation and harmed by droughts. Importantly, the response of two of three competitors to the precipitation treatments tended to be positively correlated with those of the focal annuals. Although this leads to the expectation that increased competition will counter the direct benefits of favorable conditions, such indirect effects of precipitation change proved weak to nonexistent in our experiment. Competitors had little influence on the precipitation response of two focal species, due to their low sensitivity to competition and highly variable precipitation responses. Competition did affect how our third focal species responded to precipitation change, but this effect only approached significance, and whether it truly resulted from competitor response to precipitation change was unclear. Our work suggests that even when competitors respond to climate change, these responses may have little effect on the focal species. Ultimately, the strength of the indirect effect depends on how strongly climate change alters competition, and how sensitive focal species are to changes in competition. ?? 2010 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-2039.1","issn":"00129658","usgsCitation":"Levine, J., Kathryn, M.A., and Cowan, C., 2010, Do competitors modulate rare plant response to precipitation change?: Ecology, v. 91, no. 1, p. 130-140, https://doi.org/10.1890/08-2039.1.","startPage":"130","endPage":"140","numberOfPages":"11","costCenters":[],"links":[{"id":216870,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-2039.1"},{"id":244768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a035fe4b0c8380cd5045b","contributors":{"authors":[{"text":"Levine, J.M.","contributorId":77748,"corporation":false,"usgs":true,"family":"Levine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":444096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kathryn, Mceachern A.","contributorId":31233,"corporation":false,"usgs":true,"family":"Kathryn","given":"Mceachern","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":444094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowan, C.","contributorId":46777,"corporation":false,"usgs":true,"family":"Cowan","given":"C.","email":"","affiliations":[],"preferred":false,"id":444095,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034095,"text":"70034095 - 2010 - Federal land management, carbon sequestration, and climate change in the Southeastern U.S.: a case study with fort benning","interactions":[],"lastModifiedDate":"2013-04-25T09:51:36","indexId":"70034095","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Federal land management, carbon sequestration, and climate change in the Southeastern U.S.: a case study with fort benning","docAbstract":"Land use activities can have a major impact on the temporal trendsandspatialpatternsofregionalland-atmosphereexchange of carbon. Federal lands generally have substantially different land management strategies from surrounding areas, and the carbon consequences have rarely been quantified and assessed. Using the Fort Benning Installation as a case study, we used the General Ensemble biogeochemical Modeling System (GEMS) to simulate and compare ecosystem carbon sequestration between the U.S. Army's Fort Benning and surrounding areas from 1992 to 2050. Our results indicate that the military installation sequestered more carbon than surrounding areas from 1992 to 2007 (76.7 vs 18.5 g C m<sup>-2</sup> yr<sup>-1</sup>), and is projected to continue sequestering more carbon from 2008 to 2050 (75.7 vs 25.6 g C m<sup>-2</sup> yr<sup>-1</sup>), mostly because of the proactive management approaches adopted on military training lands. Our results suggest that federal lands might play a positive and important role in sequestering and conserving atmospheric carbon because some anthropogenic disturbances (e.g., urbanization, forest harvesting, and agriculture) can be minimized or prevented on federal lands","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","doi":"10.1021/es9009019","issn":"0013936X","usgsCitation":"Zhao, S., Liu, S., Li, Z., and Sohl, T.L., 2010, Federal land management, carbon sequestration, and climate change in the Southeastern U.S.: a case study with fort benning: Environmental Science & Technology, v. 44, no. 3, p. 992-997, https://doi.org/10.1021/es9009019.","productDescription":"6 p.","startPage":"992","endPage":"997","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244672,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216781,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9009019"}],"country":"United States","state":"Georgia","county":"Chattahoochee County","otherGeospatial":"Fort Benning","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.008096,32.220951 ], [ -85.008096,32.534956 ], [ -84.637323,32.534956 ], [ -84.637323,32.220951 ], [ -85.008096,32.220951 ] ] ] } } ] }","volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-01-07","publicationStatus":"PW","scienceBaseUri":"505a0f5ce4b0c8380cd53898","contributors":{"authors":[{"text":"Zhao, S.","contributorId":71779,"corporation":false,"usgs":true,"family":"Zhao","given":"S.","email":"","affiliations":[],"preferred":false,"id":444053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":444055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Z.","contributorId":29160,"corporation":false,"usgs":true,"family":"Li","given":"Z.","affiliations":[],"preferred":false,"id":444052,"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":444054,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034012,"text":"70034012 - 2010 - Bacteria holding times for fecal coliform by mFC agar method and total coliform and Escherichia coli by Colilert®-18 Quanti-Tray® method","interactions":[],"lastModifiedDate":"2015-03-23T10:57:34","indexId":"70034012","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Bacteria holding times for fecal coliform by mFC agar method and total coliform and Escherichia coli by Colilert®-18 Quanti-Tray® method","docAbstract":"<p>Bacteria holding-time experiments of up to 62&nbsp;h were performed on five surface-water samples from four urban stream sites in the vicinity of Atlanta, GA, USA that had relatively high densities of coliform bacteria (<i class=\"a-plus-plus\">Escherichia coli</i> densities were all well above the US Environmental Protection Agency criterion of 126 colonies (100&nbsp;ml)<sup class=\"a-plus-plus\">&thinsp;&minus;&thinsp;1</sup> for recreational waters). Holding-time experiments were done for fecal coliform using the membrane filtration modified fecal coliform (mFC) agar method and for total coliform and <i class=\"a-plus-plus\">E. coli</i> using the Colilert<sup class=\"a-plus-plus\">&reg;</sup>-18 Quanti-Tray<sup class=\"a-plus-plus\">&reg;</sup> method. The precisions of these analytical methods were quantified. Precisions determined for fecal coliform indicated that the upper bound of the ideal range of counts could reasonably be extended upward and would improve precision. For the Colilert<sup class=\"a-plus-plus\">&reg;</sup>-18 method, analytical precisions were similar to the theoretical precisions for this method. Fecal and total coliform densities did not change significantly with holding times up to about 27&nbsp;h. Limited information indicated that fecal coliform densities might be stable for holding times of up to 62&nbsp;h, whereas total coliform densities might not be stable for holding times greater than about 27&nbsp;h. <i class=\"a-plus-plus\">E. coli</i> densities were stable for holding times of up to 18&nbsp;h&mdash;a shorter period than indicated from a previous studies. These results should be applicable to non-regulatory monitoring sampling designs for similar urban surface-water sample types.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-008-0734-3","issn":"01676369","usgsCitation":"Aulenbach, B.T., 2010, Bacteria holding times for fecal coliform by mFC agar method and total coliform and Escherichia coli by Colilert®-18 Quanti-Tray® method: Environmental Monitoring and Assessment, v. 161, no. 1-4, p. 147-159, https://doi.org/10.1007/s10661-008-0734-3.","productDescription":"13 p.","startPage":"147","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244415,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216538,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-008-0734-3"}],"volume":"161","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-01-23","publicationStatus":"PW","scienceBaseUri":"5059ef9ae4b0c8380cd4a342","contributors":{"authors":[{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":443640,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034002,"text":"70034002 - 2010 - Nearshore concentration of pink shrimp (Farfantepenaeus duorarum) postlarvae in northern Florida bay in relation to nocturnal flood tide","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034002","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1106,"text":"Bulletin of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore concentration of pink shrimp (Farfantepenaeus duorarum) postlarvae in northern Florida bay in relation to nocturnal flood tide","docAbstract":"We address the question of whether the low abundance of juvenile pink shrimp Farfantepenaeus duorarum (Burkenroad, 1939) in northern-central Florida Bay results from (i) limiting environmental conditions, (ii) a reduced postlarval transport, or (iii) both. To explore this question, postlarvae were collected during the new moon in both summer and fall of 2004 and 2005 at six stations located on a transect from the bay's western margin to its interior. The highest concentrations of postlarvae occurred at two mid-transect stations located in shallow channels with moderate tidal amplitudes (15-20 cm) and dense seagrass beds. At the two interiormost stations postlarval concentrations decreased together with a reduction of the tidal amplitude (= 1 cm). Estimates of the cumulative flood-tide displacement with the semidiurnal M<sub>2</sub> constituent indicated that the tide moves a maximum of 15 km in four nights, a distance that corresponds to the location of the highest concentrations of postlarvae. The size of postlarvae also reached a maximum at the location of the highest concentrations of postlarvae. Results suggest that postlarvae move into the bay's interior by a cumulative flood tidal process, advancing onshore during successive nights as far as they can go with the tide. Analyses indicate that, in addition to the tidal amplitude, cross-shelf wind stress and salinity also affect the concentrations of postlarvae. Peaks of postlarvae occurred at times of low salinity and strong southeasterly winds. While tidal transport appears to be insufficient for postlarvae to reach Florida Bay's interior, salinity and winds may also contribute to the observed distribution patterns of early pink shrimp recruits. ?? 2010 Rosenstiel School of Marine and Atmospheric Science of the University of Miami.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Marine Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"00074977","usgsCitation":"Criales, M.M., Robblee, M., Browder, J.A., Cardenas, H., and Jackson, T.L., 2010, Nearshore concentration of pink shrimp (Farfantepenaeus duorarum) postlarvae in northern Florida bay in relation to nocturnal flood tide: Bulletin of Marine Science, v. 86, no. 1, p. 53-74.","startPage":"53","endPage":"74","numberOfPages":"22","costCenters":[],"links":[{"id":244795,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6413e4b0c8380cd72875","contributors":{"authors":[{"text":"Criales, Maria M.","contributorId":69330,"corporation":false,"usgs":false,"family":"Criales","given":"Maria","email":"","middleInitial":"M.","affiliations":[{"id":12565,"text":"Rosenstiel School of Atomospheric Science, University of Miami","active":true,"usgs":false}],"preferred":false,"id":443606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robblee, M. B.","contributorId":23879,"corporation":false,"usgs":true,"family":"Robblee","given":"M. B.","affiliations":[],"preferred":false,"id":443605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Browder, Joan A.","contributorId":7439,"corporation":false,"usgs":true,"family":"Browder","given":"Joan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cardenas, H.","contributorId":11411,"corporation":false,"usgs":true,"family":"Cardenas","given":"H.","email":"","affiliations":[],"preferred":false,"id":443604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Thomas L.","contributorId":93667,"corporation":false,"usgs":true,"family":"Jackson","given":"Thomas","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":443607,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033916,"text":"70033916 - 2010 - Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033916","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework","docAbstract":"River-aquifer exchange is considered within a transition probability framework along the Rio Grande in Albuquerque, New Mexico, to provide a stochastic estimate of aquifer heterogeneity and river loss. Six plausible hydrofacies configurations were determined using categorized drill core and wetland survey data processed through the TPROGS geostatistical package. A base case homogeneous model was also constructed for comparison. River loss was simulated for low, moderate, and high Rio Grande stages and several different riverside drain stage configurations. Heterogeneity effects were quantified by determining the mean and variance of the K field for each realization compared to the root-mean-square (RMS) error of the observed groundwater head data. Simulation results showed that the heterogeneous models produced smaller estimates of loss than the homogeneous approximation. Differences between heterogeneous and homogeneous model results indicate that the use of a homogeneous K in a regional-scale model may result in an overestimation of loss but comparable RMS error. We find that the simulated river loss is dependent on the aquifer structure and is most sensitive to the volumetric proportion of fines within the river channel. Copyright 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009WR007903","issn":"00431397","usgsCitation":"Engdahl, N., Vogler, E.T., and Weissmann, G., 2010, Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework: Water Resources Research, v. 46, no. 1, https://doi.org/10.1029/2009WR007903.","costCenters":[],"links":[{"id":475911,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr007903","text":"Publisher Index Page"},{"id":241812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214120,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009WR007903"}],"volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-15","publicationStatus":"PW","scienceBaseUri":"505a0c48e4b0c8380cd52af1","contributors":{"authors":[{"text":"Engdahl, N.B.","contributorId":22977,"corporation":false,"usgs":true,"family":"Engdahl","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":443159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogler, E. T.","contributorId":55220,"corporation":false,"usgs":true,"family":"Vogler","given":"E.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":443161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weissmann, G.S.","contributorId":50927,"corporation":false,"usgs":true,"family":"Weissmann","given":"G.S.","affiliations":[],"preferred":false,"id":443160,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033833,"text":"70033833 - 2010 - Effects of altered groundwater chemistry upon the pH-dependency and magnitude of bacterial attachment during transport within an organically contaminated sandy aquifer","interactions":[],"lastModifiedDate":"2018-10-11T10:29:52","indexId":"70033833","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Effects of altered groundwater chemistry upon the pH-dependency and magnitude of bacterial attachment during transport within an organically contaminated sandy aquifer","docAbstract":"<p><span>The effects of a dilute (ionic strength</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>5</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>−3</sup><span>&nbsp;</span><span>M) plume of treated sewage, with elevated levels (3.9</span><span>&nbsp;</span><span>mg/L) of dissolved organic carbon (DOC), upon the pH-dependency and magnitude of bacterial transport through an iron-laden, quartz sand aquifer (Cape Cod, MA) were evaluated using sets of replicate, static minicolumns. Compared with uncontaminated groundwater, the plume chemistry diminished bacterial attachment under mildly acidic (pH 5.0–6.5) in-situ conditions, in spite of the 5-fold increase in ionic strength and substantively enhanced attachment under more alkaline conditions. The effects of the hydrophobic neutral and total fractions of the plume DOC; modest concentrations of fulvic and humic acids (1.5</span><span>&nbsp;</span><span>mg/L); linear alkyl benzene sulfonate (LAS) (25</span><span>&nbsp;</span><span>mg/L); Imbentin (200</span><span>&nbsp;</span><span>μg/L), a model nonionic surfactant; sulfate (28</span><span>&nbsp;</span><span>mg/L); and calcium (20</span><span>&nbsp;</span><span>mg/L) varied sharply in response to relatively small changes in pH, although the plume constituents collectively decreased the pH-dependency of bacterial attachment. LAS and other hydrophobic neutrals (collectively representing only ∼3% of the plume DOC) had a disproportionately large effect upon bacterial attachment, as did the elevated concentrations of sulfate within the plume. The findings further suggest that the roles of organic plume constituents in transport or bacteria through acidic aquifer sediments can be very different than would be predicted from column studies performed at circumneutral pH and that the inorganic constituents within the plume cannot be ignored.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2009.09.008","issn":"00431354","usgsCitation":"Harvey, R.W., Metge, D.W., Barber, L.B., and Aiken, G.R., 2010, Effects of altered groundwater chemistry upon the pH-dependency and magnitude of bacterial attachment during transport within an organically contaminated sandy aquifer: Water Research, v. 44, no. 4, p. 1062-1071, https://doi.org/10.1016/j.watres.2009.09.008.","productDescription":"10 p.","startPage":"1062","endPage":"1071","numberOfPages":"10","ipdsId":"IP-014986","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":242071,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214351,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2009.09.008"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0684e4b0c8380cd512a0","contributors":{"authors":[{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":703770,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178656,"text":"70178656 - 2010 - Kinetics of selenium release in mine waste from the Meade Peak Phosphatic Shale, Phosphoria Formation, Wooley Valley, Idaho, USA","interactions":[],"lastModifiedDate":"2016-12-05T11:48:25","indexId":"70178656","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of selenium release in mine waste from the Meade Peak Phosphatic Shale, Phosphoria Formation, Wooley Valley, Idaho, USA","docAbstract":"<p id=\"simple-para.0065\">Phosphorite from the Meade Peak Phosphatic Shale member of the Permian Phosphoria Formation has been mined in southeastern Idaho since 1906. Dumps of waste rock from mining operations contain high concentrations of Se which readily leach into nearby streams and wetlands. While the most common mineralogical residence of Se in the phosphatic shale is elemental Se, Se(0), Se is also an integral component of sulfide phases (pyrite, sphalerite and vaesite–pyrite<sub>ss</sub>) in the waste rock. It may also be present as adsorbed selenate and/or selenite, and FeSe<sub>2</sub> and organo-selenides.</p><p id=\"simple-para.0070\">Se release from the waste rock has been observed in field and laboratory experiments. Release rates calculated from waste rock dump and column leachate solutions describe the net, overall Se release from all of the possible sources of Se listed above. In field studies, Se concentration in seepage water (pH 7.4–7.8) from the Wooley Valley Unit 4 dump ranges from 3600&nbsp;µg/L in May to 10&nbsp;µg/L by Sept. Surface water flow, <i>Q</i>, from the seep also declines over the summer, from 2&nbsp;L/s in May to 0.03&nbsp;L/s in Sept. Se flux ([Se]&nbsp;⁎&nbsp;<i>Q</i>) reaches a steady-state of &lt;&nbsp;150&nbsp;mg/day in 1–4&nbsp;months, depending upon the volume of <i>Q</i>. Se release (mg/L) follows a first order reaction with a rate constant, <strong class=\"boldFont\"><i>k</i></strong>,&nbsp;=&nbsp;1.35&nbsp;–&nbsp;6.35e−3&nbsp;h<sup>−&nbsp;1</sup> (11.8–55.6&nbsp;yr<sup>−&nbsp;1</sup>).</p><p id=\"simple-para.0075\">Laboratory experiments were performed with the waste shale in packed bed reactors; residence time varied from 0.09 to 400&nbsp;h and outlet pH&nbsp;∼&nbsp;7.5. Here, Se concentration increased with increasing residence time and release was modeled with a first order reaction with <strong class=\"boldFont\"><i>k&nbsp;</i></strong>=&nbsp;2.19e−3&nbsp;h<sup>−&nbsp;1</sup> (19.2&nbsp;yr<sup>−&nbsp;1</sup>).</p><p id=\"simple-para.0080\">Rate constants reported here fall within an order of magnitude of reported rate constants for oxidation of Se(0) formed by bacterial precipitation. This similarity among rate constants from both field and laboratory studies combined with the direct observation of Se(0) in waste shales of the Phosphoria Formation suggests that oxidation of Se(0) may control steady-state Se concentration in water draining the Wooley Valley waste dump.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.10.011","usgsCitation":"Stillings, L., and Amacher, M.C., 2010, Kinetics of selenium release in mine waste from the Meade Peak Phosphatic Shale, Phosphoria Formation, Wooley Valley, Idaho, USA: Chemical Geology, v. 269, no. 1-2, p. 113-123, https://doi.org/10.1016/j.chemgeo.2009.10.011.","productDescription":"11 p.","startPage":"113","endPage":"123","ipdsId":"IP-017597","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":331461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Wooley Valley","volume":"269","issue":"1-2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58468aece4b04fc80e5236d1","contributors":{"authors":[{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":654731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amacher, Michael C.","contributorId":44949,"corporation":false,"usgs":true,"family":"Amacher","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654732,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70193766,"text":"70193766 - 2010 - Marine electrical resistivity imaging of submarine groundwater discharge: Sensitivity analysis and application in Waquoit Bay, Massachusetts, USA","interactions":[],"lastModifiedDate":"2019-10-21T12:49:34","indexId":"70193766","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Marine electrical resistivity imaging of submarine groundwater discharge: Sensitivity analysis and application in Waquoit Bay, Massachusetts, USA","docAbstract":"<p>Electrical resistivity imaging has been used in coastal settings to characterize fresh submarine groundwater discharge and the position of the freshwater/salt-water interface because of the relation of bulk electrical conductivity to pore-fluid conductivity, which in turn is a function of salinity. Interpretation of tomograms for hydrologic processes is complicated by inversion artifacts, uncertainty associated with survey geometry limitations, measurement errors, and choice of regularization method. Variation of seawater over tidal cycles poses unique challenges for inversion. The capabilities and limitations of resistivity imaging are presented for characterizing the distribution of freshwater and saltwater beneath a beach. The experimental results provide new insight into fresh submarine groundwater discharge at Waquoit Bay National Estuarine Research Reserve, East Falmouth, Massachusetts (USA). Tomograms from the experimental data indicate that fresh submarine groundwater discharge may shut down at high tide, whereas temperature data indicate that the discharge continues throughout the tidal cycle. Sensitivity analysis and synthetic modeling provide insight into resolving power in the presence of a time-varying saline water layer. In general, vertical electrodes and cross-hole measurements improve the inversion results regardless of the tidal level, whereas the resolution of surface arrays is more sensitive to time-varying saline water layer.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0498-z","usgsCitation":"Henderson, R., Day-Lewis, F.D., Abarca, E., Harvey, C.F., Karam, H.N., Liu, L., and Lane, J.W., 2010, Marine electrical resistivity imaging of submarine groundwater discharge: Sensitivity analysis and application in Waquoit Bay, Massachusetts, USA: Hydrogeology Journal, v. 18, no. 1, p. 173-185, https://doi.org/10.1007/s10040-009-0498-z.","productDescription":"13 p.","startPage":"173","endPage":"185","ipdsId":"IP-011944","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":348723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Waquoit Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.54252624511719,\n              41.54815851009314\n            ],\n            [\n              -70.46974182128906,\n              41.54815851009314\n            ],\n            [\n              -70.46974182128906,\n              41.672398925907906\n            ],\n            [\n              -70.54252624511719,\n              41.672398925907906\n            ],\n            [\n              -70.54252624511719,\n              41.54815851009314\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2009-09-10","publicationStatus":"PW","scienceBaseUri":"5a610acde4b06e28e9c256e5","contributors":{"authors":[{"text":"Henderson, Rory rhenders@usgs.gov","contributorId":2083,"corporation":false,"usgs":true,"family":"Henderson","given":"Rory","email":"rhenders@usgs.gov","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":720311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abarca, Elena","contributorId":199905,"corporation":false,"usgs":false,"family":"Abarca","given":"Elena","email":"","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":720312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Charles F.","contributorId":199836,"corporation":false,"usgs":false,"family":"Harvey","given":"Charles","email":"","middleInitial":"F.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":721861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karam, Hanan N.","contributorId":199837,"corporation":false,"usgs":false,"family":"Karam","given":"Hanan","email":"","middleInitial":"N.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":721862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Lanbo","contributorId":199850,"corporation":false,"usgs":false,"family":"Liu","given":"Lanbo","email":"","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":720315,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":720314,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046784,"text":"dds49130 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Minimum Temperature, 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:06:25","indexId":"dds49130","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-30","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Minimum Temperature, 2002","docAbstract":"This tabular data set represents the average daily minimum temperature in Celsius multiplied by 100 for 2002, compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum Temperature for the Conterminous United States for 2002 raster data set produced by the Spatial Climate Analysis Service at Oregon State University.\nThe MRB_E2RF1 catchments are based on a modified version of the Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49130","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Minimum Temperature, 2002: U.S. Geological Survey Data Series 491-30, Dataset, https://doi.org/10.3133/dds49130.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274509,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_tmin02.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbdf67e4b0f81004b77cd4","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480247,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176777,"text":"70176777 - 2010 - Stochastic ecological network occupancy (SENO) models: a new tool for modeling ecological networks across spatial scales","interactions":[],"lastModifiedDate":"2017-04-27T10:40:24","indexId":"70176777","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3592,"text":"Theoretical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic ecological network occupancy (SENO) models: a new tool for modeling ecological networks across spatial scales","docAbstract":"<p><span>Stochastic ecological network occupancy (SENO) models predict the probability that species will occur in a sample of an ecological network. In this review, we introduce SENO models as a means to fill a gap in the theoretical toolkit of ecologists. As input, SENO models use a topological interaction network and rates of colonization and extinction (including consumer effects) for each species. A SENO model then simulates the ecological network over time, resulting in a series of sub-networks that can be used to identify commonly encountered community modules. The proportion of time a species is present in a patch gives its expected probability of occurrence, whose sum across species gives expected species richness. To illustrate their utility, we provide simple examples of how SENO models can be used to investigate how topological complexity, species interactions, species traits, and spatial scale affect communities in space and time. They can categorize species as biodiversity facilitators, contributors, or inhibitors, making this approach promising for ecosystem-based management of invasive, threatened, or exploited species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12080-010-0082-0","usgsCitation":"Lafferty, K.D., and Dunne, J.A., 2010, Stochastic ecological network occupancy (SENO) models: a new tool for modeling ecological networks across spatial scales: Theoretical Ecology, v. 3, no. 3, p. 123-135, https://doi.org/10.1007/s12080-010-0082-0.","productDescription":"13 p.","startPage":"123","endPage":"135","ipdsId":"IP-019703","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":475880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12080-010-0082-0","text":"Publisher Index Page"},{"id":329339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-06-05","publicationStatus":"PW","scienceBaseUri":"57fe8151e4b0824b2d1480be","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":650270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, Jennifer A.","contributorId":28538,"corporation":false,"usgs":true,"family":"Dunne","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193762,"text":"70193762 - 2010 - Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity andinduced-polarization data","interactions":[],"lastModifiedDate":"2019-10-23T17:00:27","indexId":"70193762","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity andinduced-polarization data","docAbstract":"<p><span>Electrical geophysical methods have found wide use in the growing discipline of hydrogeophysics for characterizing the electrical properties of the subsurface and for monitoring subsurface processes in terms of the spatiotemporal changes in subsurface conductivity, chargeability, and source currents they govern. Presently, multichannel and multielectrode data collections systems can collect large data sets in relatively short periods of time. Practitioners, however, often are unable to fully utilize these large data sets and the information they contain because of standard desktop-computer processing limitations. These limitations can be addressed by utilizing the storage and processing capabilities of parallel computing environments. We have developed a parallel distributed-memory forward and inverse modeling algorithm for analyzing resistivity and time-domain induced polar-ization (IP) data. The primary components of the parallel computations include distributed computation of the pole solutions in forward mode, distributed storage and computation of the Jacobian matrix in inverse mode, and parallel execution of the inverse equation solver. We have tested the corresponding parallel code in three efforts: (1) resistivity characterization of the Hanford 300 Area Integrated Field Research Challenge site in Hanford, Washington, U.S.A., (2) resistivity characterization of a volcanic island in the southern Tyrrhenian Sea in Italy, and (3) resistivity and IP monitoring of biostimulation at a Superfund site in Brandywine, Maryland, U.S.A. Inverse analysis of each of these data sets would be limited or impossible in a standard serial computing environment, which underscores the need for parallel high-performance computing to fully utilize the potential of electrical geophysical methods in hydrogeophysical applications.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3475513","usgsCitation":"Johnson, T., Versteeg, R.J., Ward, A., Day-Lewis, F.D., and Revil, A., 2010, Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity andinduced-polarization data: Geophysics, v. 75, no. 4, p. WA27-WA41, https://doi.org/10.1190/1.3475513.","productDescription":"15 p.","startPage":"WA27","endPage":"WA41","ipdsId":"IP-017886","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":349080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acee4b06e28e9c256e7","contributors":{"authors":[{"text":"Johnson, Timothy C.","contributorId":99884,"corporation":false,"usgs":true,"family":"Johnson","given":"Timothy C.","affiliations":[],"preferred":false,"id":722689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Versteeg, Roelof J.","contributorId":199843,"corporation":false,"usgs":false,"family":"Versteeg","given":"Roelof","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, Andy","contributorId":7184,"corporation":false,"usgs":true,"family":"Ward","given":"Andy","email":"","affiliations":[],"preferred":false,"id":722691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":722692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Revil, André","contributorId":38879,"corporation":false,"usgs":true,"family":"Revil","given":"André","affiliations":[],"preferred":false,"id":722693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037416,"text":"70037416 - 2010 - Influences of immunocontraception on time budgets, social behavior, and body condition in feral horses","interactions":[],"lastModifiedDate":"2012-03-12T17:22:09","indexId":"70037416","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":827,"text":"Applied Animal Behaviour Science","active":true,"publicationSubtype":{"id":10}},"title":"Influences of immunocontraception on time budgets, social behavior, and body condition in feral horses","docAbstract":"Managers concerned with shrinking habitats and limited resources for wildlife seek effective tools for limiting population growth in some species. Fertility control is one such tool, yet little is known about its impacts on the behavioral ecology of wild, free-roaming animals. We investigated influences of the immunocontraceptive porcine zona pellucida (PZP) on individual and social behavior in bands of feral horses (Equus caballus) in three discrete populations and used 14 hierarchical mixed effect models to gain insight into the influences of PZP treatment on feral horse behavior. A model of body condition was the strongest predictor of feeding, resting, maintenance, and social behaviors, with treated females allocating their time similarly to control females. Time spent feeding declined 11.4% from low condition to high condition females (F<sub>1,154</sub> = 26.427, P &lt; 0.001) and was partially reciprocated by a 6.0% increase in resting (F<sub>1,154</sub> = 7.629, P = 0.006), 0.9% increase in maintenance (F<sub>1,154</sub> = 7.028, P = 0.009), and 1.8% increase in social behavior (F<sub>1,154</sub> = 15.064, P &lt; 0.001). There was no difference detected in body condition of treated versus control females (F<sub>1,154</sub> = 0.033, P = 0.856), but females with a dependent foal had lower body condition than those without a foal (F<sub>1,154</sub> = 4.512, P = 0.038). Herding behavior was best explained by a model of treatment and the interaction of band fidelity and foal presence (AIC<sub>c</sub> weight = 0.660) which estimated no difference in rate of herding behavior directed toward control versus treated females (F<sub>1,102</sub> = 0.196, P = 0.659), but resident females without a dependent foal were herded 50.9% more than resident females with a foal (F<sub>3,102</sub> = 8.269, P &lt; 0.001). Treated females received 54.5% more reproductive behaviors from stallions than control mares (F<sub>1,105</sub> = 5.155, P = 0.025), with the model containing only treatment being the most-supported (AIC<sub>c</sub> weight = 0.530). Treated and control females received harem-tending behaviors from stallions equally (F<sub>1,105</sub> = 0.001, P = 0.969) and agonistic behaviors from stallions equally (F<sub>1,105</sub> &lt; 0.001, P = 0.986). Direct effects of PZP treatment on the behavior of feral horses appear to be limited primarily to reproductive behaviors and most other differences detected were attributed to the effects of body condition, band fidelity, or foal presence. PZP is a promising alternative to traditional hormone-based contraceptives and appears to contribute few short-term behavioral modifications in feral horses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Animal Behaviour Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.applanim.2010.01.015","issn":"01681591","usgsCitation":"Ransom, J., Cade, B., and Hobbs, N., 2010, Influences of immunocontraception on time budgets, social behavior, and body condition in feral horses: Applied Animal Behaviour Science, v. 124, no. 1-2, p. 51-60, https://doi.org/10.1016/j.applanim.2010.01.015.","startPage":"51","endPage":"60","numberOfPages":"10","costCenters":[],"links":[{"id":217209,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.applanim.2010.01.015"},{"id":245136,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3ba2e4b0c8380cd62700","contributors":{"authors":[{"text":"Ransom, J.I.","contributorId":68970,"corporation":false,"usgs":true,"family":"Ransom","given":"J.I.","email":"","affiliations":[],"preferred":false,"id":460955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, B.S.","contributorId":47315,"corporation":false,"usgs":true,"family":"Cade","given":"B.S.","affiliations":[],"preferred":false,"id":460954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, N.T.","contributorId":9498,"corporation":false,"usgs":true,"family":"Hobbs","given":"N.T.","email":"","affiliations":[],"preferred":false,"id":460953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046736,"text":"dds49114 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Normalized Atmospheric Deposition for 2002, Ammonium (NH4)","interactions":[],"lastModifiedDate":"2013-11-25T16:07:48","indexId":"dds49114","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-14","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Normalized Atmospheric Deposition for 2002, Ammonium (NH4)","docAbstract":"This tabular data set represents the average normalized (wet) deposition, in kilograms per square kilometer multiplied by 100, of ammonium (NH4) for the year 2002 compiled for every MRB_E2RF1 catchment of the Major River Basins (MRBs, Crawford and others, 2006). Estimates of NH4 deposition are based on National Atmospheric Deposition Program (NADP) measurements (B. Larsen, U.S. Geological Survey, written. commun., 2007). De-trending methods applied to the year 2002 are described in Alexander and others, 2001. NADP site selection met the following criteria: stations must have records from 1995 to 2002 and have a minimum of 30 observations. The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49114","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Normalized Atmospheric Deposition for 2002, Ammonium (NH4): U.S. Geological Survey Data Series 491-14, Dataset, https://doi.org/10.3133/dds49114.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274363,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_nh4.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e4e4b0ca1848338a07","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480138,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037712,"text":"70037712 - 2010 - Dacite petrogenesis on mid-ocean ridges: Evidence for oceanic crustal melting and assimilation","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037712","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Dacite petrogenesis on mid-ocean ridges: Evidence for oceanic crustal melting and assimilation","docAbstract":"Whereas the majority of eruptions at oceanic spreading centers produce lavas with relatively homogeneous mid-ocean ridge basalt (MORB) compositions, the formation of tholeiitic andesites and dacites at mid-ocean ridges (MORs) is a petrological enigma. Eruptions of MOR high-silica lavas are typically associated with ridge discontinuities and have produced regionally significant volumes of lava. Andesites and dacites have been observed and sampled at several locations along the global MOR system; these include propagating ridge tips at ridge-transform intersections on the Juan de Fuca Ridge and eastern Gal??pagos spreading center, and at the 9??N overlapping spreading center on the East Pacific Rise. Despite the formation of these lavas at various ridges, MOR dacites show remarkably similar major element trends and incompatible trace element enrichments, suggesting that similar processes are controlling their chemistry. Although most geochemical variability in MOR basalts is consistent with low-pressure fractional crystallization of various mantle-derived parental melts, our geochemical data for MOR dacitic glasses suggest that contamination from a seawater-altered component is important in their petrogenesis. MOR dacites are characterized by elevated U, Th, Zr, and Hf, low Nb and Ta concentrations relative to rare earth elements (REE), and Al2O3, K2O, and Cl concentrations that are higher than expected from low-pressure fractional crystallization alone. Petrological modeling of MOR dacites suggests that partial melting and assimilation are both integral to their petrogenesis. Extensive fractional crystallization of a MORB parent combined with partial melting and assimilation of amphibole-bearing altered crust produces a magma with a geochemical signature similar to a MOR dacite. This supports the hypothesis that crustal assimilation is an important process in the formation of highly evolved MOR lavas and may be significant in the generation of evolved MORB in general. Additionally, these processes are likely to be more common in regions of episodic magma supply and enhanced magma-crust interaction such as at the ends of ridge segments. ?? The Author 2010. Published by Oxford University Press. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1093/petrology/egq056","issn":"00223530","usgsCitation":"Wanless, V., Perfit, M., Ridley, W., and Klein, E., 2010, Dacite petrogenesis on mid-ocean ridges: Evidence for oceanic crustal melting and assimilation: Journal of Petrology, v. 51, no. 12, p. 2377-2410, https://doi.org/10.1093/petrology/egq056.","startPage":"2377","endPage":"2410","numberOfPages":"34","costCenters":[],"links":[{"id":475859,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egq056","text":"Publisher Index Page"},{"id":245887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217914,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/petrology/egq056"}],"volume":"51","issue":"12","noUsgsAuthors":false,"publicationDate":"2010-12-02","publicationStatus":"PW","scienceBaseUri":"5059fd57e4b0c8380cd4e7ab","contributors":{"authors":[{"text":"Wanless, V.D.","contributorId":30487,"corporation":false,"usgs":true,"family":"Wanless","given":"V.D.","email":"","affiliations":[],"preferred":false,"id":462446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perfit, M.R.","contributorId":45467,"corporation":false,"usgs":true,"family":"Perfit","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":462447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridley, W.I.","contributorId":72122,"corporation":false,"usgs":true,"family":"Ridley","given":"W.I.","email":"","affiliations":[],"preferred":false,"id":462448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klein, E.","contributorId":97356,"corporation":false,"usgs":true,"family":"Klein","given":"E.","email":"","affiliations":[],"preferred":false,"id":462449,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037588,"text":"70037588 - 2010 - Stratigraphic response across a structurally dynamic shelf: The latest guadalupian composite sequence at Walnut Canyon, New Mexico, U.S.A","interactions":[],"lastModifiedDate":"2012-03-12T17:21:59","indexId":"70037588","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphic response across a structurally dynamic shelf: The latest guadalupian composite sequence at Walnut Canyon, New Mexico, U.S.A","docAbstract":"The uppermost Yates and Tansill formations (Late Permian), as exposed along Walnut Canyon in Carlsbad Caverns National Park, New Mexico, USA, provide a unique opportunity to document the depositional architecture of a progradational, oversteepened, and mechanically failure-prone carbonate platform. Detailed facies mapping permitted critical assessment of depositional processes operating along this structurally dynamic platform margin. At the shelf crest, thick (12 m), vertically stacked fenestral-pisolite-tepee complexes indicate a stable shoreline. Early lithification of sediments and extensive cementation fostered rapid vertical accretion and allowed the shelf crest to easily adjust to base-level oscillations by stepping landward, stepping seaward, or aggrading. This production imbalance-in combination with syndepositional brittle failure and down-to-the-basin tilting(< 5??)-generated 22 m of depositional relief as measured from nearly horizontal (< 2??) shelf-crest toplap to an outer-shelf downlap surface (< 1??). Mechanical failure of Capitan-equivalent back-reef strata is constrained by stratigraphic architecture, fracture properties, and a highly refined fusulinid biostratigraphic framework. Where fractures tip out, down-to-the-basin rotation is often observed with concurrent seaward thickening of overlying beds, indicating that such fractures functioned as a syndepositional hinge. A facies disjunction and horizontally juxtaposed fusulinid zonation were documented across an 80?? seaward-dipping dilational fracture filled with polymict breccia. An overlying damage zone consisting of spar-cemented fractures nested within silt-filled fractures illustrates periodic reactivation. Field relationships indicate that the dilational fracture approximates a paleoescarpment that resulted from catastrophic failure of the Capitan platform margin. Younger strata onlapped the paleoescarpment and gradually filled the reentrant. This mechanically compromised paleoescarpment was subsequently reactivated during the latest Guadalupian lowstand and was subaerially filled by siliciclastics and polymict breccia derived from the platform top. Results from Walnut Canyon indicate that shelf crest aggradation dominantly controlled the shelf-crest to outer-shelf profile, although this was temporarily modified by brittle failure and down-to-the-basin tilting, and mass wasting. Copyright ?? 2010, SEPM (Society for Sedimentary Geology).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sedimentary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2110/jsr.2010.073","issn":"15271404","usgsCitation":"Rush, J., and Kerans, C., 2010, Stratigraphic response across a structurally dynamic shelf: The latest guadalupian composite sequence at Walnut Canyon, New Mexico, U.S.A: Journal of Sedimentary Research, v. 80, no. 9-10, p. 808-828, https://doi.org/10.2110/jsr.2010.073.","startPage":"808","endPage":"828","numberOfPages":"21","costCenters":[],"links":[{"id":217936,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/jsr.2010.073"},{"id":245909,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2010-08-05","publicationStatus":"PW","scienceBaseUri":"505b9928e4b08c986b31c29a","contributors":{"authors":[{"text":"Rush, J.","contributorId":62059,"corporation":false,"usgs":true,"family":"Rush","given":"J.","email":"","affiliations":[],"preferred":false,"id":461764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kerans, C.","contributorId":38824,"corporation":false,"usgs":true,"family":"Kerans","given":"C.","email":"","affiliations":[],"preferred":false,"id":461763,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034001,"text":"70034001 - 2010 - Probable causes of increasing brucellosis in free-ranging elk of the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2018-10-20T10:11:21","indexId":"70034001","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Probable causes of increasing brucellosis in free-ranging elk of the Greater Yellowstone Ecosystem","docAbstract":"<p>While many wildlife species are threatened, some populations have recovered from previous overexploitation, and data linking these population increases with disease dynamics are limited. We present data suggesting that free-ranging elk (Cervus elaphus) are a maintenance host for Brucella abortus in new areas of the Greater Yellowstone Ecosystem (GYE). Brucellosis seroprevalence in free-ranging elk increased from 0-7% in 1991-1992 to 8-20% in 2006-2007 in four of six herd units around the GYE. These levels of brucellosis are comparable to some herd units where elk are artificially aggregated on supplemental feeding grounds. There are several possible mechanisms for this increase that we evaluated using statistical and population modeling approaches. Simulations of an age-structured population model suggest that the observed levels of seroprevalence are unlikely to be sustained by dispersal from supplemental feeding areas with relatively high seroprevalence or an older age structure. Increases in brucellosis seroprevalence and the total elk population size in areas with feeding grounds have not been statistically detectable. Meanwhile, the rate of seroprevalence increase outside the feeding grounds was related to the population size and density of each herd unit. Therefore, the data suggest that enhanced elk-to-elk transmission in free-ranging populations may be occurring due to larger winter elk aggregations. Elk populations inside and outside of the GYE that traditionally did not maintain brucellosis may now be at risk due to recent population increases. In particular, some neighboring populations of Montana elk were 5-9 times larger in 2007 than in the 1970s, with some aggregations comparable to the Wyoming feeding-ground populations. Addressing the unintended consequences of these increasing populations is complicated by limited hunter access to private lands, which places many ungulate populations out of administrative control. Agency-landowner hunting access partnerships and the protection of large predators are two management strategies that may be used to target high ungulate densities in private refuges and reduce the current and future burden of disease.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-2062.1","issn":"10510761","usgsCitation":"Cross, P.C., Cole, E., Dobson, A.P., Edwards, W., Hamlin, K., Luikart, G., Middleton, A., Scurlock, B., and White, P., 2010, Probable causes of increasing brucellosis in free-ranging elk of the Greater Yellowstone Ecosystem: Ecological Applications, v. 20, no. 1, p. 278-288, https://doi.org/10.1890/08-2062.1.","productDescription":"11 p.","startPage":"278","endPage":"288","numberOfPages":"11","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":498901,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/08-2062.1","text":"Publisher Index Page"},{"id":216863,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-2062.1"},{"id":244761,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8cc0e4b0c8380cd7e881","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":443600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, E.K.","contributorId":9087,"corporation":false,"usgs":true,"family":"Cole","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":443594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobson, A. P.","contributorId":9992,"corporation":false,"usgs":false,"family":"Dobson","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":443595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, W.H.","contributorId":43718,"corporation":false,"usgs":true,"family":"Edwards","given":"W.H.","affiliations":[],"preferred":false,"id":443598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamlin, K.L.","contributorId":37174,"corporation":false,"usgs":true,"family":"Hamlin","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":443597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luikart, G.","contributorId":25515,"corporation":false,"usgs":true,"family":"Luikart","given":"G.","affiliations":[],"preferred":false,"id":443596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Middleton, A.D.","contributorId":93730,"corporation":false,"usgs":true,"family":"Middleton","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":443602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scurlock, B.M.","contributorId":44742,"corporation":false,"usgs":true,"family":"Scurlock","given":"B.M.","affiliations":[],"preferred":false,"id":443599,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":443601,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70037112,"text":"70037112 - 2010 - Latitudinal variations in Titan's methane and haze from Cassini VIMS observations","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037112","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":"Latitudinal variations in Titan's methane and haze from Cassini VIMS observations","docAbstract":"We analyze observations taken with Cassini's Visual and Infrared Mapping Spectrometer (VIMS), to determine the current methane and haze latitudinal distribution between 60??S and 40??N. The methane variation was measured primarily from its absorption band at 0.61 ??m, which is optically thin enough to be sensitive to the methane abundance at 20-50 km altitude. Haze characteristics were determined from Titan's 0.4-1.6 ??m spectra, which sample Titan's atmosphere from the surface to 200 km altitude. Radiative transfer models based on the haze properties and methane absorption profiles at the Huygens site reproduced the observed VIMS spectra and allowed us to retrieve latitude variations in the methane abundance and haze. We find the haze variations can be reproduced by varying only the density and single scattering albedo above 80 km altitude. There is an ambiguity between methane abundance and haze optical depth, because higher haze optical depth causes shallower methane bands; thus a family of solutions is allowed by the data. We find that haze variations alone, with a constant methane abundance, can reproduce the spatial variation in the methane bands if the haze density increases by 60% between 20??S and 10??S (roughly the sub-solar latitude) and single scattering absorption increases by 20% between 60??S and 40??N. On the other hand, a higher abundance of methane between 20 and 50 km in the summer hemisphere, as much as two times that of the winter hemisphere, is also possible, if the haze variations are minimized. The range of possible methane variations between 27??S and 19??N is consistent with condensation as a result of temperature variations of 0-1.5 K at 20-30 km. Our analysis indicates that the latitudinal variations in Titan's visible to near-IR albedo, the north/south asymmetry (NSA), result primarily from variations in the thickness of the darker haze layer, detected by Huygens DISR, above 80 km altitude. If we assume little to no latitudinal methane variations we can reproduce the NSA wavelength signatures with the derived haze characteristics. We calculate the solar heating rate as a function of latitude and derive variations of ???10-15% near the sub-solar latitude resulting from the NSA. Most of the latitudinal variations in the heating rate stem from changes in solar zenith angle rather than compositional variations. ?? 2009 Elsevier Inc. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2009.11.003","issn":"00191035","usgsCitation":"Penteado, P., Griffith, C., Tomasko, M., Engel, S., See, C., Doose, L., Baines, K.H., Brown, R.H., Buratti, B.J., Clark, R., Nicholson, P., and Sotin, C., 2010, Latitudinal variations in Titan's methane and haze from Cassini VIMS observations: Icarus, v. 206, no. 1, p. 352-365, https://doi.org/10.1016/j.icarus.2009.11.003.","startPage":"352","endPage":"365","numberOfPages":"14","costCenters":[],"links":[{"id":217047,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2009.11.003"},{"id":244958,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4588e4b0c8380cd673d4","contributors":{"authors":[{"text":"Penteado, P.F.","contributorId":7534,"corporation":false,"usgs":true,"family":"Penteado","given":"P.F.","email":"","affiliations":[],"preferred":false,"id":459440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, C.A.","contributorId":10141,"corporation":false,"usgs":true,"family":"Griffith","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":459441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tomasko, M.G.","contributorId":94861,"corporation":false,"usgs":true,"family":"Tomasko","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":459449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engel, S.","contributorId":105562,"corporation":false,"usgs":true,"family":"Engel","given":"S.","email":"","affiliations":[],"preferred":false,"id":459451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"See, C.","contributorId":74203,"corporation":false,"usgs":true,"family":"See","given":"C.","email":"","affiliations":[],"preferred":false,"id":459448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doose, L.","contributorId":13067,"corporation":false,"usgs":true,"family":"Doose","given":"L.","affiliations":[],"preferred":false,"id":459442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459445,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":459447,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, R.","contributorId":100780,"corporation":false,"usgs":true,"family":"Clark","given":"R.","affiliations":[],"preferred":false,"id":459450,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nicholson, P.","contributorId":24550,"corporation":false,"usgs":true,"family":"Nicholson","given":"P.","affiliations":[],"preferred":false,"id":459444,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":459446,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70043784,"text":"70043784 - 2010 - Analyzing debris flows with the statistically calibrated empirical model LAHARZ in southeastern Arizona, USA","interactions":[],"lastModifiedDate":"2020-12-02T15:03:26.875496","indexId":"70043784","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing debris flows with the statistically calibrated empirical model LAHARZ in southeastern Arizona, USA","docAbstract":"<p><span>Hazard-zone delineation for extreme events is essential for floodplain management near mountain fronts in arid and semiarid regions. On 31 July 2006, unprecedented debris flows occurred in the Santa Catalina Mountains of southeastern Arizona following extreme multiday precipitation (recurrence interval &gt;</span><span>&nbsp;</span><span>1000</span><span>&nbsp;</span><span>years for 4-day precipitation). Most mobilized sediment contributing to debris flows was derived from shallow-seated failures of colluvium on steep slopes. A total of 435 slope failures in the southern Santa Catalina Mountains released 1.34</span><span>&nbsp;</span><span>million</span><span>&nbsp;</span><span>Mg of sediment into the channels of 10 drainage basins. Five drainages produced debris flows that moved to the apices of alluvial fans on the southern edge of the mountain front, damaging infrastructure and aggrading channels to reduce future flood conveyance. Using the statistically calibrated, empirical debris-flow model LAHARZ and modified model coefficients developed to better match conditions in southeastern Arizona, we predicted the approximate area of deposition and travel distance in comparison to observed depositional areas and travel distance for seven debris flows. Two of the modeled debris flows represented single slope failures that terminated downslope with no additive influence of other debris flows or streamflow flooding. Five of the simulated debris flows represented the aggregation of multiple slope failures and streamflow flooding into multiple debris-flow pulses. Because LAHARZ is a debris-flow hazard-zone delineation tool, the complexity of alternating transport and deposition zones in channels with abrupt expansions and contractions reduces the applicability of the model in some drainage basins.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2010.02.022","usgsCitation":"Magirl, C.S., Griffiths, P.G., and Webb, R., 2010, Analyzing debris flows with the statistically calibrated empirical model LAHARZ in southeastern Arizona, USA: Geomorphology, v. 119, no. 1-2, p. 111-124, https://doi.org/10.1016/j.geomorph.2010.02.022.","productDescription":"14 p.","startPage":"111","endPage":"124","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011799","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"links":[{"id":274285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"119","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ceb05fe4b044272b8e8914","contributors":{"authors":[{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffiths, Peter G. 0000-0002-8663-8907 pggriffi@usgs.gov","orcid":"https://orcid.org/0000-0002-8663-8907","contributorId":187,"corporation":false,"usgs":true,"family":"Griffiths","given":"Peter","email":"pggriffi@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":474236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":474237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037557,"text":"70037557 - 2010 - The Paleogene California River: Evidence of Mojave-Uinta paleodrainage from U-Pb ages of detrital zircons","interactions":[],"lastModifiedDate":"2012-03-12T17:21:59","indexId":"70037557","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"The Paleogene California River: Evidence of Mojave-Uinta paleodrainage from U-Pb ages of detrital zircons","docAbstract":"U-Pb age spectra of detrital zircons in samples from the Paleogene Colton Formation in the Uinta Basin of northeastern Utah and the Late Cretaceous McCoy Mountains Formation of southwestern Arizona (United States) are statistically indistinguishable. This finding refutes previous inferences that arkosic detritus of the Colton was derived from cratonic basement exposed by Laramide tectonism, and instead establishes the Cordilleran magmatic arc (which also provided sediment to the McCoy Mountains Formation) as the primary source. Given the existence of a north-south-trending drainage divide in eastern Nevada and the north-northeast direction of Laramide paleoflow throughout Arizona and southern Utah, we infer that a large river system headed in the arc of the Mojave region flowed northeast ~700 km to the Uinta Basin. Named after its source area, this Paleogene California River would have been equal in scale but opposite in direction to the modern Green River-Colorado River system, and the timing and causes of the subsequent drainage reversal are important constraints on the tectonic evolution of the Cordillera and the Colorado Plateau. ?? 2010 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G31250.1","issn":"00917613","usgsCitation":"Davis, S., Dickinson, W., Gehrels, G.E., Spencer, J., Lawton, T., and Carroll, A., 2010, The Paleogene California River: Evidence of Mojave-Uinta paleodrainage from U-Pb ages of detrital zircons: Geology, v. 38, no. 10, p. 931-934, https://doi.org/10.1130/G31250.1.","startPage":"931","endPage":"934","numberOfPages":"4","costCenters":[],"links":[{"id":487880,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/9g5597kp","text":"External Repository"},{"id":217934,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G31250.1"},{"id":245907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba872e4b08c986b321c27","contributors":{"authors":[{"text":"Davis, S.J.","contributorId":71423,"corporation":false,"usgs":true,"family":"Davis","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":461589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickinson, W.R.","contributorId":64801,"corporation":false,"usgs":true,"family":"Dickinson","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":461588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gehrels, G. E.","contributorId":9660,"corporation":false,"usgs":true,"family":"Gehrels","given":"G.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":461586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, J.E.","contributorId":91542,"corporation":false,"usgs":true,"family":"Spencer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":461590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawton, T.F.","contributorId":28841,"corporation":false,"usgs":true,"family":"Lawton","given":"T.F.","email":"","affiliations":[],"preferred":false,"id":461587,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carroll, A.R.","contributorId":103125,"corporation":false,"usgs":true,"family":"Carroll","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":461591,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037348,"text":"70037348 - 2010 - Cassini spectra and photometry 0.25–5.1 μm of the small inner satellites of Saturn","interactions":[],"lastModifiedDate":"2015-03-23T13:21:43","indexId":"70037348","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":"Cassini spectra and photometry 0.25–5.1 μm of the small inner satellites of Saturn","docAbstract":"The nominal tour of the Cassini mission enabled the first spectra and solar phase curves of the small inner satellites of Saturn. We present spectra from the Visual Infrared Mapping Spectrometer (VIMS) and the Imaging Science Subsystem (ISS) that span the 0.25-5.1 ??m spectral range. The composition of Atlas, Pandora, Janus, Epimetheus, Calypso, and Telesto is primarily water ice, with a small amount (???5%) of contaminant, which most likely consists of hydrocarbons. The optical properties of the \"shepherd\" satellites and the coorbitals are tied to the A-ring, while those of the Tethys Lagrangians are tied to the E-ring of Saturn. The color of the satellites becomes progressively bluer with distance from Saturn, presumably from the increased influence of the E-ring; Telesto is as blue as Enceladus. Janus and Epimetheus have very similar spectra, although the latter appears to have a thicker coating of ring material. For at least four of the satellites, we find evidence for the spectral line at 0.68 ??m that Vilas et al. [Vilas, F., Larsen, S.M., Stockstill, K.R., Gaffley, M.J., 1996. Icarus 124, 262-267] attributed to hydrated iron minerals on Iapetus and Hyperion. However, it is difficult to produce a spectral mixing model that includes this component. We find no evidence for CO<sub>2</sub> on any of the small satellites. There was a sufficient excursion in solar phase angle to create solar phase curves for Janus and Telesto. They bear a close similarity to the solar phase curves of the medium-sized inner icy satellites. Preliminary spectral modeling suggests that the contaminant on these bodies is not the same as the exogenously placed low-albedo material on Iapetus, but is rather a native material. The lack of CO<sub>2</sub> on the small inner satellites also suggests that their low-albedo material is distinct from that on Iapetus, Phoebe, and Hyperion. ?? 2009 Elsevier Inc.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.08.015","issn":"00191035","usgsCitation":"Buratti, B.J., Bauer, J., Hicks, M., Mosher, J.A., Filacchione, G., Momary, T., Baines, K.H., Brown, R.H., Clark, R.N., and Nicholson, P.D., 2010, Cassini spectra and photometry 0.25–5.1 μm of the small inner satellites of Saturn: Icarus, v. 206, no. 2, p. 524-536, https://doi.org/10.1016/j.icarus.2009.08.015.","productDescription":"13 p.","startPage":"524","endPage":"536","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":245227,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217292,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2009.08.015"}],"otherGeospatial":"Saturn","volume":"206","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f38fe4b0c8380cd4b8a5","contributors":{"authors":[{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":460574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauer, J.M.","contributorId":88543,"corporation":false,"usgs":true,"family":"Bauer","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":460575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, M.D.","contributorId":7045,"corporation":false,"usgs":true,"family":"Hicks","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":460567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosher, J. A.","contributorId":34605,"corporation":false,"usgs":false,"family":"Mosher","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Filacchione, G.","contributorId":48740,"corporation":false,"usgs":true,"family":"Filacchione","given":"G.","affiliations":[],"preferred":false,"id":460572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Momary, T.","contributorId":17415,"corporation":false,"usgs":true,"family":"Momary","given":"T.","affiliations":[],"preferred":false,"id":460568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":460571,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":460569,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":460566,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":460573,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70037468,"text":"70037468 - 2010 - Laboratory evaluation of a walleye (Sander vitreus) bioenergetics model","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037468","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1651,"text":"Fish Physiology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory evaluation of a walleye (Sander vitreus) bioenergetics model","docAbstract":"Walleye (Sander vitreus) is an important game fish throughout much of North America. We evaluated the performance of the Wisconsin bioenergetics model for walleye in the laboratory. Walleyes were fed rainbow smelt (Osmerus mordax) in four laboratory tanks during a 126-day experiment. Based on a statistical comparison of bioenergetics model predictions of monthly consumption with the observed monthly consumption, we concluded that the bioenergetics model significantly underestimated food consumption by walleye in the laboratory. The degree of underestimation appeared to depend on the feeding rate. For the tank with the lowest feeding rate (1.4% of walleye body weight per day), the agreement between the bioenergetics model prediction of cumulative consumption over the entire 126-day experiment and the observed cumulative consumption was remarkably close, as the prediction was within 0.1% of the observed cumulative consumption. Feeding rates in the other three tanks ranged from 1.6% to 1.7% of walleye body weight per day, and bioenergetics model predictions of cumulative consumption over the 126-day experiment ranged between 11 and 15% less than the observed cumulative consumption. ?? 2008 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fish Physiology and Biochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10695-008-9278-2","issn":"09201742","usgsCitation":"Madenjian, C., Wang, C., O’Brien, T.P., Holuszko, M., Ogilvie, L., and Stickel, R., 2010, Laboratory evaluation of a walleye (Sander vitreus) bioenergetics model: Fish Physiology and Biochemistry, v. 36, no. 1, p. 45-53, https://doi.org/10.1007/s10695-008-9278-2.","startPage":"45","endPage":"53","numberOfPages":"9","costCenters":[],"links":[{"id":217036,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10695-008-9278-2"},{"id":244947,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-11-02","publicationStatus":"PW","scienceBaseUri":"505a4109e4b0c8380cd65254","contributors":{"authors":[{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":461211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, C.","contributorId":50689,"corporation":false,"usgs":true,"family":"Wang","given":"C.","email":"","affiliations":[],"preferred":false,"id":461209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Brien, T. P.","contributorId":22146,"corporation":false,"usgs":true,"family":"O’Brien","given":"T.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":461206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holuszko, M.J.","contributorId":35943,"corporation":false,"usgs":true,"family":"Holuszko","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":461208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogilvie, L.M.","contributorId":33682,"corporation":false,"usgs":true,"family":"Ogilvie","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":461207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stickel, R.G.","contributorId":61229,"corporation":false,"usgs":true,"family":"Stickel","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":461210,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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