Biomass burning in the Alaskan interior is already a major disturbance and source of carbon emissions, and is likely to increase in response to the warming and drying predicted for the future climate. In addition to quantifying changes to the spatial and temporal patterns of burned areas, observing variations in severity is the key to studying the impact of changes to the fire regime on carbon cycling, energy budgets, and post-fire succession. Remote sensing indices of fire severity have not consistently been well-correlated with in situ observations of important severity characteristics in Alaskan black spruce stands, including depth of burning of the surface organic layer. The incorporation of ancillary data such as in situ observations and GIS layers with spectral data from Landsat TM/ETM+ greatly improved efforts to map the reduction of the organic layer in burned black spruce stands. Using a regression tree approach, the R2 of the organic layer depth reduction models was 0.60 and 0.55 (pb0.01) for relative and absolute depth reduction, respectively. All of the independent variables used by the regression tree to estimate burn depth can be obtained independently of field observations. Implementation of a gradient boosting algorithm improved the R2 to 0.80 and 0.79 (pb0.01) for absolute and relative organic layer depth reduction, respectively. Independent variables used in the regression tree model of burn depth included topographic position, remote sensing indices related to soil and vegetation characteristics, timing of the fire event, and meteorological data. Post-fire organic layer depth characteristics are determined for a large (N200,000 ha) fire to identify areas that are potentially vulnerable to a shift in post-fire succession. This application showed that 12% of this fire event experienced fire severe enough to support a change in post-fire succession. We conclude that non-parametric models and ancillary data are useful in the modeling of the surface organic layer fire depth. Because quantitative differences in post-fire surface characteristics do not directly influence spectral properties, these modeling techniques provide better information than the use of remote sensing data alone.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.02.001","issn":"00344257","usgsCitation":"Barrett, K.M., Kasischke, E., McGuire, A., Turetsky, M., and Kane, E., 2010, Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data: Remote Sensing of Environment, v. 114, no. 7, p. 1494-1503, https://doi.org/10.1016/j.rse.2010.02.001.","productDescription":"10 p.","startPage":"1494","endPage":"1503","numberOfPages":"10","ipdsId":"IP-018226","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":243722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215887,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.02.001"}],"volume":"114","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5bf8e4b0c8380cd6f937","contributors":{"authors":[{"text":"Barrett, Kirsten M. kbarrett@usgs.gov","contributorId":2979,"corporation":false,"usgs":true,"family":"Barrett","given":"Kirsten","email":"kbarrett@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":446347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasischke, E.S.","contributorId":61201,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":446349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":446346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, M.R.","contributorId":107470,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":446350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, E.S.","contributorId":42275,"corporation":false,"usgs":true,"family":"Kane","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":446348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034550,"text":"70034550 - 2010 - A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70034550","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2461,"text":"Journal of Sound and Vibration","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites","docAbstract":"This work discusses a Bayesian approach to approximating the distribution of parameters governing nonlinear structural systems. Specifically, we use a Markov Chain Monte Carlo method for sampling the posterior parameter distributions thus producing both point and interval estimates for parameters. The method is first used to identify both linear and nonlinear parameters in a multiple degree-of-freedom structural systems using free-decay vibrations. The approach is then applied to the problem of identifying the location, size, and depth of delamination in a model composite beam. The influence of additive Gaussian noise on the response data is explored with respect to the quality of the resulting parameter estimates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sound and Vibration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jsv.2010.02.004","issn":"0022460X","usgsCitation":"Nichols, J., Link, W., Murphy, K., and Olson, C., 2010, A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites: Journal of Sound and Vibration, v. 329, no. 15, p. 2995-3007, https://doi.org/10.1016/j.jsv.2010.02.004.","startPage":"2995","endPage":"3007","numberOfPages":"13","costCenters":[],"links":[{"id":215860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jsv.2010.02.004"},{"id":243692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"329","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2c8e4b0c8380cd45c4a","contributors":{"authors":[{"text":"Nichols, J.M.","contributorId":18080,"corporation":false,"usgs":true,"family":"Nichols","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":446343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":446342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, K.D.","contributorId":50004,"corporation":false,"usgs":true,"family":"Murphy","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":446344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, C.C.","contributorId":50374,"corporation":false,"usgs":true,"family":"Olson","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":446345,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034445,"text":"70034445 - 2010 - Functional response models to estimate feeding rates of wading birds","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034445","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Functional response models to estimate feeding rates of wading birds","docAbstract":"Forager (predator) abundance may mediate feeding rates in wading birds. Yet, when modeled, feeding rates are typically derived from the purely prey-dependent Holling Type II (HoII) functional response model. Estimates of feeding rates are necessary to evaluate wading bird foraging strategies and their role in food webs; thus, models that incorporate predator dependence warrant consideration. Here, data collected in a mangrove swamp in Puerto Rico in 1994 were reanalyzed, reporting feeding rates for mixed-species flocks after comparing fits of the HoII model, as used in the original work, to the Beddington-DeAngelis (BD) and Crowley-Martin (CM) predator-dependent models. Model CM received most support (AIC c wi = 0.44), but models BD and HoII were plausible alternatives (AIC c ??? 2). Results suggested that feeding rates were constrained by predator abundance. Reductions in rates were attributed to interference, which was consistent with the independently observed increase in aggression as flock size increased (P < 0.05). Substantial discrepancies between the CM and HoII models were possible depending on flock sizes used to model feeding rates. However, inferences derived from the HoII model, as used in the original work, were sound. While Holling's Type II and other purely prey-dependent models have fostered advances in wading bird foraging ecology, evaluating models that incorporate predator dependence could lead to a more adequate description of data and processes of interest. The mechanistic bases used to derive models used here lead to biologically interpretable results and advance understanding of wading bird foraging ecology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.033.0104","issn":"15244695","usgsCitation":"Collazo, J., Gilliam, J., and Miranda-Castro, L., 2010, Functional response models to estimate feeding rates of wading birds: Waterbirds, v. 33, no. 1, p. 33-40, https://doi.org/10.1675/063.033.0104.","startPage":"33","endPage":"40","numberOfPages":"8","costCenters":[],"links":[{"id":475864,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.033.0104","text":"Publisher Index Page"},{"id":244663,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216774,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.033.0104"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1415e4b0c8380cd548ce","contributors":{"authors":[{"text":"Collazo, J.A.","contributorId":35039,"corporation":false,"usgs":true,"family":"Collazo","given":"J.A.","affiliations":[],"preferred":false,"id":445817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliam, J.F.","contributorId":58495,"corporation":false,"usgs":true,"family":"Gilliam","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":445818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda-Castro, L.","contributorId":92080,"corporation":false,"usgs":true,"family":"Miranda-Castro","given":"L.","email":"","affiliations":[],"preferred":false,"id":445819,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034370,"text":"70034370 - 2010 - Calibration and use of continuous heat-type automated seepage meters for submarine groundwater discharge measurements","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034370","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Calibration and use of continuous heat-type automated seepage meters for submarine groundwater discharge measurements","docAbstract":"Submarine groundwater discharge (SGD) assessments were conducted both in the laboratory and at a field site in the northeastern Gulf of Mexico, using a continuous heat-type automated seepage meter (seepmeter). The functioning of the seepmeter is based on measurements of a temperature gradient in the water between downstream and upstream positions in its flow pipe. The device has the potential of providing long-term, high-resolution measurements of SGD. Using a simple inexpensive laboratory set-up, we have shown that connecting an extension cable to the seepmeter has a negligible effect on its measuring capability. Similarly, the observed influence of very low temperature (???3 ??C) on seepmeter measurements can be accounted for by conducting calibrations at such temperatures prior to field deployments. Compared to manual volumetric measurements, calibration experiments showed that at higher water flow rates (>28 cm day-1 or cm3 cm-2 day-1) an analog flowmeter overestimated flow rates by ???7%. This was apparently due to flow resistance, turbulence and formation of air bubbles in the seepmeter water flow tubes. Salinity had no significant effect on the performance of the seepmeter. Calibration results from fresh water and sea water showed close agreement at a 95% confidence level significance between the data sets from the two media (R2 = 0.98). Comparatively, the seepmeter SGD measurements provided data that are comparable to manually-operated seepage meters, the radon geochemical tracer approach, and an electromagnetic (EM) seepage meter. ?? 2009 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecss.2009.12.001","issn":"02727714","usgsCitation":"Mwashote, B., Burnett, W.C., Chanton, J., Santos, I., Dimova, N., and Swarzenski, P., 2010, Calibration and use of continuous heat-type automated seepage meters for submarine groundwater discharge measurements: Estuarine, Coastal and Shelf Science, v. 87, no. 1, p. 1-10, https://doi.org/10.1016/j.ecss.2009.12.001.","startPage":"1","endPage":"10","numberOfPages":"10","costCenters":[],"links":[{"id":216559,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2009.12.001"},{"id":244437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f30fe4b0c8380cd4b59a","contributors":{"authors":[{"text":"Mwashote, B.M.","contributorId":27709,"corporation":false,"usgs":true,"family":"Mwashote","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":445463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burnett, W. C.","contributorId":39779,"corporation":false,"usgs":false,"family":"Burnett","given":"W.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":445465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chanton, J.","contributorId":10641,"corporation":false,"usgs":true,"family":"Chanton","given":"J.","affiliations":[],"preferred":false,"id":445462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santos, I.R.","contributorId":94499,"corporation":false,"usgs":true,"family":"Santos","given":"I.R.","email":"","affiliations":[],"preferred":false,"id":445467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dimova, N.","contributorId":66051,"corporation":false,"usgs":true,"family":"Dimova","given":"N.","affiliations":[],"preferred":false,"id":445466,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":445464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034345,"text":"70034345 - 2010 - A geostatistical approach to mapping site response spectral amplifications","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034345","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"A geostatistical approach to mapping site response spectral amplifications","docAbstract":"If quantitative estimates of the seismic properties do not exist at a location of interest then the site response spectral amplifications must be estimated from data collected at other locations. Currently, the most common approach employs correlations of site class with maps of surficial geology. Analogously, correlations of site class with topographic slope can be employed where the surficial geology is unknown. Our goal is to identify and validate a method to estimate site response with greater spatial resolution and accuracy for regions where additional effort is warranted. This method consists of three components: region-specific data collection, a spatial model for interpolating seismic properties, and a theoretical method for computing spectral amplifications from the interpolated seismic properties. We consider three spatial interpolation schemes: correlations with surficial geology, termed the geologic trend (GT), ordinary kriging (OK), and kriging with a trend (KT). We estimate the spectral amplifications from seismic properties using the square root of impedance method, thereby linking the frequency-dependent spectral amplifications to the depth-dependent seismic properties. Thus, the range of periods for which this method is applicable is limited by the depth of exploration. A dense survey of near-surface S-wave slowness (Ss) throughout Kobe, Japan shows that the geostatistical methods give more accurate estimates of Ss than the topographic slope and GT methods, and the OK and KT methods perform equally well. We prefer the KT model because it can be seamlessly integrated with geologic maps that cover larger regions. Empirical spectral amplifications show that the region-specific data achieve more accurate estimates of observed median short-period amplifications than the topographic slope method. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Engineering Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.enggeo.2010.05.010","issn":"00137952","usgsCitation":"Thompson, E., Baise, L., Kayen, R.E., Tanaka, Y., and Tanaka, H., 2010, A geostatistical approach to mapping site response spectral amplifications: Engineering Geology, v. 114, no. 3-4, p. 330-342, https://doi.org/10.1016/j.enggeo.2010.05.010.","startPage":"330","endPage":"342","numberOfPages":"13","costCenters":[],"links":[{"id":475944,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/35p167nr","text":"External Repository"},{"id":216674,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.enggeo.2010.05.010"},{"id":244559,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e407e4b0c8380cd4636b","contributors":{"authors":[{"text":"Thompson, E.M.","contributorId":104688,"corporation":false,"usgs":true,"family":"Thompson","given":"E.M.","affiliations":[],"preferred":false,"id":445334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baise, L.G.","contributorId":6239,"corporation":false,"usgs":true,"family":"Baise","given":"L.G.","affiliations":[],"preferred":false,"id":445330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, R. E.","contributorId":14424,"corporation":false,"usgs":true,"family":"Kayen","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":445332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanaka, Y.","contributorId":14214,"corporation":false,"usgs":true,"family":"Tanaka","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tanaka, H.","contributorId":35521,"corporation":false,"usgs":true,"family":"Tanaka","given":"H.","email":"","affiliations":[],"preferred":false,"id":445333,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034344,"text":"70034344 - 2010 - Geological mapping goes 3-D in response to societal needs","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034344","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Geological mapping goes 3-D in response to societal needs","docAbstract":"The transition to 3-D mapping has been made possible by technological advances in digital cartography, GIS, data storage, analysis, and visualization. Despite various challenges, technological advancements facilitated a gradual transition from 2-D maps to 2.5-D draped maps to 3-D geological mapping, supported by digital spatial and relational databases that can be interrogated horizontally or vertically and viewed interactively. Challenges associated with data collection, human resources, and information management are daunting due to their resource and training requirements. The exchange of strategies at the workshops has highlighted the use of basin analysis to develop a process-based predictive knowledge framework that facilitates data integration. Three-dimensional geological information meets a public demand that fills in the blanks left by conventional 2-D mapping. Two-dimensional mapping will, however, remain the standard method for extensive areas of complex geology, particularly where deformed igneous and metamorphic rocks defy attempts at 3-D depiction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Today","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/GSATG86GW.1","issn":"10525173","usgsCitation":"Thorleifson, H., Berg, R.C., and Russell, H., 2010, Geological mapping goes 3-D in response to societal needs: GSA Today, v. 20, no. 8, p. 27-29, https://doi.org/10.1130/GSATG86GW.1.","startPage":"27","endPage":"29","numberOfPages":"3","costCenters":[],"links":[{"id":216644,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GSATG86GW.1"},{"id":244527,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2277e4b0c8380cd57086","contributors":{"authors":[{"text":"Thorleifson, H.","contributorId":81761,"corporation":false,"usgs":true,"family":"Thorleifson","given":"H.","email":"","affiliations":[],"preferred":false,"id":445328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berg, R. C.","contributorId":11673,"corporation":false,"usgs":true,"family":"Berg","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":445327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, H.A.J.","contributorId":93777,"corporation":false,"usgs":true,"family":"Russell","given":"H.A.J.","email":"","affiliations":[],"preferred":false,"id":445329,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034328,"text":"70034328 - 2010 - Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034328","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":"Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","docAbstract":"Groundwater modeling has become a vital component to water supply and contaminant transport investigations. An important component of groundwater modeling under steady state conditions is selecting a representative hydraulic conductivity (K) estimate or set of estimates which defines the K field of the studied region. Currently, there are a number of characterization approaches to obtain K at various scales and in varying degrees of detail, but there is a paucity of information in terms of which characterization approach best predicts flow through aquifers or drawdowns caused by some drawdown inducing events. The main objective of this paper is to assess K estimates obtained by various approaches by predicting drawdowns from independent cross-hole pumping tests and total flow rates through a synthetic heterogeneous aquifer from flow-through tests. Specifically, we (1) characterize a synthetic heterogeneous aquifer built in the sandbox through various techniques (permeameter analyses of core samples, single-hole, cross-hole, and flow-through testing), (2) obtain mean K fields through traditional analysis of test data by treating the medium to be homogeneous, (3) obtain heterogeneous K fields through kriging and steady state hydraulic tomography, and (4) conduct forward simulations of 16 independent pumping tests and six flowthrough tests using these homogeneous and heterogeneous K fields and comparing them to actual data. Results show that the mean K and heterogeneous K fields estimated through kriging of small-scale K data (core and single-hole tests) yield biased predictions of drawdowns and flow rates in this synthetic heterogeneous aquifer. In contrast, the heterogeneous K distribution or ?K tomogram? estimated via steady state hydraulic tomography yields excellent predictions of drawdowns of pumping tests not used in the construction of the tomogram and very good estimates of total flow rates from the flowthrough tests. These results suggest that steady state groundwater model validation is possible in this laboratory sandbox aquifer if the heterogeneous K distribution and forcing functions (boundary conditions and source/sink terms) are characterized sufficiently. ?? 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009WR007745","issn":"00431397","usgsCitation":"Illman, W., Zhu, J., Craig, A., and Yin, D., 2010, Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study: Water Resources Research, v. 46, no. 4, https://doi.org/10.1029/2009WR007745.","costCenters":[],"links":[{"id":475990,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr007745","text":"Publisher Index Page"},{"id":216852,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009WR007745"},{"id":244748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-03","publicationStatus":"PW","scienceBaseUri":"5059f850e4b0c8380cd4cffd","contributors":{"authors":[{"text":"Illman, W.A.","contributorId":53195,"corporation":false,"usgs":true,"family":"Illman","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":445258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, J.","contributorId":6289,"corporation":false,"usgs":true,"family":"Zhu","given":"J.","email":"","affiliations":[],"preferred":false,"id":445257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, A.J.","contributorId":56477,"corporation":false,"usgs":true,"family":"Craig","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":445259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yin, D.","contributorId":90137,"corporation":false,"usgs":true,"family":"Yin","given":"D.","email":"","affiliations":[],"preferred":false,"id":445260,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034319,"text":"70034319 - 2010 - Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034319","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters","docAbstract":"Because unionid mussels have a parasitic larval stage, they are able to disperse upstream and downstream as larvae while attached to their host fish and with flow as juveniles after excystment from the host. Understanding unionid population ecology requires knowledge of the processes that affect juvenile dispersal prior to establishment. We examined presettlement (transport and dispersion with flow) and early postsettlement (bed shear stress) hydraulic processes as negative censoring mechanisms. Our approach was to model dispersal using particle tracking through a 3-dimensional flow field output from hydrodynamic models of a reach of the Upper Mississippi River. We tested the potential effects of bed shear stress (??b) at 5 flow rates on juvenile mussel dispersal and quantified the magnitude of these effects as a function of flow rate. We explored the reach-scale relationships of Froude number (Fr), water depth (H), local bed slope (S), and unit stream power (QS) with the likelihood of juvenile settling (??). We ran multiple dispersal simulations at each flow rate to estimate ??, the parameter of a Poisson distribution, from the number of juveniles settling in each grid cell, and calculated dispersal distances. Virtual juveniles that settled in areas of the river where b > critical shear stress (c) were resuspended in the flow and transported further downstream, so we ran simulations at 3 different conditions for ??c (??c = ??? no resuspension, 0.1, and 0.05 N/m2). Differences in virtual juvenile dispersal distance were significantly dependent upon c and flow rate, and effects of b on settling distribution were dependent upon c. Most simulations resulted in positive correlations between ?? and ??b, results suggesting that during early postsettlement, ??b might be the primary determinant of juvenile settling distribution. Negative correlations between ?? and ??b occurred in some simulations, a result suggesting that physical or biological presettlement processes might determine juvenile settling distributions. Field data are needed to test these hypotheses. Results support the idea that flow patterns and b can act as negative censoring mechanisms controlling settling distributions. Furthermore, a river reach probably has a quantifiable threshold range of flow rates. Above the upper threshold, ??b probably is the primary determinant of juvenile settling distribution. Relationships of ?? with H, Fr, S, and QS were relatively weak. Important physical processes that affect dispersal probably are not captured by approximations based on large-scale hydraulic parameters, such as Fr and H. ?? 2010 The North American Benthological Society.","largerWorkTitle":"Journal of the North American Benthological Society","language":"English","doi":"10.1899/09-118.1","issn":"08873593","usgsCitation":"Daraio, J., Weber, L., and Newton, T., 2010, Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters, in Journal of the North American Benthological Society, v. 29, no. 3, p. 838-851, https://doi.org/10.1899/09-118.1.","startPage":"838","endPage":"851","numberOfPages":"14","costCenters":[],"links":[{"id":244589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216703,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/09-118.1"}],"volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a333de4b0c8380cd5ee52","contributors":{"authors":[{"text":"Daraio, J.A.","contributorId":51577,"corporation":false,"usgs":true,"family":"Daraio","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":445223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weber, L.J.","contributorId":79988,"corporation":false,"usgs":true,"family":"Weber","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":445224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":445225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034290,"text":"70034290 - 2010 - Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034290","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams","docAbstract":"Modifications to stream hydrologic regimes can have a profound influence on the dynamics of their fish populations. Using hierarchical linear models, we examined the relations between flow regime and young-of-year fish density using fish sampling and discharge data from three different warmwater streams in Illinois, Alabama, and Georgia. We used an information theoretic approach to evaluate the relative support for models describing hypothesized influences of five flow regime components representing: short-term high and low flows; short-term flow stability; and long-term mean flows and flow stability on fish reproductive success during fish spawning and rearing periods. We also evaluated the influence of ten fish species traits on fish reproductive success. Species traits included spawning duration, reproductive strategy, egg incubation rate, swimming locomotion morphology, general habitat preference, and food habits. Model selection results indicated that young-of-year fish density was positively related to short-term high flows during the spawning period and negatively related to flow variability during the rearing period. However, the effect of the flow regime components varied substantially among species, but was related to species traits. The effect of short-term high flows on the reproductive success was lower for species that broadcast their eggs during spawning. Species with cruiser swimming locomotion morphologies (e.g., Micropterus) also were more vulnerable to variable flows during the rearing period. Our models provide insight into the conditions and timing of flows that influence the reproductive success of warmwater stream fishes and may guide decisions related to stream regulation and management. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00267-010-9511-5","issn":"0364152X","usgsCitation":"Craven, S., Peterson, J., Freeman, M.C., Kwak, T., and Irwin, E., 2010, Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams: Environmental Management, v. 46, no. 2, p. 181-194, https://doi.org/10.1007/s00267-010-9511-5.","startPage":"181","endPage":"194","numberOfPages":"14","costCenters":[],"links":[{"id":216765,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-010-9511-5"},{"id":244652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-06-18","publicationStatus":"PW","scienceBaseUri":"505a5c4ee4b0c8380cd6fbb5","contributors":{"authors":[{"text":"Craven, S.W.","contributorId":50009,"corporation":false,"usgs":true,"family":"Craven","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":445104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, J.T.","contributorId":30170,"corporation":false,"usgs":true,"family":"Peterson","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":445103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary C. 0000-0001-7615-6923","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":99659,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":445106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kwak, T.J.","contributorId":104236,"corporation":false,"usgs":true,"family":"Kwak","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":445107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, E.","contributorId":95721,"corporation":false,"usgs":true,"family":"Irwin","given":"E.","email":"","affiliations":[],"preferred":false,"id":445105,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034240,"text":"70034240 - 2010 - The vegetation outlook (VegOut): a new method for predicting vegetation seasonal greenness","interactions":[],"lastModifiedDate":"2012-12-26T12:25:12","indexId":"70034240","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The vegetation outlook (VegOut): a new method for predicting vegetation seasonal greenness","docAbstract":"The vegetation outlook (VegOut) is a geospatial tool for predicting general vegetation condition patterns across large areas. VegOut predicts a standardized seasonal greenness (SSG) measure, which represents a general indicator of relative vegetation health. VegOut predicts SSG values at multiple time steps (two to six weeks into the future) based on the analysis of \"historical patterns\" (i.e., patterns at each 1 km grid cell and time of the year) of satellite, climate, and oceanic data over an 18-year period (1989 to 2006). The model underlying VegOut capitalizes on historical climate-vegetation interactions and ocean-climate teleconnections (such as El Niño and the Southern Oscillation, ENSO) expressed over the 18-year data record and also considers several environmental characteristics (e.g., land use/cover type and soils) that influence vegetation's response to weather conditions to produce 1 km maps that depict future general vegetation conditions. VegOut provides regionallevel vegetation monitoring capabilities with local-scale information (e.g., county to sub-county level) that can complement more traditional remote sensing-based approaches that monitor \"current\" vegetation conditions. In this paper, the VegOut approach is discussed and a case study over the central United States for selected periods of the 2008 growing season is presented to demonstrate the potential of this new tool for assessing and predicting vegetation conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GIScience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Bellwether Publishing, Ltd.","publisherLocation":"Columbia, MD","doi":"10.2747/1548-1603.47.1.25","issn":"15481603","usgsCitation":"Tadesse, T., Wardlow, B., Hayes, M., Svoboda, M., and Brown, J., 2010, The vegetation outlook (VegOut): a new method for predicting vegetation seasonal greenness: GIScience and Remote Sensing, v. 47, no. 1, p. 25-52, https://doi.org/10.2747/1548-1603.47.1.25.","productDescription":"28 p.","startPage":"25","endPage":"52","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475891,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2747/1548-1603.47.1.25","text":"Publisher Index Page"},{"id":244876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216971,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/1548-1603.47.1.25"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"505bb1b5e4b08c986b3253b6","contributors":{"authors":[{"text":"Tadesse, T.","contributorId":57661,"corporation":false,"usgs":true,"family":"Tadesse","given":"T.","affiliations":[],"preferred":false,"id":444849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wardlow, B.","contributorId":56863,"corporation":false,"usgs":false,"family":"Wardlow","given":"B.","email":"","affiliations":[{"id":12505,"text":"University of Nebraska - Lincoln","active":true,"usgs":false}],"preferred":false,"id":444848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, M.","contributorId":68138,"corporation":false,"usgs":true,"family":"Hayes","given":"M.","affiliations":[],"preferred":false,"id":444851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, M.","contributorId":74604,"corporation":false,"usgs":true,"family":"Svoboda","given":"M.","email":"","affiliations":[],"preferred":false,"id":444852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, J.","contributorId":57801,"corporation":false,"usgs":true,"family":"Brown","given":"J.","affiliations":[],"preferred":false,"id":444850,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034227,"text":"70034227 - 2010 - The High Resolution Imaging Science Experiment (HiRISE) during MRO's Primary Science Phase (PSP)","interactions":[],"lastModifiedDate":"2020-10-02T14:05:55.751252","indexId":"70034227","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":"The High Resolution Imaging Science Experiment (HiRISE) during MRO's Primary Science Phase (PSP)","docAbstract":"The High Resolution Imaging Science Experiment (HiRISE) on the Mars Reconnaissance Orbiter (MRO) acquired 8 terapixels of data in 9137 images of Mars between October 2006 and December 2008, covering ∼0.55% of the surface. Images are typically 5–6 km wide with 3-color coverage over the central 20% of the swath, and their scales usually range from 25 to 60 cm/pixel. Nine hundred and sixty stereo pairs were acquired and more than 50 digital terrain models (DTMs) completed; these data have led to some of the most significant science results. New methods to measure and correct distortions due to pointing jitter facilitate topographic and change-detection studies at sub-meter scales. Recent results address Noachian bedrock stratigraphy, fluvially deposited fans in craters and in or near Valles Marineris, groundwater flow in fractures and porous media, quasi-periodic layering in polar and non-polar deposits, tectonic history of west Candor Chasma, geometry of clay-rich deposits near and within Mawrth Vallis, dynamics of flood lavas in the Cerberus Palus region, evidence for pyroclastic deposits, columnar jointing in lava flows, recent collapse pits, evidence for water in well-preserved impact craters, newly discovered large rayed craters, and glacial and periglacial processes. Of particular interest are ongoing processes such as those driven by the wind, impact cratering, avalanches of dust and/or frost, relatively bright deposits on steep gullied slopes, and the dynamic seasonal processes over polar regions. HiRISE has acquired hundreds of large images of past, present and potential future landing sites and has contributed to scientific and engineering studies of those sites. Warming the focal-plane electronics prior to imaging has mitigated an instrument anomaly that produces bad data under cold operating conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.04.023","issn":"00191035","usgsCitation":"McEwen, A.S., Banks, M.E., Baugh, N., Becker, K.J., Boyd, A., Bergstrom, J.W., Beyer, R.A., Bortolini, E., Bridges, N.T., Byrne, S., Castalia, B., Chuang, F.C., Crumpler, L.S., Daubar, I., Davatzes, A.K., Deardorff, D.G., DeJong, A., Delamere, W.A., Dobrea, E.Z., Dundas, C.M., Eliason, E.M., Espinoza, Y., Fennema, A., Fishbaugh, K.E., Forrester, T., Geissler, P.E., Grant, J.A., Griffes, J.L., Grotzinger, J., Gulick, V.C., Hansen, C.J., Herkenhoff, K.E., Heyd, R., Jaeger, W.L., Jones, D., Kanefsky, B., Keszthelyi, L., King, R., Kirk, R.L., Kolb, K.J., Lasco, J., Lefort, A., Leis, R., Lewis, K.W., Martinez-Alonso, S., Mattson, S., McArthur, G.K., Mellon, M.T., Metz, J., Milazzo, M.P., Milliken, R.E., Motazedian, T., Okubo, C., Ortiz, A., Philippoff, A.J., Plassmann, J., Polit, A., Russell, P.S., Schaller, C., Searls, M.L., Spriggs, T., Squyres, S.W., Tarr, S., Thomas, N., Thomson, B.J., Tornabene, L., Van Houten, C., Verba, C., Weitz, C.M., and Wray, J.J., 2010, The High Resolution Imaging Science Experiment (HiRISE) during MRO's Primary Science Phase (PSP): Icarus, v. 205, no. 1, p. 2-37, https://doi.org/10.1016/j.icarus.2009.04.023.","productDescription":"36 p.","startPage":"2","endPage":"37","numberOfPages":"36","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":244649,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"205","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba777e4b08c986b3215a3","contributors":{"authors":[{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":444712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, Maria E.","contributorId":80914,"corporation":false,"usgs":true,"family":"Banks","given":"Maria","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":444772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baugh, Nicole","contributorId":210530,"corporation":false,"usgs":false,"family":"Baugh","given":"Nicole","affiliations":[],"preferred":false,"id":444728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becker, Kris J. 0000-0003-1971-5957 kbecker@usgs.gov","orcid":"https://orcid.org/0000-0003-1971-5957","contributorId":2910,"corporation":false,"usgs":true,"family":"Becker","given":"Kris","email":"kbecker@usgs.gov","middleInitial":"J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyd, Aaron","contributorId":210531,"corporation":false,"usgs":false,"family":"Boyd","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":444708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergstrom, James W.","contributorId":210510,"corporation":false,"usgs":false,"family":"Bergstrom","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":6944,"text":"Ball Aerospace Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":444729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beyer, Ross A.","contributorId":204235,"corporation":false,"usgs":false,"family":"Beyer","given":"Ross","email":"","middleInitial":"A.","affiliations":[{"id":36890,"text":"Sagan Center at the SETI Institute and NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":444754,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bortolini, Edward","contributorId":210532,"corporation":false,"usgs":false,"family":"Bortolini","given":"Edward","email":"","affiliations":[],"preferred":false,"id":444730,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bridges, Nathan T.","contributorId":45005,"corporation":false,"usgs":true,"family":"Bridges","given":"Nathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":444719,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":444773,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Castalia, Bradford","contributorId":210533,"corporation":false,"usgs":false,"family":"Castalia","given":"Bradford","email":"","affiliations":[],"preferred":false,"id":444752,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chuang, Frank C.","contributorId":35600,"corporation":false,"usgs":true,"family":"Chuang","given":"Frank","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":444774,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Crumpler, Larry S.","contributorId":196268,"corporation":false,"usgs":false,"family":"Crumpler","given":"Larry","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":444753,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Daubar, Ingrid J.","contributorId":34431,"corporation":false,"usgs":true,"family":"Daubar","given":"Ingrid J.","affiliations":[],"preferred":false,"id":444748,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Davatzes, Alix K.","contributorId":210534,"corporation":false,"usgs":false,"family":"Davatzes","given":"Alix","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":444767,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Deardorff, Donald G.","contributorId":210535,"corporation":false,"usgs":false,"family":"Deardorff","given":"Donald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":444763,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"DeJong, Alaina","contributorId":210536,"corporation":false,"usgs":false,"family":"DeJong","given":"Alaina","email":"","affiliations":[],"preferred":false,"id":444726,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Delamere, W. Alan","contributorId":15042,"corporation":false,"usgs":true,"family":"Delamere","given":"W.","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":444714,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Dobrea, Eldar Z. Noe","contributorId":194044,"corporation":false,"usgs":false,"family":"Dobrea","given":"Eldar","email":"","middleInitial":"Z. Noe","affiliations":[],"preferred":false,"id":444720,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444756,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Eliason, Eric M.","contributorId":21280,"corporation":false,"usgs":true,"family":"Eliason","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":444761,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Espinoza, Yisrael","contributorId":210537,"corporation":false,"usgs":false,"family":"Espinoza","given":"Yisrael","email":"","affiliations":[],"preferred":false,"id":444711,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Fennema, Audrie","contributorId":210538,"corporation":false,"usgs":false,"family":"Fennema","given":"Audrie","email":"","affiliations":[],"preferred":false,"id":444734,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Fishbaugh, Kathryn E.","contributorId":210540,"corporation":false,"usgs":false,"family":"Fishbaugh","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":444771,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Forrester, Terry","contributorId":210541,"corporation":false,"usgs":false,"family":"Forrester","given":"Terry","email":"","affiliations":[],"preferred":false,"id":444707,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444742,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Grant, John A.","contributorId":35230,"corporation":false,"usgs":true,"family":"Grant","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":444723,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Griffes, Jennifer L.","contributorId":146792,"corporation":false,"usgs":false,"family":"Griffes","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":444717,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Grotzinger, John P.","contributorId":22247,"corporation":false,"usgs":true,"family":"Grotzinger","given":"John P.","affiliations":[],"preferred":false,"id":444747,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Gulick, Virginia C.","contributorId":52443,"corporation":false,"usgs":true,"family":"Gulick","given":"Virginia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":444735,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":444746,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444737,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Heyd, Rodney","contributorId":210542,"corporation":false,"usgs":false,"family":"Heyd","given":"Rodney","email":"","affiliations":[],"preferred":false,"id":444776,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Jaeger, Windy L.","contributorId":61679,"corporation":false,"usgs":true,"family":"Jaeger","given":"Windy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":444738,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Jones, Dean","contributorId":210543,"corporation":false,"usgs":false,"family":"Jones","given":"Dean","email":"","affiliations":[],"preferred":false,"id":444715,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Kanefsky, Bob","contributorId":210544,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Bob","email":"","affiliations":[],"preferred":false,"id":444751,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444732,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"King, Robert","contributorId":210545,"corporation":false,"usgs":false,"family":"King","given":"Robert","affiliations":[],"preferred":false,"id":444716,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444762,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Kolb, Kelly J.","contributorId":210546,"corporation":false,"usgs":false,"family":"Kolb","given":"Kelly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":444744,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Lasco, Jeffrey","contributorId":210547,"corporation":false,"usgs":false,"family":"Lasco","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":444733,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Lefort, Alexandra","contributorId":210512,"corporation":false,"usgs":false,"family":"Lefort","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":444749,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Leis, Richard","contributorId":210548,"corporation":false,"usgs":false,"family":"Leis","given":"Richard","email":"","affiliations":[],"preferred":false,"id":444775,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Lewis, Kevin W.","contributorId":203787,"corporation":false,"usgs":false,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":444770,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Martinez-Alonso, Sara","contributorId":73023,"corporation":false,"usgs":true,"family":"Martinez-Alonso","given":"Sara","email":"","affiliations":[],"preferred":false,"id":444740,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Mattson, Sarah","contributorId":102391,"corporation":false,"usgs":true,"family":"Mattson","given":"Sarah","affiliations":[],"preferred":false,"id":444725,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"McArthur, Guy K.","contributorId":210528,"corporation":false,"usgs":false,"family":"McArthur","given":"Guy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":444757,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":444755,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Metz, Joannah","contributorId":35448,"corporation":false,"usgs":true,"family":"Metz","given":"Joannah","email":"","affiliations":[],"preferred":false,"id":444743,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Milazzo, Moses P. 0000-0002-9101-2191 moses@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-2191","contributorId":4811,"corporation":false,"usgs":true,"family":"Milazzo","given":"Moses","email":"moses@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444710,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Milliken, Ralph E.","contributorId":113334,"corporation":false,"usgs":true,"family":"Milliken","given":"Ralph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":444765,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Motazedian, Tahirih","contributorId":210549,"corporation":false,"usgs":false,"family":"Motazedian","given":"Tahirih","email":"","affiliations":[],"preferred":false,"id":444736,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444759,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Ortiz, Albert","contributorId":210550,"corporation":false,"usgs":false,"family":"Ortiz","given":"Albert","email":"","affiliations":[],"preferred":false,"id":444721,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Philippoff, Andrea J.","contributorId":210551,"corporation":false,"usgs":false,"family":"Philippoff","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":444731,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Plassmann, Joseph","contributorId":210552,"corporation":false,"usgs":false,"family":"Plassmann","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":444739,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Polit, Anjani","contributorId":210553,"corporation":false,"usgs":false,"family":"Polit","given":"Anjani","email":"","affiliations":[],"preferred":false,"id":444768,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Russell, Patrick S.","contributorId":210529,"corporation":false,"usgs":false,"family":"Russell","given":"Patrick","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":444769,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Schaller, Christian","contributorId":210554,"corporation":false,"usgs":false,"family":"Schaller","given":"Christian","email":"","affiliations":[],"preferred":false,"id":444727,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Searls, Mindi L.","contributorId":210555,"corporation":false,"usgs":false,"family":"Searls","given":"Mindi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":444750,"contributorType":{"id":1,"text":"Authors"},"rank":60},{"text":"Spriggs, Timothy","contributorId":210556,"corporation":false,"usgs":false,"family":"Spriggs","given":"Timothy","email":"","affiliations":[],"preferred":false,"id":444758,"contributorType":{"id":1,"text":"Authors"},"rank":61},{"text":"Squyres, Steve W.","contributorId":90212,"corporation":false,"usgs":true,"family":"Squyres","given":"Steve","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":444724,"contributorType":{"id":1,"text":"Authors"},"rank":62},{"text":"Tarr, Steven","contributorId":210557,"corporation":false,"usgs":false,"family":"Tarr","given":"Steven","email":"","affiliations":[],"preferred":false,"id":444741,"contributorType":{"id":1,"text":"Authors"},"rank":63},{"text":"Thomas, Nicolas","contributorId":203694,"corporation":false,"usgs":false,"family":"Thomas","given":"Nicolas","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":444745,"contributorType":{"id":1,"text":"Authors"},"rank":64},{"text":"Thomson, Bradley J.","contributorId":210558,"corporation":false,"usgs":false,"family":"Thomson","given":"Bradley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":444760,"contributorType":{"id":1,"text":"Authors"},"rank":65},{"text":"Tornabene, Livio L.","contributorId":11915,"corporation":false,"usgs":true,"family":"Tornabene","given":"Livio L.","affiliations":[],"preferred":false,"id":444766,"contributorType":{"id":1,"text":"Authors"},"rank":66},{"text":"Van Houten, Charlie","contributorId":210559,"corporation":false,"usgs":false,"family":"Van Houten","given":"Charlie","email":"","affiliations":[],"preferred":false,"id":444718,"contributorType":{"id":1,"text":"Authors"},"rank":67},{"text":"Verba, Circe","contributorId":140483,"corporation":false,"usgs":false,"family":"Verba","given":"Circe","email":"","affiliations":[{"id":13513,"text":"Geology Department, NAU","active":true,"usgs":false}],"preferred":false,"id":444713,"contributorType":{"id":1,"text":"Authors"},"rank":68},{"text":"Weitz, Catherine M.","contributorId":210511,"corporation":false,"usgs":false,"family":"Weitz","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":true,"id":444709,"contributorType":{"id":1,"text":"Authors"},"rank":69},{"text":"Wray, James J.","contributorId":81736,"corporation":false,"usgs":false,"family":"Wray","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":7032,"text":"School of Earth and Atmospheric Sciences, Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":444722,"contributorType":{"id":1,"text":"Authors"},"rank":70}]}} ,{"id":70034217,"text":"70034217 - 2010 - Emplacement of the youngest flood lava on Mars: A short, turbulent story","interactions":[],"lastModifiedDate":"2018-12-05T08:28:15","indexId":"70034217","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":"Emplacement of the youngest flood lava on Mars: A short, turbulent story","docAbstract":"Recently acquired data from the High Resolution Imaging Science Experiment (HiRISE), Context (CTX) imager, and Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) onboard the Mars Reconnaissance Orbiter (MRO) spacecraft were used to investigate the emplacement of the youngest flood-lava flow on Mars. Careful mapping finds that the Athabasca Valles flood lava is the product of a single eruption, and it covers 250,000 km2 of western Elysium Planitia with an estimated 5000-7500 km3 of mafic or ultramafic lava. Calculations utilizing topographic data enhanced with MRO observations to refine the dimensions of the channel system show that this flood lava was emplaced turbulently over a period of only a few to several weeks. This is the first well-documented example of a turbulently emplaced flood lava anywhere in the Solar System. However, MRO data suggest that this same process may have operated in a number of martian channel systems. The magnitude and dynamics of these lava floods are similar to the aqueous floods that are generally believed to have eroded the channels, raising the intriguing possibility that mechanical erosion by lava could have played a role in their incision.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.09.011","issn":"00191035","usgsCitation":"Jaeger, W.L., Keszthelyi, L., Skinner, J., Milazzo, M.P., McEwen, A.S., Titus, T.N., Rosiek, M.R., Galuszka, D.M., Howington-Kraus, E., Kirk, R.L., and the HiRISE TEam, 2010, Emplacement of the youngest flood lava on Mars: A short, turbulent story: Icarus, v. 205, no. 1, p. 230-243, https://doi.org/10.1016/j.icarus.2009.09.011.","productDescription":"14 p.","startPage":"230","endPage":"243","numberOfPages":"14","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":244519,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"205","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0915e4b0c8380cd51dc7","contributors":{"authors":[{"text":"Jaeger, Windy L.","contributorId":61679,"corporation":false,"usgs":true,"family":"Jaeger","given":"Windy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":444668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, James A. 0000-0002-3644-7010 jskinner@usgs.gov","orcid":"https://orcid.org/0000-0002-3644-7010","contributorId":3187,"corporation":false,"usgs":true,"family":"Skinner","given":"James A.","email":"jskinner@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milazzo, Moses P. 0000-0002-9101-2191 moses@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-2191","contributorId":4811,"corporation":false,"usgs":true,"family":"Milazzo","given":"Moses","email":"moses@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":444665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":824,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":444666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444669,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444667,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444671,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"the HiRISE TEam","contributorId":127993,"corporation":true,"usgs":false,"organization":"the HiRISE TEam","id":750967,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70034210,"text":"70034210 - 2010 - Prescribed fires as ecological surrogates for wildfires: A stream and riparian perspective","interactions":[],"lastModifiedDate":"2017-11-17T16:00:36","indexId":"70034210","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Prescribed fires as ecological surrogates for wildfires: A stream and riparian perspective","docAbstract":"Forest managers use prescribed fire to reduce wildfire risk and to provide resource benefits, yet little information is available on whether prescribed fires can function as ecological surrogates for wildfire in fire-prone landscapes. Information on impacts and benefits of this management tool on stream and riparian ecosystems is particularly lacking. We used a beyond-BACI (Before, After, Control, Impact) design to investigate the effects of a prescribed fire on a stream ecosystem and compared these findings to similar data collected after wildfire. For 3 years after prescribed fire treatment, we found no detectable changes in periphyton, macroinvertebrates, amphibians, fish, and riparian and stream habitats compared to data collected over the same time period in four unburned reference streams. Based on changes in fuels, plant and litter cover, and tree scorching, this prescribed fire was typical of those being implemented in ponderosa pine forests throughout the western U.S. However, we found that the extent and severity of riparian vegetation burned was substantially lower after prescribed fire compared to nearby wildfires. The early-season prescribed fire did not mimic the riparian or in-stream ecological effects observed following a nearby wildfire, even in catchments with burn extents similar to the prescribed fire. Little information exists on the effects of long-term fire exclusion from riparian forests, but a \"prescribed fire regime\" of repeatedly burning upland forests while excluding fire in adjacent riparian forests may eliminate an important natural disturbance from riparian and stream habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.foreco.2009.11.029","issn":"03781127","usgsCitation":"Arkle, R., and Pilliod, D., 2010, Prescribed fires as ecological surrogates for wildfires: A stream and riparian perspective: Forest Ecology and Management, v. 259, no. 5, p. 893-903, https://doi.org/10.1016/j.foreco.2009.11.029.","startPage":"893","endPage":"903","numberOfPages":"11","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":244428,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216551,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2009.11.029"}],"volume":"259","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8b34e4b0c8380cd7e1b1","contributors":{"authors":[{"text":"Arkle, R.S.","contributorId":86997,"corporation":false,"usgs":true,"family":"Arkle","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":444620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, D. S.","contributorId":45259,"corporation":false,"usgs":false,"family":"Pilliod","given":"D. S.","affiliations":[],"preferred":false,"id":444619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034193,"text":"70034193 - 2010 - Challenges in merging fisheries research and management: The Upper Mississippi River experience","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034193","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Challenges in merging fisheries research and management: The Upper Mississippi River experience","docAbstract":"The Upper Mississippi River System (UMRS) is a geographically diverse basin extending 10?? north temperate latitude that has produced fishes for humans for millennia. During European colonization through the present, the UMRS has been modified to meet multiple demands such as navigation and flood control. Invasive species, notably the common carp, have dominated fisheries in both positive and negative ways. Through time, environmental decline plus reduced economic incentives have degraded opportunities for fishery production. A renewed focus on fisheries in the UMRS may be dawning. Commercial harvest and corresponding economic value of native and non-native species along the river corridor fluctuates but appears to be increasing. Recreational use will depend on access and societal perceptions of the river. Interactions (e. g., disease and invasive species transmission) among fish assemblages within the UMRS, the Great Lakes, and other lakes and rivers are rising. Data collection for fisheries has varied in intensity and contiguousness through time, although resources for research and management may be growing. As fisheries production likely relies on the interconnectivity of fish populations and associated ecosystem processes among river reaches (e. g., between the pooled and unpooled UMRS), species-level processes such as genetics, life-history interactions, and migratory behavior need to be placed in the context of broad ecosystem- and landscape-scale restoration. Formal communication among a diverse group of researchers, managers, and public stakeholders crossing geographic and disciplinary boundaries is necessary through peer-reviewed publications, moderated interactions, and the embrace of emerging information technologies. ?? Springer Science+Business Media B.V. 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-009-0061-x","issn":"00188158","usgsCitation":"Garvey, J., Ickes, B., and Zigler, S., 2010, Challenges in merging fisheries research and management: The Upper Mississippi River experience: Hydrobiologia, v. 640, no. 1, p. 125-144, https://doi.org/10.1007/s10750-009-0061-x.","startPage":"125","endPage":"144","numberOfPages":"20","costCenters":[],"links":[{"id":216787,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-009-0061-x"},{"id":244679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"640","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-07","publicationStatus":"PW","scienceBaseUri":"5059f3fbe4b0c8380cd4ba7b","contributors":{"authors":[{"text":"Garvey, J.","contributorId":29243,"corporation":false,"usgs":true,"family":"Garvey","given":"J.","affiliations":[],"preferred":false,"id":444546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ickes, B.","contributorId":87371,"corporation":false,"usgs":true,"family":"Ickes","given":"B.","affiliations":[],"preferred":false,"id":444548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zigler, S.","contributorId":78462,"corporation":false,"usgs":true,"family":"Zigler","given":"S.","affiliations":[],"preferred":false,"id":444547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034190,"text":"70034190 - 2010 - Influence of shell morphology on distributions of unionids in the upper Mississippi River","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034190","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2393,"text":"Journal of Molluscan Studies","active":true,"publicationSubtype":{"id":10}},"title":"Influence of shell morphology on distributions of unionids in the upper Mississippi River","docAbstract":"Attempts to predict the distribution of unionids from readily measurable microhabitat descriptors (i.e. water depth, current velocity, stream size, sediment type) have been largely unsuccessful, but certain biological and calculated hydraulic variables have recently shown some predictive power. We used historic and recent data on unionids (from 1987 to 2003) and hydraulic conditions at 438 sample locations over a 38-km reach of the Upper Mississippi River (Navigation Pool 8) to compare the distribution of unionids with different shell morphologies. We evaluated whether sculptured, thick-shelled (STK) species would be found in areas with higher velocity and shear stress, compared to nonsculptured, thin-shelled (NSTN) species. We used classification trees to model the presence and absence of STK and NSTN species to determine which variables were most likely to predict their distribution. Candidate predictor variables included sampling gear, field substrate, water depth (bathymetry), slope, velocity, shear stress and Froude number under low, moderate and high discharges. Our models predicted that STK mussels would occupy a larger portion of the total aquatic area in this reach of the river than NSTN mussels. However, our data demonstrated that NSTN species used areas of higher shear stress and velocity than STK species, but were also present in backwaters with low energy, thus rejecting our hypothesis. The presence of NSTN species over a wide range of shear stress and velocity was probably due to the wide array of life histories displayed within this guild. Overall, these results are consistent with the flow refuge concept in which unionids are more prevalent in areas with low to moderate hydraulic stresses, regardless of shell morphology, and demonstrate the importance of incorporating abiotic and biotic variables into predictive models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Molluscan Studies","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1093/mollus/eyp045","issn":"02601230","usgsCitation":"Bartsch, M., Zigler, S.J., Newton, T., and Sauer, J., 2010, Influence of shell morphology on distributions of unionids in the upper Mississippi River: Journal of Molluscan Studies, v. 76, no. 1, p. 67-76, https://doi.org/10.1093/mollus/eyp045.","startPage":"67","endPage":"76","numberOfPages":"10","costCenters":[],"links":[{"id":475945,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mollus/eyp045","text":"Publisher Index Page"},{"id":216759,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/mollus/eyp045"},{"id":244646,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-09-29","publicationStatus":"PW","scienceBaseUri":"505a3b7be4b0c8380cd62580","contributors":{"authors":[{"text":"Bartsch, M.R.","contributorId":42908,"corporation":false,"usgs":true,"family":"Bartsch","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":444532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zigler, S. J.","contributorId":21513,"corporation":false,"usgs":true,"family":"Zigler","given":"S.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":444531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":444533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, J.S.","contributorId":106455,"corporation":false,"usgs":true,"family":"Sauer","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":444534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}