{"pageNumber":"912","pageRowStart":"22775","pageSize":"25","recordCount":40797,"records":[{"id":70033097,"text":"70033097 - 2008 - Change-in-ratio density estimator for feral pigs is less biased than closed mark-recapture estimates","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70033097","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Change-in-ratio density estimator for feral pigs is less biased than closed mark-recapture estimates","docAbstract":"Closed-population capture-mark-recapture (CMR) methods can produce biased density estimates for species with low or heterogeneous detection probabilities. In an attempt to address such biases, we developed a density-estimation method based on the change in ratio (CIR) of survival between two populations where survival, calculated using an open-population CMR model, is known to differ. We used our method to estimate density for a feral pig (Sus scrofa) population on Fort Benning, Georgia, USA. To assess its validity, we compared it to an estimate of the minimum density of pigs known to be alive and two estimates based on closed-population CMR models. Comparison of the density estimates revealed that the CIR estimator produced a density estimate with low precision that was reasonable with respect to minimum known density. By contrast, density point estimates using the closed-population CMR models were less than the minimum known density, consistent with biases created by low and heterogeneous capture probabilities for species like feral pigs that may occur in low density or are difficult to capture. Our CIR density estimator may be useful for tracking broad-scale, long-term changes in species, such as large cats, for which closed CMR models are unlikely to work. ?? CSIRO 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1071/WR08076","issn":"10353","usgsCitation":"Hanson, L., Grand, J., Mitchell, M., Jolley, D., Sparklin, B., and Ditchkoff, S., 2008, Change-in-ratio density estimator for feral pigs is less biased than closed mark-recapture estimates: Wildlife Research, v. 35, no. 7, p. 695-699, https://doi.org/10.1071/WR08076.","startPage":"695","endPage":"699","numberOfPages":"5","costCenters":[],"links":[{"id":213361,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WR08076"},{"id":240979,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f403e4b0c8380cd4bab6","contributors":{"authors":[{"text":"Hanson, L.B.","contributorId":36759,"corporation":false,"usgs":true,"family":"Hanson","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":439361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J.B.","contributorId":11150,"corporation":false,"usgs":true,"family":"Grand","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":439358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, M.S.","contributorId":26724,"corporation":false,"usgs":true,"family":"Mitchell","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":439359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolley, D.B.","contributorId":60862,"corporation":false,"usgs":true,"family":"Jolley","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":439362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sparklin, B.D.","contributorId":30047,"corporation":false,"usgs":true,"family":"Sparklin","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":439360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ditchkoff, S.S.","contributorId":100580,"corporation":false,"usgs":true,"family":"Ditchkoff","given":"S.S.","affiliations":[],"preferred":false,"id":439363,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032792,"text":"70032792 - 2008 - Modelling chemical depletion profiles in regolith","interactions":[],"lastModifiedDate":"2012-03-12T17:21:24","indexId":"70032792","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Modelling chemical depletion profiles in regolith","docAbstract":"Chemical or mineralogical profiles in regolith display reaction fronts that document depletion of leachable elements or minerals. A generalized equation employing lumped parameters was derived to model such ubiquitously observed patterns:C = frac(C0, frac(C0 - Cx = 0, Cx = 0) exp (??ini ?? over(k, ??) ?? x) + 1)Here C, Cx = 0, and Co are the concentrations of an element at a given depth x, at the top of the reaction front, or in parent respectively. ??ini is the roughness of the dissolving mineral in the parent and k???? is a lumped kinetic parameter. This kinetic parameter is an inverse function of the porefluid advective velocity and a direct function of the dissolution rate constant times mineral surface area per unit volume regolith. This model equation fits profiles of concentration versus depth for albite in seven weathering systems and is consistent with the interpretation that the surface area (m2 mineral m- 3 bulk regolith) varies linearly with the concentration of the dissolving mineral across the front. Dissolution rate constants can be calculated from the lumped fit parameters for these profiles using observed values of weathering advance rate, the proton driving force, the geometric surface area per unit volume regolith and parent concentration of albite. These calculated values of the dissolution rate constant compare favorably to literature values. The model equation, useful for reaction fronts in both steady-state erosional and quasi-stationary non-erosional systems, incorporates the variation of reaction affinity using pH as a master variable. Use of this model equation to fit depletion fronts for soils highlights the importance of buffering of pH in the soil system. Furthermore, the equation should allow better understanding of the effects of important environmental variables on weathering rates. ?? 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoderma","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.geoderma.2008.02.010","issn":"00167061","usgsCitation":"Brantley, S., Bandstra, J., Moore, J., and White, A.F., 2008, Modelling chemical depletion profiles in regolith: Geoderma, v. 145, no. 3-4, p. 494-504, https://doi.org/10.1016/j.geoderma.2008.02.010.","startPage":"494","endPage":"504","numberOfPages":"11","costCenters":[],"links":[{"id":213738,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2008.02.010"},{"id":241395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"145","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c62e4b0c8380cd6fc59","contributors":{"authors":[{"text":"Brantley, S.L.","contributorId":71676,"corporation":false,"usgs":true,"family":"Brantley","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":437936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bandstra, J.","contributorId":7093,"corporation":false,"usgs":true,"family":"Bandstra","given":"J.","email":"","affiliations":[],"preferred":false,"id":437933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Jeff","contributorId":49059,"corporation":false,"usgs":true,"family":"Moore","given":"Jeff","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":437935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, A. F.","contributorId":36546,"corporation":false,"usgs":true,"family":"White","given":"A.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":437934,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032789,"text":"70032789 - 2008 - An improved state-parameter analysis of ecosystem models using data assimilation","interactions":[],"lastModifiedDate":"2017-04-03T12:55:03","indexId":"70032789","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"An improved state-parameter analysis of ecosystem models using data assimilation","docAbstract":"Much of the effort spent in developing data assimilation methods for carbon dynamics analysis has focused on estimating optimal values for either model parameters or state variables. The main weakness of estimating parameter values alone (i.e., without considering state variables) is that all errors from input, output, and model structure are attributed to model parameter uncertainties. On the other hand, the accuracy of estimating state variables may be lowered if the temporal evolution of parameter values is not incorporated. This research develops a smoothed ensemble Kalman filter (SEnKF) by combining ensemble Kalman filter with kernel smoothing technique. SEnKF has following characteristics: (1) to estimate simultaneously the model states and parameters through concatenating unknown parameters and state variables into a joint state vector; (2) to mitigate dramatic, sudden changes of parameter values in parameter sampling and parameter evolution process, and control narrowing of parameter variance which results in filter divergence through adjusting smoothing factor in kernel smoothing algorithm; (3) to assimilate recursively data into the model and thus detect possible time variation of parameters; and (4) to address properly various sources of uncertainties stemming from input, output and parameter uncertainties. The SEnKF is tested by assimilating observed fluxes of carbon dioxide and environmental driving factor data from an AmeriFlux forest station located near Howland, Maine, USA, into a partition eddy flux model. Our analysis demonstrates that model parameters, such as light use efficiency, respiration coefficients, minimum and optimum temperatures for photosynthetic activity, and others, are highly constrained by eddy flux data at daily-to-seasonal time scales. The SEnKF stabilizes parameter values quickly regardless of the initial values of the parameters. Potential ecosystem light use efficiency demonstrates a strong seasonality. Results show that the simultaneous parameter estimation procedure significantly improves model predictions. Results also show that the SEnKF can dramatically reduce the variance in state variables stemming from the uncertainty of parameters and driving variables. The SEnKF is a robust and effective algorithm in evaluating and developing ecosystem models and in improving the understanding and quantification of carbon cycle parameters and processes. ?? 2008 Elsevier B.V.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2008.07.013","issn":"03043","usgsCitation":"Chen, M., Liu, S., Tieszen, L., and Hollinger, D., 2008, An improved state-parameter analysis of ecosystem models using data assimilation: Ecological Modelling, v. 219, no. 3-4, p. 317-326, https://doi.org/10.1016/j.ecolmodel.2008.07.013.","productDescription":"10 p.","startPage":"317","endPage":"326","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241329,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213678,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2008.07.013"}],"volume":"219","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea73e4b0c8380cd48881","contributors":{"authors":[{"text":"Chen, M.","contributorId":73417,"corporation":false,"usgs":true,"family":"Chen","given":"M.","email":"","affiliations":[],"preferred":false,"id":437917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":437919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, L.L.","contributorId":24046,"corporation":false,"usgs":true,"family":"Tieszen","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":437916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollinger, D.Y.","contributorId":86567,"corporation":false,"usgs":true,"family":"Hollinger","given":"D.Y.","email":"","affiliations":[],"preferred":false,"id":437918,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033651,"text":"70033651 - 2008 - Tile drainage as karst: Conduit flow and diffuse flow in a tile-drained watershed","interactions":[],"lastModifiedDate":"2012-03-12T17:21:28","indexId":"70033651","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Tile drainage as karst: Conduit flow and diffuse flow in a tile-drained watershed","docAbstract":"The similarity of tiled-drained watersheds to karst drainage basins can be used to improve understanding of watershed-scale nutrient losses from subsurface tile drainage networks. In this study, short-term variations in discharge and chemistry were examined from a tile outlet collecting subsurface tile flow from a 963 ha agricultural watershed. Study objectives were to apply analytical techniques from karst springs to tile discharge to evaluate water sources and estimate the loads of agricultural pollutants discharged from the tile with conduit, intermediate and diffuse flow regimes. A two-member mixing model using nitrate, chloride and specific conductance was used to distinguish rainwater versus groundwater inputs. Results indicated that groundwater comprised 75% of the discharge for a three-day storm period and rainwater was primarily concentrated during the hydrograph peak. A contrasting pattern of solute concentrations and export loads was observed in tile flow. During base flow periods, tile flow consisted of diffuse flow from groundwater sources and contained elevated levels of nitrate, chloride and specific conductance. During storm events, suspended solids and pollutants adhered to soil surfaces (phosphorus, ammonium and organic nitrogen) were concentrated and discharged during the rapid, conduit flow portion of the hydrograph. During a three-day period, conduit flow occurred for 5.6% of the time but accounted for 16.5% of the total flow. Nitrate and chloride were delivered primarily with diffuse flow (more than 70%), whereas 80-94% of total suspended sediment, phosphorus and ammonium were exported with conduit and intermediate flow regimes. Understanding the water sources contributing to tile drainage and the manner by which pollutant discharge occurs from these systems (conduit, intermediate or diffuse flow) may be useful for designing, implementing and evaluating non-point source reduction strategies in tile-drained landscapes. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2007.11.014","issn":"00221694","usgsCitation":"Schilling, K.E., and Helmers, M., 2008, Tile drainage as karst: Conduit flow and diffuse flow in a tile-drained watershed: Journal of Hydrology, v. 349, no. 3-4, p. 291-301, https://doi.org/10.1016/j.jhydrol.2007.11.014.","startPage":"291","endPage":"301","numberOfPages":"11","costCenters":[],"links":[{"id":214554,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2007.11.014"},{"id":242289,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"349","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb386e4b08c986b325e42","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":441836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helmers, M.","contributorId":94872,"corporation":false,"usgs":true,"family":"Helmers","given":"M.","email":"","affiliations":[],"preferred":false,"id":441837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033618,"text":"70033618 - 2008 - Differences in phosphorus and nitrogen delivery to the Gulf of Mexico from the Mississippi River Basin","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033618","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"Differences in phosphorus and nitrogen delivery to the Gulf of Mexico from the Mississippi River Basin","docAbstract":"Seasonal hypoxia in the northern Gulf of Mexico has been linked to increased nitrogen fluxes from the Mississippi and Atchafalaya River Basins, though recent evidence shows that phosphorus also influences productivity in the Gulf. We developed a spatially explicit and structurally detailed SPARROW water-quality model that reveals important differences in the sources and transport processes that control nitrogen (N) and phosphorus (P) delivery to the Gulf. Our model simulations indicate that agricultural sources in the watersheds contribute more than 70% of the delivered N and P. However, corn and soybean cultivation is the largest contributor of N (52%), followed by atmospheric deposition sources (16%); whereas P originates primarily from animal manure on pasture and rangelands (37%), followed by corn and soybeans (25%), other crops (18%), and urban sources (12%). The fraction of in-stream P and N load delivered to the Gulf increases with stream size, but reservoir trapping of P causes large local- and regional-scale differences in delivery. Our results indicate the diversity of management approaches required to achieve efficient control of nutrient loads to the Gulf. These include recognition of important differences in the agricultural sources of N and P, the role of atmospheric N, attention to P sources downstream from reservoirs, and better control of both N and P in close proximity to large rivers. ?? 2008 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es0716103","issn":"0013936X","usgsCitation":"Alexander, R.B., Smith, R.A., Schwarz, G., Boyer, E., Nolan, J., and Brakebill, J., 2008, Differences in phosphorus and nitrogen delivery to the Gulf of Mexico from the Mississippi River Basin: Environmental Science & Technology, v. 42, no. 3, p. 822-830, https://doi.org/10.1021/es0716103.","startPage":"822","endPage":"830","numberOfPages":"9","costCenters":[],"links":[{"id":476686,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es0716103","text":"Publisher Index Page"},{"id":214489,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es0716103"},{"id":242221,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-12-21","publicationStatus":"PW","scienceBaseUri":"505a00f0e4b0c8380cd4f9da","contributors":{"authors":[{"text":"Alexander, R. B.","contributorId":108103,"corporation":false,"usgs":true,"family":"Alexander","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":441696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, R. A.","contributorId":60584,"corporation":false,"usgs":true,"family":"Smith","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":441695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, G. E. 0000-0002-9239-4566","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":14852,"corporation":false,"usgs":true,"family":"Schwarz","given":"G. E.","affiliations":[],"preferred":false,"id":441692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, E.W.","contributorId":56358,"corporation":false,"usgs":false,"family":"Boyer","given":"E.W.","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":441694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nolan, J.V.","contributorId":14653,"corporation":false,"usgs":true,"family":"Nolan","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":441691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":441693,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033649,"text":"70033649 - 2008 - Extent of the last ice sheet in northern Scotland tested with cosmogenic 10Be exposure ages","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033649","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"Extent of the last ice sheet in northern Scotland tested with cosmogenic 10Be exposure ages","docAbstract":"The extent of the last British-Irish Ice Sheet (BIIS) in northern Scotland is disputed. A restricted ice sheet model holds that at the global Last Glacial Maximum (LGM; ca. 23-19 ka) the BIIS terminated on land in northern Scotland, leaving Buchan, Caithness and the Orkney Islands ice-free. An alternative model implies that these three areas were ice-covered at the LGM, with the BIIS extending offshore onto the adjacent shelves. We test the two models using cosmogenic 10Be surface exposure dating of erratic boulders and glacially eroded bedrock from the three areas. Our results indicate that the last BIIS covered all of northern Scotland during the LGM, but that widespread deglaciation of Caithness and Orkney occurred prior to rapid warming at ca. 14.5 ka. Copyright ?? 2008 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Quaternary Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/jqs.1161","issn":"02678179","usgsCitation":"Phillips, W., Hall, A., Ballantyne, C., Binnie, S., Kubik, P., and Freeman, S., 2008, Extent of the last ice sheet in northern Scotland tested with cosmogenic 10Be exposure ages: Journal of Quaternary Science, v. 23, no. 2, p. 101-107, https://doi.org/10.1002/jqs.1161.","startPage":"101","endPage":"107","numberOfPages":"7","costCenters":[],"links":[{"id":214521,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jqs.1161"},{"id":242255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-01-25","publicationStatus":"PW","scienceBaseUri":"505a0e4ee4b0c8380cd533b9","contributors":{"authors":[{"text":"Phillips, W.M.","contributorId":49332,"corporation":false,"usgs":true,"family":"Phillips","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":441830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, A.M.","contributorId":40400,"corporation":false,"usgs":true,"family":"Hall","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":441829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballantyne, C.K.","contributorId":86564,"corporation":false,"usgs":true,"family":"Ballantyne","given":"C.K.","email":"","affiliations":[],"preferred":false,"id":441832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Binnie, S.","contributorId":16222,"corporation":false,"usgs":true,"family":"Binnie","given":"S.","email":"","affiliations":[],"preferred":false,"id":441827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kubik, P.W.","contributorId":21691,"corporation":false,"usgs":true,"family":"Kubik","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":441828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, S.","contributorId":78492,"corporation":false,"usgs":true,"family":"Freeman","given":"S.","email":"","affiliations":[],"preferred":false,"id":441831,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031981,"text":"70031981 - 2008 - Change in the forested and developed landscape of the Lake Tahoe basin, California and Nevada, USA, 1940-2002","interactions":[],"lastModifiedDate":"2012-03-12T17:21:28","indexId":"70031981","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"Change in the forested and developed landscape of the Lake Tahoe basin, California and Nevada, USA, 1940-2002","docAbstract":"The current ecological state of the Lake Tahoe basin has been shaped by significant landscape-altering human activity and management practices since the mid-1850s; first through widespread timber harvesting from the 1850s to 1920s followed by urban development from the 1950s to the present. Consequences of landscape change, both from development and forest management practices including fire suppression, have prompted rising levels of concern for the ecological integrity of the region. The impacts from these activities include decreased water quality, degraded biotic communities, and increased fire hazard. To establish an understanding of the Lake Tahoe basin's landscape change in the context of forest management and development we mapped, quantified, and described the spatial and temporal distribution and variability of historical changes in land use and land cover in the southern Lake Tahoe basin (279 km2) from 1940 to 2002. Our assessment relied on post-classification change detection of multi-temporal land-use/cover and impervious-surface-area data that were derived through manual interpretation, image processing, and GIS data integration for four dates of imagery: 1940, 1969, 1987, and 2002. The most significant land conversion during the 62-year study period was an increase in developed lands with a corresponding decrease in forests, wetlands, and shrublands. Forest stand densities increased throughout the 62-year study period, and modern thinning efforts resulted in localized stand density decreases in the latter part of the study period. Additionally forests were gained from succession, and towards the end of the study period extensive tree mortality occurred. The highest rates of change occurred between 1940 and 1969, corresponding with dramatic development, then rates declined through 2002 for all observed landscape changes except forest density decrease and tree mortality. Causes of landscape change included regional population growth, tourism demands, timber harvest for local use, fire suppression, bark beetle attack, and fuels reduction activities. Results from this study offer land managers within the Lake Tahoe basin and in similar regions a basis for making better informed land-use and management decisions to potentially minimize detrimental ecological impacts of landscape change. The perspective to be gained is based on quantitative retrospection of the effects of human-driven changes and the impacts of management action or inaction to the forested landscape. ?? 2008 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.foreco.2008.02.028","issn":"03781127","usgsCitation":"Raumann, C., and Cablk, M.E., 2008, Change in the forested and developed landscape of the Lake Tahoe basin, California and Nevada, USA, 1940-2002: Forest Ecology and Management, v. 255, no. 8-9, p. 3424-3439, https://doi.org/10.1016/j.foreco.2008.02.028.","startPage":"3424","endPage":"3439","numberOfPages":"16","costCenters":[],"links":[{"id":214679,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2008.02.028"},{"id":242425,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"255","issue":"8-9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f401e4b0c8380cd4baa9","contributors":{"authors":[{"text":"Raumann, C.G.","contributorId":24583,"corporation":false,"usgs":true,"family":"Raumann","given":"C.G.","affiliations":[],"preferred":false,"id":433989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cablk, Mary E.","contributorId":26517,"corporation":false,"usgs":true,"family":"Cablk","given":"Mary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":433990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033724,"text":"70033724 - 2008 - Distribution, occupancy, and habitat correlates of American martens (Martes americana) in Rocky Mountain National Park, Colorado","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033724","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Distribution, occupancy, and habitat correlates of American martens (Martes americana) in Rocky Mountain National Park, Colorado","docAbstract":"A clear understanding of habitat associations of martens (Martes americana) is necessary to effectively manage and monitor populations. However, this information was lacking for martens in most of their southern range, particularly during the summer season. We studied the distribution and habitat correlates of martens from 2004 to 2006 in Rocky Mountain National Park (RMNP) across 3 spatial scales: site-specific, home-range, and landscape. We used remote-sensored cameras from early August through late October to inventory occurrence of martens and modeled occurrence as a function of habitat and landscape variables using binary response (BR) and binomial count (BC) logistic regression, and occupancy modeling (OM). We also assessed which was the most appropriate modeling technique for martens in RMNP. Of the 3 modeling techniques, OM appeared to be most appropriate given the explanatory power of derived models and its incorporation of detection probabilities, although the results from BR and BC provided corroborating evidence of important habitat correlates. Location of sites in the western portion of the park, riparian mixed-conifer stands, and mixed-conifer with aspen patches were most frequently positively correlated with occurrence of martens, whereas more xeric and open sites were avoided. Additionally, OM yielded unbiased occupancy values ranging from 91% to 100% and 20% to 30% for the western and eastern portions of RMNP, respectively. ?? 2008 American Society of Mammalogists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1644/07-MAMM-A-053R1.1","issn":"00222372","usgsCitation":"Baldwin, R., and Bender, L.C., 2008, Distribution, occupancy, and habitat correlates of American martens (Martes americana) in Rocky Mountain National Park, Colorado: Journal of Mammalogy, v. 89, no. 2, p. 419-427, https://doi.org/10.1644/07-MAMM-A-053R1.1.","startPage":"419","endPage":"427","numberOfPages":"9","costCenters":[],"links":[{"id":487717,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/07-mamm-a-053r1.1","text":"Publisher Index Page"},{"id":214140,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/07-MAMM-A-053R1.1"},{"id":241834,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0321e4b0c8380cd50361","contributors":{"authors":[{"text":"Baldwin, R.A.","contributorId":100206,"corporation":false,"usgs":true,"family":"Baldwin","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":442160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bender, Louis C.","contributorId":72509,"corporation":false,"usgs":true,"family":"Bender","given":"Louis","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":442159,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033723,"text":"70033723 - 2008 - Distinguishing black carbon from biogenic humic substances in soil clay fractions","interactions":[],"lastModifiedDate":"2018-10-17T09:00:21","indexId":"70033723","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing black carbon from biogenic humic substances in soil clay fractions","docAbstract":"<div id=\"abstracts\" class=\"Abstracts\"><div id=\"aep-abstract-id11\" class=\"abstract author\"><div id=\"aep-abstract-sec-id12\"><p>Most models of soil humic substances include a substantial component of aromatic C either as the backbone of humic heteropolymers or as a significant component of supramolecular aggregates of degraded biopolymers. We physically separated coarse (0.2–2.0&nbsp;μm e.s.d.), medium (0.02–0.2&nbsp;μm e.s.d.), and fine (&gt;&nbsp;0.02&nbsp;μm e.s.d.) clay subfractions from three Midwestern soils and characterized the organic material associated with these subfractions using<span>&nbsp;</span><sup>13</sup>C-CPMAS-NMR, DTG, SEM-EDX, incubations, and radiocarbon age. Most of the C in the coarse clay subfraction was present as discrete particles (0.2–5&nbsp;μm as seen in SEM images) of black carbon (BC) and consisted of approximately 60% aromatic C, with the remainder being a mixture of aliphatic, anomeric and carboxylic C. We hypothesize that BC particles were originally charcoal formed during prairie fires. As the BC particles aged in soil their surfaces were oxidized to form carboxylic groups and anomeric and aliphatic C accumulated in the BC particles either by adsorption of dissolved biogenic compounds from the soil solution or by direct deposition of biogenic materials from microbes living within the BC particles. The biogenic soil organic matter was physically separated with the medium and fine clay subfractions and was dominated by aliphatic, anomeric, and carboxylic C. The results indicate that the biogenic humic materials in our soils have little aromatic C, which is inconsistent with the traditional heteropolymer model of humic substances.</p></div></div></div>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.geoderma.2007.10.025","issn":"00167061","usgsCitation":"Laird, D., Chappell, M., Martens, D., Wershaw, R., and Thompson, M., 2008, Distinguishing black carbon from biogenic humic substances in soil clay fractions: Geoderma, v. 143, no. 1-2, p. 115-122, https://doi.org/10.1016/j.geoderma.2007.10.025.","productDescription":"8 p.","startPage":"115","endPage":"122","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241800,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214110,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2007.10.025"}],"volume":"143","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0250e4b0c8380cd4ffc8","contributors":{"authors":[{"text":"Laird, D.A.","contributorId":35134,"corporation":false,"usgs":true,"family":"Laird","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":442155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chappell, M.A.","contributorId":47592,"corporation":false,"usgs":true,"family":"Chappell","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":442156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martens, D.A.","contributorId":10236,"corporation":false,"usgs":true,"family":"Martens","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":442154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wershaw, R.L.","contributorId":62223,"corporation":false,"usgs":true,"family":"Wershaw","given":"R.L.","affiliations":[],"preferred":false,"id":442157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, M.","contributorId":108218,"corporation":false,"usgs":true,"family":"Thompson","given":"M.","email":"","affiliations":[],"preferred":false,"id":442158,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033722,"text":"70033722 - 2008 - Seasonal temperature responses to land-use change in the western United States","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033722","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal temperature responses to land-use change in the western United States","docAbstract":"In the western United States, more than 79 000??km2 has been converted to irrigated agriculture and urban areas. These changes have the potential to alter surface temperature by modifying the energy budget at the land-atmosphere interface. This study reports the seasonally varying temperature responses of four regional climate models (RCMs) - RSM, RegCM3, MM5-CLM3, and DRCM - to conversion of potential natural vegetation to modern land-cover and land-use over a 1-year period. Three of the RCMs supplemented soil moisture, producing large decreases in the August mean (- 1.4 to - 3.1????C) and maximum (- 2.9 to - 6.1????C) 2-m air temperatures where natural vegetation was converted to irrigated agriculture. Conversion to irrigated agriculture also resulted in large increases in relative humidity (9% to 36% absolute change). Modeled changes in the August minimum 2-m air temperature were not as pronounced or consistent across the models. Converting natural vegetation to urban land-cover produced less pronounced temperature effects in all models, with the magnitude of the effect dependent upon the preexisting vegetation type and urban parameterizations. Overall, the RCM results indicate that the temperature impacts of land-use change are most pronounced during the summer months, when surface heating is strongest and differences in surface soil moisture between irrigated land and natural vegetation are largest. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gloplacha.2007.03.005","issn":"09218181","usgsCitation":"Kueppers, L., Snyder, M., Sloan, L., Cayan, D., Jin, J., Kanamaru, H., Kanamitsu, M., Miller, N., Tyree, M., Du, H., and Weare, B., 2008, Seasonal temperature responses to land-use change in the western United States: Global and Planetary Change, v. 60, no. 3-4, p. 250-264, https://doi.org/10.1016/j.gloplacha.2007.03.005.","startPage":"250","endPage":"264","numberOfPages":"15","costCenters":[],"links":[{"id":214109,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2007.03.005"},{"id":241799,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88dce4b08c986b316be8","contributors":{"authors":[{"text":"Kueppers, L.M.","contributorId":95703,"corporation":false,"usgs":true,"family":"Kueppers","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":442153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, M.A.","contributorId":30053,"corporation":false,"usgs":true,"family":"Snyder","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":442146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sloan, L.C.","contributorId":83688,"corporation":false,"usgs":true,"family":"Sloan","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":442150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, D.","contributorId":49563,"corporation":false,"usgs":true,"family":"Cayan","given":"D.","email":"","affiliations":[],"preferred":false,"id":442148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jin, J.","contributorId":28084,"corporation":false,"usgs":true,"family":"Jin","given":"J.","email":"","affiliations":[],"preferred":false,"id":442145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kanamaru, H.","contributorId":40816,"corporation":false,"usgs":true,"family":"Kanamaru","given":"H.","email":"","affiliations":[],"preferred":false,"id":442147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kanamitsu, M.","contributorId":9443,"corporation":false,"usgs":true,"family":"Kanamitsu","given":"M.","email":"","affiliations":[],"preferred":false,"id":442143,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, N.L.","contributorId":82904,"corporation":false,"usgs":true,"family":"Miller","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":442149,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tyree, Mary","contributorId":85414,"corporation":false,"usgs":true,"family":"Tyree","given":"Mary","email":"","affiliations":[],"preferred":false,"id":442151,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Du, H.","contributorId":12275,"corporation":false,"usgs":true,"family":"Du","given":"H.","email":"","affiliations":[],"preferred":false,"id":442144,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weare, B.","contributorId":91701,"corporation":false,"usgs":true,"family":"Weare","given":"B.","email":"","affiliations":[],"preferred":false,"id":442152,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70032060,"text":"70032060 - 2008 - Inverse geochemical modeling of groundwater evolution with emphasis on arsenic in the Mississippi River Valley alluvial aquifer, Arkansas (USA)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70032060","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Inverse geochemical modeling of groundwater evolution with emphasis on arsenic in the Mississippi River Valley alluvial aquifer, Arkansas (USA)","docAbstract":"Inverse geochemical modeling (PHREEQC) was used to identify the evolution of groundwater with emphasis on arsenic (As) release under reducing conditions in the shallow (25-30 m) Mississippi River Valley Alluvial aquifer, Arkansas, USA. The modeling was based on flow paths defined by high-precision (??2 cm) water level contour map; X-ray diffraction (XRD), scanning electron microscopic (SEM), and chemical analysis of boring-sediments for minerals; and detailed chemical analysis of groundwater along the flow paths. Potential phases were constrained using general trends in chemical analyses data of groundwater and sediments, and saturation indices data (MINTEQA2) of minerals in groundwater. Modeling results show that calcite, halite, fluorite, Fe oxyhydroxide, organic matter, H2S (gas) were dissolving with mole transfers of 1.40E - 03, 2.13E - 04, 4.15E - 06, 1.25E + 01, 3.11, and 9.34, respectively along the dominant flow line. Along the same flow line, FeS, siderite, and vivianite were precipitating with mole transfers of 9.34, 3.11, and 2.64E - 07, respectively. Cation exchange reactions of Ca2+ (4.93E - 04 mol) for Na+ (2.51E - 04 mol) on exchange sites occurred along the dominant flow line. Gypsum dissolution reactions were dominant over calcite dissolution in some of the flow lines due to the common ion effect. The concentration of As in groundwater ranged from <0.5 to 77 ??g/L. Twenty percent total As was complexed with Fe and Mn oxyhydroxides. The redox environment, chemical data of sediments and groundwater, and the results of inverse geochemical modeling indicate that reductive dissolution of Fe oxyhydroxide is the dominant process of As release in the groundwater. The relative rate of reduction of Fe oxyhydroxide over SO42 - with co-precipitation of As into sulfide is the limiting factor controlling dissolved As in groundwater. ?? 2007 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2007.11.027","issn":"00221694","usgsCitation":"Sharif, M., Davis, R., Steele, K., Kim, B., Kresse, T., and Fazio, J., 2008, Inverse geochemical modeling of groundwater evolution with emphasis on arsenic in the Mississippi River Valley alluvial aquifer, Arkansas (USA): Journal of Hydrology, v. 350, no. 1-2, p. 41-55, https://doi.org/10.1016/j.jhydrol.2007.11.027.","startPage":"41","endPage":"55","numberOfPages":"15","costCenters":[],"links":[{"id":214875,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2007.11.027"},{"id":242631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"350","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3e4be4b0c8380cd63c5e","contributors":{"authors":[{"text":"Sharif, M.U.","contributorId":106243,"corporation":false,"usgs":true,"family":"Sharif","given":"M.U.","email":"","affiliations":[],"preferred":false,"id":434358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, R.K.","contributorId":85307,"corporation":false,"usgs":true,"family":"Davis","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":434356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, K.F.","contributorId":50270,"corporation":false,"usgs":true,"family":"Steele","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":434354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, B.","contributorId":93173,"corporation":false,"usgs":true,"family":"Kim","given":"B.","email":"","affiliations":[],"preferred":false,"id":434357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kresse, T.M.","contributorId":107019,"corporation":false,"usgs":true,"family":"Kresse","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":434359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fazio, J.A.","contributorId":63135,"corporation":false,"usgs":true,"family":"Fazio","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":434355,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033721,"text":"70033721 - 2008 - Factors controlling nitrogen release from two forested catchments with contrasting hydrochemical responses","interactions":[],"lastModifiedDate":"2018-10-22T10:48:33","indexId":"70033721","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling nitrogen release from two forested catchments with contrasting hydrochemical responses","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Quantifying biogeochemical cycles of nitrogen (N) and the associated fluxes to surface waters remains challenging, given the need to deal with spatial and temporal variability and to characterize complex and heterogeneous landscapes. We focused our study on catchments S14 and S15 located in the Adirondack Mountains of New York, USA, which have similar topographic and hydrologic characteristics but contrasting stream nitrate ($\\hbox{NO}_{3}^{-}$) concentrations. We characterized the mechanisms by which $\\hbox{NO}_{3}^{-}$<span>&nbsp;</span>reaches the streams during hydrological events in these catchments, aiming to reconcile our field data with our conceptual model of factors that regulate nutrient exports from forested catchments. Combined hydrometric, chemical and isotopic (δ$\\hbox{NO}_{3}^{-}$) data showed that the relative contributions of both soil and ground water sources were similar between the two catchments. Temporal patterns of stream chemistry were markedly different between S14 and S15, however, because the water sources in the two catchments have different solute concentrations. During late summer/fall, the largest source of $\\hbox{NO}_{3}^{-}$<span>&nbsp;</span>in S14 was till groundwater, whereas shallow soil was the largest $\\hbox{NO}_{3}^{-}$<span>&nbsp;</span>source in S15. $\\hbox{NO}_{3}^{-}$<span>&nbsp;</span>concentrations in surface water decreased in S14, whereas they increased in S15 because an increasing proportion of stream flow was derived from shallow soil sources. During snowmelt, the largest sources of $\\hbox{NO}_{3}^{-}$were in the near‐surface soil in both catchments. Concentrations of $\\hbox{NO}_{3}^{-}$<span>&nbsp;</span>increased as stream discharge increased and usually peaked before peak discharge, when shallow soil water sources made the largest contribution to stream discharge. The timing of peaks in stream $\\hbox{NO}_{3}^{-}$concentrations was affected by antecedent moisture conditions. By elucidating the factors that affect sources and transport of N, including differences in the soil nutrient cycling and hydrological characteristics of S14 and S15, this study contributes to the overall conceptualization of $\\hbox{NO}_{3}^{-}$<span>&nbsp;</span>release from temperate forested catchments.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.6632","issn":"08856087","usgsCitation":"Christopher, S., Mitchell, M., McHale, M., Boyer, E., Burns, D.A., and Kendall, C., 2008, Factors controlling nitrogen release from two forested catchments with contrasting hydrochemical responses: Hydrological Processes, v. 22, no. 1, p. 46-62, https://doi.org/10.1002/hyp.6632.","productDescription":"17 p.","startPage":"46","endPage":"62","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":242294,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214559,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.6632"}],"volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-06-18","publicationStatus":"PW","scienceBaseUri":"505a0ebae4b0c8380cd535c1","contributors":{"authors":[{"text":"Christopher, S.F.","contributorId":52413,"corporation":false,"usgs":true,"family":"Christopher","given":"S.F.","email":"","affiliations":[],"preferred":false,"id":442139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, M.J.","contributorId":72940,"corporation":false,"usgs":true,"family":"Mitchell","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":442142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McHale, Michael 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, E.W.","contributorId":56358,"corporation":false,"usgs":false,"family":"Boyer","given":"E.W.","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":442140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, C. 0000-0002-0247-3405","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":35050,"corporation":false,"usgs":true,"family":"Kendall","given":"C.","affiliations":[],"preferred":false,"id":442138,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031976,"text":"70031976 - 2008 - Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites","interactions":[],"lastModifiedDate":"2019-10-03T14:23:58","indexId":"70031976","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites","docAbstract":"We developed an integrated hydroecological model to provide a comprehensive set of hydrologic variables representing five major components of the flow regime at 856 aquatic-invertebrate monitoring sites in New Jersey. The hydroecological model simulates streamflow by routing water that moves overland and through the subsurface from atmospheric delivery to the watershed outlet. Snow accumulation and melt, evapotranspiration, precipitation, withdrawals, discharges, pervious- and impervious-area runoff, and lake storage were accounted for in the water balance. We generated more than 78 flow variables, which describe the frequency, magnitude, duration, rate of change, and timing of flow events. Highly correlated variables were filtered by principal component analysis to obtain a non-redundant subset of variables that explain the majority of the variation in the complete set. This subset of variables was used to evaluate the effect of changes in the flow regime on aquatic-invertebrate assemblage structure at 856 biomonitoring sites. We used non-metric multidimensional scaling (NMS) to evaluate variation in aquatic-invertebrate assemblage structure across a disturbance gradient. We employed multiple linear regression (MLR) analysis to build a series of MLR models that identify the most important environmental and hydrologic variables driving the differences in the aquatic-invertebrate assemblages across the disturbance gradient. The first axis of NMS ordination was significantly related to many hydrologic, habitat, and land-use/land-cover variables, including the average number of annual storms producing runoff, ratio of 25-75% exceedance flow (flashiness), diversity of natural stream substrate, and the percentage of forested land near the stream channel (forest buffer). Modifications in the hydrologic regime as the result of changes in watershed land use appear to promote the retention of highly tolerant aquatic species; in contrast, species that are sensitive to hydrologic instability and other anthropogenic disturbance become much less prevalent. We also found strong relations between an index of invertebrate-assemblage impairment, its component metrics, and the primary disturbance gradient. The process-oriented watershed modeling approach used in this study provides a means to evaluate how natural landscape features interact with anthropogenic factors and assess their effects on flow characteristics and stream ecology. By combining watershed modeling and indirect ordination techniques, we were able to identify components of the hydrologic regime that have a considerable effect on aquatic-assemblage structure and help in developing short- and long-term management measures that mitigate the effects of anthropogenic disturbance in stream systems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2007.08.014","issn":"03043800","usgsCitation":"Kennen, J., Kauffman, L.J., Ayers, M.A., Wolock, D., and Colarullo, S.J., 2008, Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites: Ecological Modelling, v. 211, no. 1-2, p. 57-76, https://doi.org/10.1016/j.ecolmodel.2007.08.014.","productDescription":"20 p.","startPage":"57","endPage":"76","numberOfPages":"20","costCenters":[{"id":470,"text":"New Jersey Water Science 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A.","contributorId":41417,"corporation":false,"usgs":true,"family":"Ayers","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":433972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":433971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colarullo, Susan J. 0000-0003-4504-0068 colarull@usgs.gov","orcid":"https://orcid.org/0000-0003-4504-0068","contributorId":652,"corporation":false,"usgs":true,"family":"Colarullo","given":"Susan","email":"colarull@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":433974,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031980,"text":"70031980 - 2008 - A linked hydrodynamic and water quality model for the Salton Sea","interactions":[],"lastModifiedDate":"2018-02-06T12:19:24","indexId":"70031980","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"A linked hydrodynamic and water quality model for the Salton Sea","docAbstract":"A linked hydrodynamic and water quality model was developed and applied to the Salton Sea. The hydrodynamic component is based on the one-dimensional numerical model, DLM. The water quality model is based on a new conceptual model for nutrient cycling in the Sea, and simulates temperature, total suspended sediment concentration, nutrient concentrations, including PO4-3, NO3-1 and NH4+1, DO concentration and chlorophyll a concentration as functions of depth and time. Existing water temperature data from 1997 were used to verify that the model could accurately represent the onset and breakup of thermal stratification. 1999 is the only year with a near-complete dataset for water quality variables for the Salton Sea. The linked hydrodynamic and water quality model was run for 1999, and by adjustment of rate coefficients and other water quality parameters, a good match with the data was obtained. In this article, the model is fully described and the model results for reductions in external phosphorus load on chlorophyll a distribution are presented. ?? 2008 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-008-9311-6","issn":"00188158","usgsCitation":"Chung, E., Schladow, S., Perez-Losada, J., and Robertson, D.M., 2008, A linked hydrodynamic and water quality model for the Salton Sea: Hydrobiologia, v. 604, no. 1, p. 57-75, https://doi.org/10.1007/s10750-008-9311-6.","startPage":"57","endPage":"75","numberOfPages":"19","costCenters":[],"links":[{"id":242392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214648,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-008-9311-6"}],"volume":"604","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-03-18","publicationStatus":"PW","scienceBaseUri":"5059e438e4b0c8380cd464f0","contributors":{"authors":[{"text":"Chung, E.G.","contributorId":89773,"corporation":false,"usgs":true,"family":"Chung","given":"E.G.","email":"","affiliations":[],"preferred":false,"id":433987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schladow, S.G.","contributorId":92791,"corporation":false,"usgs":true,"family":"Schladow","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":433988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perez-Losada, J.","contributorId":48054,"corporation":false,"usgs":true,"family":"Perez-Losada","given":"J.","email":"","affiliations":[],"preferred":false,"id":433986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":433985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032782,"text":"70032782 - 2008 - Summer E. coli patterns and responses along 23 Chicago beaches","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70032782","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"Summer E. coli patterns and responses along 23 Chicago beaches","docAbstract":"Concentrations of E. coli in recreational beach water are highly variable both locally and temporally, but a broader understanding of these fluctuations may be explained through coastal observations. Currently, beach contamination study approaches tend to be site-specific underthe belief that politically delineated beaches are unique and management of beaches cannot be regionally oriented. E. coli data collected over five years from 23 Chicago beaches clearly identified ambient linked patterns at the regional scale. Temporal fluctuations were similar, with all beaches having simultaneous peaks and troughs of E. coli concentrations. Spatially, E. coli concentrations for beaches more closely situated were more closely correlated, indicating spatial autocorrelation. Julian day, wave height, and barometric pressure explained up to 40% of the variation, a value comparable to individual, less parsimonious site-specific models. Day of sampling could explain the majority of the variation in E. coli concentrations, more so than beach, depth, or time of day. Comparing beaches along a targeted coastline allows a better understanding of inherent background regional fluctuations and, ultimately, better predictions of E. coli concentrations in coastal recreational water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es8019758","issn":"00139","usgsCitation":"Whitman, R., and Nevers, M., 2008, Summer E. coli patterns and responses along 23 Chicago beaches: Environmental Science & Technology, v. 42, no. 24, p. 9217-9224, https://doi.org/10.1021/es8019758.","startPage":"9217","endPage":"9224","numberOfPages":"8","costCenters":[],"links":[{"id":241774,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214085,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es8019758"}],"volume":"42","issue":"24","noUsgsAuthors":false,"publicationDate":"2008-11-14","publicationStatus":"PW","scienceBaseUri":"505b9f32e4b08c986b31e3dc","contributors":{"authors":[{"text":"Whitman, R.L.","contributorId":69750,"corporation":false,"usgs":true,"family":"Whitman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":437884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, M.B.","contributorId":13787,"corporation":false,"usgs":true,"family":"Nevers","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":437883,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032773,"text":"70032773 - 2008 - Modelling the impact of wind stress and river discharge on Danshuei River plume","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032773","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":840,"text":"Applied Mathematical Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modelling the impact of wind stress and river discharge on Danshuei River plume","docAbstract":"A three-dimensional, time-dependent, baroclinic, hydrodynamic and salinity model, UnTRIM, was performed and applied to the Danshuei River estuarine system and adjacent coastal sea in northern Taiwan. The model forcing functions consist of tidal elevations along the open boundaries and freshwater inflows from the main stream and major tributaries in the Danshuei River estuarine system. The bottom friction coefficient was adjusted to achieve model calibration and verification in model simulations of barotropic and baroclinic flows. The turbulent diffusivities were ascertained through comparison of simulated salinity time series with observations. The model simulation results are in qualitative agreement with the available field data. The validated model was then used to investigate the influence of wind stress and freshwater discharge on Dasnhuei River plume. As the absence of wind stress, the anticyclonic circulation is prevailed along the north to west coast. The model results reveal when winds are downwelling-favorable, the surface low-salinity waters are flushed out and move to southwest coast. Conversely, large amounts of low-salinity water flushed out the Danshuei River mouth during upwelling-favorable winds, as the buoyancy-driven circulation is reversed. Wind stress and freshwater discharge are shown to control the plume structure. ?? 2007 Elsevier Inc. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Mathematical Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apm.2007.03.009","issn":"0307904X","usgsCitation":"Liu, W., Chen, W., Cheng, R.T., and Hsu, M., 2008, Modelling the impact of wind stress and river discharge on Danshuei River plume: Applied Mathematical Modelling, v. 32, no. 7, p. 1255-1280, https://doi.org/10.1016/j.apm.2007.03.009.","startPage":"1255","endPage":"1280","numberOfPages":"26","costCenters":[],"links":[{"id":487694,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apm.2007.03.009","text":"Publisher Index Page"},{"id":213985,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apm.2007.03.009"},{"id":241667,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c77e4b0c8380cd6fd08","contributors":{"authors":[{"text":"Liu, W.-C.","contributorId":9468,"corporation":false,"usgs":true,"family":"Liu","given":"W.-C.","email":"","affiliations":[],"preferred":false,"id":437850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, W.-B.","contributorId":62413,"corporation":false,"usgs":true,"family":"Chen","given":"W.-B.","email":"","affiliations":[],"preferred":false,"id":437853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng, R. T.","contributorId":23138,"corporation":false,"usgs":false,"family":"Cheng","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":437851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsu, M.-H.","contributorId":28074,"corporation":false,"usgs":true,"family":"Hsu","given":"M.-H.","email":"","affiliations":[],"preferred":false,"id":437852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032772,"text":"70032772 - 2008 - Using the Model Coupling Toolkit to couple earth system models","interactions":[],"lastModifiedDate":"2017-10-04T18:57:12","indexId":"70032772","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Using the Model Coupling Toolkit to couple earth system models","docAbstract":"Continued advances in computational resources are providing the opportunity to operate more sophisticated numerical models. Additionally, there is an increasing demand for multidisciplinary studies that include interactions between different physical processes. Therefore there is a strong desire to develop coupled modeling systems that utilize existing models and allow efficient data exchange and model control. The basic system would entail model \"1\" running on \"M\" processors and model \"2\" running on \"N\" processors, with efficient exchange of model fields at predetermined synchronization intervals. Here we demonstrate two coupled systems: the coupling of the ocean circulation model Regional Ocean Modeling System (ROMS) to the surface wave model Simulating WAves Nearshore (SWAN), and the coupling of ROMS to the atmospheric model Coupled Ocean Atmosphere Prediction System (COAMPS). Both coupled systems use the Model Coupling Toolkit (MCT) as a mechanism for operation control and inter-model distributed memory transfer of model variables. In this paper we describe requirements and other options for model coupling, explain the MCT library, ROMS, SWAN and COAMPS models, methods for grid decomposition and sparse matrix interpolation, and provide an example from each coupled system. Methods presented in this paper are clearly applicable for coupling of other types of models. ?? 2008 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.envsoft.2008.03.002","issn":"13648152","usgsCitation":"Warner, J., Perlin, N., and Skyllingstad, E., 2008, Using the Model Coupling Toolkit to couple earth system models: Environmental Modelling and Software, v. 23, no. 10-11, p. 1240-1249, https://doi.org/10.1016/j.envsoft.2008.03.002.","productDescription":"10 p.","startPage":"1240","endPage":"1249","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":241634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"10-11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc0b0e4b08c986b32a281","contributors":{"authors":[{"text":"Warner, J.C.","contributorId":46644,"corporation":false,"usgs":true,"family":"Warner","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":437848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perlin, N.","contributorId":25004,"corporation":false,"usgs":true,"family":"Perlin","given":"N.","email":"","affiliations":[],"preferred":false,"id":437847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skyllingstad, E.D.","contributorId":57670,"corporation":false,"usgs":true,"family":"Skyllingstad","given":"E.D.","email":"","affiliations":[],"preferred":false,"id":437849,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033617,"text":"70033617 - 2008 - Dissolved metals and associated constituents in abandoned coal-mine discharges, Pennsylvania, USA. Part 2: Geochemical controls on constituent concentrations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033617","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved metals and associated constituents in abandoned coal-mine discharges, Pennsylvania, USA. Part 2: Geochemical controls on constituent concentrations","docAbstract":"Water-quality data for discharges from 140 abandoned mines in the Anthracite and Bituminous Coalfields of Pennsylvania reveal complex relations among the pH and dissolved solute concentrations that can be explained with geochemical equilibrium models. Observed values of pH ranged from 2.7 to 7.3 in the coal-mine discharges (CMD). Generally, flow rates were smaller and solute concentrations were greater for low-pH CMD samples; pH typically increased with flow rate. Although the frequency distribution of pH was similar for the anthracite and bituminous discharges, the bituminous discharges had smaller median flow rates; greater concentrations of SO4, Fe, Al, As, Cd, Cu, Ni and Sr; comparable concentrations of Mn, Cd, Zn and Se; and smaller concentrations of Ba and Pb than anthracite discharges with the same pH values. The observed relations between the pH and constituent concentrations can be attributed to (1) dilution of acidic water by near-neutral or alkaline ground water; (2) solubility control of Al, Fe, Mn, Ba and Sr by hydroxide, sulfate, and/or carbonate minerals; and (3) aqueous SO4-complexation and surface-complexation (adsorption) reactions. The formation of AlSO4+ and AlHSO42 + complexes adds to the total dissolved Al concentration at equilibrium with Al(OH)3 and/or Al hydroxysulfate phases and can account for 10-20 times greater concentrations of dissolved Al in SO4-laden bituminous discharges compared to anthracite discharges at pH of 5. Sulfate complexation can also account for 10-30 times greater concentrations of dissolved FeIII concentrations at equilibrium with Fe(OH)3 and/or schwertmannite (Fe8O8(OH)4.5(SO4)1.75) at pH of 3-5. In contrast, lower Ba concentrations in bituminous discharges indicate that elevated SO4 concentrations in these CMD sources could limit Ba concentrations by the precipitation of barite (BaSO4). Coprecipitation of Sr with barite could limit concentrations of this element. However, concentrations of dissolved Pb, Cu, Cd, Zn, and most other trace cations in CMD samples were orders of magnitude less than equilibrium with sulfate, carbonate, and/or hydroxide minerals. Surface complexation (adsorption) by hydrous ferric oxides (HFO) could account for the decreased concentrations of these divalent cations with increased pH. In contrast, increased concentrations of As and, to a lesser extent, Se with increased pH could result from the adsorption of these oxyanions by HFO at low pH and desorption at near-neutral pH. Hence, the solute concentrations in CMD and the purity of associated \"ochres\" formed in CMD settings are expected to vary with pH and aqueous SO4 concentration, with potential for elevated SO4, As and Se in ochres formed at low pH and elevated Cu, Cd, Pb and Zn in ochres formed at near-neutral pH. Elevated SO4 content of ochres could enhance the adsorption of cations at low pH, but decrease the adsorption of anions such as As. Such information on environmental processes that control element concentrations in aqueous samples and associated precipitates could be useful in the design of systems to reduce dissolved contaminant concentrations and/or to recover potentially valuable constituents in mine effluents.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2007.10.003","issn":"08832927","usgsCitation":"Cravotta, C., 2008, Dissolved metals and associated constituents in abandoned coal-mine discharges, Pennsylvania, USA. Part 2: Geochemical controls on constituent concentrations: Applied Geochemistry, v. 23, no. 2, p. 203-226, https://doi.org/10.1016/j.apgeochem.2007.10.003.","startPage":"203","endPage":"226","numberOfPages":"24","costCenters":[],"links":[{"id":214462,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2007.10.003"},{"id":242190,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0236e4b0c8380cd4ff4a","contributors":{"authors":[{"text":"Cravotta, C.A. III","contributorId":18405,"corporation":false,"usgs":true,"family":"Cravotta","given":"C.A.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":441690,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70033719,"text":"70033719 - 2008 - Changes in consumption by alewives and lake whitefish after dreissenid mussel invasions in Lakes Michigan and Huron","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033719","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Changes in consumption by alewives and lake whitefish after dreissenid mussel invasions in Lakes Michigan and Huron","docAbstract":"Growth of alewives Alosa pseudoharengus and lake whitefish Coregonus clupeaformis has declined since the arrival and spread of dreissenid mussels in Lakes Michigan and Huron. Alewives are the main forage for the salmonids in Lake Michigan, and lake whitefish are the most important commercial species in both lakes. Bioenergetics modeling was used to determine consumption by the average individual fish before and after the dreissenid invasion and to provide insight into the invasion's effects on fish growth and food web dynamics. Alewives feed on both Zooplankton and benthic macroinvertebrates, and lake whitefish are benthivores. Annual consumption of zooplankton by an average alewife in Lake Michigan was 37% lower and consumption of benthic macroinvertebrates (amphipods Diporeia spp., opossum shrimp Mysis relicta, and Chironomidae) was 19% lower during the postinvasion period (1995-2005) than during the preinvasion period (1983-1994). Reduced consumption by alewives corresponded with reduced alewife growth. In Lakes Michigan and Huron, consumption of nonmollusk macroinvertebrates (Diporeia spp., opossum shrimp, Chironomidae) by the average lake whitefish was 46-96% lower and consumption of mollusks (mainly dreissenids and gastropods) was 2-5 times greater during the postinvasion period than during the preinvasion period. Even though total food consumption by lake whitefish did not differ between the two periods in Lake Huron or the Southern Management Unit in Lake Michigan, postinvasion weight at age was at least 38% lower than preinvasion weight at age. Under the current postinvasion diet regime, consumption by lake whitefish would have to increase by up to 122% to achieve preinvasion growth rates. ?? Copyright by the American Fisheries Society 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/M07-022.1","issn":"02755947","usgsCitation":"Pothoven, S., and Madenjian, C., 2008, Changes in consumption by alewives and lake whitefish after dreissenid mussel invasions in Lakes Michigan and Huron: North American Journal of Fisheries Management, v. 28, no. 1, p. 308-320, https://doi.org/10.1577/M07-022.1.","startPage":"308","endPage":"320","numberOfPages":"13","costCenters":[],"links":[{"id":214526,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M07-022.1"},{"id":242260,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-01","publicationStatus":"PW","scienceBaseUri":"5059f40ee4b0c8380cd4baf9","contributors":{"authors":[{"text":"Pothoven, S.A.","contributorId":52778,"corporation":false,"usgs":true,"family":"Pothoven","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":442127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":442128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033615,"text":"70033615 - 2008 - Winter fidelity and apparent survival of lesser snow goose populations in the Pacific flyway","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033615","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"Winter fidelity and apparent survival of lesser snow goose populations in the Pacific flyway","docAbstract":"The Beringia region of the Arctic contains 2 colonies of lesser snow geese (Chen caerulescens caerulescens) breeding on Wrangel Island, Russia, and Banks Island, Canada, and wintering in North America. The Wrangel Island population is composed of 2 subpopulations from a sympatric breeding colony but separate wintering areas, whereas the Banks Island population shares a sympatric wintering area in California, USA, with one of the Wrangel Island subpopulations. The Wrangel Island colony represents the last major snow goose population in Russia and has fluctuated considerably since 1970, whereas the Banks Island population has more than doubled. The reasons for these changes are unclear, but hypotheses include independent population demographics (survival and recruitment) and immigration and emigration among breeding or wintering populations. These demographic and movement patterns have important ecological and management implications for understanding goose population structure, harvest of admixed populations, and gene flow among populations with separate breeding or wintering areas. From 1993 to 1996, we neckbanded molting birds at their breeding colonies and resighted birds on the wintering grounds. We used multistate mark-recapture models to evaluate apparent survival rates, resighting rates, winter fidelity, and potential exchange among these populations. We also compared the utility of face stain in Wrangel Island breeding geese as a predictor of their wintering area. Our results showed similar apparent survival rates between subpopulations of Wrangel Island snow geese and lower apparent survival, but higher emigration, for the Banks Island birds. Males had lower apparent survival than females, most likely due to differences in neckband loss. Transition between wintering areas was low (<3%), with equal movement between northern and southern wintering areas for Wrangel Island birds and little evidence of exchange between the Banks and northern Wrangel Island populations. Face staining was an unreliable indicator of wintering area. Our findings suggest that northern and southern Wrangel Island subpopulations should be considered a metapopulation in better understanding and managing Pacific Flyway lesser snow geese. Yet the absence of a strong population connection between Banks Island and Wrangel Island geese suggests that these breeding colonies can be managed as separate but overlapping populations. Additionally, winter population fidelity may be more important in lesser snow geese than in other species, and both breeding and wintering areas are important components of population management for sympatric wintering populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2005-748","issn":"0022541X","usgsCitation":"Williams, C., Samuel, M., Baranyuk, V.V., Cooch, E., and Kraege, D.K., 2008, Winter fidelity and apparent survival of lesser snow goose populations in the Pacific flyway: Journal of Wildlife Management, v. 72, no. 1, p. 159-167, https://doi.org/10.2193/2005-748.","startPage":"159","endPage":"167","numberOfPages":"9","costCenters":[],"links":[{"id":214431,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2005-748"},{"id":242157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505bd14de4b08c986b32f34f","contributors":{"authors":[{"text":"Williams, C.K.","contributorId":8301,"corporation":false,"usgs":true,"family":"Williams","given":"C.K.","email":"","affiliations":[],"preferred":false,"id":441681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, M.D.","contributorId":13910,"corporation":false,"usgs":true,"family":"Samuel","given":"M.D.","affiliations":[],"preferred":false,"id":441682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baranyuk, Vasily V.","contributorId":75482,"corporation":false,"usgs":false,"family":"Baranyuk","given":"Vasily","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":441685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooch, E.G.","contributorId":40932,"corporation":false,"usgs":true,"family":"Cooch","given":"E.G.","email":"","affiliations":[],"preferred":false,"id":441684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kraege, Donald K.","contributorId":19738,"corporation":false,"usgs":false,"family":"Kraege","given":"Donald","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":441683,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032052,"text":"70032052 - 2008 - Ground-based thermography of fluvial systems at low and high discharge reveals potential complex thermal heterogeneity driven by flow variation and bioroughness","interactions":[],"lastModifiedDate":"2018-10-22T08:07:48","indexId":"70032052","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Ground-based thermography of fluvial systems at low and high discharge reveals potential complex thermal heterogeneity driven by flow variation and bioroughness","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Temperature is a primary physical and biogeochemical variable in aquatic systems. Field‐based measurement of temperature at discrete sampling points has revealed temperature variability in fluvial systems, but traditional techniques do not readily allow for synoptic sampling schemes that can address temperature‐related questions with broad, yet detailed, coverage. We present results of thermal infrared imaging at different stream discharge (base flow and peak flood) conditions using a handheld IR camera. Remotely sensed temperatures compare well with those measured with a digital thermometer. The thermal images show that periphyton, wood, and sandbars induce significant thermal heterogeneity during low stages. Moreover, the images indicate temperature variability within the periphyton community and within the partially submerged bars. The thermal heterogeneity was diminished during flood inundation, when the areas of more slowly moving water to the side of the stream differed in their temperature. The results have consequences for thermally sensitive hydroecological processes and implications for models of those processes, especially those that assume an effective stream temperature. Copyright © 2008 John Wiley &amp; Sons, Ltd.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.6932","issn":"08856087","usgsCitation":"Cardenas, M., Harvey, J., Packman, A., and Scott, D., 2008, Ground-based thermography of fluvial systems at low and high discharge reveals potential complex thermal heterogeneity driven by flow variation and bioroughness: Hydrological Processes, v. 22, no. 7, p. 980-986, https://doi.org/10.1002/hyp.6932.","productDescription":"7 p.","startPage":"980","endPage":"986","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":242498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214748,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.6932"}],"volume":"22","issue":"7","noUsgsAuthors":false,"publicationDate":"2008-01-31","publicationStatus":"PW","scienceBaseUri":"505a2b6ae4b0c8380cd5b962","contributors":{"authors":[{"text":"Cardenas, M.B.","contributorId":88575,"corporation":false,"usgs":true,"family":"Cardenas","given":"M.B.","affiliations":[],"preferred":false,"id":434328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, J. W. 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":39725,"corporation":false,"usgs":true,"family":"Harvey","given":"J. W.","affiliations":[],"preferred":false,"id":434326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Packman, A.I.","contributorId":37539,"corporation":false,"usgs":true,"family":"Packman","given":"A.I.","email":"","affiliations":[],"preferred":false,"id":434325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, D.T.","contributorId":44324,"corporation":false,"usgs":true,"family":"Scott","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":434327,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033071,"text":"70033071 - 2008 - Orbital identification of carbonate-bearing rocks on Mars","interactions":[],"lastModifiedDate":"2012-03-12T17:21:37","indexId":"70033071","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Orbital identification of carbonate-bearing rocks on Mars","docAbstract":"Geochemical models for Mars predict carbonate formation during aqueous alteration. Carbonate-bearing rocks had not previously been detected on Mars' surface, but Mars Reconnaissance Orbiter mapping reveals a regional rock layer with near-infrared spectral characteristics that are consistent with the presence of magnesium carbonate in the Nili Fossae region. The carbonate is closely associated with both phyllosilicate-bearing and olivine-rich rock units and probably formed during the Noachian or early Hesperian era from the alteration of olivine by either hydrothermal fluids or near-surface water. The presence of carbonate as well as accompanying clays suggests that waters were neutral to alkaline at the time of its formation and that acidic weathering, proposed to be characteristic of Hesperian Mars, did not destroy these carbonates and thus did not dominate all aqueous environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1126/science.1164759","issn":"00368","usgsCitation":"Ehlmann, B., Mustard, J., Murchie, S., Poulet, F., Bishop, J., Brown, A., Calvin, W.M., Clark, R.N., Des Marais, D., Milliken, R., Roach, L., Roush, T.L., Swayze, G., and Wray, J., 2008, Orbital identification of carbonate-bearing rocks on Mars: Science, v. 322, no. 5909, p. 1828-1832, https://doi.org/10.1126/science.1164759.","startPage":"1828","endPage":"1832","numberOfPages":"5","costCenters":[],"links":[{"id":476679,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20121016-112524059","text":"External Repository"},{"id":213490,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1164759"},{"id":241117,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"322","issue":"5909","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6f2fe4b0c8380cd759a6","contributors":{"authors":[{"text":"Ehlmann, B.L.","contributorId":107837,"corporation":false,"usgs":true,"family":"Ehlmann","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":439267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mustard, J.F.","contributorId":91605,"corporation":false,"usgs":true,"family":"Mustard","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":439265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murchie, S.L.","contributorId":7369,"corporation":false,"usgs":true,"family":"Murchie","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":439255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulet, F.","contributorId":61551,"corporation":false,"usgs":true,"family":"Poulet","given":"F.","email":"","affiliations":[],"preferred":false,"id":439260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, J.L.","contributorId":83244,"corporation":false,"usgs":true,"family":"Bishop","given":"J.L.","affiliations":[],"preferred":false,"id":439263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, A.J.","contributorId":54803,"corporation":false,"usgs":true,"family":"Brown","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":439259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Calvin, W. M.","contributorId":17379,"corporation":false,"usgs":false,"family":"Calvin","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":439256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":439254,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Des Marais, D.J.","contributorId":84075,"corporation":false,"usgs":true,"family":"Des Marais","given":"D.J.","affiliations":[],"preferred":false,"id":439264,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Milliken, R.E.","contributorId":98022,"corporation":false,"usgs":true,"family":"Milliken","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":439266,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roach, L.H.","contributorId":80906,"corporation":false,"usgs":true,"family":"Roach","given":"L.H.","email":"","affiliations":[],"preferred":false,"id":439262,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Roush, T. L.","contributorId":77661,"corporation":false,"usgs":false,"family":"Roush","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":439261,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Swayze, G.A. 0000-0002-1814-7823","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":21570,"corporation":false,"usgs":true,"family":"Swayze","given":"G.A.","affiliations":[],"preferred":false,"id":439257,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wray, J.J.","contributorId":26049,"corporation":false,"usgs":true,"family":"Wray","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":439258,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70033068,"text":"70033068 - 2008 - Soil magnetic susceptibility: A quantitative proxy of soil drainage for use in ecological restoration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:37","indexId":"70033068","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Soil magnetic susceptibility: A quantitative proxy of soil drainage for use in ecological restoration","docAbstract":"Flooded, saturated, or poorly drained soils are commonly anaerobic, leading to microbially induced magnetite/maghemite dissolution and decreased soil magnetic susceptibility (MS). Thus, MS is considerably higher in well-drained soils (MS typically 40-80 ?? 10-5 standard international [SI]) compared to poorly drained soils (MS typically 10-25 ?? 10-5 SI) in Illinois, other soil-forming factors being equal. Following calibration to standard soil probings, MS values can be used to rapidly and precisely delineate hydric from nonhydric soils in areas with relatively uniform parent material. Furthermore, soil MS has a moderate to strong association with individual tree species' distribution across soil moisture regimes, correlating inversely with independently reported rankings of a tree species' flood tolerance. Soil MS mapping can thus provide a simple, rapid, and quantitative means for precisely guiding reforestation with respect to plant species' adaptations to soil drainage classes. For instance, in native woodlands of east-central Illinois, Quercus alba , Prunus serotina, and Liriodendron tulipifera predominantly occur in moderately well-drained soils (MS 40-60 ?? 10-5 SI), whereas Acer saccharinum, Carya laciniosa, and Fraxinus pennsylvanica predominantly occur in poorly drained soils (MS <20 ?? 10-5 SI). Using a similar method, an MS contour map was used to guide restoration of mesic, wet mesic, and wet prairie species to pre-settlement distributions at Meadowbrook Park (Urbana, IL, U.S.A.). Through use of soil MS maps calibrated to soil drainage class and native vegetation occurrence, restoration efforts can be conducted more successfully and species distributions more accurately reconstructed at the microecosystem level. ?? 2008 Society for Ecological Restoration International.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1526-100X.2008.00479.x","issn":"10612","usgsCitation":"Grimley, D., Wang, J., Liebert, D., and Dawson, J., 2008, Soil magnetic susceptibility: A quantitative proxy of soil drainage for use in ecological restoration: Restoration Ecology, v. 16, no. 4, p. 657-667, https://doi.org/10.1111/j.1526-100X.2008.00479.x.","startPage":"657","endPage":"667","numberOfPages":"11","costCenters":[],"links":[{"id":241083,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213457,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2008.00479.x"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-11-26","publicationStatus":"PW","scienceBaseUri":"505b9207e4b08c986b319c54","contributors":{"authors":[{"text":"Grimley, D.A.","contributorId":18530,"corporation":false,"usgs":true,"family":"Grimley","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":439244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, J.-S.","contributorId":67297,"corporation":false,"usgs":true,"family":"Wang","given":"J.-S.","email":"","affiliations":[],"preferred":false,"id":439245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liebert, D.A.","contributorId":11010,"corporation":false,"usgs":true,"family":"Liebert","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":439243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, J.O.","contributorId":77367,"corporation":false,"usgs":true,"family":"Dawson","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":439246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032013,"text":"70032013 - 2008 - A simple model for predicting survival of angler-caught and released largemouth bass","interactions":[],"lastModifiedDate":"2012-03-12T17:21:28","indexId":"70032013","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"A simple model for predicting survival of angler-caught and released largemouth bass","docAbstract":"We conducted a controlled experiment in the laboratory to assess the influence of anatomical hooking location and water temperature on survival of angler-caught and released largemouth bass Micropterus salmoides. Survival was 98% (58 of 59 fish) among fish that were hand-hooked within the oral cavity (including the gills), whereas survival was 66% (33 of 50 fish) among fish that were hand-hooked in the esophagus. Survival of hooked fish was not significantly influenced by water temperature (7-27??C) or the hooking location X water temperature interaction. We combined our results with prior research to develop a predictive model of largemouth bass survival, which was 98.3% (SD = 1.87%) for fish hooked in the oral cavity and 55.0% (SD = 9.70%) for fish hooked in the esophagus. The model is valid for water temperatures ranging from 7??C to 27??C and allows one to estimate, with known precision, the survival of angler-caught and released largemouth bass without the need for controlled studies or for holding fish in pens or cages to assess delayed mortality. ?? Copyright by the American Fisheries Society 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/T06-273.1","issn":"00028487","usgsCitation":"Wilde, G., and Pope, K., 2008, A simple model for predicting survival of angler-caught and released largemouth bass: Transactions of the American Fisheries Society, v. 137, no. 3, p. 834-840, https://doi.org/10.1577/T06-273.1.","startPage":"834","endPage":"840","numberOfPages":"7","costCenters":[],"links":[{"id":214649,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T06-273.1"},{"id":242393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"5059e590e4b0c8380cd46e1e","contributors":{"authors":[{"text":"Wilde, G.R.","contributorId":54799,"corporation":false,"usgs":true,"family":"Wilde","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":434140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, K.L.","contributorId":20454,"corporation":false,"usgs":true,"family":"Pope","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":434139,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032011,"text":"70032011 - 2008 - Probable flood predictions in ungauged coastal basins of El Salvador","interactions":[],"lastModifiedDate":"2012-03-12T17:21:28","indexId":"70032011","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Probable flood predictions in ungauged coastal basins of El Salvador","docAbstract":"A regionalization procedure is presented and used to predict probable flooding in four ungauged coastal river basins of El Salvador: Paz, Jiboa, Grande de San Miguel, and Goascoran. The flood-prediction problem is sequentially solved for two regions: upstream mountains and downstream alluvial plains. In the upstream mountains, a set of rainfall-runoff parameter values and recurrent peak-flow discharge hydrographs are simultaneously estimated for 20 tributary-basin models. Application of dissimilarity equations among tributary basins (soft prior information) permitted development of a parsimonious parameter structure subject to information content in the recurrent peak-flow discharge values derived using regression equations based on measurements recorded outside the ungauged study basins. The estimated joint set of parameter values formed the basis from which probable minimum and maximum peak-flow discharge limits were then estimated revealing that prediction uncertainty increases with basin size. In the downstream alluvial plain, model application of the estimated minimum and maximum peak-flow hydrographs facilitated simulation of probable 100-year flood-flow depths in confined canyons and across unconfined coastal alluvial plains. The regionalization procedure provides a tool for hydrologic risk assessment and flood protection planning that is not restricted to the case presented herein. ?? 2008 ASCE.","largerWorkTitle":"Journal of Hydrologic Engineering","language":"English","doi":"10.1061/(ASCE)1084-0699(2008)13:5(321)","issn":"10840699","usgsCitation":"Friedel, M., Smith, M., Chica, A., and Litke, D., 2008, Probable flood predictions in ungauged coastal basins of El Salvador, <i>in</i> Journal of Hydrologic Engineering, v. 13, no. 5, p. 321-332, https://doi.org/10.1061/(ASCE)1084-0699(2008)13:5(321).","startPage":"321","endPage":"332","numberOfPages":"12","costCenters":[],"links":[{"id":214618,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1084-0699(2008)13:5(321)"},{"id":242358,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8cc5e4b0c8380cd7e896","contributors":{"authors":[{"text":"Friedel, M.J.","contributorId":90823,"corporation":false,"usgs":true,"family":"Friedel","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":434131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, M.E.","contributorId":104525,"corporation":false,"usgs":true,"family":"Smith","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":434132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chica, A.M.E.","contributorId":105139,"corporation":false,"usgs":true,"family":"Chica","given":"A.M.E.","email":"","affiliations":[],"preferred":false,"id":434133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Litke, D.","contributorId":64906,"corporation":false,"usgs":true,"family":"Litke","given":"D.","affiliations":[],"preferred":false,"id":434130,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}