World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Map-based Prediction of Organic Carbon in Headwaters Streams Improved by Downstream Observations from the River Outlet : Volume 12, Issue 12 (16/06/2015)

By Temnerud, J.

Click here to view

Book Id: WPLBN0003978431
Format Type: PDF Article :
File Size: Pages 37
Reproduction Date: 2015

Title: Map-based Prediction of Organic Carbon in Headwaters Streams Improved by Downstream Observations from the River Outlet : Volume 12, Issue 12 (16/06/2015)  
Author: Temnerud, J.
Volume: Vol. 12, Issue 12
Language: English
Subject: Science, Biogeosciences, Discussions
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Nyberg, L., Buffam, I., Fölster, J., Brömssen, C. V., Temnerud, J., Andersson, J., & Bishop, K. (2015). Map-based Prediction of Organic Carbon in Headwaters Streams Improved by Downstream Observations from the River Outlet : Volume 12, Issue 12 (16/06/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden. In spite of the great abundance and ecological importance of headwater streams, managers are usually limited by a lack of information about water chemistry in these headwaters. In this study we test whether river outlet chemistry can be used as an additional source of information to improve the prediction of the chemistry of upstream headwaters (size < 2 km2), relative to models based on map information alone. Between 2000 and 2008, we conducted 17 synoptic surveys of streams within 9 mesoscale catchments (size 32–235 km2). Over 900 water samples were collected from catchments ranging in size from 0.03 to 235 km2. First we used partial least square regression (PLS) to model headwater stream total organic carbon (TOC) median and interquartile values for a given catchment, based on a large number of candidate variables including catchment characteristics from GIS, and measured chemistry at the catchment outlet. The best candidate variables from the PLS models were then used in hierarchical linear mixed models (MM) to model TOC in individual headwater streams. Three predictor variables were consistently selected for the MM calibration sets: (1) proportion of forested wetlands in the sub-catchment (positively correlated with headwater stream TOC), (2) proportion of lake surface cover in the sub-catchment (negatively correlated with headwater stream TOC), and (3) whole-catchment river outlet TOC (positively correlated with headwater stream TOC). Including river outlet TOC as a predictor in the models gave 5–15% lower prediction errors than using map information alone. Thus, data on water chemistry measured at river outlets offers information which can complement GIS-based modelling of headwater stream chemistry.

Summary
Map-based prediction of organic carbon in headwaters streams improved by downstream observations from the river outlet

Excerpt
Ågren, A. M., Buffam, I., Cooper, D. M., Tiwari, T., Evans, C. D., and Laudon, H.: Can the heterogeneity in stream dissolved organic carbon be explained by contributing landscape elements?, Biogeosciences, 11, 1199–1213, doi:10.5194/bg-11-1199-2014, 2014.; Akaike, H.: A new look at the statistical model identification, IEEE T. Autom. Contr., 19, 716–723, doi:10.1109/TAC.1974.1100705, 1974.; Birge, E. A. and Juday, C.: The organic content of lake water, P. Natl. Acad. Sci. USA, 12, 515–519, 1926.; Alexander, R. B., Boyer, E. W., Smith, R. A., Schwarz, G. E., and Moore, R. B.: The role of headwater streams in downstream water quality, J. Am. Water Resour. As., 43, 41–59, doi:10.1111/j.1752-1688.2007.00005.x, 2007.; Andersson, J.-O. and Nyberg, L.: Using official map data on topography, wetlands and vegetation cover for prediction of stream water chemistry in boreal headwater catchments, Hydrol. Earth Syst. Sci., 13, 537–549, doi:10.5194/hess-13-537-2009, 2009.; Arheimer, B. and Lindström, G.: Implementing the EU Water Framework Directive in Sweden, in: Runoff Predictions in Ungauged Basins – Synthesis across Processes, Places and Scales, edited by: Blöschl, G., Sivapalan, M., Wagener, T., Viglione, A., and Savenije, H., Cambridge University Press, Cambridge, 353–359, 2013.; Bossard, M., Feranec, J., and Otahel, J.: CORINE land cover technical guide – Addendum 2000, European Environment Agency, Copenhagen, 105 pp., available at: http://www.eea.europa.eu/publications/COR0-landcover (last access: 12 June 2015), 2000.; Brandtberg, P. O., Lundkvist, H., and Bengtsson, J.: Changes in forest-floor chemistry caused by a birch admixture in Norway spruce stands, Forest Ecol. Manag., 130, 253–264, doi:10.1016/S0378-1127(99)00183-8, 2000.; Buffam, I., Laudon, H., Temnerud, J., Mörth, C.-M., and Bishop, K.: Landscape-scale variability of acidity and dissolved organic carbon during spring flood in a boreal stream network, J. Geophys. Res.-Biogeo., 112, G01022, doi:10.1029/2006JG000218, 2007.; Clark, J. M., Bottrell, S. H., Evans, C. D., Monteith, D. T., Bartlett, R., Rose, R., Newton, R. J., and Chapman, P. J.: The importance of the relationship between scale and process in understanding long-term DOC dynamics, Sci. Total Environ., 408, 2768–2775, doi:10.1016/j.scitotenv.2010.02.046, 2010.; Creed, I. F., Sanford, S. E., Beall, F. D., Molot, L. A., and Dillon, P. J.: Cryptic wetlands: integrating hidden wetlands in regression models of the export of dissolved organic carbon from forested landscapes, Hydrol. Process., 17, 3629–3648, doi:10.1002/hyp.1357, 2003.; Edström, M. and Rystam, P.: Network of stations for field research area (in Swedish: FFO – Stationsnät för fältforskningsområden), SMHI hydrology report 53, Swedish Meteorological and Hydrological Institute, Norrköping, 53 pp., 1994.; Eriksson, J. V.: Den kemiska denudationen i Sverige (The chemical denudation of Sweden, in Swedish with a French summary), Report Band 5, Swedish Meteorological and Hydrological Institute, Stockholm, nr. 3, 95 pp., 1929.; Eriksson, L., Johansson, E., Kettaneh-Wold, N., Trygg, J., Wikström, C., and Wold, S.: Multi- and Megavariate Data Analysis – Part 1: Basic Principles and Applications, Umetrics AB, Umeå, 2006.; Evans, C., Cooper, D., Monteith, D., Helliwell, R., Moldan, F., Hall, J., Rowe, E., and Cosby, B.: Linking monitoring and modelling: can

 

Click To View

Additional Books


  • Coexisting Methane and Oxygen Excesses i... (by )
  • Simultaneous Quantification of in Situ I... (by )
  • Impacts of Elevated Co2 on Phytoplankton... (by )
  • Transformation of Dissolved Inorganic Ca... (by )
  • Interactions of Local Climatic, Biotic a... (by )
  • Typhoons Exert Significant but Different... (by )
  • Effects of Nitrate and Phosphate Supply ... (by )
  • Seasonal and Inter-annual Variability of... (by )
  • Sensitivity of the Marine Carbonate Cycl... (by )
  • The Large Variation in Organic Carbon Co... (by )
  • Biomass Burning Fuel Consumption Rates: ... (by )
  • Spatial and Temporal Variation of Methan... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.