Research Article

Distribution of soil carbon stocks in Canada's forests and wetlands simulated based on drainage class, topography and remotely sensed vegetation parameters

  1. Weimin Ju*,
  2. Jing M. Chen

Article first published online: 13 JAN 2005

DOI: 10.1002/hyp.5775

Issue

Hydrological Processes

Hydrological Processes

Special Issue: Canadian Geophysical Union—Hydrology Section

Volume 19, Issue 1, pages 77–94, January 2005

Additional Information

How to Cite

Ju, W. and Chen, J. M. (2005), Distribution of soil carbon stocks in Canada's forests and wetlands simulated based on drainage class, topography and remotely sensed vegetation parameters. Hydrol. Process., 19: 77–94. doi: 10.1002/hyp.5775

Author Information

  1. Department of Geography, University of Toronto, Toronto, Ontario, Canada

*Department of Geography, University of Toronto, 100 St George St., Rm 5047, Toronto, Ontario M5S 3G3, Canada.

Publication History

  1. Issue published online: 13 JAN 2005
  2. Article first published online: 13 JAN 2005
  3. Manuscript Accepted: 1 MAR 2004
  4. Manuscript Received: 13 MAY 2003

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Keywords:

  • soil carbon;
  • forest carbon;
  • wetland;
  • drainage class;
  • topography;
  • remote sensing

Abstract

A quasi-three-dimensional hydrological model was developed and integrated into the integrated terrestrial ecosystem carbon-budget model (InTEC V3·0) to improve the estimation of the carbon (C) dynamics in Canadian forests and wetlands. Climate, soil, digital elevation map, and drainage class data, in conjunction with remotely sensed vegetation parameters, including leaf area index, land cover type, and stand age, are used to drive the model. Soil is divided into three layers, for which temperature and moisture dynamics are simulated. Individual 1 km × 1 km pixels are hydrologically linked with neighbouring pixels through subsurface saturated base-flow, which is simulated using a TOPMODEL-based scheme. Soil C and nitrogen (N) dynamics are simulated using the soil submodel of CENTURY suitably modified for forests and wetlands. The interannual variation in net primary productivity is iteratively computed after integrating the effects of N, climate, stand age and atmospheric CO2 concentration on productivity. Compared with data in the Soil Landscape of Canada, the newly updated InTEC V3·0 can capture 66·6% of spatial variations in soil C and effectively alleviate soil C underestimation in wetland areas from its predecessor (InTEC V2·0) by considering the lateral water flow and the water table variation. Copyright © 2005 John Wiley & Sons, Ltd.

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