Volume XXXVIII-8/W20
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 129-133, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-8-W20-129-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-8/W20, 129-133, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-8-W20-129-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  31 Aug 2012

31 Aug 2012

SENSITIVITY ANALYSIS OF BIOME-BGC MODEL FOR DRY TROPICAL FORESTS OF VINDHYAN HIGHLANDS, INDIA

M. Kumar1 and A. S. Raghubanshi2 M. Kumar and A. S. Raghubanshi
  • 1Ecosystem Analysis Laboratory, Department of Botany, Banaras Hindu University, Varanasi- 221005, India
  • 2Institute of Environment & Sustainable Development, Banaras Hindu University, Varanasi- 221005, India

Keywords: Biome-BGC model, Dry deciduous forest, Net primary productivity, Sensitivity index, Vindhyan highlands

Abstract. A process-based model BIOME-BGC was run for sensitivity analysis to see the effect of ecophysiological parameters on net primary production (NPP) of dry tropical forest of India. The sensitivity test reveals that the forest NPP was highly sensitive to the following ecophysiological parameters: Canopy light extinction coefficient (k), Canopy average specific leaf area (SLA), New stem C : New leaf C (SC:LC), Maximum stomatal conductance (gs,max), C:N of fine roots (C:Nfr), All-sided to projected leaf area ratio and Canopy water interception coefficient (Wint). Therefore, these parameters need more precision and attention during estimation and observation in the field studies.