V.N. Sukachev Institute of Forest  
Laboratory of Ecophysiology of Permafrost Systems  

About our project

Work packages


Field sites





WP 2. Carbon storage in soils

WP 2 Team:

  • Georg Guggenberger (PhD, Senior Researcher) – PI
  • Olga Shibistova (PhD, Senior Researcher)
  • Mikhail Korets (PhD, Senior Researcher)

WP 2 Motivation:

  • When estimating the potential losses of carbon from soil as CO2, CH4 or dissolved organic matter, upon permafrost degradation the primary parameter is the amount of organic carbon stored in the soil
  • As soil organic carbon measurements can be done for single spots only, an upscaling of the information is needed that can be possibly performed by remote sensing techniques using e.g. vegetation information and geomorphic properties as proxies for the soil organic carbon stocks

WP 2 Research questions:

  • How much organic carbon is stored in permafrost soils?
  • How is the organic carbon storage related to abiotic parameters such as climatic conditions and permafrost regime, parent material and soil texture, aspect and inclination?
  • Can the soil type used as an integral of the influence of these parameters on soil carbon storage?
  • Can vegetation data be used to infer on soil organic carbon storage using remote sensing techniques?

WP 2 Approaches:

  • Soil sampling along field transects across major landscape units of the research sites with determination of important environmental variables
  • Analysis of soil parameters:
     - Bulk density, texture, pH
     - Organic carbon and total nitrogen
     - δ13C and δ15N of organic matter
     - 14C on selected samples
  • Data analysis:

     - Simple and multivariate statistical techniques to identify relationships between soil organic matter storage and environmental variables

     - Upscaling using existing or newly developed land cover classification (work package 1)

     - Development of algorithm with work package 1 that enables the use of remote sensing data to estimate soil organic carbon stocsk

  • To relate results to abiotic variables and products obtained in WPs 1, 2, and 3