International workshop on

  
Koli (c) Metla/Erkki Oksanen

Development of Models and Forest Soil Surveys for Monitoring of Soil Carbon

April 5-8, 2006 at Koli, Finland
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On methods of regional and local soil organic matter pools evaluation and modelling for soil monitoring in the forests of European Russia

Oleg Chertov1*, Alexander Komarov2, Alexey Mikhailov2, Sergey Bykhovets2, Anton Loukianov2 and Marina Nadporozskaya1

1 Biological Institute of St. Petersburg State University, Oranienbaum Rd. 2, 198905, St. Petersburg, Russia.
2 Institute of Physical, Chemical and Biological Problems in Soil Science, Russian Academy of Sciences, Pushchino, Russia
* Corresponding author; currently: University of Applied Sciences Bingen, Berlinstr. 109, 55411 Bingen, Germany; Phone +49 6721 409 127, Fax +49 6721 409 110, e-mail chertov@fh-bingen.de

A quantitative evaluation of soil organic matter (SOM) pools and their dynamics in forest soils under the impact of changing climate and forest management is crucial for the assessment of the role of forests and silviculture in carbon balance at national level. This is an important task in a frame of Kioto Protocol. Russia has very rich forest soil data. This data allows for a compilation of soil databases of different spatial resolution. Obviously, the soil data of any spatial level should be combined with forest inventory for carbon balance assessment. We propose the methods of implementation of regional soil databases and compilation of spatially distributed SOM data of local/stand level joined with forest inventory maps, local and regional forest statistics.

At the regional level, the method is based on scientific materials (collected in the given region) on correlation of soil units and SOM pools with forest vegetation and site types. This data is linking with the regional forest statistics at a matrix “forest type – dominating tree species – age class - area” with SOM pools calculation for every unit and the whole region. At the local level, the same approach to use the experimental data is applied. However, the values of SOM pools are compiling for every forest inventory compartment for the area under investigation. The compiled SOM pools at regional and local levels can be further aggregated for soil C evaluation at national level. The obtained SOM data is an indispensable base for running SOM and forest ecosystem simulators to understand the trends of soil C changes under various silvicultural regimes and environmental changes. Two case studies on the application of regional and local SOM pools compilation combined with simulation models ROMUL and EFIMOD are discussed in the presentation. This approach allows for an effective assessment of SOM pools and dynamics for the forests of European Russia.

 
   Päivitetty:   02.03.2006 / EKel Metla : Events   Palaute Metlan etusivulle
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