[M-IS05] Environmental, Socio-economic, and Climatic Changes in Northern Eurasia

[MIS05-P04] Matching the distribution of wetland ecosystems with the hydrothermal parameters of the soil.

*Vasiliy Yurievich Bogomolov^1,2,3、Artur Abbazov²、Anna Ryazanova¹ (1.Institute of Monitoring of Climatic and Ecological Systems of the Siberian Branch of the Russian Academy of Sciences、2.Faculty of Geology and Geography of Tomsk State University, Russian Federation、3.Research Computing Center Lomonosov Moscow State University, Russian Federation)

Wetlands are territories with a special distribution of soil characteristics. There is a discrepancy between current datasets on the spatial distribution of wetlands and global datasets on hydrothermodynamic parameters of soils. This leads to the fact that wetlands are incorrectly reproduced in models, and there are no features inherent in wetlands associated with peat accumulation processes. This significantly affects the global assessment of carbon stocks and the carbon cycle in the models.

There is a need to compare different data sets for a more accurate description of soil and surface parameters.

The purpose of this study is to adjust the global dataset of thermodynamic parameters of wetlands by minimizing their inconsistency with the known spatial distribution of wetlands. The objective of the research is to develop a universal methodology for the harmonization of data sets using mathematical and statistical methods to more accurately determine soil parameters.

The main hypothesis of the study is that if at some point there are wetlands (peat height is more than 30 cm) and the porosity parameter (maximum water content in the soil) at this point is less than 0.85 cm3/cm3 at a depth of 30 cm, then the hydrothermodynamic parameters of the soil in the global database need to be adjusted because they are not consistent with the measured data (HPA).

Using the matching methodology, it is possible to coordinate different sets of data on the spatial distribution of swamps on the surface and the granulometric composition of the soil. This will increase the accuracy of bog modeling and estimate the content of accumulated carbon.
This work is performed within framework of the IMCES project FWRG-2021-0004