Successful modeling of the environmental changes' influence on forests' vegetation over North Eurasia

TL;DR

This study models North Eurasian forest vegetation changes from 1982 to 2006 using remote sensing and meteorological data, achieving high accuracy and aiding climate-forest feedback research.

Contribution

It introduces a model incorporating meteorological and geomagnetic parameters to accurately simulate forest vegetation dynamics over a large region.

Findings

Correlation coefficients ~ 0.9 between model and data

Model effective for both coniferous evergreen and deciduous forests

Potential applications in climate-forests feedback studies

Abstract

Modeling of forests' vegetation in North Eurasia has been performed for 1982-2006 on the basis of remote sensing data. Four meteorological parameters and one parameter, characterizing geomagnetic field disturbance level, were used for this aim. It was found out that revealed formula is adequate both for coniferous evergreen and coniferous deciduous forests for accuracy to a coefficient. The most proper parameters' combination gives the correlation coefficients ~ 0.9 between modeling parameter and original data rows. These results could solve problems of climate-forests feedbacks' investigations and be useful for dendrological aims.