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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 2, pp. 156-165

Evaluation of the effect of climatic variables on the dynamics of vegetation cover in Khakassia

S.T. Im 1, 2, 3 
1 Khakassian State University, Abakan, Russia
2 Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russia
3 Siberian Federal University, Krasnoyarsk, Russia
Accepted: 07.03.2024
DOI: 10.21046/2070-7401-2024-21-2-156-165
In Southern Siberia, there is a mixed response of vegetation cover to climate change in the 21st century. In this work, a GIS analysis of the dependence of the dynamics of vegetation cover of Khakassia on climatic factors was carried out based on time series of the Normalized Difference Vegetation Index (NDVI; MODIS (Moderate Resolution Imaging Spectroradiometer) MOD13Q1). The influence of various climatic factors was assessed based on pixel-by-pixel estimations of multiple linear and hierarchical regressions. As a result of the calculations, maps of the coefficients of the variables for the best multiple regression equations and coefficients of determination were created, and the contribution of the analyzed climatic variables to the explained variance of the NDVI variation was assessed. In general, significant multiple linear regression equations (p < 0.05) of the NDVI dynamics (2000–2021) dependence on climate variables were observed for 53 % of the territory of Khakassia. The highest fraction of explained variance corresponded to summer precipitation (median value is 23.0 %), moisture (23.7 %), and soil temperature (22.0 %), as well as summer winds (22.8 %) and spring soil temperatures (22.7 %). The response of the vegetation cover was heterogeneous; in the forest-steppe and steppe zones, the amount of precipitation and soil moisture positively influenced the vegetation cover, and in the mountain-taiga zones, the air temperature had a positive effect. Winds and dry air had a negative impact.
Keywords: southern Siberia, Khakassia, vegetation cover, NDVI, climate, multiple regressions
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