Estimation of forests productivity response on local climatic variations within territory of Ukraine with satellite data using
DOI:
https://doi.org/10.36023/ujrs.2015.6.55Keywords:
forest, carbon cycle, climate change, gross primary productivity, remote sensing, principal component analysisAbstract
Forests biomass is a significant carbon pool. And the dynamic of forest productivity is directly related to climatic factors of the territories. In the paper the analysis of the terrestrial forest productivity and climate drivers on regional levels has been done.
The gross primary production (GPP) and net primary production (NPP) from a global satellite-based terrestrial production efficiency model MOD17 as the forest productivity indicator and meteorological data from the weather station network as climatic indicators were used. Correlation analysis between forest productivity and climatic indicators for different growing seasons and landscape-climatic zones of Ukraine has been done. Multiple linear regression models for corresponding seasons and zones have been simulated using the principal component analysis (PCA).
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