ADVANCING INFORMATION TECHNOLOGIES FOR THE SUSTAINABLE MANAGEMENT OF PASTURE VEGETATION RESOURCES IN THE FACE OF LIMITING FACTORS

Received 02.08.2024
Revised 31.10.2024
Published 06.12.2024

Abstract

This paper presents an analysis of the application of spectrozonal satellite imagery for the comprehensive spatial and temporal assessment of productivity (Gross Primary Productivity, GPP) and the forage plant reserves in reindeer pastures across the European Arctic. Over recent decades, models have been developed to characterise the unique changes in photosynthetic carbon flux within tundra ecosystems and their temporal spectral variations due to climatic fluctuations. Analysis of MODIS satellite data (MOD13Q1) from 2000 to 2022 has revealed statistically significant changes in the gross aboveground biomass of tundra communities in specific regions of the Arctic. Notably, a general increase in green forage reserves was observed across most tundra communities during this period. The observed productivity growth, as detected through satellite imagery, aligns with the onset and progression of a phase of increasing surface air temperatures (SAT)

Keywords

pasture reindeer herding in the European North of Russia information technologies
Suggested citation
Elsakov, V. (2024). ADVANCING INFORMATION TECHNOLOGIES FOR THE SUSTAINABLE MANAGEMENT OF PASTURE VEGETATION RESOURCES IN THE FACE OF LIMITING FACTORS. Bulletin of the Kyrgyz National Agrarian University, 22(5), 181-190.

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