Remote sensing based study on vegetation dynamics in drylands of Kazakhstan

Auteurs

• Pavel Propastin

Paramètres

• Manuels
• Manuels universitaires

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The natural environment of drylands is highly vulnerable and fragile, with significant climate variations expected to be strongly influenced by climate change. Remote sensing and GIS are crucial for understanding the impacts of climate on drylands and their vegetation cover at global, regional, and local scales. This work examines the dynamics of drylands in Kazakhstan using two decades of remote sensing data and climate records. The author approaches the issue from various perspectives, combining analyses across multiple time and spatial scales. The study explores the interrelationship between climate and vegetation cover—spatially and temporally—at regional, subregional, and local levels, including interannual variations and those within the growing season. A novel monitoring approach is introduced, allowing for the differentiation between climatic and anthropogenic influences on dryland dynamics. This research enhances the understanding of ecosystem dynamics in internal Eurasia and lays the groundwork for predicting changes in vegetation productivity due to climate and human activities. Overall, the findings provide essential information for ecological and socio-economic research, benefiting scientists, landscape managers, and decision-makers in the region.

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• Année de publication: 2007