Characterizing Vegetation Response to Climatic Variations in Hovsgol, Mongolia Using Remotely Sensed Time Series Data

Thuan Chu, Xulin Guo

Abstract


One of the challenges faced by forest managers is the inability to quickly interpret forest ecosystem attributes and vegetation responses to climate change. This research aims to address this challenge by characterizing the phenological metrics and evaluating the temporal and spatial dynamics of vegetation over 12 years (2000-2011) under climate change effects in Hovsgol, Mongolia. Time series Normalized Difference Vegetation Index (NDVI) was used as an indicator to monitor vegetation response in the area. The effects of climatic variations on vegetation growth were considered through the relationship between climatic variables and NDVI. Results indicate that the growing season commonly starts in late April and ends in late October with full growth by July, and as a consequence of climate change in the area, the growing season in recent years seems to be beginning earlier. Plant stress caused by higher temperature was the most significant contributor to earlier vegetation green up since NDVI, length, and starting point of the growing season strongly depend on air temperature. Analysis of spatio-temporal heterogeneity indicates some areas with highly dynamic NDVI, particularly in the western part of the Hovsgol Lake, the high mountainous areas, and the Darhad valley. Our results suggest that temperature variations mainly determine the pattern of vegetation responses in the Hovsgol area.

Full Text: PDF DOI: 10.5539/esr.v1n2p279

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Earth Science Research   ISSN 1927-0542 (Print)   ISSN 1927-0550 (Online)
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