dc.description.abstract |
This study discusses carbon sequestration variability in different ecosystems of India. Four different biosphere
regions, each over 0.5◦ × 0.5◦ area, have been selected considering the geospatial and climatic variability of
these regions expanding from Central India (CI), the Northeast region (NER), the Western Ghats (WG), and the
Western Himalayan region (WHNI). The climatic conditions of these four regions are different so are the
biosphere constituents of these regions. We expect the Gross Primary Productivity (GPP) to enhance during the
all India summer monsoon rainfall season but in varied magnitudes suggesting a role of climatic parameters and
flora in these regions. The GPP from FLUXCOM for the duration of 2001 to 2019 (19 years) and satellite-derived
vegetation indices like the Normalized Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Leaf Area
Index (LAI) are used in this study to understand the response of regional vegetation to this variability. EVI seems
to be better related to GPP in comparison to NDVI in the preliminary analysis. Further analysis suggests LAI
correlates better to GPP than EVI and NDVI in different seasons in these four regions. Also, meteorological pa rameters like surface temperature, rainfall, soil water, and other derived parameters like Vapor Pressure Deficit (VPD) are studied. It is also observed that the year-to-year variability in the climatic conditions could also have a
role to play in the observed features. It is proven that the climate around the world is experiencing changes.
Vegetation is one of the potent markers to monitor the impact of climate change. These long-term data and trends
were studied to understand if there is any significant impact of the changing climatic conditions on the vege tation in these regions. Our study shows that there is an increasing (positive) trend in GPP at these locations
though at different rates. WG and WHNI have shown a significant high rate of increase (6.44 and 5.36 gCm− 2
y− 1
, respectively) in GPP over the last two decades. |
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