| Abstrak/Abstract |
The global savanna ecosystem's sustainability is currently under threat by the climate and anthropological change. Despite the immense threats, the savanna ecosystem existence is undervalued and understudied. This study examined the dynamics of the savanna ecosystem in the South part of Southeast Asia (SEA) by using MODIS Leaf Area Index data (LAI) (MOD15A3H) with 500 m spatial resolution and 4-days data, from 2002 to 2020. The annual phenological metrics comprised of the Start of Season (SOS), End of Season (EOS), Length of Season (LOS), rate of greening, rate of browning, and the maximum peak values were derived from the daily-interpolated data using the Spline function. Additional oscillation and trend analysis using Empirical Ensemble Decomposition Methods (EEMD) was conducted to derive the nonlinear trend dynamics of the savanna ecosystem in ENT. Our results displayed that the SOS at Savanna ecosystem in SEA is 253.76 ± 2.1 days, and EOS of 161.12 ± 4.0 days while the average LOS is 170.68 ± 6.5 days. The rainfall variabilities can explain around 35 % of the variability in the LAI of the savanna ecosystem. Our EEMD analysis captured the decreasing trend of LAI with
the decrease of the net of change in 2002 to 2015 from 1.08 LAI unit (factor of 100) into -0.17 LAI unit (factor of 100) from 2015 onwards |
