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1.3 Results 1.3.1 Annual GHG Emissions

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Figure 1.1 shows the annual GHG emissions in East Kalimantan between 2000 and 2016. The figure shows that a growing increase in GHG emissions occurred every year. Moreover, during the study period, the increase reached 31 Mt CO2 with an increment rate of 2.1 Mt CO2 yr–1. Although the annual GHG emissions showed an increasing trend every year, the increment rate before REDD+ commitment (2000–2010) was larger (2.3 Mt CO2 yr–1) than the increment rate after the commitment (1.5 Mt CO2yr–1). So this result was able to illustrate the implication of the REDD+ strategies in East Kalimantan in reducing GHG emissions.

Figure 1.2 shows size of the contribution of land cover change to GHG emission in the study area. According to the figure, deforestation (i.e. the changes of forest cover to non‐forest cover) and forest degradation (the changes of dense forest to less dense forest) gave a significant contribution to GHG emission in East Kalimantan. The deforestation caused the annual GHG emission increase of 25 Mt CO2 by 2016 with an increment rate of 1.7 Mt CO2yr–1 and it contributed about 80% of GHG emission in the study area, respectively. Forest degradation affected the annual GHG emission increase of 6 Mt CO2 from 2000 to 2016, with an increment rate of 0.3 Mt CO2yr–1 and it contributed about 20% of GHG emission. Moreover, the changes within non‐forest cover only contributed to the annual GHG emission increase of 0.7 Mt CO2 from 2000 to 2016, with an increment rate of 0.05 Mt CO2yr–1.

Table 1.2 shows the 10 largest emitters of GHG of land cover change over the 17 years. As shown in Table 1.2, most of the top 10 largest emitters were classified as the deforestation process. The changes of secondary dryland forest to dry shrubland, estate cropland, and plantation forest were the three largest GHG emitters in East Kalimantan (Table 1.2), represented by 48.63%, 12.68%, and 10.04% of the total GHG emissions from 2000 to 2016, respectively. Furthermore, the conversion of secondary mangrove forest into wet shrubland and fish pond/aquaculture contributed 2.48% and 1.85% of total GHG emissions, respectively. Meanwhile, the change of secondary swamp forest into wet shrubland caused 1.66% of total GHG emissions. Moreover, the largest forest degradation occurred in the study area, and was represented by the degradation of primary dryland forest into secondary dryland forest, which contributed 5.43% of total GHG emissions, respectively.


Figure 1.1 Annual GHG emissions (Mt CO2 yr–1) from 2000 to 2016.


Figure 1.2 Percentage of GHG emissions from the land‐based sector (2000–2016).

Table 1.2 Ten largest GHG emitters from land‐based sector from 2000 to 2016.

Land cover changes Total area (ha) Percentage of emission (%)
From To
Secondary dryland forest Dry Shrub land 471,625.19 48.63
Secondary dryland forest Estate Cropland 178,297.07 12.68
Secondary dryland forest Plantation forest 142,460.67 10.04
Primary dryland forest Secondary dryland forest 317,020.70 5.43
Secondary dryland forest Bare ground 46,444.85 5.25
Secondary dryland forest Mixed dry agriculture 31,092.77 3.31
Secondary dryland forest Mining areas 28,919.68 3.27
Secondary mangrove forest Wet shrubland 35,461.77 2.48
Secondary mangrove forest Fish pond/aquaculture 23,129.13 1.85
Secondary swamp forest Wet shrubland 17,834.51 1.66

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