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Mitigation strategy on reduction greenhouse gas (GHG) emission of landuse sector for the province of Papua
Author(s) -
Elvis Franklin Suebu,
Joni Hermana,
Rachmat Boedisantoso
Publication year - 2017
Publication title -
sustinere journal of environment and sustainability
Language(s) - English
Resource type - Journals
eISSN - 2549-1253
pISSN - 2549-1245
DOI - 10.22515/sustinere.jes.v1i2.17
Subject(s) - greenhouse gas , deforestation (computer science) , climate change mitigation , environmental science , ton , land use, land use change and forestry , climate change , land use , forestry , environmental protection , geography , engineering , ecology , civil engineering , archaeology , computer science , biology , programming language
Studying the right strategy in the implementation of the mitigation of GHG emission reduction in an effort to control climate change caused by deforestation and forest degradation (REDD +) in Papua Province is an important step that must be done. Emission levels in Papua Province in 2010 was dominated by forestry sub-sector and other land use in the amount of 639,818,463 Ton CO2eq or approximately 99.8% of total GHG emissions of 640,737,952.64 Ton CO2eq. To analyze the implementation strategy of mitigation (REDD +) then the calculation of the level of carbon emission must be done first. The calculation of carbon emissions for this sub-sector is done with reference to the method that has been developed by the IPCC GL-2006. Meanwhile, to sub-sectors of forestry and other land use the calculation use the historical and forward-looking approach. The level of carbon emissions from forestry sub-sector accounted for 921,779,031.23 Ton CO2eq (historical method) and 1,052,683,205.46 Ton CO2eq (forward-looking method) mitigation program at the end of 2020. Strategy of mitigation action program is for carbon uptake and carbon storage stabilization. The mitigation scenario for forestry sub-sector capable of reducing emissions by 552,303,873 Ton CO2eq or by 52.47% of the total cumulative emissions at the end of 2020 (forward-looking method).

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