A deep decarbonization pathway for Peru's rainforest

被引:8
作者
Ugarte, Daniel De La Torre [1 ,2 ]
Collado, Mauricio [1 ]
Requejo, Fernando [1 ]
Gomez, Ximena [1 ]
Heros, Carlos [1 ]
机构
[1] Univ Pacifico, Jiron Gen Luis Sanchez Cerro, Jesus Maria, Lima 2141, Peru
[2] Univ Tennessee, 2621 Morgan Circle, Knoxville, TN 37996 USA
关键词
Decarbonization; LULUCF; Forest; Equilibrium displacement model; BRAZILIAN AMAZON; DEFORESTATION; ADOPTION; CHOICE; WATER; SRI;
D O I
10.1016/j.esr.2021.100675
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Peru holds an important portion of the South American rainforest. An average deforestation rate of 145,000 ha a year makes it the largest source of GHG emissions. Based on the drivers of deforestation, this paper proposes a deep decarbonization pathway (DDP) through the year 2050 with the purpose of taking the country closer to achieving the net-zero emissions goal. The impacts of the pathway are estimated using POLYSYS-Peru, an equilibrium displacement model for the integrated analysis of land-use changes and agriculture. The results indicate that the proposed DDP pathway, by preventing the deforestation of 4 million hectares of primary forests, would reduce GHG emissions by an accumulated 1778 Mt CO2 eq. compared to the business as usual scenario, and 497 Mt CO2 eq. more than the Nationally Determined Contributions.
引用
收藏
页数:13
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