Greenhouse gas budget and net carbon sequestration of different afforestation types of the “Grain for Green” Project

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Authors: Tianren Yu, Fei Lu, Binbin Huang, Xiaobiao Zhang, Shishuai Yang, Bojie Liu, Xiaoke Wang, Yafei Yuan, Lu Zhang, Zhiyun Ouyang
Cited by: 1
References: 35

Abstract

To examine spatial patterns and heterogeneities in greenhouse gas (GHG) sequestration, mitigation and emission of different afforestation types (i.e., ecological, economic, timber and firewood forest) in the “Grain for Green” project (GGP), we estimated the GHG budgets of 30 typical tree species in afforested areas, established a carbon accounting and net mitigation (CANM-GGP) assessment framework, and determined the net carbon sequestration and mitigation rates of the four afforestation types in the GGP. From 2000 to 2020, total carbon sequestration and mitigation in GGP amounted to 5097 TgCO 2 , with 26.84% offset by emissions (1368 TgCO 2 -eqv). Economic forest had the greatest emissions at 1035 TgCO 2 , offsetting carbon sequestration by 281.2%. GHG emissions offset carbon sequestration and mitigation by 3.00%, 6.78%, and 11.89% in firewood, ecological, and timber forest, respectively. GGP net carbon sequestration and mitigation rate was 6.21 tCO 2 /ha/yr, highest in firewood forest (18.68 tCO 2 /ha/yr), followed by ecological forest (9.65 tCO 2 /ha/yr) and timber forest (3.52 tCO 2 /ha/yr). Economic forest showed a net GHG increase (6.67 tCO 2 /ha/yr). Overall, GGP achieved significant net carbon sequestration and mitigation benefits except economic forest. Ecological forest contributed most to net carbon sequestration due to the largest afforestation area and the second highest net carbon sequestration rate. Firewood forest had the highest net carbon sequestration and mitigation rate, and their potential mitigation benefits could be substantial. Our work provides a new approach for assessing afforestation as an important and promising nature-based climate solution and suggests multiple afforestation options for GHG mitigation.

Fields of Study & Subjects

Remote Sensing and LiDAR Applications Forest Management and Policy Forest ecology and management

Publication details

Journal / source
Ecological Frontiers
Publisher
Elsevier BV
Volume
46
Issue
5
Pages
1911–1924
Publication date
21 April 2026
Language
EN