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中国乔木林植被碳汇模拟与林业生物质能源碳减排。

Simulation of Vegetation Carbon Sink of Arbor Forest and Carbon Mitigation of Forestry Bioenergy in China.

机构信息

College of Geography and Environmental Science, Henan University, Kaifeng 475004, China.

Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China.

出版信息

Int J Environ Res Public Health. 2022 Oct 19;19(20):13507. doi: 10.3390/ijerph192013507.

DOI:10.3390/ijerph192013507
PMID:36294087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9603204/
Abstract

Mitigating carbon emissions through forest carbon sinks is one of the nature-based solutions to global warming. Forest ecosystems play a role as a carbon sink and an important source of bioenergy. China's forest ecosystems have significantly contributed to mitigating carbon emissions. However, there are relatively limited quantitative studies on the carbon mitigation effects of forestry bioenergy in China, so this paper simulated the carbon sequestration of Chinese arbor forest vegetation from 2018 to 2060 based on the CO2FIX model and accounted for the carbon emission reduction brought about by substituting forestry bioenergy for fossil energy, which is important for the formulation of policies to tackle climate change in the Chinese forestry sector. The simulation results showed that the carbon storage of all arbor forest vegetation in China increased year by year from 2018 to 2060, and, overall, it behaved as a carbon sink, with the annual carbon sink fluctuating in the region of 250 MtC/a. For commercial forests that already existed in 2018, the emission reduction effected by substituting forestry bioenergy for fossil energy was significant. The average annual carbon reduction in terms of bioenergy by using traditional and improved stoves reached 36.1 and 69.3 MtC/a, respectively. Overall, for China's existing arbor forests, especially commercial forests, forestry bioenergy should be utilized more efficiently to further exploit its emission reduction potential. For future newly planted forests in China, new afforestation should focus on ecological public welfare forests, which are more beneficial as carbon sinks.

摘要

通过森林碳汇来减少碳排放是应对全球变暖的自然解决方案之一。森林生态系统既是碳汇,也是生物能源的重要来源。中国的森林生态系统在减少碳排放方面发挥了重要作用。然而,关于中国林业生物能源的碳减排效应的定量研究相对较少,因此,本文基于 CO2FIX 模型模拟了中国乔木林植被从 2018 年到 2060 年的碳固存,并考虑了用林业生物能源替代化石能源所带来的减排量,这对于制定中国林业应对气候变化的政策具有重要意义。模拟结果表明,2018 年至 2060 年,中国所有乔木林植被的碳储量逐年增加,总体上表现为碳汇,年碳汇波动在 250 MtC/a 左右。对于 2018 年已经存在的商业林,用林业生物能源替代化石能源所产生的减排效果显著。使用传统和改良炉灶的生物能源的平均年碳减排量分别达到 36.1 和 69.3 MtC/a。总体而言,对于中国现有的乔木林,特别是商业林,应更有效地利用林业生物能源,以进一步挖掘其减排潜力。对于中国未来新种植的森林,新造林应侧重于生态公益林,作为碳汇更有利。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/036bf1128c1e/ijerph-19-13507-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/ba4d7f51d898/ijerph-19-13507-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/557e0fb07c2f/ijerph-19-13507-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/a376b47eae42/ijerph-19-13507-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/f32640da6814/ijerph-19-13507-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/9cac7193cba4/ijerph-19-13507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/036bf1128c1e/ijerph-19-13507-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/ba4d7f51d898/ijerph-19-13507-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/557e0fb07c2f/ijerph-19-13507-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/a376b47eae42/ijerph-19-13507-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/f32640da6814/ijerph-19-13507-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/9cac7193cba4/ijerph-19-13507-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c1b/9603204/036bf1128c1e/ijerph-19-13507-g006.jpg

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本文引用的文献

1
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Glob Environ Change. 2022 Aug;76:1-13. doi: 10.1016/j.gloenvcha.2022.102582.
2
Future biomass carbon sequestration capacity of Chinese forests.中国森林未来的生物质碳固存能力。
Sci Bull (Beijing). 2018 Sep 15;63(17):1108-1117. doi: 10.1016/j.scib.2018.07.015. Epub 2018 Jul 24.
3
Exploration of China's net CO emissions evolutionary pathways by 2060 in the context of carbon neutrality.
中国海洋渔业碳排放双重性及其与经济发展协调性研究。
Int J Environ Res Public Health. 2023 Jan 12;20(2):1423. doi: 10.3390/ijerph20021423.
探索中国在碳中和背景下 2060 年的净 CO 排放演化路径。
Sci Total Environ. 2022 Jul 20;831:154909. doi: 10.1016/j.scitotenv.2022.154909. Epub 2022 Mar 29.
4
An integrated remote sensing and model approach for assessing forest carbon fluxes in China.采用综合遥感和模型方法评估中国的森林碳通量。
Sci Total Environ. 2022 Mar 10;811:152480. doi: 10.1016/j.scitotenv.2021.152480. Epub 2021 Dec 16.
5
Estimation of the relative contributions of forest areal expansion and growth to China's forest stand biomass carbon sequestration from 1977 to 2018.估算 1977 年至 2018 年期间中国森林面积扩张和生长对森林蓄积碳固存的相对贡献。
J Environ Manage. 2021 Dec 15;300:113757. doi: 10.1016/j.jenvman.2021.113757. Epub 2021 Sep 16.
6
Bioenergy in China: Evaluation of domestic biomass resources and the associated greenhouse gas mitigation potentials.中国的生物能源:国内生物质资源评估及相关温室气体减排潜力
Renew Sustain Energy Rev. 2020 Jul;127:109842. doi: 10.1016/j.rser.2020.109842. Epub 2020 Apr 8.
7
Assessing the long-term effectiveness of Nature-Based Solutions under different climate change scenarios.评估不同气候变化情景下基于自然的解决方案的长期有效性。
Sci Total Environ. 2021 Nov 10;794:148515. doi: 10.1016/j.scitotenv.2021.148515. Epub 2021 Jun 18.
8
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J Environ Manage. 2020 Jun 1;263:110292. doi: 10.1016/j.jenvman.2020.110292. Epub 2020 Mar 26.
9
Potential complementarity between forest carbon sequestration incentives and biomass energy expansion.森林碳固存激励措施与生物质能扩张之间的潜在互补性。
Energy Policy. 2019;126:391-401. doi: 10.1016/j.enpol.2018.10.009.
10
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Environ Int. 2020 May;138:105608. doi: 10.1016/j.envint.2020.105608. Epub 2020 Mar 7.