环境科学
碳汇
全球变暖
温室气体
生物量(生态学)
二氧化碳
碳循环
减缓气候变化
森林经营
碳纤维
气候变化
环境保护
农林复合经营
生态学
生态系统
生物
复合数
复合材料
材料科学
作者
Caspar Roebroek,Grégory Duveiller,Sonia I. Seneviratne,Édouard L. Davin,Alessandro Cescatti
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2023-05-18
卷期号:380 (6646): 749-753
被引量:61
标识
DOI:10.1126/science.add5878
摘要
Carbon storage in forests is a cornerstone of policy-making to prevent global warming from exceeding 1.5°C. However, the global impact of management (for example, harvesting) on the carbon budget of forests remains poorly quantified. We integrated global maps of forest biomass and management with machine learning to show that by removing human intervention, under current climatic conditions and carbon dioxide (CO2) concentration, existing global forests could increase their aboveground biomass by up to 44.1 (error range: 21.0 to 63.0) petagrams of carbon. This is an increase of 15 to 16% over current levels, equating to about 4 years of current anthropogenic CO2 emissions. Therefore, without strong reductions in emissions, this strategy holds low mitigation potential, and the forest sink should be preserved to offset residual carbon emissions rather than to compensate for present emissions levels.
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