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 (CO 2 ) 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 CO 2 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.

中文翻译：

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从人类管理中释放全球森林：可以储存多少碳？

森林中的碳储存是防止全球变暖超过 1.5°C 的政策制定的基石。然而，管理（例如采伐）对森林碳收支的全球影响仍未得到充分量化。我们将全球森林生物量和管理地图与机器学习相结合，以表明在当前气候条件和二氧化碳（CO2个) 浓度，现有的全球森林可以将其地上生物量增加多达 44.1（误差范围：21.0 至 63.0）拍克碳。这比目前的水平增加了 15% 到 16%，相当于大约 4 年的当前人为二氧化碳2个排放量。因此，如果不大幅减少排放，该策略的缓解潜力很低，应保护森林汇以抵消残余碳排放，而不是补偿目前的排放水平。