Conservation International, Arlington, VA, USA.
Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA.
Nat Commun. 2022 Jul 28;13(1):4206. doi: 10.1038/s41467-022-31380-7.
Restoring forest cover is a key action for mitigating climate change. Although monoculture plantations dominate existing commitments to restore forest cover, we lack a synthetic view of how carbon accumulates in these systems. Here, we assemble a global database of 4756 field-plot measurements from monoculture plantations across all forested continents. With these data, we model carbon accumulation in aboveground live tree biomass and examine the biological, environmental, and human drivers that influence this growth. Our results identify four-fold variation in carbon accumulation rates across tree genera, plant functional types, and biomes, as well as the key mediators (e.g., genus of tree, endemism of species, prior land use) of variation in these rates. Our nonlinear growth models advance our understanding of carbon accumulation in forests relative to mean annual rates, particularly during the next few decades that are critical for mitigating climate change.
恢复森林覆盖是缓解气候变化的关键行动。尽管单一树种人工林在现有的恢复森林覆盖承诺中占主导地位,但我们缺乏对这些系统中碳积累方式的综合认识。在这里,我们汇集了来自所有森林大陆的 4756 个单一树种人工林实地观测数据,构建了一个全球数据库。利用这些数据,我们模拟了地上活体树木生物质中的碳积累,并研究了影响这种生长的生物、环境和人为驱动因素。我们的研究结果表明,在树种、植物功能类型和生物群落之间,碳积累率存在四倍的差异,以及这些差异的关键调节因素(如树种属、物种特有性、先前的土地利用方式)。我们的非线性生长模型推进了我们对森林相对于年平均速率的碳积累的理解,特别是在未来几十年,这对于缓解气候变化至关重要。