Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Science Systems and Applications, Inc., NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Nature. 2023 Mar;615(7950):80-86. doi: 10.1038/s41586-022-05653-6. Epub 2023 Mar 1.
The distribution of dryland trees and their density, cover, size, mass and carbon content are not well known at sub-continental to continental scales. This information is important for ecological protection, carbon accounting, climate mitigation and restoration efforts of dryland ecosystems. We assessed more than 9.9 billion trees derived from more than 300,000 satellite images, covering semi-arid sub-Saharan Africa north of the Equator. We attributed wood, foliage and root carbon to every tree in the 0-1,000 mm year rainfall zone by coupling field data, machine learning, satellite data and high-performance computing. Average carbon stocks of individual trees ranged from 0.54 Mg C ha and 63 kg C tree in the arid zone to 3.7 Mg C ha and 98 kg tree in the sub-humid zone. Overall, we estimated the total carbon for our study area to be 0.84 (±19.8%) Pg C. Comparisons with 14 previous TRENDY numerical simulation studies for our area found that the density and carbon stocks of scattered trees have been underestimated by three models and overestimated by 11 models, respectively. This benchmarking can help understand the carbon cycle and address concerns about land degradation. We make available a linked database of wood mass, foliage mass, root mass and carbon stock of each tree for scientists, policymakers, dryland-restoration practitioners and farmers, who can use it to estimate farmland tree carbon stocks from tablets or laptops.
在次大陆到大陆尺度上,旱地树木的分布及其密度、盖度、大小、质量和碳含量都知之甚少。这些信息对于生态保护、碳核算、气候缓解以及旱地生态系统的恢复工作都很重要。我们评估了来自 30 多万张卫星图像的超过 99 亿棵树,这些图像覆盖了赤道以北的撒哈拉以南非洲半干旱地区。我们通过结合实地数据、机器学习、卫星数据和高性能计算,将木质部、叶片和根部的碳分配到 0-1000 毫米年降雨量带的每一棵树上。个体树木的平均碳储量范围从干旱区的 0.54 兆克碳/公顷和 63 公斤碳/树到亚湿润区的 3.7 兆克碳/公顷和 98 公斤碳/树。总的来说,我们估计研究区域的总碳储量为 0.84(±19.8%)PgC。与我们区域的 14 项以前的 TRENDY 数值模拟研究进行比较,发现有 3 个模型低估了散生树木的密度和碳储量,而 11 个模型则高估了散生树木的密度和碳储量。这种基准测试可以帮助理解碳循环,并解决对土地退化的担忧。我们提供了一个链接的数据库,其中包含每棵树的木质部质量、叶片质量、根质量和碳储量,供科学家、政策制定者、旱地恢复实践者和农民使用,他们可以使用平板电脑或笔记本电脑来估算农田树木的碳储量。