非洲干旱地区单个树木的次大陆规模碳库存
Compton Tucker1, Martin Brandt2,3, Pierre Hiernaux4,5
1Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD, USA. compton.j.tucker@nasa.gov.
Nature
|March 1, 2023
概括
这项研究使用卫星数据和机器学习量化了撒哈拉以南非洲的旱地树木碳库存. 调查结果显示,一些模型严重低估了碳排放量,
科学领域:
- 生态学
- 环境科学
- 遥感技术
背景情况:
- 干旱地区的树木分布,密度和碳含量在大规模上尚不清楚.
- 准确的数据对于生态保护,碳核算,减缓气候变化和恢复干旱地区生态系统至关重要.
研究的目的:
- 评估撒哈拉以南半干旱地区超过99亿棵树的分布,密度和碳含量.
- 为碳核算和恢复计划提供一个全面的数据库.
主要方法:
- 结合现场数据,机器学习,卫星图像和高性能计算.
- 分析超过30万张卫星图像进行树木评估.
- 将树木,树叶和根的碳归因于单个树木.
主要成果:
- 在研究区域估计的总碳库存为0.84碳 (Pg C).
- 平均碳储量从0.54Mg C ha-1 (干旱) 到3.7Mg C ha-1 (低湿) 不同.
- 与TRENDY模型的比较显示了各种模拟的低估/高估密度和碳库存.
结论:
- 这项研究为干旱地区的树木碳库存提供了可靠的数据集,比以前的估计更准确.
- 与模拟模型进行比较可以突出差异,并有助于改进碳循环的理解.
- 公共数据库使科学家,政策制定者和实践者能够在土地管理和恢复方面做出明智的决策.
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