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统一的全球土壤碳和呼吸数据集与衍生的周转时间和温度灵敏度
Shoji Hashimoto1,2, Akihiko Ito3, Kazuya Nishina4
1Department of Forest Soils, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan. hashimoto_shoji710@ffpri.go.jp.
Scientific data
|December 11, 2025
概括
这项研究协调了全球土壤碳数据,创建了呼吸和库存的基准地图. 这些地图通过减少陆地碳反预测中的不确定性来改善气候模型.
科学领域:
- 地球系统科学 地球系统科学
- 气候科学 气候科学
- 土壤科学 土壤科学
背景情况:
- 准确预测气候-地球碳反依赖于了解土壤碳库存和大气释放.
- 现有的数据驱动估计显示出显著的变化,阻碍了可靠的气候建模.
研究的目的:
- 编制和协调全球土壤碳库存和异构呼吸数据.
- 为这些变量生成标准化的全球地图,以作为基准.
- 为了获得土壤碳循环时间和温度灵敏度估计.
主要方法:
- 编制了公开可用的全球地图土壤碳库存和异质呼吸.
- 将数据标准化为0.5度分辨率,并转换为NetCDF格式.
- 每个网格单元的计算平均值,最大值和最小值,以创建协调的地图.
主要成果:
- 创建了土壤碳库存和异构呼吸的协调全球地图.
- 为土壤碳循环时间和温度灵敏度推导估计.
- 为陆地碳循环模型创建了有价值的基准.
结论:
- 统一的数据集为地球系统科学提供了关键的基准.
- 这些产品将有助于开发,评估和制约碳循环模型.
- 减少土壤碳数据的不确定性对于准确的气候变化预测至关重要.
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