植被生物地理是模拟陆地碳循环的主要不确定性来源
Ruiying Zhao1, Xiangzhong Luo2,3, Anthony P Walker4
1Department of Geography, National University of Singapore, Singapore, Singapore. ruiying@nus.edu.sg.
Nature communications
|December 17, 2025
概括
土地碳循环模型中的不确定性源于植物功能类型 (PFT) 的分布. 使用遥感数据改进了PFT地图,减少了75%的模型传播,并突出了生物地理.
科学领域:
- 地球系统科学 地球系统科学
- 生态生态学 生态生态学
- 气候科学 气候科学
背景情况:
- 陆地生物圈通过光合作用和呼吸显著影响大气中的二氧化碳,影响陆地碳汇和全球变暖速度.
- 全球光合作用和呼吸估计在模型之间有很大差异,在碳循环和气候预测中产生了相当大的不确定性.
研究的目的:
- 研究植被生物地理学的影响,特别是植物功能类型 (PFT) 的分布,对土地碳循环模型的不确定性.
- 量化PFT分布变化对全球光合作用气候驱动变化的贡献.
主要方法:
- 利用一组动态全球植被模型 (DGVM) 模拟土地碳循环过程.
- 嵌入了远程传感衍生的PFT地图来限制模型模拟.
- 分析了PFT面积和总光合作用之间的关系,并量化了PFT分布变化对光合作用的影响.
主要成果:
- 确定了总光合作用对每个PFT面积的强烈依赖.
- 采用基于遥感的PFT地图,将陆地碳循环估计的传播减少了约75%.
- 在过去二十年中,PFT分布的变化占气候驱动的全球光合作用变化的56%±21%.
结论:
- 植被生物地理是土地碳循环建模中不确定性的主要驱动因素.
- 生物地理气候相互作用对于准确的碳循环和气候研究至关重要.
- 整合准确的PFT分布数据对于改善气候模型预测至关重要.
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