Liu Jiangong, Wang Qiren, Zhan Weiwei, Lian Xu, Gentine Pierre
Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA.
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA.
Nat Plants. 2025 Jul 7. doi: 10.1038/s41477-025-02024-7.
Projected increases in the intensity and frequency of droughts in the twenty-first century are expected to cause a substantial negative impact on terrestrial gross primary productivity (GPP). Yet, the relative role of soil water supply (indicated by soil moisture) and atmospheric water demand (indicated by vapour pressure deficit, VPD) on GPP remains debated, primarily due to their strong covariations, the presence of confounding factors and unresolved causal relationships among the interconnected hydrometeorological drivers of GPP. Here using a causality-guided explainable artificial intelligence framework, we show that soil moisture is the dominant regulator of water stress, surpassing the role of VPD, when and where soil water supply limits ecosystem functions. Temporally, we use in situ flux tower data to demonstrate that soil moisture dominates the GPP response during periods of insufficient soil water supply. Spatially, we assess the global spatial patterns of satellite sun-induced chlorophyll fluorescence (a proxy for GPP) in water-limited regions and demonstrate that they are mostly dominated by soil moisture. Conversely, VPD plays a greater role in controlling the temporal and spatial variations in GPP than soil moisture when and where soil water supply is not limited. The relative role of soil moisture and VPD is modulated by plant adaptation to long-term climatological aridity. Our findings advance the understanding of the impacts of soil and atmospheric dryness on ecosystem photosynthesis. They provide crucial insights into how terrestrial ecosystems respond to increasing aridity and more frequent droughts, particularly given the potential ecosystem shifts from energy to water limitation.
预计21世纪干旱强度和频率的增加将对陆地总初级生产力(GPP)造成重大负面影响。然而,土壤水分供应(以土壤湿度表示)和大气水分需求(以水汽压亏缺,VPD表示)对GPP的相对作用仍存在争议,主要是由于它们的强共变关系、混杂因素的存在以及GPP相互关联的水文气象驱动因素之间未解决的因果关系。在这里,我们使用因果关系引导的可解释人工智能框架表明,当土壤水分供应限制生态系统功能时,土壤湿度是水分胁迫的主要调节因子,其作用超过了VPD。在时间上,我们使用原位通量塔数据表明,在土壤水分供应不足的时期,土壤湿度主导了GPP响应。在空间上,我们评估了水分受限地区卫星太阳诱导叶绿素荧光(GPP的一个替代指标)的全球空间格局,并证明它们大多由土壤湿度主导。相反,当土壤水分供应不受限时,VPD在控制GPP的时空变化方面比土壤湿度发挥更大的作用。土壤湿度和VPD的相对作用受植物对长期气候干旱的适应性调节。我们的研究结果推进了对土壤和大气干旱对生态系统光合作用影响的理解。它们为陆地生态系统如何应对日益增加的干旱和更频繁的干旱提供了关键见解,特别是考虑到潜在的生态系统从能量限制向水分限制的转变。