
Groundwater–photosynthesis study published in CEE
Causality-guided explainable machine learning reveals the role of groundwater in spatial patterns of photosynthesis.
Groundwater–photosynthesis study published in CEE
Causality-guided explainable machine learning reveals the role of groundwater in spatial patterns of photosynthesis.
Causality-guided explainable machine learning reveals the role of groundwater in spatial patterns of photosynthesis.
Our study of groundwater and photosynthesis in the contiguous United States was published online in Communications Earth & Environment on 26 September 2026. Jiangong Liu is a co-corresponding author.
Using causality-guided explainable machine learning, we investigated how groundwater regulates spatial patterns of photosynthesis. Water-table depth plays a critical role in the functioning of forests and arid ecosystems.



