Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems

Vegetation photosynthesis primarily depends on surface energy and water availability, both of which are simultaneously regulated by clouds through radiation and precipitation, respectively. However, the net impact of cloud-induced changes in surface solar radiation and precipitation on photosynthesis remains elusive. Here, using observational- and model-based datasets spanning the past few decades, we show that, consistently across scales from site-level eddy covariance measurements to global-scale gridded datasets, the sensitivity of photosynthesis to cloud cover is spatially shaped by the hydroclimate, as quantified by the humidity index (mean annual precipitation-to-evapotranspiration ratio). Specifically, we find that in water-limited arid regions, clouds promote photosynthesis through increased precipitation, with a delayed effect typically within one month, whereas in energy-limited humid regions, they inhibit photosynthesis almost instantaneously by blocking sunlight. An annual scale spatially resolved sensitivity metric of photosynthesis to cloud cover is further examined to estimate potential changes in vegetation productivity driven by clouds. The findings indicate that, under a warming climate, particularly in the Coupled Model Intercomparison Project Phase 6 "ssp585" scenario (2015-2099), gross primary productivity is projected to decline in arid regions and increase in humid regions due to changes in cloud cover, suggesting an exacerbation of regional disparities in ecosystem functions.

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Publication Details

Journal
Nature Communications
Published
2026-02-12
DOI
https://doi.org/10.1038/s41467-026-69480-3
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems

Ana Bastos, Hao Luo, Jan Kretzschmar, Johannes Quaas et al.
Nature Communications
Plant Water Relations and Carbon Dynamics
article

Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems

Ana Bastos, Hao Luo, Jan Kretzschmar, Johannes Quaas, Gregory Duveiller, Markus Reichstein
article en

Abstract

Vegetation photosynthesis primarily depends on surface energy and water availability, both of which are simultaneously regulated by clouds through radiation and precipitation, respectively. However, the net impact of cloud-induced changes in surface solar radiation and precipitation on photosynthesis remains elusive. Here, using observational- and model-based datasets spanning the past few decades, we show that, consistently across scales from site-level eddy covariance measurements to global-scale gridded datasets, the sensitivity of photosynthesis to cloud cover is spatially shaped by the hydroclimate, as quantified by the humidity index (mean annual precipitation-to-evapotranspiration ratio). Specifically, we find that in water-limited arid regions, clouds promote photosynthesis through increased precipitation, with a delayed effect typically within one month, whereas in energy-limited humid regions, they inhibit photosynthesis almost instantaneously by blocking sunlight. An annual scale spatially resolved sensitivity metric of photosynthesis to cloud cover is further examined to estimate potential changes in vegetation productivity driven by clouds. The findings indicate that, under a warming climate, particularly in the Coupled Model Intercomparison Project Phase 6 "ssp585" scenario (2015-2099), gross primary productivity is projected to decline in arid regions and increase in humid regions due to changes in cloud cover, suggesting an exacerbation of regional disparities in ecosystem functions.

Nature CommunicationsVol. 17(1)
Leipzig University of Applied Sciences (DE), German Centre for Integrative Biodiversity Research (DE), Max Planck Institute for Biogeochemistry (DE), Leipzig University (DE)
European Commission
Openalex Percentile: Top 70%
Plant Water Relations and Carbon Dynamics
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