Vapor pressure deficit dominates the spatiotemporal variations in ecosystem photosynthetic quantum yield
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The quantum yield ( α ) of photosynthesis represents the maximum efficiency of light use as indicated by the initial slope of photosynthetic light response curves. Understanding α is crucial for accurate modeling of photosynthesis and terrestrial carbon cycle. Despite its importance, the spatial and temporal variations in α at large scales remain largely elusive.
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We leveraged long-term eddy-covariance observations from 90 sites globally and examined the spatiotemporal variations in α due to climatic drivers, using statistical and machine learning approaches.
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We found significant spatial variability in α across and within biomes, primarily driven by atmospheric vapor pressure deficit and soil moisture variations. Meanwhile, the temporal changes in α are mainly driven by the negative effect of vapor pressure deficit, which weakens the positive effects of elevated CO 2 and leaf area index.
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Our results highlight the dominant role of vapor pressure deficit in controlling the spatiotemporal variations of α as well as the unneglectable impacts of soil water content, CO 2 , and leaf area on α . Those new results provide insights for improving the representation of α in ecosystem photosynthesis models.