Forest canopy, air temperatures and air humidity (T can T₂₀₍, T air T₀₈ₑ, and q air q₀₈ₑ) play a central rol in regulating energy and gas exchange between vegetation and the atmosphere. Although often treated as independent drivers of canopy processes, T air T₀₈ₑ and q air q₀₈ₑ are dynamically coupled to T can T₂₀₍ via surface energy fluxes and atmospheric boundary layer (ABL) development. We investigated how plant physiology mediates this coupling. Using data from a tropical ecosystem, we studied a process-based forest model dynamically coupled with an ABL growth model to simulate diurnal interactions between the canopy and the atmosphere. We systematically varied plant traits related to water use and thermal regulation to assess their effects on T can ~ T air T₂₀₍ T₀₈ₑ coupling and feedback. We focused on three metrics: the slope of the T can ~ T air T₂₀₍ T₀₈ₑ relationship, the peak of T can T₂₀₍ reached during the day and the lag between the maximum T air T₀₈ₑ and T can T₂₀₍, indicating hysteresis. Conservative water use, by reducing transpiration, leads to greater canopy warming, which intensifies sensible heat flux and accelerates ABL growth. This, in turn, raises near-surface air temperature and vapor pressure deficit (VPD), amplifying thermal and water stress. In contrast, greater water use enhances evaporative cooling and slows ABL development, thereby moderating these feedback. Surprisingly, the slope of the T can ~ T air T₂₀₍ T₀₈ₑ relationship is quite insensitive to plant water-use syndromes. This insight extends beyond modeling. Empirical studies often treat T air T₀₈ₑ and VPD as independent drivers of transpiration, photosynthesis, or stomatal conductance. Our results challenge this assumption, showing that these variables are influenced by plant function itself. T can T₂₀₍ is not a passive outcome but an active mediator of energy, water, and carbon exchange, regulated by a feedback loop involving leaf physiology and atmospheric dynamics. Studies using T can T₂₀₍ or the T can ~ T air T₂₀₍ T₀₈ₑ relationship-whether from remote sensing or field data-as a proxy for forest stress or function, must account for this coupling.
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Matteo Detto
Christopher J. Still
Amilcare Porporato
Global Change Biology
Princeton University
Oregon State University
Smithsonian Tropical Research Institute
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Detto et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69d8962d6c1944d70ce077da — DOI: https://doi.org/10.1111/gcb.70841