Canopy wetness in the Eastern Amazon

Canopy wetness is a common condition that influences photosynthesis, the leaching or uptake of solutes, water status and energy balance canopies, interpretation eddy covariance remote sensing data. While often treated as binary variable, ‘wet’ ‘dry’, forest canopies are partially wet, requiring use continuous description wetness. Minor precipitation events such dew, wet fraction canopy, have been found to contribute dry season foliar in Eastern Amazon, fundamentally important canopy balance. However, few studies reported spatial temporal distribution wetness, relative contribution dew leaf for ecosystems. In this study, we two profiles sensors, coupled with meteorological data, address fundamental questions about variation an Amazonian rainforest. We also investigate how well tower data can predict using models, one empirical physically-based. The results show 100% only 34% time, otherwise being between 5% wet. Dew accounts 20% 43% total annual 36% 50% season, excluding including co-occur rain, respectively. Wetness duration was higher at top than bottom mainly because rain events, whilst formation strongly dependent on local structure varied horizontally through canopy. best model accounted 55% variance while physical 48% variance. discuss future modelling improvements increase its predictive capacity.