Prediction model for sap flow in cacao trees under different radiation intensities in the western Colombian Amazon

Summary

This study developed a mixed linear model to predict sap flow in cacao trees grown under three agroforestry systems in the Colombian Amazon, each receiving different solar radiation intensities. By characterising microclimatic variables including humidity, temperature, PAR and vapour pressure deficit, the model successfully predicted transpiration patterns and water use differences between systems, including nocturnal transpiration in high-radiation plots and hydraulic redistribution in shaded systems. The authors propose this as a cost-effective tool for managing water use and transpiration in cacao agroforestry systems in tropical rainforest contexts.

Regional applicability

This study was conducted in the Colombian Amazon rather than the United Kingdom, and findings apply specifically to tropical agroforestry systems under rainforest conditions. The modelling approach and physiological principles may be transferable to UK agroforestry research, though the microclimatic drivers and cacao cultivation context differ fundamentally from temperate systems.

Key measures

Diurnal sap flow patterns (Vs), air relative humidity, air temperature, photosynthetically active radiation (PAR), vapour pressure deficit (VPD), mean diurnal incident radiation (HPAR)

Outcomes reported

The study developed a mixed linear model to predict diurnal sap flow patterns in cacao trees across three agroforestry systems differing in solar radiation exposure. The model characterised relationships between sap flow and microclimatic variables (humidity, temperature, photosynthetically active radiation, vapour pressure deficit) and successfully predicted transpiration patterns including nocturnal transpiration and hydraulic redistribution.

Topic tags