Resumen

GARCIA HERNANDEZ, Daniel et al. Evaluation of rain partitioning in two tree species with Arduino. Rev. mex. de cienc. forestales [online]. 2024, vol.15, n.85, pp.70-96.  Epub 19-Nov-2024. ISSN 2007-1132.  https://doi.org/10.29298/rmcf.v15i85.1459.

This research focuses on the calibration of an electronic monitoring system to evaluate the distribution of precipitation in two tree species: stemflow, throughfall and soil moisture. This system, focused on the application of the Arduino platform that incorporates water collection equipment, tipping buckets and humidity sensors, offers an accurate and low-cost methodology for detailed analysis of rain partitioning. This type of analysis is a critical aspect to understand the impact of vegetation covers on hydrological cycles. The lack of accessible and efficient monitoring methods has hindered a better understanding of rainfall partitioning in forest ecosystems. Calibration of tipping buckets, used to determine rainfall partitioning, have shown exceptional performance under low rainfall conditions (R 2 =0.9556 to R 2 =0.9878), as have soil moisture sensors. The analysis of the data collected from the tipping buckets showed a high Coefficient of determination between stemflow and direct precipitation, throughfall and direct precipitation (R 2 >0.8345 and R 2 >0.7723, respectively). For the moisture sensors, R 2 >0.5377 was obtained in the data recorded in the field. The results obtained help a better analysis of the hydrological cycle between different tree species.

Palabras llave : Stemflow; throughfall; forest hydrology; soil moisture; environmental monitoring; sensors.

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