AGB production and ANPP increased across the Chronosequence Aboveground biomass was estimated by applying the random Forest algorithm Aboveground biomass was estimated for medium-stature semi-evergreen and semi-deciduous tropical forests In both, the 30-years old stand and the NMF, a high AGB corresponded with high ANPP, showing 87 % similarity La biomasa aérea se estimó en selvas medianas subperennifolia y subcaducifolia La biomasa aérea se estimó mediante la aplicación del algoritmo random Forest La sinergia de datos diversos y algoritmos automatizados facilitaron el mapeo de la biomasa La variación espacial de precipitación y temperatura son relevantes para la estimación y el mapeo Los valores más bajos de incertidumbre se registraron en la selva mediana subperennifolia Pinus patula Spatial variation of precipitation and temperature are relevant for estimation and mapping Stems are the structural component with the highest AGB allocation Synergy of diverse data and automated algorithms provided biomass mapping The 30-years old stand produced 79 % of the AGB observed in the NMF The lowest uncertainty values were recorded for the semi-evergreen tropical forest aboveground net primary productivity asignación de biomasa biomass allocation bosque tropical ecosystem services estructura del árbol imágenes satelitales incertidumbre productividad primaria neta aérea random Forest satellite images servicios ecosistémicos tree structure tropical forest uncertainty