The cocoa tree (Theobroma cacao L.), widely distributed in southern and central Mexico, has many economic and ecological functions. However, there is a lack of data and information regarding the aboveground biomass (AGB) of this species in Mexico, which hampers understanding of its carbon sequestration potential. The objectives of this study were (1) to develop allometric equations to estimate AGB and (2) to determine the relationships of AGB components in cacao trees. Twenty-one trees were destructively sampled and separated into components (trunk, branches, leaves) at the Chontalpa subregion of Tabasco, a large cocoa production area. Samples of biomass cocoa trees were used to determine their carbon content. A typical cacao tree in our study area is 6.64 m in height, with a diameter at breast height (dbh) of 13.29 cm and with dry aboveground biomass of 37.02 kg. We found that about 50% of the biomass of a cacao tree is concentrated in the trunk while stems of different sizes, leaves, and fruits account for the other 50%. Seven AGB models were designed using dbh, basal diameter at 30 cm (d₃₀), total height (h), canopy area (A_c), canopy height (C_h), and crown width (C_w) as biomass predictors. The dbh was the best-correlated independent variable with all AGB components. Selected models showed adequate fit and performance with high R² (ca. 95%) in estimating AGB, but the most appropriate allometric equation was Ln (TB) = − 4.20 + 1.19 * ln(dbh) + 2.34 * ln(h) because this model had higher R², lower Akaike criterion, and Mallow’s cp values. We recommend the use of this model to calculate aboveground biomass and carbon content for cacao trees in agroforestry systems similar to those of our study area.

可可树（Theobroma cacao L.）广泛分布于墨西哥南部和中部，具有多种经济和生态功能。然而，墨西哥缺乏有关该物种地上生物量（AGB）的数据和信息，这妨碍了对其碳封存潜力的了解。本研究的目标是 (1) 开发异速生长方程来估计 AGB，以及 (2) 确定可可树中 AGB 组成部分的关系。在塔巴斯科州琼塔尔帕分区（一个大型可可产区），对 21 棵树进行了破坏性取样并分离成各个部分（树干、树枝、叶子）。使用生物质可可树样品来测定其碳含量。我们研究区的典型可可树高 6.64 m，胸径 ( dbh ) 13.29 cm，地上干生物量为 37.02 kg。我们发现，可可树约50%的生物量集中在树干上，而不同大小的茎、叶子和果实则占另外50%。使用胸径、30厘米处的底径( d ₃₀ )、总高度( h )、冠层面积( Ac ₎、冠层高度( Ch ₎和冠幅( Cw ₎作为生物量预测因子设计了七个AGB模型。dbh是与所有 AGB 分量相关性最好的自变量。所选模型在估计 AGB 时表现出足够的拟合度和性能，具有高 R ² (约 95%)，但最合适的异速生长方程是 Ln (TB) = − 4.20 + 1.19 * ln( dbh ) + 2.34 * ln( h ) 因为该模型具有较高的 R ²、较低的 Akaike 准则和 Mallow 的 cp 值。我们建议使用该模型来计算与我们研究区域类似的农林系统中可可树的地上生物量和碳含量。