A study was conducted on mango orchards with different collar diameter in the age group 2–10 years old with the objective of finding out the best growth model for prediction of biomass and carbon stock. The biomass components of mango trees in the orchard were measured and fitted to various growth models, namely Linear, Allometric, Logistic, Gompertz, Richard’s, Negative exponential, Monomolecular, Mitcherlich and Weibull to find out the parameter estimates of the models and validated the best fitted model. Among the models, Gompertz was found best suited for prediction of biomass and carbon stock in mango orchards. The various criteria selected for best fitted model having lowest Akaike information criteria (AICc) of 90.62, lowest root mean square error (RMSE) of 1.56 kg tree⁻¹ and highest adjusted R² of 0.973. The predicted total biomass varied from 0.53 to 10.5 Mg ha⁻¹ with mean annual increment of 0.26–1.05 Mg ha⁻¹ in 2–10-year-old mango orchards. The highest predicted total biomass carbon in a 10-year-old mango orchard with an average collar diameter of 14.33 cm was 3.87 Mg ha⁻¹. The carbon mitigation potential of a 10-year-old mango orchard was highest with 3.0 Mg ha⁻¹ with a corresponding carbon dioxide mitigation of 11.04 Mg ha⁻¹ in hot and sub-humid climate.

对年龄在2-10岁的不同果领直径的芒果园进行了一项研究，目的是找出预测生物量和碳储量的最佳生长模型。对果园中芒果树的生物量成分进行了测量，并将其拟合到各种生长模型，包括线性，异速生长，逻辑学，Gompertz，Richard's，负指数，单分子，Mitcherlich和Weibull，以找出模型的参数估计值并验证最佳方法拟合模型。在这些模型中，发现Gompertz最适合预测芒果园中的生物量和碳储量。为最佳拟合模型选择的各种标准，其最低Akaike信息标准（AICc）为90.62，最低均方根误差（RMSE）为1.56 kg树^-1调整后的最高R ²为0.973。在2至10岁的芒果园中，预测的总生物量在0.53至10.5 Mg ha ^-1之间，年平均增长0.26–1.05 Mg ha ^-1。在具有10年历史的平均果岭直径为14.33 cm的芒果园中，最高的预测总生物量碳为3.87 Mg ha ^-1。在高温和半湿润气候下，具有10年历史的芒果园的减碳潜力最高，为3.0 Mg ha ^-1，相应的二氧化碳减缓值为11.04 Mg ha ^-1。