This study aims to develop predictive models for standing stocks of biomass and carbon of an entire tree based on harvested biomass in mango (Mangifera indica L.) alongwith intercrops n mango based land use (MBLU). Collar diameter (CD) as a growth parameter can be used as a reliable predictor for mango biomass estimation of standing stocks as it has a strong relationship with mango biomass. Thirteen popular predictive growth models were attempted for biomass prediction using CD as predictor (independent variable) in mango alone (M), intercrops alone (IC) and mango with intercrops (MI). The harvested biomass (tha⁻¹) ranged (1.4–97.7, 4.9–2.6 and 1.4–100.3) in M, IC and MI, respectively. The stored carbon, emitted carbon, mitigated carbon and total carbon stock ranged 0.70–39.7, 0.00–8.50, 0.70–31.2 and 0.70–48.20 Mgha⁻¹, respectively in M and MI of MBLU in humid climate of Indian Sub-Himalayas. Out of 13 fitted models and Negative Exponential model gave the best fit of the data based on validation criteria of adjusted R², lowest AIC and BIC values. Hence, these models were found to be highly useful for estimating mango biomass and carbon stocks with and without intercrops in standing situations.

本研究旨在开发基于芒果 ( Mangifera indica L.)收获的生物量以及间作和基于芒果的土地利用 (MBLU)的整棵树的生物量和碳的常备库存预测模型。衣领直径 (CD) 作为生长参数可用作对常备种群芒果生物量估计的可靠预测指标，因为它与芒果生物量有很强的关系。尝试了 13 种流行的预测生长模型，使用 CD 作为单独芒果 (M)、单独间作 (IC) 和芒果与间作 (MI) 的预测因子（自变量）进行生物量预测。收获的生物量（tha ^-1）分别在 M、IC 和 MI 范围内（1.4–97.7、4.9–2.6 和 1.4–100.3）。在印度亚喜马拉雅山湿润气候下，MBLU 的 M 和 MI 分别为0.70–39.7、0.00–8.50、0.70–31.2 和 0.70–48.20 Mgha ^-1的储存碳、排放碳、减排碳和总碳储量。在 13 个拟合模型和负指数模型中，基于调整后的 R ²、最低 AIC 和 BIC 值的验证标准，给出了数据的最佳拟合。因此，发现这些模型对于估计在站立情况下有和没有间作的芒果生物量和碳库非常有用。