Allometric regression models are one of the common methods of carbon stock estimation based on growing stock data conversion to estimates of above ground biomass (AGB). Therefore, allometric model selection is important functional aspect that has considerable influence on accuracy of biomass estimation. As destructive sampling is restricted in our study area, the site specific biomass model is developed for the first time based upon the forest inventory data that includes measurements of diameter at breast height (DBH) and tree height (H). To minimize the error in AGB estimation, intensive sampling was done where 78,201 individual tree were enumerated (6034 quadrats laid over 1207 plots). 20 locally abundant tree species were assessed. Tree volume and biomass were calculated and examined for best fit allometric model for the area. Species-specific models were established which best fits with the DBH as predictor variable. For multi-species models, inclusion of wood density (WD) enhanced the model fitness with increased adjusted R² by 99.9%. Significant variations in predicted and observed values were noticed while considering the regional and pan-tropical models (model prediction error − 614.364 to 288.304%). Therefore, development of local models would provide more accurate AGB estimates. Best fit multi-species allometric model in our study is represented by ln (AGB) = a + b ln (DBH) + c ln (H) + d ln(WD). The equation developed for tropical forest of Eastern India applicable for Sal zone of Bihar is ln(AGB) = − 0.886 + 2ln(DBH) + ln(H) + ln(WD).

中文翻译：

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印度东部热带森林碳储量估算的生物量模型开发：一种异速方法

异速回归模型是基于不断增长的储量数据转换为地上生物量（AGB）估算的碳储量估算的常用方法之一。因此，异速生长模型的选择是重要的功能方面，对生物量估计的准确性有相当大的影响。由于在我们的研究区域内破坏性取样受到限制，因此首次基于森林清单数据开发了特定地点的生物量模型，该数据包括胸高（DBH）和树高（H）的直径测量值。为了最大程度地减少AGB估计中的误差，进行了密集采样，其中列举了78,201棵单独的树（在1207块土地上放置了6034平方）。评估了20种当地丰富的树种。计算树木的体积和生物量，并检查该区域的最佳拟合异度模型。建立了特定物种模型，该模型最适合作为预测变量的DBH。对于多物种模型，木材密度（WD）的包含通过增加调整后的R来增强模型适用性² x 99.9％。在考虑区域模型和泛热带模型时，注意到预测值和观测值存在显着变化（模型预测误差-614.364至288.304％）。因此，开发本地模型将提供更准确的AGB估算值。在我们的研究中，最适合的多物种异体测量模型由ln（AGB）=  a  +  b ln（DBH）+  c ln（H）+  d ln（WD）表示。为印度东部的热带森林开发的适用于比哈尔邦Sal区的方程为ln（AGB）= − 0.886 + 2ln（DBH）+ ln（H）+ ln（WD）。