Agroforestry plays a significant role in climate change mitigation through improved sequestration and storage of carbon in farmlands. However, quantitative information on above and belowground carbon inputs in agroforestry systems practiced is limited in the drylands is limited. This study estimated biomass and soil carbon stocks of Rhamnus prinoides based agroforestry practices in Ahferom and Ganta-Afeshum districts of Tigray region. Inventory was conducted on farms with R. prinoides intercropping of varied density. Destructive method was used to develop allometric models for estimating above and belowground biomass carbon. Undisturbed and composite soil samples were taken from farms with and without R. prinoides plants (open). The model based on diameter at stump height (r = 0.91) and height (r = 0.83) presented good fit (0.86 < R² < 0.93, P < 0.01) with lower mean predicted error (MPE) values for estimating the aboveground (AGB) and belowground (BGB) biomass. Compared to existing models our model produced lower MPE (− 0.05) in predicting observed R. prinoides AGB. Overall, 8.3 Mg ha⁻¹ and 5.5 Mg ha⁻¹ carbon stocks were found in AGB and BGB, respectively. The carbon stock in AGB and BGB increased as tree density increases. Soil organic carbon (SOC) stock in farms with R. prinoides intercropping (121.9 ± 29 Mg ha⁻¹) significantly increased as density increased, and it was significantly higher than nearby open farms (93.2 ± 25.6 Mg ha⁻¹) (P < 0.05). SOC stock was not significantly decreasing from upper to lower soil depth in farm plots with R. prinoides of varied density. While significantly decreased in the open farms (P < 0.05). R. prinoides annual leaves harvest increased as tree density increased. While annual production of associated crop Wheat decreased. Farm plots with medium tree density and with large size were optimal for carbon accumulation, R. prinoides leaves and crop production. The higher amount of carbon stock in farms with R. prinoides agroforestry compared to open farms indicates the possibility of increasing carbon stock in farming systems through scaling up similar practices.

农林业通过改善农田的固碳和封存，在缓解气候变化中发挥着重要作用。但是，在旱地中，有关农林业系统中地上和地下碳输入的定量信息是有限的。这项研究估计了蒂格里地区的阿弗罗姆和甘塔-阿菲休姆地区基于鼠李的农林混作的生物量和土壤碳储量。盘点了在不同密度的间种雷诺氏菌间作的农场。使用破坏性方法开发了用于估算地上和地下生物量碳的异速测量模型。原状和复合土壤样品取自有和没有雷诺氏菌的农场植物（开放）。基于树桩高度（r  = 0.91）和高度（r  = 0.83）的直径的模型具有良好的拟合度（0.86 <  R ²  <0.93，P  <0.01），具有较低的平均地面预测误差（MPE）值（AGB） ）和地下（BGB）生物量。与现有模型相比，我们的模型在预测观察到的普氏疟原虫AGB时产生了较低的MPE（-0.05）。总体而言，在AGB和BGB中分别发现了8.3 Mg ha ^-1和5.5 Mg ha ^-1的碳储量。随着树木密度的增加，AGB和BGB中的碳储量也增加了。普氏红松菌养殖场中的土壤有机碳（SOC）存量间作（121.9±29 Mg ha ^-1）随着密度的增加而显着增加，并且显着高于附近的露天农场（93.2±25.6 Mg ha ^-1）（P  <0.05）。在不同密度的普氏红。菌的农田中，SOC含量从上到下的土壤深度没有显着减少。而在开放农场中显着下降（P  <0.05）。随着树木密度的增加，R。prinoides的年度叶片收成增加。伴生小麦的年产量下降。树木密度中等，面积较大的农田最适合碳积累，即R. prinoides叶片和农作物产量。与开放式农场相比，具有R. prinoides农林业的农场中的碳储量更高，这表明有可能通过扩大类似做法来增加农业系统中的碳储量。