This study evaluated the applicability of existing overseas-developed allometric equations for estimating the biomass of domestic apple trees (Malus domestica) in South Korea. To assess their suitability, predicted biomass values derived from these equations were compared with actual measurements obtained through destructive sampling. The results indicate that some overseas equations showed no significant difference when applied to domestic apple trees, suggesting their potential applicability to local conditions. However, it was also noted that certain equations may not fully capture the unique characteristics of domestic apple trees, such as the slender spindle form associated with modern high-density planting practices. Given these findings, the study highlights the need to develop new allometric equations that are specifically optimized for the growth characteristics and cultivation environments of domestic apple orchards. Such equations would enable more accurate biomass estimation, support agricultural sustainability, and provide reliable data for the national greenhouse gas inventory. This research is expected to serve as a foundation for future Tier 2-level studies on biomass and carbon sequestration in apple orchards while also underscoring the importance of expanding research to include various fruit tree species to develop customized biomass estimation models for enhanced agricultural management and environmental conservation.

Three bamboo stands(Phyllostachys pubescens(Mazel) Ohwi, P. bambusoides Sieb. et Zucc, P. nigra var. henonis Stapf ex. Rendle) were selected to determine suitable biomass equations and productivity of Gajwa and Wola National Experimental Forests, Jinju, Southern Korea. Different independent variables such as diameter at breast height(DBH) or the combination of DBH and height(H) were used to develop biomass equations(Allometric model : logY = a + blog DBH; Linear-quadratic model : Y=aDBH + bDBH2; Linear model with DBH and height : Y=a + bDBH2·H) for each bamboo component from two age-sequence(current-year, > 1-year-old) of three bamboo stands. Based on statistical indicators, the most suitable equation model to estimate biomass from bamboo stands was a linear-quadratic model. Aboveground biomass of three bamboo stands estimated by the model was 48.864 Mg ha-1 for the P. pubescens, followed by 36.632 Mg ha-1 for the P. bambusoides, and 36.504 Mg ha-1 for the P. nigra var. henonis stands, respectively. The highest biomass in the P. pubescens stand was attributed to the morphological growth characteristics such as DBH and height. Belowground biomass was also highest for P. pubescens(53.35 Mg ha-1), followed by the P. bambusoides(36.73 Mg ha-1) and the P. nigra var. henonis(29.75 Mg ha-1) stands. The results indicate that the morphological growth characteristics such as DBH and height among bamboo species were the most important factor to determine bamboo biomass productivity at a local level.