Characteristics of aboveground biomass allocation and allometric models for nine afforestation species in the rocky mountainous areas of northern Jiangsu Province

Tu Haochuan, Wang Yeqiao, Zheng Jingjing, Li Xiongjie, Wang Guibin, Yu Pengfei

Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2026, Vol. 50 ›› Issue (4) : 207-216.

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南京林业大学学报（自然科学版）
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Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2026, Vol. 50 ›› Issue (4) : 207-216. DOI: 10.12302/j.issn.1000-2006.202412003

Characteristics of aboveground biomass allocation and allometric models for nine afforestation species in the rocky mountainous areas of northern Jiangsu Province

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Abstract

【Objective】This study aims to explore the biomass allocation characteristics of aboveground organs for nine afforestation tree species in the rocky mountainous areas of northern Jiangsu, construct and screen optimal biomass estimation models for both single and mixed tree species, and provide a theoretical basis for evaluating the biomass and carbon sink capacity of plantations in this region.【Method】Taking the plantations of nine tree species in the rocky mountains of Xuzhou, including Ligustrum lucidum, Acer pictum, Pistacia chinensis, Firmiana simplex, Styphnolobium japonicum, Euonymus maackii, Celtis sinensis, Zelkova serrata, and Koelreuteria paniculata as the research objects, the diameter class standard tree method was used to select and harvest sample trees. The biomass of stem (peeled trunk), bark, branches, and leaves of the sample trees was measured, the proportion of each organ in the aboveground biomass was calculated, and the biomass allocation characteristics were analyzed. Taking diameter at breast height (D), tree height (H), and their combinations (D2H, D and H) as independent variables, the logarithmic regression form of the nonlinear model was used to construct the optimal biomass models for each single tree species and mixed tree species.【Result】The biomass allocation of the nine tree species generally showed that the stem wood (55.99%) had the highest proportion, followed by branches (24.12%) and bark (10.16%), and the leaf (9.73%) had the lowest proportion. At the overall level of each tree species, with the increase of DBH, the proportion of stem wood biomass decreased significantly (P<0.05), the proportions of bark and leaf biomass decreased extremely significantly (P<0.01), and the proportion of branch biomass increased extremely significantly (P<0.01). In the single tree species biomass model, the models with D and D2H as single independent variables were the best (R2=0.649-0.998), while the mixed tree species biomass model had the best models with D and H as bivariate variables and D as a single independent variable (R2=0.506-0.944).【Conclusion】Plants adapt to the environment by regulating the resource allocation between organs, forming different biomass allocation patterns. The correlation between DBH (D) and biomass is stronger than that of tree height (H). The independent variables of the optimal models screened for single tree species and mixed tree species all include D, or D and H, or D2H. In biomass estimation, the single tree species model has higher prediction accuracy due to its regional and species specificity.

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rocky mountainous areas of northern Jiangsu Province / plantation / afforestation species / biomass / allocation pattern / allometric model

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Tu Haochuan , Wang Yeqiao , Zheng Jingjing , et al . Characteristics of aboveground biomass allocation and allometric models for nine afforestation species in the rocky mountainous areas of northern Jiangsu Province[J]. Journal of Nanjing Forestry University (Natural Sciences Edition）. 2026, 50(4): 207-216 https://doi.org/10.12302/j.issn.1000-2006.202412003

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