苏北石质山地9个造林树种地上生物量分配特征与异速生长模型

涂颢川; 王叶乔; 郑婧婧; 李雄杰; 汪贵斌; 余鹏飞

doi:10.12302/j.issn.1000-2006.202412003

涂颢川, 王叶乔, 郑婧婧, 李雄杰, 汪贵斌, 余鹏飞

南京林业大学学报（自然科学版） ›› 2026, Vol. 50 ›› Issue (4) : 207-216.

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

第二十八届中国科协年会———全球气候变化下的林草智能设计育种专题（执行主编　曹福亮　范国强　尹佟明　张怀清）
研究论文

苏北石质山地9个造林树种地上生物量分配特征与异速生长模型

涂颢川 ¹ ,
王叶乔 ¹ ,
郑婧婧 ¹ ,
李雄杰 ¹ ,
汪贵斌 ¹^,^* ,
余鹏飞 ²

作者信息 +

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

Author information +

文章历史 +

摘要

【目的】探究苏北石质山地9个造林树种地上器官生物量分配特征,构建并筛选其单树种及混合树种生物量最优估算模型,为该地区人工林生物量及碳汇能力的评估提供理论依据。【方法】以徐州市石质山地女贞(Ligustrum lucidum)、五角枫(Acer pictum)、黄连木(Pistacia chinensis)、青桐(Firmiana simplex)、国槐(Styphnolobium japonicum)、白杜(Euonymus maackii)、朴树(Celtis sinensis)、榉树(Zelkova serrata)和栾树(Koelreuteria paniculata)等9个树种的人工林为对象,采用径阶标准木法选取并收获样木,测定样木干材(去皮树干)、树皮、枝条和树叶生物量,计算各器官占地上生物量的比例,分析生物量分配特征。以胸径(D)、树高(H)及其组合(D²H、D和H)为自变量,采用非线性模型的对数回归形式构建各单树种和混合树种生物量最优模型。【结果】9个树种的生物量分配总体呈现为干材(55.99%)占比最高,枝条(24.12%)和树皮(10.16%)次之,树叶生物量(9.73%)占比最低。各树种总体表现为:随胸径增长,干材生物量比例显著下降(P<0.05),树皮和树叶生物量比例极显著下降(P<0.01),枝条生物量比例极显著上升(P<0.01)趋势。单树种生物量模型中以D和D²H作为单一自变量的模型为最优(R²=0.649~0.998),混合树种生物量模型则以D和H作为双变量及以D作为单一自变量的模型为最优(R²=0.506~0.944)。【结论】植物通过调节器官间资源分配以适应环境,形成不同的生物量分配格局。胸径(D)与生物量的关联性强于树高(H),单树种和混合树种筛选出的最优模型自变量均包含D、或D与H、或D²H。在生物量估算中,单树种模型因区域和物种特异性,预测精度较高。

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.

导出引用

涂颢川, 王叶乔, 郑婧婧, 等. 苏北石质山地9个造林树种地上生物量分配特征与异速生长模型[J]. 南京林业大学学报（自然科学版）. 2026, 50(4): 207-216 https://doi.org/10.12302/j.issn.1000-2006.202412003

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

中图分类号： S757

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