浙江天童灌木层树种个体生物量分配及模拟

Biomass allocation and simulation of tree species in the shrub layer in Tiantong,Zhejiang Province

根据不同生活型树种标准木实测数据,比较个体生物量器官分配状况以探索其生长策略;同时建立了该地区灌木层主要树种的生物量回归模型,并与全收割法测量数据比较,检验模型估算精度。结果表明,相对常绿树种,天童灌木层落叶树种分配较多的生物量于地上部分来获取更多光照资源以满足自身生长需要;灌木树种分配较多生物量于树叶,相比之下,乔木树种则更多地累积树干和根系生物量;各生活型树种器官生物量模型以幂函数为主,树干和地上部分模型拟合度最好;应用于样地生物量估算,树干模型精度最高,树叶模型精度最低;地上部分生物量回归模型能较为准确地估算灌木层生物量,与实测值误差仅为0.47%,表明该模型适用于地区灌木层生物量的测算。

Biomass in different parts of individual trees was determined using the measured data from differ- ent life forms of trees in the shrub layer in Tiantong region. Biomass regression models developed for main shrub species were used to predict above-ground biomass. The accuracy of the models was estimated by comparing to the direct harvest method. The results showed that deciduous species distributed more biomass to above-ground part than evergreen species to receive more light resources to meet their growth needs. Shrubs distributed more biomass to the leaf, while trees accumulated more biomass in the stem and root. Biomass regression models for individual organs of main shrub layer species were almost power functions. Biomass models for tree trunk and above-ground parts fitted best. Thus, the model for tree trunk had the highest accuracy while the model for leaf biomass had the lowest accuracy. Therefore, our locally developed regression models can accurately estimate above-ground biomass of the shrub layer in the studied region only with an error of 0.47 % compared to the direct harvest data, indicating that the model is suitable to biomass estimation for the shrub layer in this region.