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浙江天童灌木层树种个体生物量分配及模拟
夏晨诚,杨同辉,曹菁,赵琦,林波,达良俊
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(华东师范大学生态与环境科学学院,浙江天童森林生态系统国家野外科学观测研究站,上海 200241;宁波市农业科学研究院,宁波 315040;宁波市鄞州区林业技术管理服务站,宁波 315100)
摘要:
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。
关键词:  灌木层  生物量分配  生活型  生物量模拟
DOI:10.13610/j.cnki.1672-352x.20141029.018
基金项目:宁波市重大科技攻关项目(2013C11034), 国家自然科学基金(40971041)和上海市科学技术委员会科研计划项目(08DZ1203102)共同资助。
Biomass allocation and simulation of tree species in the shrub layer in Tiantong,Zhejiang Province
XIA Chencheng,YANG Tonghui,CAO Jing,ZHAO Qi,LIN Bo,DA Liangjun
(Tiantong National Forest Ecosystem Observation and Research Station, Ecology and Environmental Science Institute, East China Normal University, Shanghai 200241;Ningbo Academy of Agricultural Science, Ningbo 315040;Yinzhou Forestry Extension Center of Ningbo, Ningbo 315100)
Abstract:
Biomass in different parts of individual trees was determined using the measured data from different 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.
Key words:  shrub layer  biomass allocation  life form  biomass simulation

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