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机构地区:[1]东北林业大学,哈尔滨150040
出 处:《东北林业大学学报》2011年第7期46-49,53,共5页Journal of Northeast Forestry University
基 金:黑龙江省政府博士后基金资助
摘 要:运用基于个体的集水区森林动态模型(Catchment scale Forest Dynamic Mode,CFDM),对老爷岭张家沟次生林集水区进行了为期300 a的模拟,并预测了该区域天然次生林的演替发展进程。经过验证证明,所得模型能较准确地量化模拟出树种组成和蓄积量,并能合理地预测森林结构动态。长期演替结果显示:天然次生林在当地原生地带性顶极群落优势种——红松缺失的情况下,由水曲柳、紫椴等主要阔叶树种组成的天然次生林能够顺利地完成演替与更新,整体蓄积量在一定时期达到最大并趋于稳定,在无人为干扰背景下,次生林将长期处于这种相对稳定的状态。A 300-year simulation with the catchment scale forest dynamic model (CFDM) was conducted to study the dynamic structural change of forest communities at Zhangjiagou Catchment in Maoershan Ecosystem Research Station. The successional process of the natural secondary forests in Maoershan region was predicted. Results showed that the secondary forests, mainly composed of broadleaved tree species such as Fraxinus mandshurica and Tilia amurensis, could complete the successional process without the presence of Pinus koraiensis, which is the dominant species in the regional climax community. And the gross volume reached its maximum and tended to be stable after a certain period of time without human disturbance.
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