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机构地区:[1]北京林业大学省部共建森林培育与保护教育部重点实验室,北京100083
出 处:《浙江农林大学学报》2012年第5期655-660,共6页Journal of Zhejiang A&F University
基 金:"十二五"国家科技支撑计划项目(2012BAD22B02-3)
摘 要:为了对林下灌木草本生物量进行补充和完善,提供更为详实、丰富的灌木层、草本层生物量数据,将长白山云杉Picea jezoensis-冷杉Abies nephrolepis林(云冷杉林)样地按郁闭度0.6,0.8,1.0分类,以林下主要树种幼树生物量进行模型拟合并估算了主要树种幼树生物量。结果表明,云冷杉林主要树种器官(干、枝、叶、根)生物量模型自变量与D2H和DH(D为地径,H为树高)关系最为紧密,最优函数以线性函数为主。其次,随着郁闭度的增加,幼树生物量(W)呈现先减小后增加的趋势。再次,郁闭度为0.6,0.8和1.0时,冷杉对林下幼树生物量贡献率较大,分别达到了34.94%,40.79%和50.26%;云杉对林下幼树贡献率较小,只有6.03%,8.58%和8.03%。To replenish the understory biomass of shrubs and herbs and to provide a more detailed dataset, this study analyzed biomass models which to fit and estimate sapling biomass of primary species in the under story of the Changbai Mountains. Three Piceajezoensis and A bies nephrolepis (sprucefir) forests class;fled ac coming to their canopy densities of 0.6, 0.8, and 1.0, sixty 5 mx5 m plots were designed, five species (including Tilia, Pinus, Abies, Acer, Picea) were sampled. Results showed that the organ biomass models (for trunk, branches, leaves, and roots) of the primary sprucefir species was most closely associated with independent variables D2H (where D is basal diameter and H is tree height) and DH with the optimal models being linear functions, coefficient of determination was above 0.85, all functions were significance (P〈0.05). In addition, an increase in canopy density, sapling biomass (dry weight) performanced for the W (1.0)〉 W (0.6)〉W(0.8). Also, for canopy densities of 0.6, 0.8, and 1.0, fir saplings contributed the most biomass 34.94%, 40.79%, and 50.26%, respectively; whereas biomass from spruce saplings contributed the least with 6.03%, 8.58%, and 8.03%, in that order, we can predict biomass changes in the different canopy density, and enrich understory biomass for this area. [Ch, 1 fig. 4 tab. 16 ref.]
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