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1.贺兰山区的青海云杉群落是十分可贵的生物基因库和能库,研究该群落的生物量对定量估计它的直接与间接效益,对研究贺兰山区植物群落的演替规律,对于旨在维护当地生态平衡的各项设计工作都具有很大意义。 2.在贺兰山林场水磨沟营林区阴区沟选样地、伐倒样木实测并经室内测算后求得的青海云杉各生物量干重的经验方程是树干:IogWg=2.0307+0.7524logD~2H 树皮:IogW=_p1.2546+0.7359logD~2H 树枝:IogW_x=1.6937+0.8138logD~2H 树叶:IogW_y=1.6201+0.6921logD~2H 材积:Iog~V=0.7874IogD~2H—0.4668式中W_g、W_p、W_x、W_y分别为林木的干重、皮重、枝重、叶重(干重,公斤),V示材积(M~3),或中的D和H代表立木胸径和树高(单位为m)。计算表明,各方程的相关系数均在0.95以上。 3.利用上列生物量公式,根据阴区——1号样地每木检尺数据推算中令(75年)云杉林的乔木层生物量干重为127.26吨/公顷,其中干、皮、枝、叶、根以次为50.69、8.66、21.64、21.37、24.90。如加上幼树、灌木和各种活地被物的生物量则有130.35吨/公顷。这个数字不低于东北区的云冷杉和落叶松林。如今在贺兰山区遍布这样的生物能库是十分可贵的。
1. Helan Mountain Picea crassifolia community is a very valuable biological gene pool and energy pool, to study the biomass of the community quantitatively estimate its direct and indirect benefits, to study Helan mountain plant community succession law, for All design work designed to preserve the local ecological balance is of great significance. 2. The empirical equation of biomass of dry weight of P. spruce was obtained from the sampling in the Yingou ditch of Shuimogouying forest in Helan Mountain Forest Farm. The empirical equation of the biomass of dry weight of P. spruce was actually calculated as follows: IogWg = 2.0307 + 0.7524logD ~ 2H Bark: IogW = _p1.2546 + 0.7359logD ~ 2H Branch: IogW_x = 1.6937 + 0.8138logD ~ 2H Leaves: IogW_y = 1.6201 + 0.6921logD ~ 2H Volume: Iog ~ V = 0.7874IogD ~ 2H-0.4668 The W_g, W_p, W_x and W_y were the dry weight, tare weight, branch weight, leaf weight (dry weight, kg), V plot (M ~ 3) High (in m). Calculations show that the correlation coefficients of all the equations are above 0.95. According to the above biomass formula, the dry weight of arborous layer of spruce forest in Zhongling (75 years) was 127.26 t / , Branches, leaves, roots to the next 50.69,8.66,21.64,21.37,24.90. As for the saplings, the biomass of shrubs and various kinds of living things is 130.35 tons / hectare. This figure is not lower than in the northeast of the cloud fir and larch forest. Today in the Helan mountains around such a bio-energy library is very valuable.