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首页> 外文期刊>Fresenius Environmental Bulletin >EFFECT OF ENVIRONMENTAL FACTORS ON THE FLORISTIC VARIABILITY OF FLOODED FORESTS AND DIFFERENTIAL ADAPTABILITY OF SPECIES ON VARIATION OF ENVIRONMENTAL GRADIENTS (RAVNI SREM, SERBIA)
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EFFECT OF ENVIRONMENTAL FACTORS ON THE FLORISTIC VARIABILITY OF FLOODED FORESTS AND DIFFERENTIAL ADAPTABILITY OF SPECIES ON VARIATION OF ENVIRONMENTAL GRADIENTS (RAVNI SREM, SERBIA)

机译:环境因素对水淹森林的花艺变异性和物种对环境梯度变化的适应性的影响(RAVNI SREM,塞尔维亚)

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摘要

The multiple regression CCA model shows how the pronounced gradients of three hydrological factors (length, frequency and level of flooding above the surface of forest soil), in synergetic activity with five other environmental factors (ECe, pH, distance from river bed, altitude and canopy of stand) influence the pattern of species variability and differentiation of flood forests. According to the inter-set correlation, the environmental factors representing the gradients of distance from river bed, altitude and alternation of length of flooding and surface waterlogging of forest soils were shown to be the most important for structure of floristic variability. The environmental variables used in this ordination explain 72.18% of total variability of species appearance. The cumulative percentage of variance for species explained by influence of first four canonical axes is 45.5%. The percentage of variance of species-environmental factors relationship, as a fraction of total explainable dispersion (inertia) of species score is one third for the first two axes, while for the first four axes 63.1% of variation may be explained with these eight environmental factors. According to SIMPER procedure, first 50% of cumulative contribution to floristic differentiation among the three hydrologically different forest types is composed of 19 (out of the total of 111) taxa, listed according to the importance of their individual contribution: Carpinus betu-lus, invazivna wrsta Amorpha fruticosa, Fraxinus angustifo-lia, Salix cinerea, Quercus robur, Myosotis palustris, Polygonum hydropiper, Populus alba, Mentha arvensis, Carex vulpina, Galium palustre, Rumex sanguineus, Ly-copus europaeus, Frangula alnus, Oenanthe fistulosa, Salix fragilis, Euphorbia helioscopia, Hordeum murinum and Veronica chamaedrys. The Gaussian response model to species abundance (Gradient species packing), applied to dominant and certain adventive ligneous species, suggests a strong adaptability pattern of species toward the environmental gradients. Regarding the length of flooding, the reached ecological optimums are clearly defined. The lowest values of optimums at the given gradient among the species included in the model were shown by field maple and common hornbeam, while the greatest values for this hydrological variable were shown by grey willow and black alder, as expected. The most tolerant species were pedunculate oak, field ash and the invasive shrub species false indigo bush as the most euryvalent species from the aspect of length of flooding, while the Euro-American poplar and black alder were the most stenovalent. Very similar relationships among the species were also present regarding the gradient of reached levels of surface water, clearly indicating a certain co-linearity between these two factors, as supported by the multiple regression CCA model.
机译:多元回归CCA模型显示了三种水文因素(森林土壤表面上方的洪水的长度,频率和水位)的显着梯度与其他五种环境因素(ECe,pH,距河床的距离,高度和林分冠层)影响着洪水森林物种变异和分化的模式。根据组间相关性,表明环境因子代表距河床距离的梯度,海拔和洪水的长度的交替以及森林土壤的表层涝渍,这对于植物区系的变异结构最重要。该排序中使用的环境变量解释了物种外观总变异性的72.18%。通过前四个规范轴的影响解释的物种累积方差百分比为45.5%。物种与环境因子的关系变异百分比,作为物种分数的总可解释离散度(惯性)的分数,对于前两个轴是三分之一,而对于前四个轴,可以用这八个环境解释63.1%的变化因素。根据SIMPER程序,在三种水文不同的森林类型中,对植物区系分化的累积贡献的前50%由19种(总共111种)分类单元组成,并按其各自贡献的重要性列出:Carpinus betu-lus, invazivna wrsta Amorpha fruticosa,Fraxinus angustifo-lia,柳柳,Quercus robur,Myosotis palustris,gon水pi,Populus alba,Mentha arvensis,Carex vulpina,Galium palustre,Rumex sanguineus,Ly-copus salpaeus ,大戟天芥,大麦和维罗妮卡chamaedrys。高斯对物种丰富度的响应模型(梯度物种堆积)适用于优势和某些外来木质物种,表明物种对环境梯度的适应性强。关于洪水的持续时间,明确定义了达到的生态最佳状态。如所预期的那样,模型中包括的物种中给定梯度中最优值的最低值由田野枫树和普通角树显示,而水文变量的最大值由灰柳和黑al木显示。从洪水泛滥的角度来看,耐受性最强的有花梗橡树,田间灰烬和入侵性灌木种的假靛蓝灌木是多叶类植物,而欧洲杨树和黑der木则是多叶类植物。物种之间也存在非常相似的关系,涉及地表水达到的梯度,这清楚表明这两个因素之间存在一定的共线性,这得到了多元回归CCA模型的支持。

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