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Modeling dynamics of forest ground vegetation diversity under different forest management regimes

机译:不同森林管理制度下森林地表植被多样性的动力学模型

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Forest ground vegetation constitutes the largest number of plant species that participate in forest dynamics. Single species or species groups of forest ground vegetation can be used as indicators for site conditions. Ground vegetation has to be accounted in forest simulation modelling if biodiversity dynamics are evaluated to serve the purpose of sustainable forest management. The usual approach is to segregate ground vegetation into plant functional types. However, there are other methods that could be used. In our contribution we propose to split ground vegetation into ecological-coenotic species groups. An application of the ecological-coenotic approach allowed for a forecasting of the dynamics of forest ground vegetation diversity on the basis of forest ecosystem modelling outputs, standard forest inventory data, and regional phytosociological data sets. A new software BioCalc designed for the forecasting of dynamics of forest ground vegetation diversity, and the EFIMOD model of the forest growth and element cycling in the forest-soil system is used for simulating the forest ecosystem parameters under different forest management regimes. An application of the proposed method for a study area, dominated by Pinus sylvestris and Betula sp., situated in the Central European Russia is discussed. Two hundred-year dynamics of ground vegetation composition, forest types and species diversity is analysed under four forest management scenarios: natural development (NAT); selective cuttings (SCU); authorized by Russian legislation clear cuttings (LRU); non-authorized by the legislation but widespread clear cuttings (ILL). The simulation results showed that the total number of forest types is higher in all scenarios with cuttings relative to the NAT scenario. However, the NAT strategy leads to the growth of coniferous-broad-leaved forests close to the climax forest type of the study area. Cuttings hinder the development of climax forest structure due to the low level of deadwood in harvested forests and the absence of species-rich forest units dominated by nitrophilous tall herbs in the understorey. The NAT strategy leads to the highest species diversity in ground vegetation if a free forest development has taken place for rather long time, i.e., more than 100 years in the study area. The sum of species diversity is rather low for SCU, LRU, and ILL scenarios. It is 0.8, 0.7, and 0.6, respectively, in comparison with the NAT scenario. The SCU scenario lead to a simplification of ground vegetation together with a conservation of nemoral and boreal species. Scenarios with clear cuttings (LRU and ILL) maintain piny and meadow groups in ground vegetation. None of the forest management scenario leads to the maintenance of the whole set of ecological-coenotic groups in ground vegetation. Only a spatial combination of different management regimes in the forest area is necessary for the biodiversity restoration and maintenance..
机译:森林地面植被构成了参与森林动态的最多的植物物种。森林地面植被的单一物种或物种组可以用作场地条件的指标。如果评估生物多样性动态以达到可持续森林管理的目的,则必须在森林模拟模型中考虑地面植被。通常的方法是将地面植被分为植物功能类型。但是,可以使用其他方法。在我们的贡献中,我们建议将地面植被分为生态型物种组。生态共生方法的应用允许根据森林生态系统建模输出,标准森林清单数据和区域植物社会学数据集来预测林地植被多样性的动态。设计了一种用于预测森林地面植被多样性动态的新软件BioCalc,以及森林-土壤系统中森林生长和元素循环的EFIMOD模型,以模拟不同森林管理制度下的森林生态系统参数。讨论了该方法在位于中欧俄罗斯的以樟子松和桦属为主的研究区域中的应用。在四种森林管理方案下分析了地上植被组成,森林类型和物种多样性的两百年动态:自然发展;选择性插条(SCU);由俄罗斯法律授权清除碎屑(LRU);未经立法授权,但广泛的清晰片段(ILL)。模拟结果表明,在所有场景中,相对于NAT场景,所有类型的森林类型都更高。但是,NAT策略导致针叶阔叶林的生长接近研究区域的高潮林类型。砍伐阻碍了高潮森林结构的发展,因为伐木场中的枯木含量低,并且在林下层中缺少以亚硝酸盐的高药草为主的物种丰富的森林单元。如果在相当长的时间内(即在研究区域中超过100年)进行了自由森林开发,则NAT策略将导致地面植被的物种多样性最高。对于SCU,LRU和ILL场景,物种多样性总和非常低。与NAT方案相比,它分别为0.8、0.7和0.6。 SCU方案导致地面植被的简化以及对神经和北方物种的保护。具有清晰插枝(LRU和ILL)的方案在地面植被中维持松树和草甸群。没有任何一种森林管理方案可以维持地面植被的整个生态群落。对于森林生物多样性的恢复和维护,仅需要森林地区不同管理制度的空间组合即可。

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