土壤和植物覆盖作为第聂伯河泛滥平原生态系统土壤大型动物的驱动因素的作用

Pub Date : 2023-01-01 DOI:10.2478/foecol-2023-0002
O. Kunakh, Yulia Zhukova, V. Yakovenko, O. Zhukov
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引用次数: 3

摘要

摘要洪泛平原生态系统是生物多样性的热点,在景观中发挥着重要的生态系统功能。了解生态系统功能可持续性的关键是了解生态系统组成部分之间的关系。本文揭示了土壤的形态和物理特性,以及环境因素的植物指示在第聂伯河泛滥平原受保护生态系统土壤大型动物生物多样性的驱动因素中的作用。这些研究是在“第聂伯罗-奥里斯基”自然保护区的森林泛滥平原生态系统中进行的。对土壤形态特性的研究使我们能够确定两个参考组的代表:Fluvisol和Gleysol。对土壤物理性质数据进行主成分分析,提取了四个特征值超过一的主成分,描述了79.9%的性状变异。土壤物理性质变化的主要组成部分和环境因素的植物指示评估被用作土壤大型动物群落结构的预测因子。这些预测因子能够解释29.6%的社区变异。土壤物理特性是土壤大型动物群的最重要驱动因素。土壤的形态特征和植物指标评估能够解释群落变化的一小部分。预测因子的纯影响很小,表明它们在影响土壤动物方面有显著的相互作用。研究结果对制定洪泛平原生态系统管理和生物多样性保护的最佳策略具有启示意义。
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The role of soil and plant cover as drivers of soil macrofauna of the Dnipro River floodplain ecosystems
Abstract Floodplain ecosystems are hotspots of biological diversity and perform important ecosystem functions in the landscape. The key to understanding the sustainability of ecosystem function is knowledge of the relationships between ecosystem components. The article reveals the role of morphological and physical properties of soil, as well as phytoindication of environmental factors as drivers of biological diversity of soil macrofauna of protected ecosystems of the Dnipro River floodplain. The studies were conducted in the forest floodplain ecosystems of the “Dnipro-Orilskiy” Nature Reserve. The studies of morphological properties of soils allowed us to identify the representatives of two reference groups: Fluvisol and Gleysol. The soil physical property data were subjected to principal component analysis, which extracted four principal components whose eigenvalues exceeded unity and described 79.9% of the variation in traits. The principal components of variation in soil physical properties and phytoindication assessments of environmental factors were used as predictors of the community structure of soil macrofauna. These predictors were able to explain 29.6% of the community variation. Physical soil properties are most important as a driver of soil macrofauna. The morphological properties of the soil and phytoindicator assessments are able to explain a much smaller part of the community variation. The pure influence of the predictors is small, indicating that they interact significantly in influencing soil animals. The results obtained have implications for the development of optimal strategies for floodplain ecosystem management and biodiversity conservation.
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