The importance of relief for explaining the diversity of the floodplain and terrace soil cover in the Dnipro River valley: The case of the protected area within the Dnipro-Orylskiy Nature Reserve

IF 0.8 Q2 Environmental Science Biosystems Diversity Pub Date : 2023-05-14 DOI:10.15421/012319
G. F. Tutova, O. Kunakh, V. Yakovenko, O. Zhukov
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Abstract

Floodplains are centers of species diversity, so floodplain habitats often contain protected areas. However, conservation strategies pay little attention to soils, on which the functional stability of both individual ecosystems and landscape chains as a whole depends. Soil morphology provides structural and functional information about floodplain ecosystems. The spatial and temporal heterogeneity of soil morphology is a cost-effective ecological indicator that can be easily integrated into rapid assessment protocols for floodplain and riverine ecosystem restoration projects. Therefore, the aim of our work was to consider the morphological features of soils of the Dnipro-Orylskiy Nature Reserve and assess the role of soil diversity as a factor of structural and functional sustainability of ecosystems of the protected area, as well as to identify the significance of geomorphological predictors for differentiation of soil types to create a soil map of the territory. The World Reference Base for Soil Resources reference soil groups were classified using geomorphological predictors. Soil types were able to explain 90% of the variation in elevation occupied by soils. Arenosols occupied a statistically significantly higher position in topography than other soil types. In turn, Eutric Arenosols occupied a higher position (68.91 ± 0.48 m) than Eutric Lamellic Arenosols (63.32 ± 0.54 m). Other soils occupied positions in the topography that were not statistically significantly different in height. Soil types were able to explain 38% of the variation in elevation that the soils occupied. The highest Topography Wetness Index values were found for Fluvisols (12.73 ± 0.23) and Solonetz (13.06 ± 0.28 m). Differences between these soils were not statistically significant. Topography Wetness Index was slightly lower for Cambisols (11.80 ± 0.21) and Eutric Lamellic Arenosols (12.21 ± 0.28), which also did not differ on this measure. The lowest Topography Wetness Index value was found for Gleysols (11.15 ± 0.17) and Eutric Arenosols (10.95 ± 0.24), which did not differ from each other on this index. Eutric Arenosols and Eutric Lamellic Arenosols are formed at great depths of the water table (7.89 ± 0.50 and 2.62 ± 0.46 m, respectively). Gleysol and Solonetz form at close groundwater level to the surface (0.28 ± 0.27 and 0.21 ± 0.46 m, respectively) compared to Fluvisol and Cambisol (0.46 ± 0.38 and 0.41 ± 0.35 m, respectively). Elevation was the most informatively valuable predictor, but Topography Wetness Index and Vertical Distance to Channel Network significantly improved discrimination. Arenosols were very different from other soils which occupy an automorphic position. Cambisols occupied a transitional position. Other soils occupied hydromorphic positions. Fluvisols and Solonetz occupied wetter positions, while Gleysol occupied less wet positions. Fluvisols and Solonetz differed in the groundwater table. Solonetz predominantly occurred at close groundwater levels. The classification matrix confirmed the possibility of using geomorphological predictors to build a model of spatial variation of soils in the study area. The spatial model demonstrates the organization of the soil cover of the reserve. Calculations showed that Cambiosols occupy 20.7% of the area, Eutric Arenosols occupy 16.0%, Eutric Lamellic Arenosols occupy 17.9%, Fluvisols occupy 15.2%, Gleysols occupy 28.7%, and Solonetz occupy 1.5%.
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地形对解释第聂伯罗河谷洪泛区和阶地土壤覆盖多样性的重要性:以第聂伯罗-奥利尔斯基自然保护区为例
洪泛区是物种多样性的中心,因此洪泛区栖息地通常包含保护区。然而,保护策略很少关注土壤,而土壤是单个生态系统和整个景观链的功能稳定性所依赖的。土壤形态提供了河漫滩生态系统的结构和功能信息。土壤形态的时空异质性是一种具有成本效益的生态指标,可以很容易地纳入河漫滩和河流生态系统恢复项目的快速评估方案。因此,我们的工作目的是考虑第聂伯-奥利尔斯基自然保护区土壤的形态特征,评估土壤多样性作为保护区生态系统结构和功能可持续性因素的作用,并确定地貌预测因子对土壤类型分化的重要性,从而创建该领土的土壤地图。利用地貌学预测因子对世界土壤资源参考库参考土壤类群进行分类。土壤类型能够解释90%的土壤高程变化。砂硝土在地形上的位置显著高于其他土壤类型。而中性薄层砂在地形上的位置(68.91±0.48 m)高于中性薄层砂(63.32±0.54 m),其他土壤在地形上的位置差异无统计学意义。土壤类型能够解释38%的土壤海拔变化。地形湿度指数最高的土壤为Fluvisols(12.73±0.23 m)和Solonetz(13.06±0.28 m),差异无统计学意义。地形湿度指数在cambisol(11.80±0.21)和Eutric Lamellic Arenosols(12.21±0.28)中略低,在该指标上也没有差异。地形湿度指数最低的是Gleysols(11.15±0.17)和Eutric Arenosols(10.95±0.24),二者在该指数上差异不大。富营养化薄层砂和富营养化薄层砂形成于较深的地下水位(分别为7.89±0.50 m和2.62±0.46 m)。与氟维醇和Cambisol(分别为0.46±0.38和0.41±0.35 m)相比,Gleysol和Solonetz在接近地下水位处形成(分别为0.28±0.27和0.21±0.46 m)。海拔是最具信息价值的预测因子,但地形湿度指数和与航道网络的垂直距离显著提高了识别能力。砂硝土与其他土壤具有自同构地位的土壤有很大的不同。cambisol占据了一个过渡的位置。其他土壤占据水形态位置。Fluvisols和Solonetz占据湿润位置,而Gleysol占据较少的湿润位置。Fluvisols和Solonetz的地下水位不同。Solonetz主要发生在地下水位附近。分类矩阵证实了利用地貌预测因子构建研究区土壤空间变异模型的可能性。空间模型反映了保护区土壤覆盖的组织结构。计算表明,形生砂占20.7%,中性砂占16.0%,中性片层砂占17.9%,流态砂占15.2%,Gleysols占28.7%,Solonetz占1.5%。
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