土地利用对塞尔维亚ma va南部和Pocerina伪林土壤结构的影响

M. Dugonjić, A. Đorđević, Slađana Golubović, Svjetlana Radmanović
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摘要

采用森林、草甸和耕地3个样地的土壤样品,研究了马南部和Pocerina地区不同利用方式对土壤非团聚体分布和稳定性的影响。采用Savinov法测定骨料组成和稳定性。利用Revut's土壤结构系数(Ks)和Vershinin's土壤团聚体结构系数(K A)对土壤结构进行了评价。结果表明,研究区土壤团聚体组成和稳定性受土地利用类型的影响较大,特别是在表层Ah和Ahp层,差异最为明显。在森林植被下,黄杨剖面的团聚体组成最有利,湿稳定性最高。草甸剖面总体分布居中,耕地剖面最穷。对采集数据进行统计分析表明,干筛法测定的Ks值以森林剖面最高,平均为2.261.21,草甸剖面为1.591.09,耕地剖面为1.140.62。用于评价团聚体对水稳定性的K值也显示,森林假地团聚体的平均值最高(2.051.03),其次是草甸团聚体(1.960.99)和耕地团聚体(1.931.22)。相关分析结果表明,土壤k值与粘土、pH值和碱饱和度呈负相关,与土壤腐殖质呈正相关(r分别为-0.77、-0.70、-0.81和0.79,p<0.01)。相反,K A与腐殖质呈负相关,与粘土、pH值和碱饱和度呈正相关(r分别为-0.21、0.82、0.69和0.69,p<0.01)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Land use impact on soil structure of Pseudogleys in southern Mačva and Pocerina, Serbia
The impact of various types of uses of Pseudogley soils in southern Mačva and Pocerina on the iraggregate distribution and stability was studied on soil samples collected from profiles under forest, meadow and arable land, at three localities. The aggregate composition and stability were determined by Savinov'smethod. The soil structure was assessed by using Revut's coefficient of soil structure (Ks) and Vershinin's coefficient of soil aggregate structure (K A). The results show that the studied Pseudogley soils are characterized by an unfavorable structure, while the type of land use has a significant impact on the aggregate composition and stability, especially in surface Ah and Ahp horizons, where these differences are the most pronounced. The most favorable aggregate composition and highest wet-stability are found in Pseudogley profiles under forest vegetation. The aggregate distribution of meadow profiles was intermediate and of arable land the poorest. Statistical analysis of the collected data shows that Ks values, determined by dry sieving, were the highest in forest profiles (2.261.21 on average), while the values for meadow were 1.591.09 and of arable land 1.140.62. The values of K A , used to assess the aggregate stability to water, also show that forest Pseudogleys have the highest average values (2.051.03), followed by meadow (1.96 0.99) and cultivated soils (1.931.22). The results of correlation analysis indicate that Ks is negatively correlated with clay, pH value and base saturation, but positively correlated with soil humus (r=-0.77,-0.70,-0.81 and 0.79, respectively, p<0.01). Conversely, K A is negatively correlated with humus and positively correlated with clay, pH value and base saturation (r=-0.21, 0.82, 0.69 and 0.69, respectively, p<0.01).
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