Soil aggregate stability of typical forest stands in the Jinyun Mountain based on Le Bissonnais method
JIANG Chunxiao1,2, WANG Bin1,2, WANG Yujie1,2, WANG Yunqi1,2, HU Bo1,2, ZHANG Wenlong1,2
1. Three-gorges Area(Chongqing) Forest Eco-system Research Station of Ministry of Education, School of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China; 2. Jinyun Forest Ecosystem Research Station, School of Soil and Water Conservation, Beijing Forestry University, 100083, Beijing, China
Abstract:[Background] The slope land of yellow soil is one of the main source of soil erosion for the middle and upper reaches of the Yangtze River, while there is still a research gap in soil aggregate stability under typical forests in the yellow soil area. When using aggregate stability to assess soil erodibility, samples are usually collected from 0-20 cm soil layer. However, the surface of soil (0-1 cm) is still the active layer where various activities act although there is no obvious crust in forest land. Compared with the study on 0-20 cm soil layer, it is important to clarify the aggregate stability of the very surface layer for forest soil.[Methods] Mixed coniferous and broad-leaved forest, evergreen broad-leaved forest, Phyllostachys pubescens forest and shrub forest in the Jinyun Mountain were selected as research sites. In each site, 5 m x 20 m plots were selected. Samples were collected from the surface soil (0-1 cm) and subsoil (>1-20 cm), and 3 repeats along diagonal of each plot and mixed for each plot. The aggregate breakdown mechanism was distinguished by fast wetting test (FW), slow wetting test (SW) and stirring test (ST) in the Le Bissonnais (LB) method, and their stability was expressed by MWD (mean weight diameter)FW, MWDSW, and MWDST, respectively. Soil properties such as soil particle distributions (PSD), soil organic matter (SOM), total nitrogen (TN), total phosphorus (TP), cation exchange capacity (CEC), and exchangeable cations (K+, Na+, Ca2+, and Mg2+) were measured as potential explanatory factors of soil aggregate stability.[Results] 1) The stability of soil aggregates in different forest stands showed a trend of MWDFW < MWDST < MWDSW in general. 2) The soil aggregates stability of 4 forest stands showed a significant difference under different aggregate breakdown mechanisms. The soil aggregates of evergreen broad-leaved forest were the most stable while that of P. pubescens forest were very weak. 3) MWD of the surface soil was greater than that of the corresponding subsoil under the same stand, and the difference varied with different aggregate breakdown mechanism.4) Redundancy analysis (RDA) showed that the cumulative explanations of standard soil properties tested on soil aggregate stability were as high as 99.0%. The main factors influencing soil aggregate stability were different under different aggregate breakdown mechanisms. For FW and SW, soil aggregate stability was mainly affected by SOM, CEC, and exchangeable Mg2+, Ca2+. For ST it was mainly affected by exchangeable K+, Ca2+, Mg2+ and clay content. There was a significantly positive correlation between SOM and soil aggregate stability (P=0.004), and a negative correlation between exchangeable Na+ and the stability under three breakdown mechanism.[Conculsions] There are significant differences in soil aggregate stability in different stands, and the influencing factors are different under different aggregate breakdown mechanisms. Compared with the other three stands, evergreen broad-leaved forest demonstrate the most obvious effect on soil aggregates stability in this area. The mostly used average MWD of the 0-20 cm would, if the difference between surface soil aggregate (0-1 cm) and subsoil aggregate (>1-20 cm) is ignored, probably underestimate the aggregate stability of surface soil.
蒋春晓, 王彬, 王玉杰, 王云琦, 胡波, 张文龙. 基于LB法的缙云山典型林分土壤团聚体的稳定性[J]. 中国水土保持科学, 2020, 18(2): 52-61.
JIANG Chunxiao, WANG Bin, WANG Yujie, WANG Yunqi, HU Bo, ZHANG Wenlong. Soil aggregate stability of typical forest stands in the Jinyun Mountain based on Le Bissonnais method. SSWC, 2020, 18(2): 52-61.
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