摘要
采用土壤微团聚体类、水稳性团聚体类及有机质含量作为指标,通过主成分分析方法,对重庆市中梁山不同土地利用方式表层土壤抗蚀性进行了研究。结果表明:>0.25mm水稳性团聚体含量及破坏率、>0.5mm水稳性团聚体含量及破坏率、平均重量直径和有机质含量是评价土壤抗蚀性的最佳4指标;土壤抗蚀性强弱顺序为:灌丛地>草地>竹林地>坡耕地,退耕还林、还草有利于提高土壤抗蚀性;运用微团聚体类指标和水稳性团聚体类及有机质指标分别进行土壤抗蚀性评价时,得到相反的结论;土壤水稳性团聚体类指标评价结果与主成分分析结果一致,这与研究区特殊的成土过程和脆弱的生态环境有关;耕作侵蚀使坡耕地土壤主要性质产生坡面分异,进而产生土壤抗蚀性的坡面分异。坡耕地不同部位土壤抗蚀性强弱为:上部>下部>底部>顶部,这与土壤水稳性团聚体含量坡面分异一致,证明水稳性团聚体类指标可以较好地反映土壤抗蚀性特性。
Research on the surface soil anti-erodibility of different land use types by means of principal component analysis in Zhongliang Mountain of Chongqing was carried out based on the data of micro-aggregates,water stable aggregate and organic matter content as indicators.The results showed that： 0.25 mm,0.5 mm water stable aggregate and their destruction rate,average diameter and organic matter content are the four best indicators to evaluate the soil anti-erodibility;soil anti-erodibility under different land use types are shrub landgrassland bambooslope farmland,which convinces that farmland set-aside can improve the soil anti-erodibility.It can achieve opposite conclusion when use micro-aggregates categories as indicator and water stable aggregates and organic matter categories as indicator respectively,but the latter are consistent with the result of principal component analysis,which relate with a special process of soil formation and the fragile ecological environment in this area.Tillage erosion can conduct to soil property redistribution on the surface of slope,and then affect the soil anti-erodibility.The soil anti-erodibility in different parts of slope farmland is in the order of the upperthe lowerthe bottomthe top,which is consistent with the distribution of water stable aggregate content,it is showed that water stable aggregate category indicators better reflect the properties of soil anti-erodibility.
出处
《水土保持研究》
CSCD
北大核心
2011年第5期5-9,共5页
Research of Soil and Water Conservation
基金
中央高校基本科研业务费(XDJK2009C103)
西南大学教师教育创新平台建设项目(100030-212010)
关键词
岩溶区
耕作侵蚀
土壤抗蚀性
主成分分析
karst area
tillage erosion
soil anti-erodibility
principal component analysis
