秦岭山区典型人工林地土壤质量评价研究  

Evaluation on Soil Quality of Typical Article Forest Land in Qinling Mountains

作　　者：杨维鸽 赵培 叶媛媛 张红侠 梁世全 YANG Wei-ge;ZHAO Pei;YE Yuan-yuan;ZHANG Hong-xia;LIANG Shi-quan(College of Rural Planning and Architectural Engineering,Shangluo University,Shangluo,Shaanxi 726000;College of chemical engineering and modern materials,Shangluo University,Shangluo,Shaanxi 726000)

机构地区：[1]商洛学院城乡规划与建筑工程学院,陕西商洛726000 [2]商洛学院化学工程与现代材料学院,陕西商洛726000

出　　处：《辽宁农业科学》2022年第1期1-7,共7页Liaoning Agricultural Sciences

基　　金：陕西省科技厅一般青年项目(2020JK905);陕西省教育厅科研计划项目(21JP039);陕西省青年高校创新团队项目。

摘　　要：林地土壤质量是决定林地生产力的重要因素,评价森林土壤质量状况,可为林木的健康生长和森林土壤资源可持续利用等方面提供重要科学依据。文中对秦岭山区典型的核桃林、刺槐林、构树林、橡树林和白皮松林5种人工林土壤耕层的13项土壤物理化学指标进行分析,选取全量数据集法和最小数据集法两种不同的土壤质量评价方法,评价了不同人工林地土壤质量的水平,并比较了二者的评价结果。两种评价方法评价的不同人工林地土壤质量指数从大到小依次均为:核桃林>刺槐林>白皮松林>构树林>橡树林;土壤质量等级以"中等"和"较高"水平为主,处于"高"水平的土壤质量等级占比较少,人工林地耕层土壤质量总体较好;采用主成分分析法确定的评价不同人工林地土壤质量的最小数据集指标为土壤容重、pH、有机质、含水量、孔隙度;最小数据集法评价的土壤质量指数结果和全量数据集评价的结果较为接近,相对偏差较小,评价精度较高,说明最小数据集法可用于秦岭山区人工林地土壤质量的评价。The forest soil quality is an important factor which determines the forest productivity. The evaluation of the forest soil quality could provide an important scientific basis for the trees’ healthy growth in forest and the forest soil resources sustainable utilization. This paper combined field sampling and indoor analysis. The 13 soil physical and chemical indexes of Juglas regia, Robinia pseudoacacia L., Broussonetia papyrifera, Quercus palustris Münchh and Pinus bungeana forest soil were analyzed. Two different soil quality evaluation methods of total data set and minimum data set methods were selected to evaluate the soil quality level of different forest land. The results showed that the soil quality indexes of different forest land evaluated by the two methods in Qinling mountains were in the order: Juglas regia forest land>Robinia pseudoacacia L.forest land>Pinus bungeana forest land>Broussonetia papyrifera forest land>Quercus palustris Münchh forest land.The soil quality grades were mainly ‘medium’ and ‘high’, and the soil quality grades of ‘high’ level were less. The soil quality of artificial forest land was generally low. The minimum data set indexes were determined by principal component analysis. The minimum data set indexes for evaluating soil quality of different forest land were soil bulk density, pH, organic matter, water content and porosity. The soil quality index results based on the minimum data set method were similar to the results of the full data set evaluation, with small relative deviation and high evaluation accuracy. The minimum data set method could be used for soil quality evaluation of artificial forest land in Qinling mountains.

关 键 词：土壤质量 全量数据集法 最小数据集法 人工林地 秦岭山区 

分 类 号：S714[农业科学—林学]