检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王子龙 孙建 姜秋香 付强 林百健 何馨 WANG Zilong;SUN Jian;JIANG Qiuxiang;FU Qiang;LIN Baijian;HE Xin(School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China)
机构地区:[1]东北农业大学水利与土木工程学院
出 处:《东北农业大学学报》2019年第10期54-62,共9页Journal of Northeast Agricultural University
基 金:国家自然科学基金项目(51579045);黑龙江省自然科学基金项目(YQ2019E004)
摘 要:为研究区域尺度土壤有机质分布特征及其影响因素,以松嫩平原黑土区中部为研究区,利用经典统计学、地统计学和多重分形结合方法,探究土壤有机质分布特征及其变异规律,通过方差分析法明确高程及土地利用类型对有机质含量影响程度。经典统计学分析表明,0~20和20~40cm土层土壤有机质含量平均值分别为57.896和53.371g·kg^-1,处于较高水平,变异系数分别为0.462和0.498,均为中等变异;地统计学分析表明,0~20和20~40cm土层土壤有机质块金系数分别为0.626和0.712,说明有机质均具有中等相关性,东北至西南方向和北向南方向土壤有机质均逐渐降低,高斯模型为不同土层土壤有机质最佳拟合模型;多重分形分析表明,0~20cm土层有机质空间变异性略低于20~40cm土层,低值决定其空间变异性;方差分析表明,高程越高土壤有机质含量越高,不同土地利用类型中有机质含量排序为:林地>耕地>草地。综合分析得出,有机质低值信息、高程以及土地利用类型对研究区土壤有机质影响较大。In order to study the distribution characteristics of soil organic matter and its influencing factors on the regional scale, the distribution characteristics and variation law of soil organic matter were explored by the combination of classical statistics, geostatistics and multifractal in the middle of the black soil region of the Songnen Plain. The degree of influence of elevation and land use types on organic matter content were determined by analysis of variance. The results of classical statistics showed that the average values of soil organic matter content in 0- 20 and 20- 40 cm soil layer were 57.896 and 53.371 g· kg^-1, which were at a high level. Two layers of soil organic matter content were moderately variable, and the coefficient of variation was 0.462 and 0.498, respectively. The results of geostatistics showed that the gold mass coefficients was 0- 20 cm soil layer and 20- 40 cm soil layer were 0.626 and 0.712, respectively, indicating that their organic matter had medium correlation. The soil organic matter content of the two layers of soil gradually decreased from northeast to southwest and north to south. The Gaussian model was the best fit model of soil organic matter in different soil layers. Multifractal analysis showed that the spatial variability of 0-20 cm soil layer was slightly lower than that of 20-40 cm soil layer, and the low value determined its spatial variability. Analysis of variance showed that the higher the elevation, the higher the soil organic matter content. The order of organic matter content in different land use types was forest land>cultivated land> grassland. Comprehensive analysis showed that low-value information of organic matter, elevation and land use types had a greater impact on soil organic matter in the study area.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.198