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黑土丘陵区小流域土壤有机质空间变异及分布格局
摘要点击 2680  全文点击 1026  投稿时间:2015-11-11  修订日期:2015-12-29
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中文关键词  黑土丘陵区  土壤有机质(SOM)  空间变异  分布格局  影响因素
英文关键词  mollisol hilly area  soil organic matter  spatial variability  distribution pattern  impact factors
作者单位E-mail
高凤杰 东北农业大学资源与环境学院, 哈尔滨 150030 gaojiecumt@126.com 
马泉来 东北农业大学资源与环境学院, 哈尔滨 150030  
韩文文 东北农业大学资源与环境学院, 哈尔滨 150030  
单培明 东北农业大学资源与环境学院, 哈尔滨 150030  
周军 黑龙江省环境科学研究院, 哈尔滨 150036  
张少良 东北农业大学资源与环境学院, 哈尔滨 150030 shaoliang.zhang@neau.edu.cn 
张志民 东北农业大学资源与环境学院, 哈尔滨 150030  
王宏燕 东北农业大学资源与环境学院, 哈尔滨 150030  
中文摘要
      土壤有机质的空间变异和分布格局是土壤科学领域研究的热点.在经典统计学和地统计学的基础上,结合"3S"技术,对黑土丘陵区海沟河小流域土壤表层(0~20 cm)中有机质的空间变异、分布特征及影响因子进行深入探讨.结果表明,海沟河小流域土壤有机质含量在黑土区处于较低水平,变异程度为中等变异,且存在空间自相关性; 土壤有机质的空间变异受人类活动、耕作措施等随机因素影响很小,受结构性要素影响较大,空间上各向异性显著; 土壤有机质含量从东向西逐步减小,以高程为协变量的协同克里格插值能够提高空间插值精度.土壤有机质空间分布受地形地貌等自然因素以及受其制约的土地利用的影响较大,受交通道路、居民点等要素的影响较小; 采样点周边环境会增加有机质的空间变异和分布的不确定性.以流域为单元,进行SOM的空间变异、分布及影响因子研究具有重要意义和科学价值.
英文摘要
      Spatial variability of soil organic matter and its distribution pattern are the hot issues of soil scientific research. Selecting Haigouhe watershed as the study area, this paper mainly focused on the spatial variability, distribution pattern and its impact factors of SOM in the surface soil by classical statistics, Geo-statistics and "3S" technology. The results showed that: compared with the other black soil areas, the SOM content in Haigouhe watershed was a little lower, there was a spatial autocorrelation, and a moderate variability. Random factors, such as human activities, cultivation measures and so on, had little impact on the spatial variation, while the structural factors had a dominant function, and there was a remarkable spatial anisotropy of SOM. The SOM content reduced gradually from east to west with the familiar changes of height, so the co-kriging interpolation, selecting elevation as the co-variate, was employed to improve the accuracy. The spatial variability of SOM and its distribution pattern in Haigouhe watershed were greatly affected by topography and land use but weakly influenced by traffic, villages and other social factors. The surrounding environment of the samples would increase the uncertainty of spatial variability and interpolation of SOM and it cannot be ignored in future studies. In summary, it was a significant scientific research to analyze the spatial variability, distribution pattern of SOM and its main impact factors in a mollisol hilly watershed of China.

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