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应用生态学报 ›› 1999, Vol. 10 ›› Issue (3): 353-356.

• 研究论文 • 上一篇    下一篇

农业环境中土壤取样误差研究

贺立源1, 项雅玲2   

  1. 1. 华中农业大学农化系, 武汉 430070;
    2. 湖北省农业厅环保站, 武汉 430071
  • 收稿日期:1997-08-18 修回日期:1997-11-10 出版日期:1999-05-25 发布日期:1999-05-25
  • 通讯作者: 贺立源,男,48岁,教授,主要从事植物营养生态与农业信息系统方面的教学和科研工作,先后发表科技论文25篇.E-mail:hlyzhixz@public.wh.hb.cn E-mail:hlyzhixz@public.wh.hb.cn
  • 基金资助:

    欧共体国际合作研究资助项目(TS-CT-92-0065).

Soil sampling error in agricultural environment

He Liyuan1   

  1. Department of Agrochemistry, Central China Agricultural University, Wuhan 430070
  • Received:1997-08-18 Revised:1997-11-10 Online:1999-05-25 Published:1999-05-25

摘要: 对自然条件下8种土壤类型、39个取样地块的25个土壤理化参数的取样误差进行了综合研究。结果表明,不同地块间,按累计取样误差大小排序为:池塘>地块边缘>自留地>林地>商品菜地>旱地>水田>滩地。在所有地块测定项目中,取样误差最大的是Cl-,平均高达70%以上,其次是土壤有效磷,除滩地外取样误差基本上都超过30%;有效钾和全硫的取样误差也多在20%以上;取样误差最小的理化参数与成土母质有关,其中包括各种重金属和全量P、K、Mg以及pH和砂粒等,除极个别外,误差都在10%以下;2种粒度的土壤水分、碳酸钙、粉砂、粘粒、有机碳、全量N、Na、Ca、B和As等11项理化参数的取样误差居中,误差变动于10%~20%之间。聚类分析可以将不同测定项目大致分为3类,客观反映了人类活动对土壤理化参数分布均匀性的影响。

关键词: 农业环境, 土壤分析, 取样误差

Abstract: Acomprehensive study on soil sampling error was conducted based on39 sampling plots of 8 different land use types with 25 soil physical and chemical parameters. The accumulative sampling error of different land use types was in order of pond sludge>plot margin>home garden>wood land>commercial vegetable plot>upland field>paddy field>beach plot.Among all test parameters, Cl- was of the biggest smpling error, with a mean error of more than70%. The next one was available P, with a sampling error over 30%. The sampling errors for available Kand total Swere also above 20%. The parameters with the smallest sampling error were related with soil parent materials, which included various heavy metal elements, total P, total K, total Mg, pHand sand, and their sampling errors were less than10%. There were 11 parameters with 10~20% of sampling errors, such as water content of two granule soils, CaCO3, silt, clay, organic C, total N, total Na, total Ca, total B, and total As. The test parameters could be classified into 3 types by cluster analysis, which objectively reflected the impact of human's activities on the distributtion consistency of soil physical and chemical characteristics.

Key words: Agricultural environment, Soil analysis, Sampling error